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Environmentally Extended Social Accounting Matrix for Climate Change Policy Analysis for India

Author

Listed:
  • Pal, Barun Deb

    (Institute for Social and Economic Change, Bangalore)

  • Pohit, Sanjib

    (CSIR-NISTADS)

Abstract

Linking economic growth and climate change is crucial policy issue for the developing economy and India is one among them. But to understand the implication of economic growth on GHG emission and input use efficiency improvement on economic growth, it requires an accounting framework which can integrate both the economic and environmental indicators. In this context this study has focused on construction of ESAM and further applied it to the ESAM multiplier model for impact analysis. The analysis presented in this study shows that 5% increase in overall export along with the 10% increase in efficiency in fertilizer, coal, petroleum and electricity use will boost the economic growth by around 2% and reduce CO2 emissions by around 11%. But this study also shows that the input use efficiency results cost advantages to the investors at a greater extent than employment generation and it cause further income inequality. However, the positive implication is that the efficiency improvement for input which are highly subsidised would improve economy’s fiscal health which can further be used for employment generation.

Suggested Citation

  • Pal, Barun Deb & Pohit, Sanjib, 2014. "Environmentally Extended Social Accounting Matrix for Climate Change Policy Analysis for India," Journal of Regional Development and Planning, Rajarshi Majumder, vol. 3(1), pages 61-75.
    • Handle: RePEc:ris:jrdpin:0026
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    References listed on IDEAS

    as
    1. Alvaro Gallardo & Cristian Mardones, 2013. "Environmentally extended social accounting matrix for Chile," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 15(4), pages 1099-1127, August.
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    Cited by:

    1. Xinxiong Wu & Chen Chen Yong & Su Teng Lee, 2022. "Addressing the COVID-19 Shock: The Potential Job Creation in China by the RCEP," IJERPH, MDPI, vol. 19(23), pages 1-15, November.
    2. Meena Subedi & Ali Farazmand, 2020. "Economic Value Added (EVA) for Performance Evaluation of Public Organizations," Public Organization Review, Springer, vol. 20(4), pages 613-630, December.
    3. María T. Álvarez-Martínez & Alfredo J. Mainar-Causapé, 2021. "The GHG Emissions Generating Capacity by Productive Sectors in the EU: A SAM Analysis," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    4. Ayla Alkan & Ayla Oğuş Binatlı & Çağaçan Değer, 2018. "Achieving Turkey’s INDC Target: Assessments of NCCAP and INDC Documents and Proposing Conceivable Policies," Sustainability, MDPI, vol. 10(6), pages 1-27, May.

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    More about this item

    Keywords

    Input-Ouput; SAM; Environment and growth; GHG; Government Policy;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • E16 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Social Accounting Matrix
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy

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