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An Evaluation of Chinese Rapeseed Production Efficiency Based on Three-Stage DEA and Malmquist Index

Author

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  • Qing Li

    (School of management, Dalian Polytechnic University, Dalian 116034, China)

  • Cong Wang

    (School of management, Dalian Polytechnic University, Dalian 116034, China)

Abstract

As a widely grown oil crop in China, rapeseed accounts for 38.6% of China’s total oil crop production. In order to ensure the sustainable and healthy development of the rapeseed industry, this essay uses the input-output panel data of 15 central rapeseed-producing provinces (cities) in China from 2011 to 2019. The reasons for the change of the index were further studied using three-stage data envelopment analysis (DEA) and the Malmquist method. The three-stage DEA results show that the scale efficiency of rapeseed production increases in other provinces, except in Qinghai Province and Gansu Province, and that scale efficiency can be improved through additional investment. Planting enterprises can improve their efficiency by improving the efficiency of scientific and technological progress. On the other hand, government expenditure has a positive impact on rapeseed production efficiency. The Malmquist index shows that the technical progress efficiency index has the most significant impact during this period and the rapeseed total factor productivity can be improved by improving technological progress efficiency. In addition, according to the measured results, corresponding suggestions are put forward.

Suggested Citation

  • Qing Li & Cong Wang, 2022. "An Evaluation of Chinese Rapeseed Production Efficiency Based on Three-Stage DEA and Malmquist Index," Sustainability, MDPI, vol. 14(23), pages 1-15, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15822-:d:986692
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    References listed on IDEAS

    as
    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    3. 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.
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    Cited by:

    1. Parkhomets, Mykola & Uniiat, Liudmyla & Chornyi, Roman & Chorna, Nelia & Hradovyi, Vasyl, 2023. "Efficiency of production and processing of rapeseed for biodiesel in Ukraine," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(2), June.

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