IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/122613.html
   My bibliography  Save this paper

Decomposition of climate-induced productivity growth in Indian agriculture

Author

Listed:
  • Mohapatra, Souryabrata
  • Sharp, Basil
  • Sahoo, Auro Kumar
  • Sahoo, Dukhabandhu

Abstract

This paper adopts a stochastic frontier approach to investigate the trend and determinants of total factor produc- tivity (TFP) growth in the agriculture sector of India, using extensive district-level data. The assessment of the production frontier highlights the efficiency aspect of Indian agriculture and contributes to an analysis of those factors that might be directly engaged in the production process. After controlling for the district-specific climatic effect in the production of eighteen major crops, TFP growth is deconstructed into technical progress, technical efficiency change and scale effects. Four weather parameters, average temperature, rainfall, evapotranspiration and windspeed, are defined as exogenous determinants of the technical inefficiency term to analyze the influence of changing climate. Based on the true fixed effect model and maximum likelihood method, the estimated TFP growth averaged 0.688% per year between 1990 and 2015. The relative performance of Indian states appar- ently differs according to estimated productivity scores. The findings show that changes in technical efficiency account for most TFP growth, whereas differences in scale components account for annual and cross-state pro- ductivity growth disparities. The study suggests that region-specific policies are required to enhance agricultural productivity and add to the understanding of the arguments over TFP growth in Indian agriculture.

Suggested Citation

  • Mohapatra, Souryabrata & Sharp, Basil & Sahoo, Auro Kumar & Sahoo, Dukhabandhu, 2022. "Decomposition of climate-induced productivity growth in Indian agriculture," MPRA Paper 122613, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:122613
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/122613/1/MPRA_paper_122613.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ray, Subhash C & Desli, Evangelia, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment," American Economic Review, American Economic Association, vol. 87(5), pages 1033-1039, December.
    2. Emerick, Kyle, 2018. "Agricultural productivity and the sectoral reallocation of labor in rural India," Journal of Development Economics, Elsevier, vol. 135(C), pages 488-503.
    3. Domazlicky, Bruce R. & Weber, William, L., 1998. "Determinants of Total Factor Productivity, Technological Change, and Efficiency Differentials Among States, 1977-86," The Review of Regional Studies, Southern Regional Science Association, vol. 28(2), pages 19-34, Fall.
    4. Mythili, G. & Shanmugam, K.R., 2000. "Technical Efficiency of Rice Growers in Tamil Nadu: A Study Based on Panel Data," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 55(1), March.
    5. 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.
    6. Kakarlapudi, Kiran Kumar, 2012. "Agricultural Growth Deceleration In India: An Enquiry Into Possible Explanations," Journal of Regional Development and Planning, Rajarshi Majumder, vol. 1(1), pages 25-40.
    7. Murgai, Rinku, 2001. "The Green Revolution and the productivity paradox: evidence from the Indian Punjab," Agricultural Economics, Blackwell, vol. 25(2-3), pages 199-209, September.
    8. Martin Henseler & Ingmar Schumacher, 2019. "The impact of weather on economic growth and its production factors," Climatic Change, Springer, vol. 154(3), pages 417-433, June.
    9. Bhende, M.J. & Kalirajan, K.P., 2007. "Technical Efficiency of Major Food and Cash Crops in Karnataka (India)," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 62(2), pages 1-17.
    10. Jain, Rajni & Chand, Ramesh & Singh, Amarjeet, 2017. "Total Factor Productivity Growth in Indian Crop Sector," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 72(4), December.
    11. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107609464, January.
    12. Gong, Binlei, 2020. "Agricultural productivity convergence in China," China Economic Review, Elsevier, vol. 60(C).
    13. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    14. Kalirajan, K.P. & Shand, R.T., 1997. "Sources of Output Growth in Indian Agriculture," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 52(4), December.
    15. Rada, Nicholas E. & Schimmelpfennig, David E., 2015. "Propellers of Agricultural Productivity in India," Economic Research Report 262202, United States Department of Agriculture, Economic Research Service.
    16. Subal Kumbhakar & M. Denny & M. Fuss, 2000. "Estimation and decomposition of productivity change when production is not efficient: a paneldata approach," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 312-320.
    17. Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
    18. Sahoo, Auro Kumar & Sahu, Naresh Chandra & Sahoo, Dukhabandhu, 2018. "Impact of policy reforms on the productivity growth of Indian coal mining: A decomposition analysis," Resources Policy, Elsevier, vol. 59(C), pages 460-467.
    19. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    20. Sangho Kim & Gwangho Han, 2001. "A Decomposition of Total Factor Productivity Growth in Korean Manufacturing Industries: A Stochastic Frontier Approach," Journal of Productivity Analysis, Springer, vol. 16(3), pages 269-281, November.
    21. Surender Kumar & Madhu Khanna, 2019. "Temperature and production efficiency growth: empirical evidence," Climatic Change, Springer, vol. 156(1), pages 209-229, September.
    22. Varun Kumar Das, 2016. "Agricultural productivity growth in India: An analysis accounting for different land types," Journal of Developing Areas, Tennessee State University, College of Business, vol. 50(2), pages 349-366, April-Jun.
    23. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    24. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    25. Amarnath Tripathi, 2010. "Total Factor Productivity Growth in Indian Agriculture," Journal of Global Economy, Research Centre for Social Sciences,Mumbai, India, vol. 6(4), pages 286-298, August.
    26. Ariel Ortiz-Bobea & Toby R. Ault & Carlos M. Carrillo & Robert G. Chambers & David B. Lobell, 2021. "Anthropogenic climate change has slowed global agricultural productivity growth," Nature Climate Change, Nature, vol. 11(4), pages 306-312, April.
    27. Renuka Mahadevan, 2003. "To Measure or Not To Measure Total Factor Productivity Growth?," Oxford Development Studies, Taylor & Francis Journals, vol. 31(3), pages 365-378.
    28. Ariel Ortiz-Bobea & Toby R. Ault & Carlos M. Carrillo & Robert G. Chambers & David B. Lobell, 2020. "The Historical Impact of Anthropogenic Climate Change on Global Agricultural Productivity," Papers 2007.10415, arXiv.org, revised Apr 2021.
    29. Fateh M. Mari & Heman D. Lohano, 2007. "Measuring Production Function and Technical Efficiency of Onion, Tomato, and Chillies Farms in Sindh, Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 46(4), pages 1053-1064.
    30. Praduman kumar & Anjani kumar & Surabhi Mittal, 2004. "Total Factor Productivity of Crop Sector in the Indo-Gangetic Plain of India: Sustainability issues revisited," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 39(1), pages 169-201, January.
    31. K. Kalirajan, 1981. "The Economic Efficiency of Farmers Growing High-Yielding, Irrigated Rice in India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(3), pages 566-570.
    32. Sharma, Subhash C. & Sylwester, Kevin & Margono, Heru, 2007. "Decomposition of total factor productivity growth in U.S. states," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(2), pages 215-241, May.
    33. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    34. Mark W. Rosegrant & Robert E. Evenson, 1993. "Agricultural Productivity Growth in Pakistan and India: A Comparative Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 32(4), pages 433-451.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rawat, Pankaj S. & Sharma, Seema, 2021. "TFP growth, technical efficiency and catch-up dynamics: Evidence from Indian manufacturing," Economic Modelling, Elsevier, vol. 103(C).
    2. Pontus Mattsson & Jonas Mansson & William H. Greene, 2018. "TFP Change and its Components for Swedish Manufacturing Firms During the 2008-2009 Financial Crisis," Working Papers 18-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    3. Radha R. Ashrit, 2023. "Estimation of technical efficiency of Indian farms for major crops during 2013–2014 and 2017–2018: a stochastic Frontier production approach," SN Business & Economics, Springer, vol. 3(2), pages 1-32, February.
    4. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    5. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    6. Huynh, Linh & Hoang, Hien, 2021. "Technical Efficiency and Total Factor Productivity Changes in Manufacturing Industries: Recent Advancements in Stochastic Frontier Model Approach," MPRA Paper 117621, University Library of Munich, Germany, revised 2022.
    7. Pontus Mattsson & Jonas Månsson & William H. Greene, 2020. "TFP change and its components for Swedish manufacturing firms during the 2008–2009 financial crisis," Journal of Productivity Analysis, Springer, vol. 53(1), pages 79-93, February.
    8. Goyal, S.K. & Suhag, K.S. & Pandey, U.K., 2006. "An Estimation of Technical Efficiency of Paddy Farmers in Haryana State of India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 61(1), pages 1-15.
    9. MAIMOUNA DIAKITE & Jean-François BRUN, 2016. "Tax Potential and Tax Effort: An Empirical Estimation for Non-Resource Tax Revenue and VAT’s Revenue," EcoMod2016 9537, EcoMod.
    10. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    11. Russ Kashian & Nicholas Lovett & Yuhan Xue, 2020. "Has the affordable care act affected health care efficiency?," Journal of Regulatory Economics, Springer, vol. 58(2), pages 193-233, December.
    12. Marvin A. Titus & Adriana Vamosiu & Shannon Hayes Buenaflor & Casey Maliszewski Lukszo, 2021. "Persistent Cost Efficiency at Public Community Colleges in the US: A Stochastic Frontier Analysis," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(8), pages 1168-1197, December.
    13. Julio Peña & Julio Aguirre & René Cerca D'amico, 2004. "Pesca demersal en Chile: eficiencia técnica y escalas de operación," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 19(1), pages 119-160, June.
    14. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    15. Martini, Gianmaria & Scotti, Davide & Viola, Domenico & Vittadini, Giorgio, 2020. "Persistent and temporary inefficiency in airport cost function: An application to Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 999-1019.
    16. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
    17. Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
    18. Hakan Güneş & Dilem Yıldırım, 2016. "Estimating Cost Efficiency of Turkish Commercial Banks under Unobserved Heterogeneity with Stochastic Frontier Models," ERC Working Papers 1603, ERC - Economic Research Center, Middle East Technical University, revised Mar 2016.
    19. Liu, Rui & Lopez Barrera, Emiliano, 2024. "Socioeconomic Drivers of Food Waste Over Time: A Comparative Evaluation of Panel Stochastic Frontier Models for Indirect Quantification in Chinese Households," 2024 Annual Meeting, July 28-30, New Orleans, LA 343852, Agricultural and Applied Economics Association.
    20. Ceyhun Elgin & Selman Çakır, 2015. "Technological progress and scientific indicators: a panel data analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(3), pages 263-281, April.

    More about this item

    Keywords

    Stochastic frontier analysis; Total factor productivity decomposition; True fixed effect model; Agricultural productivity growth; India;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:122613. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.