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Modeling technological bias and factor input behavior in China's wheat production sector

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Listed:
  • Zhu, Shu
  • Xu, Xin
  • Ren, Xiaojing
  • Sun, Tianhua
  • Oxley, Les
  • Rae, Allan
  • Ma, Hengyun

Abstract

Over the past three decades, China has implemented reforms in the agricultural sector in an attempt to increase efficiency and food security. However, China now faces a number of environmental degradation problems, in part, caused by her past agricultural reforms. In this paper we estimate, using a provincial-based panel dataset, a third-order translog cost function for China's grain production sector over the period 1990–2011. Results from the estimation, including estimated elasticities of demand for and substitution of factors, suggest that labor and capital are substitutes. This arises because the increasing cost of labor, induced by urbanization and the growth of the manufacturing sector, has lead to a substitution of machinery for labor in the production of wheat. The results are consistent with current government policies to encourage via subsidies and agricultural mechanization, which we show to be technically, a substitute for labor. We further conclude this will create an additional bonus of reducing the amount of fertilizer that is needed to efficiently and securely produce wheat in China, as the new capital is more efficient at fertilizer distribution.

Suggested Citation

  • Zhu, Shu & Xu, Xin & Ren, Xiaojing & Sun, Tianhua & Oxley, Les & Rae, Allan & Ma, Hengyun, 2016. "Modeling technological bias and factor input behavior in China's wheat production sector," Economic Modelling, Elsevier, vol. 53(C), pages 245-253.
    • Handle: RePEc:eee:ecmode:v:53:y:2016:i:c:p:245-253
    DOI: 10.1016/j.econmod.2015.11.027
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    as
    1. Binswanger, Hans P, 1974. "The Measurement of Technical Change Biases with Many Factors of Production," American Economic Review, American Economic Association, vol. 64(6), pages 964-976, December.
    2. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    3. Ma, Hengyun & Oxley, Les & Gibson, John & Kim, Bonggeun, 2008. "China's energy economy: Technical change, factor demand and interfactor/interfuel substitution," Energy Economics, Elsevier, vol. 30(5), pages 2167-2183, September.
    4. Welsch, Heinz & Ochsen, Carsten, 2005. "The determinants of aggregate energy use in West Germany: factor substitution, technological change, and trade," Energy Economics, Elsevier, vol. 27(1), pages 93-111, January.
    5. Allan N. Rae & Hengyun Ma & Jikun Huang & Scott Rozelle, 2006. "Livestock in China: Commodity-Specific Total Factor Productivity Decomposition Using New Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 680-695.
    6. Allen, Chris & Urga, Giovanni, 1999. "Interrelated Factor Demands from Dynamic Cost Functions: An Application to the Non-energy Business Sector of the UK Economy," Economica, London School of Economics and Political Science, vol. 66(263), pages 403-413, August.
    7. Rae, Allan N. & Ma, H. & Huang, J. & Rozelle, Scott, 2006. "AJAE Appendix: Livestock in China: Commodity-specific Total Factor Productivity Decomposition Using New Panel Data," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 88(3), pages 1-64, August.
    8. Shenggen Fan, 2000. "Technological change, technical and allocative efficiency in Chinese agriculture: the case of rice production in Jiangsu," Journal of International Development, John Wiley & Sons, Ltd., vol. 12(1), pages 1-12.
    9. Berndt, Ernst R & Wood, David O, 1979. "Engineering and Econometric Interpretations of Energy-Capital Complementarity," American Economic Review, American Economic Association, vol. 69(3), pages 342-354, June.
    10. Weiming Tian & Guang Wan, 2000. "Technical Efficiency and Its Determinants in China's Grain Production," Journal of Productivity Analysis, Springer, vol. 13(2), pages 159-174, March.
    11. Subhash C. Ray, 1982. "A Translog Cost Function Analysis of U.S. Agriculture, 1939–77," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(3), pages 490-498.
    12. Li, Kui-Wai & Liu, Tung, 2011. "Economic and productivity growth decomposition: An application to post-reform China," Economic Modelling, Elsevier, vol. 28(1), pages 366-373.
    13. Chen, Zhuo & Huffman, Wallace E. & Rozelle, Scott, 2009. "Farm technology and technical efficiency: Evidence from four regions in China," China Economic Review, Elsevier, vol. 20(2), pages 153-161, June.
    14. Berndt, Ernst R & Wood, David O, 1975. "Technology, Prices, and the Derived Demand for Energy," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 259-268, August.
    15. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    16. Woodland, A D, 1975. "Substitution of Structures, Equipment and Labor in Canadian Production," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 16(1), pages 171-187, February.
    17. Songqing Jin & Hengyun Ma & Jikun Huang & Ruifa Hu & Scott Rozelle, 2010. "Productivity, efficiency and technical change: measuring the performance of China’s transforming agriculture," Journal of Productivity Analysis, Springer, vol. 33(3), pages 191-207, June.
    18. Hirofumi Uzawa, 1962. "Production Functions with Constant Elasticities of Substitution," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 29(4), pages 291-299.
    19. Qu, Futian & Kuyvenhoven, Arie & Shi, Xiaoping & Heerink, Nico, 2011. "Sustainable natural resource use in rural China: Recent trends and policies," China Economic Review, Elsevier, vol. 22(4), pages 444-460.
    20. Carter, Colin A. & Chen, Jing & Chu, Baojin, 2003. "Agricultural productivity growth in China: farm level versus aggregate measurement," China Economic Review, Elsevier, vol. 14(1), pages 53-71.
    21. Theo Stratopoulos & Evangelos Charos & Kelly Chaston, 2000. "A translog estimation of the average cost function of the steel industry with financial accounting data," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 6(2), pages 271-286, May.
    22. Hengyun Ma & Jikun Huang & Les Oxley, 2013. "Capital Formation and Agricultural Growth in China," Asian Economic Papers, MIT Press, vol. 12(1), pages 166-190, Winter/Sp.
    23. Atkinson, Scott E. & Halvorsen, Robert, 1998. "Parametric tests for static and dynamic equilibrium," Journal of Econometrics, Elsevier, vol. 85(1), pages 33-50, July.
    24. Barros, Carlos P. & Chen, Zhongfei & Liang, Qi Bin & Peypoch, Nicolas, 2011. "Technical efficiency in the Chinese banking sector," Economic Modelling, Elsevier, vol. 28(5), pages 2083-2089, September.
    25. Stevenson, Rodney, 1980. "Measuring Technological Bias," American Economic Review, American Economic Association, vol. 70(1), pages 162-173, March.
    26. Lindert, Peter H, 1999. "The Bad Earth? China's Soils and Agricultural Development since the 1930s," Economic Development and Cultural Change, University of Chicago Press, vol. 47(4), pages 701-736, July.
    27. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    Cited by:

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    2. Liu, Yansui & Zou, Lilin & Wang, Yongsheng, 2020. "Spatial-temporal characteristics and influencing factors of agricultural eco-efficiency in China in recent 40 years," Land Use Policy, Elsevier, vol. 97(C).
    3. Shuai Zhang & Xiaoman Zhao & Changwei Yuan & Xiu Wang, 2020. "Technological Bias and Its Influencing Factors in Sustainable Development of China’s Transportation," Sustainability, MDPI, vol. 12(14), pages 1-26, July.
    4. Chen Cao & Xueyun Chen, 2021. "Can Industrial Integration Improve the Sustainability of Grain Security?," Sustainability, MDPI, vol. 13(24), pages 1-17, December.
    5. Ma, Wanglin & Zheng, Hongyun, 2021. "Impacts of Smartphone Use on Agrochemical Use Among Wheat Farmers in China: A Heterogeneous Analysis," 2021 Conference, August 17-31, 2021, Virtual 314991, International Association of Agricultural Economists.
    6. Wanglin Ma & Hongyun Zheng, 2022. "Heterogeneous impacts of information technology adoption on pesticide and fertiliser expenditures: Evidence from wheat farmers in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(1), pages 72-92, January.
    7. Chen, You-hua & Chen, Mei-xia & Mishra, Ashok K., 2020. "Subsidies under uncertainty: Modeling of input- and output-oriented policies," Economic Modelling, Elsevier, vol. 85(C), pages 39-56.

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    More about this item

    Keywords

    China; Grain production; Technological and factor biases; Demand and substitution; Agricultural mechanization;
    All these keywords.

    JEL classification:

    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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