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The Distributional Impacts of Climate Change on Indian Agriculture: A Quantile Regression Approach

Author

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  • Chandra Kiran B. Krishnamurthy

    (Post-Doctoral Research Scholar, Centre for Environmental and Resource Economics & Deapartment of Economics Umea School of Business and Economics Umea University, Swedent)

Abstract

As health is a state subject and merit good, the state Governments in India spend increased amounts on it. However, the health outcomes vary across the states. This study measures the efficiency of Indian states in raising health outcomes, using the stochastic frontier methodology for panel data for the period 2000-2009. The average efficiency is estimated at 72.7 per cent, implying that there is a scope for improving health performances, without additional resources. In 7 out of 17 states, the efficiency is below the average efficiency. These states can improve their performance significantly by following the best practices. The results also indicate that the states can improve their health performance by increasing their expenditure on health, providing more medical doctors/specialists, educating people and create health awareness.

Suggested Citation

  • Chandra Kiran B. Krishnamurthy, 2012. "The Distributional Impacts of Climate Change on Indian Agriculture: A Quantile Regression Approach," Working Papers 2012-069, Madras School of Economics,Chennai,India.
    • Handle: RePEc:mad:wpaper:2012-069
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    File URL: http://www.mse.ac.in/wp-content/uploads/2016/09/Working-Paper-69.pdf
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    Citations

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    Cited by:

    1. Anubhab Pattanayak & K. S. Kavi Kumar, 2014. "Weather Sensitivity Of Rice Yield: Evidence From India," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 5(04), pages 1-24.
    2. Joseph Cooper & A. Nam Tran & Steven Wallander, 2017. "Testing for Specification Bias with a Flexible Fourier Transform Model for Crop Yields," American Journal of Agricultural Economics, John Wiley & Sons, vol. 99(3), pages 800-817, April.
    3. Shreekant Gupta & Partha Sen & Suchita Srinivasan, 2014. "Impact Of Climate Change On The Indian Economy: Evidence From Food Grain Yields," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 1-29.
    4. Gupta, Shreekant & Sen, Partha & Verma, Saumya, 2016. "Impact of Climate Change on Foodgrain Yields in India," CEI Working Paper Series 2015-9, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    5. Raju Guntukula & Phanindra Goyari, 2020. "Climate Change Effects on the Crop Yield and Its Variability in Telangana, India," Studies in Microeconomics, , vol. 8(1), pages 119-148, June.
    6. Raju Mandal & Hiranya Nath, 2017. "Climate Change and indian Agriculture: Impacts on Crop Yield," Working Papers 1705, Sam Houston State University, Department of Economics and International Business.
    7. Subhadra Banda, 2013. "The Case of Slum Rehabilitation in Delhi," Working Papers id:5522, eSocialSciences.
    8. Nath, Hiranya K. & Mandal, Raju, 2018. "Heterogeneous Climatic Impacts on Agricultural Production: Evidence from Rice Yield in Assam, India," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 15(1), June.

    More about this item

    Keywords

    Public health expenditure; Indian States; Stochastic frontier; panel data;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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