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Farm and non-farm labor decisions and household efficiency

Author

Listed:
  • Dimitris Christopoulos

    (Athens University of Economics and Business)

  • Margarita Genius

    (University of Crete)

  • Vangelis Tzouvelekas

    (University of Crete)

Abstract

This paper develops a theoretical framework for modeling farm households’ joint production and consumption decisions in the presence of technical inefficiency. Following Lopez (1984), a household model where farmers display different preferences between on-farm and off-farm labor is adopted while their production activity can be subject to technical inefficiency. The presence of technical inefficiency does not only lead to the inability of farmers to achieve maximal output but it will also affect the consumption allocation and the household’s labor supply decisions through its effect on both income and on the shadow price of on-farm labor, leading to overall household inefficiency. An application to a panel dataset of 296 farms in the UK illustrates the basic concepts introduced in the theoretical model. The results show that households in our sample are technically inefficient but their efficiency scores are very close. However there is a big dispersion in the household efficiency scores and some households can adapt better their consumption and labor supply decisions when production is technically inefficient.

Suggested Citation

  • Dimitris Christopoulos & Margarita Genius & Vangelis Tzouvelekas, 2021. "Farm and non-farm labor decisions and household efficiency," Journal of Productivity Analysis, Springer, vol. 56(1), pages 15-31, August.
  • Handle: RePEc:kap:jproda:v:56:y:2021:i:1:d:10.1007_s11123-021-00602-3
    DOI: 10.1007/s11123-021-00602-3
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    1. Diana Fletschner, 2008. "Women's Access to Credit: Does It Matter for Household Efficiency?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 669-683.
    2. Nigel Key & Elisabeth Sadoulet & Alain De Janvry, 2000. "Transactions Costs and Agricultural Household Supply Response," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(2), pages 245-259.
    3. Jean-Paul Chavas & Ragan Petrie & Michael Roth, 2005. "Farm Household Production Efficiency: Evidence from The Gambia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 160-179.
    4. Hung‐Hao Chang & Fang‐I Wen, 2011. "Off‐farm work, technical efficiency, and rice production risk in Taiwan," Agricultural Economics, International Association of Agricultural Economists, vol. 42(2), pages 269-278, March.
    5. Tadashi Sonoda, 2008. "A System Comparison Approach to Distinguish Two Nonseparable and Nonnested Agricultural Household Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 509-523.
    6. Benjamin, Dwayne, 1992. "Household Composition, Labor Markets, and Labor Demand: Testing for Separation in Agricultural Household Models," Econometrica, Econometric Society, vol. 60(2), pages 287-322, March.
    7. Stefania Lovo, 2011. "Pension Transfers and farm household technical efficiency: Evidence from South Africa," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(5), pages 1391-1405.
    8. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    9. de Janvry, Alain & Fafchamps, Marcel & Sadoulet, Elisabeth, 1991. "Peasant Household Behaviour with Missing Markets: Some Paradoxes Explained," Economic Journal, Royal Economic Society, vol. 101(409), pages 1400-1417, November.
    10. Hanan G. Jacoby, 1993. "Shadow Wages and Peasant Family Labour Supply: An Econometric Application to the Peruvian Sierra," Review of Economic Studies, Oxford University Press, vol. 60(4), pages 903-921.
    11. E. Phimister & D. Roberts, 2006. "The Effect of Off-farm Work on the Intensity of Agricultural Production," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(4), pages 493-515, August.
    12. Gudbrand Lien & Subal C. Kumbhakar & J. Brian Hardaker, 2010. "Determinants of off‐farm work and its effects on farm performance: the case of Norwegian grain farmers," Agricultural Economics, International Association of Agricultural Economists, vol. 41(6), pages 577-586, November.
    13. Robert G. Chambers & Giannis Karagiannis & Vangelis Tzouvelekas, 2010. "Another Look at Pesticide Productivity and Pest Damage," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1401-1419.
    14. de Janvry, Alain & Fafchamps, M. & Sadoulet, Elisabeth, 1991. "Peasant Household Behavior with Missing Markets: Some Paradoxes Explain," CUDARE Working Papers 198579, University of California, Berkeley, Department of Agricultural and Resource Economics.
    15. Kien T. Le, 2010. "Separation Hypothesis Tests in the Agricultural Household Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1420-1431.
    16. E.T. Seyoum & G.E. Battese & E.M. Fleming, 1998. "Technical efficiency and productivity of maize producers in eastern Ethiopia: a study of farmers within and outside the Sasakawa‐Global 2000 project," Agricultural Economics, International Association of Agricultural Economists, vol. 19(3), pages 341-348, December.
    17. Sonoda, Tadashi, 2008. "AJAE Appendix: A System Comparison Approach to Distinguish Two Non-Separable and Non-Nested Agricultural Household Models," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 90(2), pages 1-4.
    18. J. Taylor & Irma Adelman, 2003. "Agricultural Household Models: Genesis, Evolution, and Extensions," Review of Economics of the Household, Springer, vol. 1(1), pages 33-58, January.
    19. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    20. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    21. Subal C. Kumbhakar, 2001. "Estimation of Profit Functions When Profit Is Not Maximum," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 1-19.
    22. Lopez, Ramon E., 1984. "Estimating labor supply and production decisions of self-employed farm producers," European Economic Review, Elsevier, vol. 24(1), pages 61-82.
    23. 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.
    24. Seyoum, E. T. & Battese, G. E. & Fleming, E. M., 1998. "Technical efficiency and productivity of maize producers in eastern Ethiopia: a study of farmers within and outside the Sasakawa-Global 2000 project," Agricultural Economics, Blackwell, vol. 19(3), pages 341-348, December.
    25. 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.
    26. Dale W. Jorgenson & Lawrence J. Lau, 1975. "The Structure of Consumer Preferences," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 4, number 1, pages 49-101, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Non-separable agricultural household model; Household and farm efficiency; Cereal farms; UK;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

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