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Ecoefficiency of Intensive Agricultural Production and Its Influencing Factors in China: An Application of DEA-Tobit Analysis

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  • Heyuan You
  • Xiaoling Zhang

Abstract

The excessive use of inputs per unit of agricultural land poses a great threat to ecological sustainability. Using an input-oriented data envelopment analysis (DEA) model, this study analyzes ecoefficiency of intensive agricultural production in 31 provinces in China. The results show that the total efficiency of only six provinces can be considered fully efficient and that scale efficiencies are generally lower than technical efficiencies. Then, the spatial distribution of ecoefficiency is analyzed. The findings demonstrate that the provinces whose ecoefficiencies are maximal are primarily located in western China. The technical efficiencies in the western region are better than those in the eastern and middle regions. Imperfect scale efficiencies are distributed across all three regions. Furthermore, using the Tobit model, an analysis of the factors that influence ecoefficiency shows that the variables of farmland area per capita (FA), income per capita (IC), population per household (PH), and population burden coefficient (PB) have statistically significant impacts on total efficiency. The distinct effects of the variables on total efficiency are caused by their differential effects on technical efficiency and scale efficiency. Finally, suitable policies designed to improve ecoefficiency are proposed according to the local circumstances of each of the three regions.

Suggested Citation

  • Heyuan You & Xiaoling Zhang, 2016. "Ecoefficiency of Intensive Agricultural Production and Its Influencing Factors in China: An Application of DEA-Tobit Analysis," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-14, March.
    • Handle: RePEc:hin:jnddns:4786090
    DOI: 10.1155/2016/4786090
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    Cited by:

    1. Jan Polcyn, 2021. "Eco-Efficiency and Human Capital Efficiency: Example of Small- and Medium-Sized Family Farms in Selected European Countries," Sustainability, MDPI, vol. 13(12), pages 1-15, June.
    2. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    3. Jahira Debbarma & Hyoungsuk Lee & Yongrok Choi, 2021. "Sustainable Feasibility of the Environmental-Friendly Policies on Agriculture and Its Related Sectors in India," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
    4. Javier García-Gudiño & Elena Angón & Isabel Blanco-Penedo & Florence Garcia-Launay & José Perea, 2022. "Targeting Environmental and Technical Parameters through Eco-Efficiency Criteria for Iberian Pig Farms in the dehesa Ecosystem," Agriculture, MDPI, vol. 13(1), pages 1-15, December.
    5. ANANG, Benjamin Tetteh, 2022. "Two-Stage Dea Estimation Of Technical Efficiency: Comparison Of Different Estimators," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 25(1), March.
    6. Zhongfang Zhang & Lijun Hou & Yuhao Qian & Xing Wan, 2022. "Effect of Zero Growth of Fertilizer Action on Ecological Efficiency of Grain Production in China under the Background of Carbon Emission Reduction," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    7. You, Heyuan & Hu, Xiaowei & Wu, Yizhou, 2018. "Farmland use intensity changes in response to rural transition in Zhejiang province, China," Land Use Policy, Elsevier, vol. 79(C), pages 350-361.

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