pro-poor value chain development, upgrading and … value chain development, upgrading and...
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Pro-poor value chain development, upgrading and inclusion: Drawing theoretical insights from the field
Roldan Muradian1*, Claire Chagwiza1,Worku Tessema2 and Ruerd Ruben1
1 Center for International Issues Nijmegen (CIDIN). Radboud University Nijmegen, The Netherlands 2 Department of Development Economics. Hawassa University, Ethiopia * Corresponding author. Centre for International Development Issues Nijmegen (CIDIN). Radboud University Nijmegen. P.O. Box 9104. 6500 HE. Nijmegen. The Netherlands. Email: [email protected]. Phone: + 31 24 361 30 58.
Pro-poor value chain development, upgrading and inclusion: Drawing theoretical insights from the field
Abstract
The present paper aims to advance in the understanding of the mechanisms through which
value chain interventions can contribute to rural economic development. After developing an
integrated theoretical framework, we examine how development interventions affected (a) the
upgrading capacities and the economic performance of different actors along the value chain
system, and (b) the conditions of inclusion of small-scale farmers. The paper deals with the
changes induced in the economic performance of stakeholders through four mechanisms: value
chain governance; social structure (networks and social capital); the development of
entrepreneurial and managerial capacities; and value chain finance. Insights were derived from
the comparison of two pro-poor value chain interventions (honey and linseeds) in Ethiopia.
Key words: value chains, upgrading, rural-development; inclusion; pro-poor development interventions
1. Introduction
One of the noteworthy innovations in the field of development studies during the past decade
has been the emergence of the value chain thinking. This approach stresses that vulnerable
actors in developing countries (such as small-scale farmers) are both constrained and enabled
by the institutional setting of networks and economic relations in which they operate. It is
therefore necessary to understand such institutional setting in order to figure out the prospects
for enhancing the economic performance of these agents.
The body of literature on global value chain analysis has paid special attention to the political
economy of transactions along a value chain, and more particularly to the notion of
“governance”, as well as to the agency of actors and the interaction between them that enable
“upgrading” of the concerned economic processes (Raikes et al., 2000; Dolan and Humphrey,
2004; Gibbon et al., 2008; Ponte and Ewert, 2009). Governance basically refers to the
configuration of (power) relations underlying the process of setting the “rules of the game”.
That is, strategic decisions about who participates and under which conditions, including the
allocation of rent and risk among different nodes of the chain (Ponte and Gibbon, 2005).
Another two additional aspects that have received special attention by this academic stream is
the analysis of the so called “lead firms” in setting entry barriers and the condition of
participation of other agents of the chain and the mechanisms of “coordination” between them
(Ponte, 2002; Gereffi et at., 2005). Namely, how information is transmitted and activities
brought into line.
Interestingly, the evolution of the value chain thinking has not been only an academic
endeavor, since it has also been accompanied by changes in (development) practices. The
thrive of value chain analysis in academic circles has induced a paradigmatic shift in the
practice of development cooperation, particularly in the design of interventions targeting poor
rural dwellers. After decades of regular failures in the implementation of rural interventions
focused on the creation of local supply capacities among small-scale landholders, development
organizations have started to adopt value chain approaches. More specifically, emerging value
chain interventions in international development cooperation share the following features:
(a) A systemic approach that stresses constraints and opportunities derived from the
configuration of market and extra-market relations (networks)
(b) A larger emphasis on building partnerships between different sectors and stakeholders
(c) Openness towards the private sector, and more specifically willingness to strengthen
the action of lead firms (and their linkages with more vulnerable agents of the value
chain)
(d) A shift in the “center of gravity” from the creation of supply capacity to the creation of
demand and the establishment of linkages
The core proposition of the so-called “pro-poor value chain interventions” is that by means of
allocating efforts to (i) enhancing the demand and building up linkages in the “middle” of the
value chain; (ii) strengthening the supply capacity (ability to produce goods or services with
particular attributes) and (iii) ensuring that what is produced is aligned with the demand,
vulnerable upstream agents (such as small-scale farmers) can be “pulled” into specific markets,
and therefore successfully integrated into economic dynamics to which they were hitherto
excluded or participated under very unfavorable conditions. A key assumption of value chain
interventions is thus that major causes of poverty traps are inefficient or missing linkages
between producers and their actual or potential markets (Humphrey and Navas-Alemán, 2010).
The creation of linkages and the coordination between agents are hence at the core of the value
chain intervention logic. In practice, this approach implies working not only with vulnerable
social groups upstream in the value chain, but also (and maybe more importantly) with those
stakeholders downstream in the value chain with a greater leverage on setting the conditions of
participation of other actors. The willingness to work closely with the private sector, and more
specifically with transnational corporations or large national enterprises (lead firms), is a
particularity of this paradigmatic shift, since partnerships between civil society organizations
and powerful firms have been rather absent from the practices of the international development
cooperation in the past. Such inter-sector partnerships are part of the new forms of governance
– particularly private governance arrangements – that have thrived in agribusiness value
chains during the past decade (Muradian, and Pelupessy, 2005; Bitzer et al., 2008; Schouten
and Glasbergen, 2011), as an attempt to fill governance gaps at different scales (from local to
global).
A number of donor and multilateral agencies have developed recently guidelines for value
chain analysis and development. Some examples are the “Gender and Pro-poor Value Chain
Analysis” of USAID, the ValueLinks methodology of GTZ, The FAO’s “Guidelines for Value
Chain Analysis”, the ILO’s “Guide for Value Chain Analysis and Upgrading”, and “Moving
Toward Competitiveness: A Value Chain Approach” of the Foreign Investment Advisory
Service of the World bank (for reviews of value chain approaches in development cooperation
see Altenburg, 2007; Henriksen, et al., 2010; Humprey and Navas-Alemán, 2010). In addition
to the global value chain approach mentioned above, these practical guidelines for value chain
analysis and intervention design build on concepts from a number of academic streams of
literature, including the Global Production Network and the Systems of Innovation approaches
(Muradian et at., 2011). However, despite some recent attempts (Barrientos et al., 2010;
Bolwig et al., 2010; Riisgaard et al., 2010) to our knowledge there is not yet an explicit theory
of change for pro-poor value chain interventions. We aim to contribute to fill this gap by means
of drawing theoretical insights about the mechanisms through which value chain interventions
enhance the economic performance of different actors along the chain and induce changes in
the conditions of market participation of small farmers. We therefore expect to take steps
towards the construction of a theory of change of pro-poor value chain development, by means
of integrating different streams of literature as well as insights gained from development
practice. Such theoretical framework is meant to build a bridge between academicians and
practitioners in the field of value chain development in agriculture.
The main goal of the present study is to understand the mechanisms through which value chain
interventions can contribute to rural economic development through the market integration of
small-scale landholders. More specifically, we will examine how this type of interventions
affect (a) the upgrading capacities and the economic performance of different actors along the
value chain system, and (b) the conditions of inclusion of small-scale farmers. These
conceptual contributions will be elaborated based on empirical evidence and lessons drawn
during the execution of the SNV’s pro-poor value chain development approach, during the
period 2006-2010 in Ethiopia. The paper will specifically deal with the changes induced in the
economic performance of stakeholders through four mechanisms: value chain governance;
social structure (networks and social capital); the development of entrepreneurial and
managerial capacities; and value chain finance. Insights will be derived from the comparison of
two types of interventions (two case studies) conducted by the implementing agency (SNV).
2. The two cases: Brief description of the interventions
In the following paragraphs we summarize the main pillars of the pro-poor value chain
development approach adopted by the implementing agency in Ethiopia, and the types of
interventions that were conducted in the two cases addressed by this study. The model of value
chain interventions adopted consists in a multi-level and multi-actor approach, which revolves
around the basic idea of creating business opportunities for chain actors (sector level) and
enabling the actors to transform these opportunities into actual business endeavors. This
approach is constituted by four pillars, which guide the interventions on the ground:
Sector development: A key component of the approach is the improvement of the
competitiveness of the whole targeted sector, through (a) the creation of the appropriate
organizational framework at the sector level. This involves the creation or strengthening of
associations of stakeholders in different nodes of the chain (growers; exporters) as well as the
establishment of multi-stakeholder platforms, in which agents not directly engaged in the value
chain (such as the government) also participate; (b) the creation of new market opportunities;
(c) raising the awareness of different stakeholders about quality standards and (d) the
promotion of effective public policies.
Business-to-business development: The approach aims to build win-win relationships between
the agents of the value chain, basically as a way to “pull” vulnerable rural social groups into
more favorable market dynamics. Business-to-business development does not only involve the
creation of linkages (flow of products), but also the promotion of appropriate technologies (to
align the supply with the demand), strengthening technical capacities and the establishment of
reliable business relations. The latter is definitively the most challenging process, since it
encompasses building trust among actors and inducing changes in the “business culture”. Thus,
this dimension has to do not only with the enhancement of linkages in a network of relations,
but also with inducing changes in the behavior of stakeholders, so the “quality” of these
relations also improves. As a way to realize this, the approach is focused on creating and
strengthening linkages in the “middle” of the value chain.
Knowledge management: The main goal of this component is to systematize the knowledge
generated during the execution of the interventions, in to order to facilitate the replication in
other sectors (value chains), upscale the scope of the intervention and in general ensure the
sustainability of results. The generation and transfer of knowledge is a key component of the
intervention strategy if local agents are expected to become empowered and ensure long-term
sustainability of results.
Service capacity development: Also as a way to ensure long-term sustainability, the approach
devotes special attention to create the capacity among local providers to deliver business
development services to the agents of the chain. This entails using as much as possible local
service providers during the execution of the interventions, setting up a pool of service
providers and a program for capacity development of these providers and promoting the
creation of markets for business development services.
The two selected cases are considered as “best practices” by the implementing agency. The
first case has to do with the combination of training on oilseeds agricultural practices and the
set-up of a linseeds multiplication system (with the support from several stakeholders, such as
the Ethiopian Institute of Agricultural Research, local extension workers and private service
providers) among members of Didaa Farmers’ Cooperative Union. In this case, the knowledge
brokering and networking by the implementing agency resulted in the design of the first
informal linseed multiplication system at farmers' level in Ethiopia. The second case deals with
inclusive business in the honey sector. Bezamar Agro-Industry Plc. is one of the pioneer
companies in the business of honey processing in Ethiopia and the first one to have exported
honey to the European Union. The firm relies on many small suppliers. By means of a
combination of quality training and technology transfer to suppliers (small-scale farmers) and
business development services to Bezamar, the implementing agency has promoted a mutually
beneficial relationship between the lead firms and suppliers.
2.1 Honey
In 2005, through a multi-stakeholder and participatory process, honey was identified as a
commodity with high potential for market expansion in Ethiopia. The sector was characterized
however by a number of problems, including high levels of adulteration, high moisture content,
low prices for producers, lack of long-term and reliable trading relations, and
commercialization restricted to the Ethiopian market, despite the export opportunities. Since
2007, the implementing agency has been involved in facilitating the participation of Ethiopian
traders and exporters in international fairs for the promotion of Ethiopian honey; the formation
or strengthening of professional associations (bee-keepers and traders/exporters), creation of
the honey multi-stakeholder platform (Apicultural Board) and the accomplishment of the
European Union accreditation for Ethiopia (a formal requirement to export honey to the EU).
The value chain intervention approach has emphasized the provision of training to bee-keepers
on honey production and quality management and the transfer or more productive technologies
(transitional beehives) to them. Bezamar, a honey processing, trading and exporting company,
has played a pivotal role in the implementation of the interventions, at different levels. The
owner of Bezamar has been one of the key entrepreneurs and leaders that have facilitated the
transformation of the honey sector in Ethiopia. As it might be seen in Figure 1, Bezamar
exported about 70 tons of honey in 2010 (from being fully devoted to the domestic market
before the intervention), the bulk of it coming from the Sheka zone (where the Masha district is
located). Through the grants provided by the implementing agency, the firm could train its pool
of suppliers on quality, and increase the productivity of these suppliers through the promotion
of transitional beehives (a hive technology that is between the conventional and the modern
one, both in terms of cost and productivity). Honey production can be doubled by the adoption
of transitional beehives. In addition, transitional beehives are kept at the backyard (instead of
hanging on forests’ trees as the traditional beehives do). Bezamar was in charge of
coordinating the training and technological transfer programs. The main quality problems that
were solved by the intervention were the high content of moisture content and impurities. In
Masha district (place where the fieldwork for this study was conducted), the main suppliers of
Bezamar are groups of bee-keepers organized in either primary cooperatives or private limited
companies (PLCs). The main difference between these two types of groups is the size of the
organization. While primary cooperatives might have several hundreds of members, PLCs are
allowed to have a maximum number of 50 members. 5 primary cooperatives and 3 PLCs
located in the Masha district have become long-term suppliers of Bezamar, and benefited from
the training and technological transfer programs.
Insert Figure 1 around here
2.2 Oilseeds
The initial problems identified in the oilseeds sector had to do with low productivity, lack of
technical skills at the agriculture and processing levels, and different sorts of market
imperfections along the value chain, related to lack of appropriate linkages and information
asymmetries. After the initial selection of the oil value chain as a priority sector (through a
multi-stakeholder process), in 2005 the multi-purpose cooperative union Didaa was identified
by the implementing agency as a potential strategic partner. This cooperative union is located
in Arsi Robe, Oromia region, and has about 19.000 members distributed in 27 primary
cooperatives. The union played a core role in the intervention, since it provided the appropriate
organizational setting for technological dissemination and commercialization. The overall
objectives of the intervention were to contribute to the market integration of small-scale
farmers through oil seeds production and commercialization (triggered by training on
agricultural practices and seed multiplication).
Since 2006, the implementing agency has been instrumental in various interventions at the
oilseeds sector level, including the activation of the Ethiopian Pulses, Oilseeds and Spices
Producers and Exporters Association; the establishment of a Public Private Partnership on
Oilseeds, the creation of a multi-stakeholder platform, the promotion of Ethiopian oilseeds in
European fairs, awareness raising among key stakeholders (including consumers) about oil
quality, and the development of a code of conduct for the Ethiopia oilseeds sector, among
others. As a response to the constraints faced by the sector in terms of productivity, the
implementing agency piloted, with the collaboration of Didaa union, a strategy to boost
production of linseeds by means of combining training on good agricultural practices with the
set up of a system for multiplication and dissemination of improved seeds, led and
implemented by local farmers. The training to farmers and local extension agents from the
government (conducted in 2007) consisted in agricultural techniques of oilseeds, land
preparation, quality management, post-harvest and marketing. A training of trainers approach
was followed, targeting first local extension workers, who in turn replicated the training and
provided technical advise to farmers. In Ethiopia, the Ministry of Agriculture allocates these
agents (agronomic technicians) to every kebele (lower territorial division) in order to provide
extension services to farmers. The intervention made use of these locally available human
resources. In total, about 2.500 farmers from 17 primary cooperatives were trained.
In a second phase, in 2009, 29 farmers were selected to participate in the seed multiplication
scheme. These farmers, jointly with 10 extension workers, received additional training on seed
multiplication and quality control. The union provided improved seeds to these groups of
farmers (acquired from the Ethiopia Seed Enterprise) and committed to buy all the production
from the 20 ha that were allocated to seed multiplication (with a price 35% above the market
place at the time of harvesting). Later, the union sold the about 50 quintals of improved seeds
that were produced through this process to its members. In addition, the union also distributed
150 quintals of improved linseeds that it bought from the Ethiopian Seed Enterprise (at a more
expensive price). However, according to the union, members preferred the improved seeds
produced by their peers, due to the perception that they were more homogeneous, and therefore
more reliable. The union estimates that about 3.500 ha have been planted with the provided
improved seeds. Through the participation in the multi-stakeholder platform for oilseeds, Didaa
union has expanded its portfolio of costumers. Due to the expansion in its network, the union
has also changed its marketing strategy. While in the past the union waited passively for local
traders to come and buy oilseeds, after the expansion of its network large buyers make deals
directly with the union, without intermediation, which was reported to contribute to enhance
the margins from oilseeds commercialization. The new buyers include oil processors, exporters
and traders at the national level.
3. Methodology
We conducted a rapid appraisal of the concerned value chain interventions, taking as case
studies the previously mentioned two commodities (linseeds and honey). The data was
gathered through secondary information (reports from the implementing agency) and primary
information derived from the fieldwork that was conducted in three localities: Addis Abeba,
Arsi Robe (oilseeds) and Masha district (honey), during April and May 2011. We conducted
in-depth interviews with key informants and administered surveys to farmers (producers of
linseeds in Arsi Robe and Honey in Masha district). In Arsi Robe, we selected a random
sample of 100 farmers from two primary cooperatives (Bulala and Chaffe) that belong to Didaa
cooperative union. These farmers participated in the training provided by the union, as part of
the value chain intervention. In addition, we selected also randomly 50 neighboring member
farmers that did not participate in the training (25 from each of the 2 primary coops). In Masha
district, we administered a survey to 59 randomly selected members of three honey-marketing
primary cooperatives (Akach, Debele and Genobay) and 43 members of three honey-marketing
private limited companies (PLCs): Gada, Chiefdale and Shatto. Key informants included
practitioners at the program and sector levels, board members of primary cooperatives,
government officials, managers of lead firms and cooperative unions, and farmers involved in
key tasks during the interventions. Given its theoretical focus, in the present paper we mainly
report the results of the qualitative analysis and provide only descriptive quantitative results.
4. Theoretical framework
Figure 2 depicts the main components of the theoretical framework we have adopted. A very
key assumption is that changes in the economic performance are to a large extent determined
by two processes: upgrading capacity and inclusion. The latter comprises participation (being
engaged in commercial transactions) and the conditions of participation. We consider these as
proximate causes of economic performance. Furthermore, we identify 4 main mechanisms
through which value chain interventions induce changes in the upgrading capacity and the
processes of inclusion: coordination; social structure; entrepreneurial/technical capacities and
finance. In the following paragraphs we define these different analytical categories and discuss
how they are related.
Insert Figure 2 about here
Upgrading and inclusion
Upgrading capacity: we consider upgrading capacity as the ability of agents to appropriate rent
in an economic transaction through their agency. The literature on global value chains has
identified basically four main types of upgrading processes (Greffi et al., 2001): (a) Product
upgrading refers to the capacity of agents (firms or individuals) to appropriate rent by means of
changing the attribute of a product; (b) Process upgrading can be achieved when the
transformation of inputs into outputs is carried out in a more efficient way; (c) Functional
upgrading refers to the capacity to generate and retain rent through the adoption of new
functions in the value chain (vertical integration for instance); (d) Network or “relational”
upgrading is the process of acquiring rent through changes in the relationships with suppliers
or costumers. In the present paper we introduce a new typology of upgrading: collective or
horizontal upgrading is the ability to add value through the concerted action of agents in the
same node of the value chain, through collective action (i.e. by means of a farmers’ group).
Though these categories are defined as distinctive processes, the way most value chain players
appropriate rent is usually through a combination of different types of upgrading mechanisms,
which indeed might be very complementary. Upgrading is a dynamic concept, which allows
grasping the changing role of agents in value chains. Rents can be added or eroded, depending
on the competitive forces and the responses of actors to them (Kaplinsky and Morris, 2002).
The capacity to upgrade is a key aspect of entrepreneurship and it is expected to determine the
prospects to retain or add value to a particular economic transaction across time.
In addition, an important contribution of the value chain thinking is the notion that the
capacity of an agent to appropriate rent depends not only on its own agency, but also on the
upgrading strategies adopted by other players down- or upstream in the chain. The upgrading
opportunities of different actors in the chain are hence inter-connected. The appropriation of
rent by a particular agent may occur at the expense of others along the chain. However, it is
also possible that a number or all the actors involved in a value chain enhance simultaneously
their ability to generate and retain rent. This is only possible when the total income allocated to
the chain is enlarged. From this point of view, it would be possible to talk about “value chain
upgrading” when all the agents involved, or a particular set of them, upgrade their capacities to
retain rent in a concerted way (creating the possibility of win-win situations). In the present
paper we introduce two new concepts to understand the relationship between the upgrading of
different agents along the chain. By “concerted upgrading” we refer to the situation that arises
when upstream and downstream agents of the value chain reinforce each other upgrading
strategies, by means of concerted action. An example of this kind of situation is the
improvement of the quality of a particular product facilitated by the provision of training or
advisory services from buyers to suppliers. For instance, Ivarsson and Göran Alvstam (2010)
report a deliberate strategy of IKEA to engage in concerted upgrading with its suppliers, as a
move to reduce costs and ensure products specificities. Bolwig et al. (2009) show evidence of
concerted upgrading between coffee farmers and a lead firm. In the opposite process, which we
could call “divergent upgrading”, agents diverge in the capacity to appropriate rent. This
means that the upgrading of one is achieved at the expense of the other. That is, while the rent
of one agent is enhanced, the added value of the other is squeezed. Value chain interventions
are based on the assumption that buyers (lead firms for example) will engage in concerted
upgrading with “poor” suppliers, contributing through this “pulling effect” to poverty
alleviation. Below we explore the conditions that favor processes of concerted upgrading.
Among the agents of a value chain there is always a constant interplay between competition
and cooperation. To understand such interplay is essential for addressing the question of how
targeted social groups benefit from value chain interventions. The interplay is basically the
result of both the agency of actors and external factors, such as the general level of competition
in the sector and the relative scarcity of the concerned products. A global context of high
inflation in agricultural goods, for instance, may favor the bargaining capacity of agents of
upstream agents of the value chain, since downstream agents could be less able to transmit
higher prices into consumers.
By participation we refer to the degree of involvement of a particular social group or firm in
the economic transactions that take place along a value chain. The conditions under which
these stakeholders participate are definitively very important in determining their economic
performance. These conditions are related, for instance, to market requirements (standards); the
distribution of risks, coordination and transfer of know-how, access to external support and the
bargaining power vis-a-vis other agents of the value chain.
Value chain governance
Value chain governance has to do with the nature of the economic relationship between agents
of the chain, and more particularly about the configuration of power that determines basic
“rules of the game”, such as entry barriers, market conditions (standards), who participates,
how risk is distributed, the transfer of know-how and how activities are aligned (coordination).
The degree of coordination is a very important attribute of the governance of value chain
relations. Through coordination, extra-market information is transferred between agents, so the
attributes of a product or service, or the time and conditions of delivery, can be aligned. The
literature of new institutional economics and organizational theory has identified three main
categories of governance for economic transactions: (a) hierarchy (vertical integration); (b)
hybrid or networks and (c) markets. Vertically integrated firms are example of hierarchical
organizations, while spot markets where transactions between agents are exclusively driven by
price considerations are examples of market forms of governance (Williamson, 1991). Between
these two extremes, there is a broad spectrum of different types of “partnerships”, that has been
called as “hybrid” organizational structures (Menard, 2007).
A very relevant issue for the theory of value chain interventions is the understanding of the
conditions under which concerted upgrading is likely to occur. The literature on transaction
costs economics has elaborated a robust theoretical background to explain why vertical
integration (or hierarchical forms of governance) takes place. This conceptual framework has
been supported by abundant empirical evidence (Joskow, 1988). A transaction costs
perspective predicts that more hierarchical structures tend to arise in situations where the
chances of opportunistic behavior and the cost of monitoring imperfect contracts are high (in
summary, in situations where transaction costs are high). Opportunistic behavior is more likely
when asset specificity is high. Asset specificity refers to assets whose returns are more valuable
within the context of a particular exchange than outside it. Relationship-specific investments
allow the possibility that one of the parties obtains rent from the fact that it could threaten to
stop transacting with the other. This potential threat reduces the incentives to undertake
relationship-specific investments, which might lead to inefficient outcomes. In his seminal
contribution to the theory of organizations, Williamson (1983) has identified four types of asset
specificity: site specificity (highly immobile), physical asset (equipment specific to the
transaction), human asset (relationship-specific human capital) and dedicated assets (general
investments that would leave the supplier with significant excess capacity in case the
transaction does not take place). Masten et al. (1991) have added a fourth type: temporal
specificity, which has to do with relationship-specific temporal requirements. In addition to a
high degree of asset specificity, the theory of transaction costs economics predicts that more
hierarchical governance modes are likely to emerge when the transaction takes place at a high
frequency, there are a small number of potential trading partners, and when there is high
uncertainty and complexity in the transaction (Williamson, 1991).
We propose that concerted upgrading is more likely to emerge when there is a high degree of
dependency between suppliers and buyers. That is, when transactions are characterized by high
switching costs for buyers and low chances of opportunistic behavior by suppliers. This is
expected to occur in hybrid types of governance with a high degree of coordination between
the parties. In the continuum between markets and hierarchical structures, this situation
corresponds to governance modes close to vertical integration. We argue then that the factors
that induce the emergence of concerted upgrading are essentially the same that influence the
degree of hierarchy in governance structures (asset specificity; number of potential trading
partners; frequency of the interaction; degree of uncertainty and complexity). A high degree of
coordination is however not enough to ensure concerted upgrading. We propose that three
additional factors are necessary: (i) a relative low capacity of suppliers (in relation to the
complexity of the transaction); (ii) a high degree of bridging social capital (to reduce the
chances of opportunistic behavior by suppliers) and (iii) low possibilities of functional
upgrading by suppliers. The latter has to do with the fact that buyers will be less interested in
investing in concerted upgrading actions if they know that this process could facilitate that
suppliers become direct competitors in the future. In transactions that require a high level of
coordination, buyers might be interested in engaging in concerted upgrading but maintaining
information asymmetries, capacities (know-how) and other features that create entry barriers to
their particular functional node in the value chain.
Social capital and collective action
When farmers are organized in groups for jointly marketing their products, concerted
upgrading will be only possible if they also engage in horizontal upgrading. Again, from the
point of view of transaction costs economics, we can expect that smaller, more homogeneous
and groups with a higher degree of bonding social capital are more able to coordinate activities
efficiently at the horizontal (among members) level (Nee and Swedberg, 2005; Ray and
Bhattacharya, 2010). Therefore, it could be argued that buyers would prefer to engage in
concerted upgrading with groups that are smaller and hold a higher degree of internal social
cohesion. From the point of view of the buyers, an additional advantage of dealing with small
groups is that they tend to have lower bargaining power. Nonetheless, there is a trade-off
between the search for groups that are able to coordinate efficiently at the horizontal level and
the transaction costs involved in dealing with many groups as suppliers. The importance of
economies of scale for the transaction is therefore a key factor affecting concerted upgrading
decisions by buyers.
The academic literature dealing with social capital is wide and extensive. From this large body
of literature, we could nevertheless take two heuristic concepts that are relevant for our
discussion. Broadly speaking, we could define bonding social capital as social features
involved in relations within groups (i.e. among members of a farmers’ group), such a trust,
commitment, identity and participation. Bridging social capital refers to a similar set of social
features but involved in the linkages between different social groups, such as between suppliers
and buyers (O’Brien, 2005). These concepts are very context-dependent (Svensen, 2006;
Schuller, 2007). For our analysis, it is also useful to differentiate between the structural and
cognitive dimensions of social capital. The structural dimension has to do with the quantity,
intensity and frequency of ties and interactions. The cognitive dimension refers to the
behavioral framework (attitudes, values) in which these ties and interactions are embedded
(Lancee, 2010). The notion of social capital stresses the idea that a network is a social resource,
which might render economic returns. Since investment in structural social capital
(establishment of ties) is not sufficient to ensure long term relationships and concerted
upgrading, trust building becomes a critical process in value chain development. Cognitive
social capital is the mechanism through which buyers and suppliers can consider each other as
reliable business partners. The establishment of reliable partnerships is probably the most
critical success factor of value chain interventions.
Entrepreneurial and technical capacities
The transfer of technical capacities is often a key component of value chain coordination. It is
therefore expected that such transfer (aiming at the alignment of productive activities and to
ensure particular attributes of products) play a significant role in concerted upgrading. The
creation of productive capacities has been traditionally one of the main areas of action of
international cooperation. Nonetheless, the enhancement of entrepreneurial capacities has
become part of the agenda of global rural development interventions recently.
Entrepreneurship is basically the ability to create new business opportunities and to respond
effectively to them. Important components of the entrepreneurship capacity are the ability to
innovate, to extend the business network and to establish reliable business partnerships.
Concerted upgrading requires collective entrepreneurship capacity, since it involves the
cooperation among entrepreneurs, as well as processes of joint innovation (among farmers and
between suppliers and buyers), willingness to take risk and flexibility to adapt to new
situations. Collective entrepreneurship (Cook and Plunkket, 2006) is a subject that however has
not received yet the necessary academic attention. We propose the following features as key
determinants of collective entrepreneurship: the alignment of incentives; the possibilities of
coordination (organizational structure and value chain governance); attitudes towards risk;
psychological traits and social abilities of managers. Among these variables we think that the
incentive structure plays a particularly important role, especially in the context of rural
development. The reason is that often ill-designed incentives hamper the motivation of
entrepreneurial agents to joint collective endeavors (e.g. farmers’ groups), even though the
potential returns (for both the individuals and the group) might be significant.
Finance
Access to finance remains as a key limiting factor for business development in rural areas. In
the agricultural sector in Africa, the importance of access to finance is even more prominent,
given the structural financial constraints that characterize African rural areas. As part of the
emergence of value chain thinking, recently there has been a rise in the attention paid by
practitioners to ‘value chain finance” (KIT and IIRR, 2010; Miller and Jones, 2010), which is a
generic term used to indicate financial arrangements either between the agents of the chain or
between them and financial organizations, which are built on the established relationships
along the chain and the flow of products. Value chain finance is expected to contribute to fill
the gap left by the relative scarcity of financial services in agriculture, and to enable a more
efficient management of risk along the chain and within financial organizations. Value chain
finance is expected to take advantage of the investment in social capital (trust) and the
establishment of strong and long-term relationships along the chain. Value chain finance is
thus intimately related to and builds upon the interventions in the fields of value chain
governance and social capital.
5. Understanding the mechanisms of inclusion and upgrading
In this section we analyze how the value chain development interventions in the two selected
cases have contributed to an improvement of the upgrading capacity and the conditions of
inclusion of small farmers. In the following paragraphs we discuss the changes that the
interventions have induced along the four mechanisms previously described (value chain
governance, social structure, entrepreneurial and technical capacities and value chain finance)
and the consequences for the upgrading capacity and inclusion of stakeholders.
5.1 The honey sector
Value chain governance
One of the major changes induced by the different sorts of value chain interventions in the
honey sector was the shift in the governance of transactions between the lead firm (Bezamar)
and its suppliers from a spot market to long-term (oral) contracts with a high degree of
coordination. This shift was the result of an increase in the degree of asset specificity in the
transaction. Bezamar developed a specific brand for the honey coming from Masha district,
called “tropical forest”. This fact, jointly with the reported improvement in quality (lower
moisture level and lower levels of impurity), enabled product differentiation and increased
substantially the level of site specificity (this specific kind of honey can be supplied by a
limited number of bee-keepers). Such process, jointly with some interventions at the sector
level (creation of international linkages, accreditation, etc.) made possible the development of
an international market for Bezamar. This was a key outcome of the interventions since it
enabled the lead firm to “pull” bee-keepers into higher levels of market integration. The results
reported in Figures 3 and 4 support the proposition that farmers have enhanced their level of
market integration (though no attribution can be made to the intervention with the available
data). Figures 5 and 6 also show a general trend towards increasing sales by farmers’ groups,
which suggests an effective ‘pulling” effect. This effect however varies greatly between
cooperatives and PLCs. Figure 7 reveals that members of PLCs consistently market a
considerable higher proportion of their production of honey through the group. Therefore,
among PLCs the “pulling” effects are stronger.
Insert Figures 3, 4,5, 6 and 7 about here
Though in this case the frequency of interactions is not high (Bezamar buys once of twice a
year from suppliers), a high degree of asset specificity (forest and high quality honey can be
obtained only from few locations), and a relative high degree of uncertainty (variations in
quality and availability) and complexity (quality management) induced a higher level of
coordination in the transaction between the lead firm and suppliers. In addition, a relative low
capacity of suppliers (who did not have appropriate bee-keeping technologies or quality
management systems for the requirements of international markets), created the conditions for
mutual dependency, inducing the emergence of incentives for concerted upgrading.
For the time being, producers’ organizations are the largest suppliers of honey to the lead firm.
In the long run however, cooperatives could eventually engage in functional upgrading
(starting to process and export honey directly). For that reason, the owner of the lead firm
stated that the firm envisions to set up a supply system based on its own pool of out-growers
(independent bee-keepers), which will allow a higher level of coordination. Such prospects are
very compatible with the predictions of the theoretical framework drawn above. When the
possibilities of functional upgrading are high, there are fewer incentives for concerted
upgrading and the creation of conditions for mutual dependency.
Social structure
The transfer of technical skills to suppliers (organized by the lead firm) was reported to work
not only as a mechanism for concerted upgrading, but also as way to build inter-firm trust. Two
facts indicate a relative high level of trust between suppliers and the lead firm after the
intervention: (a) the transactions are based on oral contracts and (b) value chain finance is
taking place between the parties (as explained below). The lead firm was able to build trust not
only with its pool of suppliers, but also with costumers abroad. A higher degree of bridging
social capital along the chain enabled the lead firm to engage in concerted upgrading with
suppliers and relational upgrading with costumers (to expand its international network). A
higher capacity of the coops and PLCs to commercialize honey and to deliver training services
increased their reputation among members and made possible the process of collective
upgrading. This case constitutes a good example of the combination of horizontal and vertical
coordination for value chain upgrading. As stated above, this process relies very much on
bridging and bonding social capital. In this case, higher levels of social capital reduced the cost
of opportunistic behavior in the transactions, both within the groups of bee-keepers and
between the suppliers and the lead firm.
Entrepreneurial and technical capacities
Technological transfer and the strengthening of technical capacities among bee-keepers
(particularly for quality management) were at the core of this value chain intervention.
Through the acquisition of transitional beehives and the improvement of bee-keeping practices,
bee-keepers enhanced efficiency and therefore engaged in “process upgrading”. By means of
buying higher quality honey (lower moisture and impurity levels), the lead firm reported that it
incurred in lower processing costs, thus also gaining efficiency. Concerted upgrading was
possible due to this win-win situation. The improvement of quality through training and the
creation of a specific export brand for forest honey also led to quality and regional product
differentiation, which generated considerable rent gains to the lead firm (product upgrading)
and a higher bargaining power for suppliers. As a consequence of the opening up of the export
market and the improvements in productivity, the amount of honey commercialized through
this channel experienced a boost.
While the transfer of technology and skills seems to have rendered considerable efficiency
gains, no major transformation in the managerial and entrepreneurial capacities of the
cooperatives seems to have occurred. Primary cooperatives suffer from lack of an appropriate
incentive scheme for managers. The interviewed board members reported that the economic
gains from participating in the board were minimal (basically per diems received sporadically).
On the contrary, PLCs have a much clearer incentive structure, since a share of the net benefits
is distributed among the members of the management board (according to their contribution to
running the business). Due to their smaller size (See Table 1) and clearer incentive structure, it
can be expected that PLCs will be more able to achieve higher levels of coordination with the
lead firm and to engage in concerted upgrading. In fact, members of PLCs consistently
reported higher sales of honey per household compared to members of cooperatives (see
Figures 3 and 4). In addition, despite having considerably less members, PLCs reported to
deliver similar sales of honey to the lead firm (see Figures 5 and 6). The latter is the result of a
higher level of “loyalty” among members of PLCs (see Figure 7) and their higher productivity.
We can conclude that PLCs are more efficient in the use of resources, able to transfer know-
how and to engage in collective and relational upgrading (they have achieved a higher level of
“collective entrepreneurship”). As mentioned in the theoretical section above, this could be
explained by a series of factors: more homogenous and smaller groups tend to have lower
coordination costs; the incentive scheme for board members among PLCs is clearer and
market-oriented. Attitudinal differences were reflected in the interviews we conducted. While
board members of PLCs stated that their motivation to engage in managerial activities were the
expectations of economic profits, board members of cooperatives justified their managerial
tasks rather as a contribution to the common good and a social duty. Board members of PLCs
consider cooperatives as inefficient organizations, and mentioned this as one of the initial
motivations to form PLCs (even though cooperatives already existed before their creation). In
addition, they mention as additional advantages of PLCs that they are less controlled by the
government (they say for example that cooperatives cannot decide about sales without the
approval from the local cooperative office) and the fact that a small scale facilitates
communication between members.
Insert Table 1 about here
Based on the theoretical framework elaborated above, we can argue that relations between the
lead firm and PLCs should tend to be more stable than relations between the lead firm and
cooperatives. This hypothesis could be tested empirically.
Value chain finance
Interestingly, two types of value chain finance emerged in this case. The firm provides
advanced payments to the PLCs, so the latter could finance the purchase of honey from their
members. However, the opposite occurred with the cooperatives. These organizations sold the
honey on credit basis to the lead firm, which paid back (with interest) after the honey was sold
in international markets. Board members of the cooperatives reported to have obtained loans
from the Tepi cooperative union and the governmental credit line for rural development.
However, they also stated that delays in the payment by the lead firm have created reputation
problems with their providers of finance, since the cooperatives were not able to pay back their
debts on time. In addition, they argued that these sources of finance were uncertain and that
probably they will not be available in the future. The lack of access to finance in the middle of
the value chain makes the supply system very vulnerable to changes in access to finance in the
upstream nodes (by groups of bee-keepers). The particular value chain arrangements that
emerged in this case made possible the concerted upgrading and a distribution of financial risk
that favored the lead firm and PLCs, though at the expense of the reputation of cooperatives
with their financiers.
A summary of the mechanisms discussed above for the honey value chain can be found in
Table 2.
Insert Table 2 about here
5.2 The oilseeds sector
Value chain governance
A major difference between the two selected case studies is that in the oilseeds sector the
intervention did not lead to remarkable changes in the governance of transactions. The
participation of Didaa cooperative union in the multi-stakeholder platform expanded
considerably its network of buyers, but the union did not engage in a long-term relationship
with a buyer or a pool of them due to the intervention. The main reason for this outcome was
that activities were focused on enhancing productivity among linseed growers, which did not
create enough asset specificity to promote a higher level of coordination or concerted
upgrading among upstream and downstream value chain players. The consequence was that the
“pulling” effect in this case was considerably less strong than in the previous one. Furthermore,
two additional factors contributed to a weaker pulling effect. First, the manager of the union
reported that lack of access to finance for the provision of the necessary working capital to
purchase linseeds from members prevented the cooperative from buying a higher amount of
linseeds. The high level of inflation in the price of agricultural products in general increased
the need for financial resources (to enable the coop to buy from members). Indeed, according
to the data reported in Table 3, the union bought less linseeds from members in 2009 (the year
when the effects of the training on productivity were expected to be realized). Secondly, the
cooperative is a multipurpose union (contrary to the specialized honey groups of the previous
case). The commercialization of linseeds is not the core business of this organization, and
therefore expertise on and time allocated to marketing were not conducive to maximize its
trading potential. Due to the combination of these factors, the union was not able to maximize
the rent that could have been obtained from the commercialization of linseeds.
Insert Table 3 about here
Social structure
One of the important changes induced by the intervention was in the domain of “structural”
social capital. The manager of the union stated that due to the participation of the cooperative
in the oilseeds multi-stakeholder platform, the number of linkages and potential trading
partners was expanded considerably, which is probably reflected in higher sales of linseeds by
the union in 2010 (see Table 3). Furthermore, due to the delivery of training services to
members the reputation of the union is reported to have improved among the members. It could
be argued that this constitutes an enhancement of bonding social capital (among members),
which is expected to facilitate collective upgrading and future entrepreneurial endeavors taken
by the union. This can be an important contribution of the intervention, particularly in a
country characterized by low levels of social trust, as Ethiopia.
Entrepreneurial and technical capacities
The transfer of technical capacities to farmers and extension workers was at the core of this
intervention. Training was assumed as a major transformative power. Since the technological
transfer and the enhancement of members’ skills were facilitated by the cooperative union, this
can be considered as an attempt of “collective upgrading”. Through their own collective action,
farmers aimed to set up “horizontal” coordination mechanisms. In this case, such collective
endeavor was directed to achieve a higher level of productivity. The results presented in
Figures 8, 9 and 10 nonetheless do not support the claim that the intervention produced an
increase in productivity, or even production. Figures 8 and 9 report average productivity of the
households that actually harvested linseeds (Figure 11 presents the proportion of farmers who
reported not to have harvested this crop). According to these results, the effect of training
rather seems to be a slow down in the rate of decline of productivity across time.
Insert Figures 8,9, 10 and 11 about here
The gap in productivity between farmers that participated in the training and those who did not
may be the result of selection bias (if more productive farmers were more likely to participate
in the training) or actually some efficiency gains (“process upgrading”) due to the acquired
skills. However, the results suggest that local conditions are not generating enough incentives
for productivity increase. In fact, on the contrary, farmers (trained and non-trained in both
primary cooperatives) report a steady decline in productivity of linseeds across time. During
the interviews, farmers mentioned the risks associated with oilseeds production. This type of
crop was reported to be very sensitive to weather variations. Some of the interviewed farmers
stated that they have incurred into loses in 2010 (for linseed production) due to excess of rain.
In fact, Figure 11 shows that a relative high proportion of farmers did not harvest linseeds all
along the period considered, either because they did not plant them or because they lost the
crop. Risk considerations might impose constraints on the amount of land that farmers are
willing to allocate to linseeds, and the time they assign to linseeds production vis-à-vis less
risky and staple crops, such as teff. This is an issue that requires further investigation. The
implications in terms of risk exposure and management of a higher level of market integration
by small-scale farmers is a subject that deserves special attention when designing value chain
interventions. The long-term sustainability of the intervention might be jeopardized if the
production at a larger scale of the concerned commodities implies a significant higher exposure
to risk by farmers.
Value chain finance
Since no long-term relationship was established between the union and buyers, the possibility
of value chain finance was lower in this case (compared to the honey value chain). As stated
above, the manager of the union stated that lack of finance (working capital) was the main
reason why the union could not buy the bulk of the additional linseeds that were expected a
result of the intervention. Lack of access to finance thus prevented the union and the farmers
from maximizing the economic benefits that it could have derived from the intervention.
While the previous case shows how a shortage of finance in the middle of the value chain
might become a burden for farmers (in terms of risk and costs), the present case exemplifies
how a shortage of financial services in the middle of the value chain may result in lost
opportunities for farmers’ organizations, a less intense ‘pulling’ effect of value chain
interventions and the lack of incentive at the local level to engage the farmers in higher levels
of production. Both cases therefore point to the critical importance of finance in value chain
interventions.
A summary of the mechanisms discussed above for the oilseeds value chain can be found in
Table 4.
Insert Table 4 about here
6. Concluding remarks
In the current paper we have elaborated a theoretical framework to understand the mechanisms
through which value chain interventions influence upgrading and inclusion processes all along
the chain, but more particularly among small-scale farmers. Such framework is built on
insights from transaction cost economics and global value chain analysis. The proposed four
main mechanisms for achieving upgrading and inclusion of farmers (value chain governance,
social structure; entrepreneurial and technical capacity and value chain finance) can be used
not only as analytical tools to assess the performance of value chain interventions but also as
categories to facilitate the design of this type of interventions and the identification of
indicators for monitoring and impact assessment. Integrated interventions are especially
demanding in terms of proper design, since their different components have to be consistently
articulated in order to render the intended results.
We have applied the theoretical framework to analyze two case studies. We argue that the
difference in the level of effectiveness between the two cases can be explained by the lack of
concerted upgrading in the oilseeds value chain, which was reflected in much weaker “pulling
effects” of the intervention. The latter was the result of the fact that a higher level of asset
specificity in the transactions was not achieved. Therefore, one of the main recommendations
of the present study is that practitioners have to be particularly attentive to ensure that the
“puling effects” of efforts devoted to strengthening the middle of the value chain can be
actually realized. Investments to enhance productivity at the farm level are not enough if they
are not accompanied by clear market incentives to farmers.
The theoretical framework elaborated above predicts that value chain interventions tend to be
more effective when a higher level of coordination between agents is likely. This is expected to
occur when asset specificity is high; there is a relative small number of potential trading
partners; trading interactions take place at a high frequency; and the relative degree of
uncertainty and complexity is high. The impacts on poverty alleviation are expected to be
larger when agents upstream and downstream in the value chain engage in concerted
upgrading. In addition to a high degree of vertical coordination, we argue that three other
factors are key in order to enable concerted upgrading: (i) a relative low capacity of suppliers
(in relation to the complexity of the transaction); (ii) a high degree of bridging social capital (to
reduce the chances of opportunistic behavior by suppliers) and (iii) low possibilities of
functional upgrading by suppliers. Some of the important practical corollaries of the conceptual
insights we have elaborated are that (1) practitioners should pay attention not only to the
creation of new linkages (structural dimension of social capital) but also to trust and other
relationship-enabling social features (cognitive dimension of social capital), including its
vertical (bridging) and horizontal (bonding) components; (2) the incidence of value chain
interventions might be seriously jeopardized if due attention is not devoted to finance as an
enabling element; (3) the interaction between complementary types of upgrading processes is
an issue that deserves special consideration by practitioners; (4) attention should be also
devoted to ensure that the intervention increases the level of asset specificity of the transaction
between upstream and downstream value chain players, and the other conditions for concerted
upgrading are met; (5) it is very important to consider local perceptions about risk related to
the production of the promoted cash crop and (6) the expected impacts of interventions cannot
be taken as granted.
More generally, we think that by means of paying more attention to the conceptual insights we
have drawn above and to the theory of change of value chain interventions practitioners can
gain a big deal of effectiveness. This creates great opportunities for cross-fertilization between
the academia and development practice.
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Figure 1. Lead Firm Puchases of Raw Honey and Exports From Sheka Zone (tons)
0
10
20
30
40
50
60
70
80
90
2005 2006 2007 2008 2009 2010
Non-exportedExported (tons)
Figure 2. Mechanisms explaining the relationship between value chain
interventions and economic performance
Sector/B2B/Knowledge/Service capacity
Val
ue c
hain
gov
erna
nce
and
coor
dina
tion
mec
hani
sms
Net
wor
ks, c
olle
ctiv
e ac
tion
and
soci
al c
apita
l
Fina
nce
Ent
repr
eneu
rial,
man
ager
ial a
nd
tech
nica
l ca
paci
ties
Inte
rven
tions
Cha
nnel
s
O
utpu
tsO
utco
mes
Upgrading and inclusion
Economic performance
Figure 3. Honey Sales Reported by Farmers (Ethiopian Birr), Sorted by Primary Cooperative
0
200
400
600
800
1000
1200
1400
1600
1800
2000
2008 2009 2010
AkachDegeleGenoby
Figure 4. Honey Sales Reported by Farmers (Ethiopian Birr), sorted by PLC
0
1000
2000
3000
4000
5000
6000
7000
2008 2009 2010
GadaChiefdaleShatto
Figure 5. Reported Honey Sales by PLCs
0
20
40
60
80
100
120
140
160
180
Chaffe Shatto Gada
Ethi
opia
n Bi
rr (1
000)
2007200820092010
Figure 6. Reported Honey Sales by Primary Cooperative
0
20
40
60
80
100
120
140
Genobay Akach Degele
Ethi
opia
n Bi
rr (1
000)
2007200820092010
Figure 7. Proportion of honey production farmers sold to the farmers' group
0,00
0,10
0,20
0,30
0,40
0,50
0,60
0,70
0,80
0,90
1,00
2007 2008 2009 2010
CoopsPLCs
Figure 8. Linseed productivity reported by farmers (kg/ha). Bulala primary cooperative
0100200300400500600700800900
1000
2007 2008 2009 2010
kg/ha
TrainingNo training
Figure 9. Linseed productivity reported by farmers (kg/ha). Chaffe primary cooperative
0
100
200
300
400
500
600
700
800
900
2007 2008 2009 2010
TrainingNo training
Figure 10. Reported linseeds production by farmers (kg)
0
50
100
150
200
250
300
Chaffe training Chaffe no-training Bulala training Bulala no-training
2007200820092010
Figure 11. Percentage of surveyed farmers that did not harvest linseeds
0
10
20
30
40
50
60
70
Chaffe training Chaffe no-training Bulala training Bulala no-training
2007200820092010
Table 1. Number of members in the farmer’s groups that participated in the study # Members Gada PLC 14 Chiefdale 17 Shatto 19 Akach primary coop 445 Degele primary coop 270 Genobay 451 Didaa cooperative union 21.000 aprox. Chaffe primary coop 1948 Bulala primary coop 1665
Table 2. Effects of value chain interventions in the honey sector (Masha district)
Mechanism Value chain governance
Social structure Entrepreneurial and technical
capacities
Value chain finance
Changes induced
From spot-market interactions to long-term contracts (from market to hybrid governance): higher level of coordination
Higher level of bridging and bonding trust Enables long term relations and value chain finance
Productivity increase and quality improvement
Lead firm filled the gap of working capital among PLCs The cooperatives filled the trader’s shortage of working capital
Effects on upgrading
Higher degree of asset specificity; create incentives for concerted upgrading;
Enables concerted upgrading Relational upgrading (vertical) for buyer and suppliers Collective upgrading (horizontal)
Product upgrading specially for the lead firm: quality and regional differentiation Process upgrading: higher productivity among farmers, lower processing costs by the processor Higher bargaining power for suppliers (more reliable and higher quality supply)
Value chain finance enabled different types of upgrading However, lack of long-term source of finance in the middle of the VC makes the supply chain more vulnerable
Effects on inclusion
Expansion in the number of bee-keepers involved in long-term relations with the lead firm
Lower risk for buyer and suppliers
Expansion in the amount of honey traded
Higher risk for cooperatives Lower risks for PLCs: Among PLCs, finance contributes to inclusion
Table 3. Linseed trade at Didaa cooperative union Year Quantity
(quintals) Buying price (Birr/quintal)
Selling price (Birr/quintal)
Net income per quintal
2008 5063 750 800 50 2009 4500 980 1000 20 2010 8110 640 710 70
Table 4. Effects of value chain interventions in the oilseeds sector (Arsi Robe)
Mechanism Value chain governance
Social structure Entrepreneurial and technical capacities
Value chain finance
Changes induced
No change: remained as spot market transactions
More linkages between potential buyers and the cooperative union Reputation of the union improved (higher level of trust on the capacity of the union to deliver services)
Slow down in the rate of productivity decline
Lack of value chain finance
Effects on upgrading
Absence of incentives for concerted upgrading
Relational upgrading: new linkages. Higher bargaining power of the union vis-à-vis buyers Facilitates collective upgrading
No sizable effects No sizable effect
Effects on inclusion
No sizable “pulling” effect
Dynamic effects: higher possibilities of collective action in the future
Probably higher production risks
No sizable effect