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Spatial-temporal characteristics and influencing factors of agricultural eco-efficiency in China in recent 40 years

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  • Liu, Yansui
  • Zou, Lilin
  • Wang, Yongsheng

Abstract

Chinese agricultural output has been multiple under the intensive input of production factors since the reform and opening-up. Such a growth pattern that realizes high output through high input results in increasingly prominent environmental pollution problems. Considering the provincial panel data in China during 1978–2017 as the research units and taking agriculture in broad sense as the study object, the agricultural eco-efficiency (AEE) was measured by the Super-SBM Model, and the influencing factors were screened out from agricultural basic condition, agricultural industrial structure, agricultural development potential and agricultural input strength. The findings indicated that agricultural expected output and unexpected output were synchronously increased, while the change of input factors was totally different and gradually transferred to materiality from resources. In 1978–2017, AEE was increased to 0.713 from 0.405, with an increase of about 76%. And it approximately underwent four stages, including free development, reform promotion, market regulation and policy incentives. Under the resource restraint and policy incentives, AEE showed that Northeast, East and South China were higher than the national average level. North and Central China basically fitted for the national average level, and Southwest and Northwest China were lower than the national average level. Also, it was successively present in some spatial characteristics including polarization, differentiation, agglomeration and reconstruction on the provincial scale. The magnitude and direction of influencing factors indicated that the introduction of subsidy policies for compound fertilizers, an increase of farmers’ incomes, optimization of agricultural plantation structure, and maintenance of stable agricultural product prices could effectively improve AEE.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:lauspo:v:97:y:2020:i:c:s0264837719320800
    DOI: 10.1016/j.landusepol.2020.104794
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    1. Vlontzos, George & Niavis, Spyros & Manos, Basil, 2014. "A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 91-96.
    2. Jin Yang & Hui Wang & Songqing Jin & Kevin Chen & Jeffrey Riedinger & Chao Peng, 2016. "Migration, local off-farm employment, and agricultural production efficiency: evidence from China," Journal of Productivity Analysis, Springer, vol. 45(3), pages 247-259, June.
    3. Christian Nsiah & Bichaka Fayissa, 2019. "Trends in Agricultural Production Efficiency and their Implications for Food Security in Sub‐Saharan African Countries," African Development Review, African Development Bank, vol. 31(1), pages 28-42, March.
    4. 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.
    5. Ray, Subhash C. & Ghose, Arpita, 2014. "Production efficiency in Indian agriculture: An assessment of the post green revolution years," Omega, Elsevier, vol. 44(C), pages 58-69.
    6. Liu, Ruimin & Zhang, Peipei & Wang, Xiujuan & Chen, Yaxin & Shen, Zhenyao, 2013. "Assessment of effects of best management practices on agricultural non-point source pollution in Xiangxi River watershed," Agricultural Water Management, Elsevier, vol. 117(C), pages 9-18.
    7. Alene, Arega D. & Zeller, Manfred, 2005. "Technology adoption and farmer efficiency in multiple crops production in eastern Ethiopia: A comparison of parametric and non-parametric distance functions," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 6(1).
    8. Ma, Shuzhong & Feng, Han, 2013. "Will the decline of efficiency in China's agriculture come to an end? An analysis based on opening and convergence," China Economic Review, Elsevier, vol. 27(C), pages 179-190.
    9. Bidisha, Sayema Haque & Hossain, Md. Amzad & Alam, Rubaiyat & Hasan, Md. Mehedi, 2018. "Credit, tenancy choice and agricultural efficiency: Evidence from the northern region of Bangladesh," Economic Analysis and Policy, Elsevier, vol. 57(C), pages 22-32.
    10. Deng, Xiangzheng & Gibson, John, 2019. "Improving eco-efficiency for the sustainable agricultural production: A case study in Shandong, China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 394-400.
    11. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    12. 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.
    13. Gregory C. Chow, 1993. "Capital Formation and Economic Growth in China," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 809-842.
    14. Sun, J. & Li, Y.P. & Suo, C. & Liu, Y.R., 2019. "Impacts of irrigation efficiency on agricultural water-land nexus system management under multiple uncertainties—A case study in Amu Darya River basin, Central Asia," Agricultural Water Management, Elsevier, vol. 216(C), pages 76-88.
    15. Li, Nan & Jiang, Yuqing & Mu, Hailin & Yu, Zhixin, 2018. "Efficiency evaluation and improvement potential for the Chinese agricultural sector at the provincial level based on data envelopment analysis (DEA)," Energy, Elsevier, vol. 164(C), pages 1145-1160.
    16. Magdalena Rybaczewska-Błażejowska & Wacław Gierulski, 2018. "Eco-Efficiency Evaluation of Agricultural Production in the EU-28," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    17. 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.
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