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Consumer’s Acceptance towards Genetically Modified Crops and Growth of the Economy: A Theoretical Approach

Author

Listed:
  • Amrita Chatterjee

    (Madras School of Economics)

  • Arpita Ghose

    (Professor, Department of Economics, Jadavpur University)

Abstract

This paper develops a three-sector theoretical growth model to capture the role of consumers’ acceptance towards the second generation of genetically modified (GM) crops in the long run growth process of the economy. An Acceptance (towards GM crop) parameter is defined as a ratio of consumption of GM to traditional variety of food, whose growth rate is determined by growth rate of human capital. Dynamic stability of the system is ensured provided the value of acceptance parameter is within a certain range. A range of the acceptance parameter is also obtained which ensures not only the dynamic stability of the system but also ensures higher rate of growth of an economy that produces both GM and non-GM crops compared to an economy that does not produce GM crops.

Suggested Citation

  • Amrita Chatterjee & Arpita Ghose, 2016. "Consumer’s Acceptance towards Genetically Modified Crops and Growth of the Economy: A Theoretical Approach," Working Papers 2016-137, Madras School of Economics,Chennai,India.
    • Handle: RePEc:mad:wpaper:2016-137
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    References listed on IDEAS

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    More about this item

    Keywords

    consumer acceptance; dynamic optimization; economic growth; genetically modified crop;
    All these keywords.

    JEL classification:

    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium

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