what is market analysis?

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    Market Analysis

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    Report Outline

    I. The Nature and Scope of Market Analysis

    II. Importance of Feasibility Studies to Market Analysis

    III.

    Definition of Terms

    IV. Typologies or Approaches to Market Analysis

    V. Points in Evaluating the Contents of Market Analysis

    A. General

    B. Applied to Clean Development Mechanism Project

    VI. General Technique/Method in Conducting Market

    Analysis

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    Market Analysis

    It is done to determine the extent to which

    goods and services to be generated by the

    project are needed or demanded

    It is done to design the appropriate

    marketing strategies and plans that will

    help ensure that a projects target users

    are reached and will accept the projectsoutputs

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    A project study must define:

    - Types and nature of products or services

    to be generated by the projects

    - Specific uses- Geographic influence area

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    Market Study

    "lifeblood" of every project feasibility study

    addresses the question of demand and profitability

    seeks to determine:

    size, nature and growth of total demand for the product

    description and price of the product to be sold

    supply situation and the nature of competition

    different factors affecting the market of the product

    appropriate marketing program

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    The Nature and Scope of Market

    AnalysisObjectives of a market study:1) To determine the extent to which goods and services to begenerated by the project are needed or demanded

    2) To design the appropriate marketing strategies and plans thatwill help ensure that a project's target users are reached and willaccept the project outputs

    - project's expected outputs are analyzed in terms of their pastand present demand-and-supply situations, expected future

    behaviors, and the resulting demand-supply situations, expectedfuture behaviors, and the resulting demand-supply gaps as theyrelate to project outputs

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    The Nature and Scope of Market

    Analysis A project study must clearly define the types

    and nature of products or services to begenerated by the project, their specific uses,

    potential users, geographical influence area,and other characteristics.

    When more than one type of output is

    expected, the expected product range shouldbe described

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    Market Analysis and CDM

    Market analysis can be applied to answer the

    following questions:

    Demand for a climate change-mitigating measure in the

    host country

    Demand for carbon credits in Annex I countries

    Sources of supply to fulfill the project (e.g. search for a

    dumpsite, location for wind farm)

    How to address concerns by host communities regarding

    impact of the project

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    Definition of Terms

    Market- refers to an arena for potential

    exchanges that may involve money; where

    demand-and-supply conditions for goods or

    services are taken into account, whether or

    not such goods or services carry a market

    selling price

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    Identifying demand

    determinants Consumer demand demand for product for final consumption

    purposes

    Producer demand - demand for a product used as an input in theproduction of other goods

    Demand for social services (special case of consumer demand

    where services have no market price and the limiting factor is thegovernments ability to pay)

    Demand determinants: Population

    Income

    Prices

    Substitution possibilities Changes in users taste

    Rate of investments

    Government policies and budget

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    Factors Affecting the Market

    Demand

    Population growth

    income changes

    tastes

    urban/rural development

    prices of substitute/complementary products

    advertising and promotion

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    Estimating past and present

    demand

    Sources of Data

    Historical Data Coverage

    Techniques for Demand Estimation

    Standards or Coefficients

    Chain ratio method

    Market-buildup method

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    Projecting Demand

    Survey of Peoples Intentions and NeedsAssessment

    Experts Opinion

    Time Series Analysis

    Statistical Demand Analysis

    Use of planning standards

    Market testing

    Other demand considerations

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    Supply Analysis

    Supply Analysis - evaluation of existing

    supply conditions

    Identifying supply sources

    Estimating past and present supply

    Projecting supply

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    Demand- Supply Consolidation

    Past and present supply-demand gap

    Future supply-demand gap, without the

    project

    Future supply-demand gap, with project

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    Other market considerations

    Competitiveness of product

    Government policies

    Marketing program

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    Parts of a Marketing Plan

    Introduction

    General Business Condition

    Competitive Conditions

    Market Research Results

    Sales and Distributions Plan

    Advertising and Sales Promotion

    Other related aspects (product formulation,packaging,legal clearance, raw material procurement, etc.)

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    Typologies/Approaches

    Trend or Time Series Analysis Graphical approach

    Freehand drawing

    Two-point line

    Average growth methods

    Arithmetic average growth (straight line)

    Geometric and compound growth

    Smoothing techniques Moving average method Use of seasonal index

    Curve fitting

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    Correlation and Regression

    Analysis Can be used to find out if the outcome from

    one variable depends on the value of the

    other variable, which would mean a

    dependency from one variable on the other.

    Regression and correlation analysis can be

    used to describe the nature and strength of

    the relationship between two continuous

    variables

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    Stages for Correlation and

    Regression AnalysisCreate a scatterplot for the two variables and

    evaluate the quality of the relationship.

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    Stages for Correlation and Regression Analysis

    Pearsons Correlation Coefficient can be

    calculated as:

    Pearson's correlation coefficient (named after Karl Pearson, 1857-1936) is

    a number between -1 and 1, that measures the strength of a linear

    relationship between two continuous variables. The absolute value of the

    coefficient measures how closely the variables are related. The closer it is

    to 1 the closer the relationship. A correlation coefficient over 0.8 indicates

    a strong correlation between the variables.

    If the scatterplot shows a reasonable linear relationship (straightline) calculate Pearson's correlation coefficient to evaluate the

    strength of the linear relationship.

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    Stages for Correlation and Regression

    Analysis

    If we want to use a variable x to draw conclusions concerning a variable y:

    y is called dependent or response variable.

    x is called independent, predictor, os explanatory variable.

    If the relationship between two variables is linear is can be summarized by a

    straight line. A straight line can be described by an equation:

    y = a + b x

    a is called the intercept and b the slope of the equation.

    The slope is the amount by which y increases when x increases by 1 unit.

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    Limitations of Regression and

    correlation analyses

    Forecasts are obtained by extrapolating data fromestablished relationships of the variables beingstudies whose behavior may not necessarily holdat other times or places

    The methodology assumes that no lineardependence exists among the independentvariables so that a high degree ofinterdependence among the independent

    variables will affect the precision of estimation It is not recommended for analyzing small projects

    where the cost and effort in obtaining needed dateare not commensurate to the project cost.

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    Planning standards

    Illustration of Demand projections

    Illustration of Supply projections

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    Other statistical techniques

    Statistical Demand/Supply Analysis

    Regression

    Used to examine the type of relationship that exists

    between demand/supply and its determinants

    Help the analyst establish the type of association

    between two or more variables

    Correlation analyses