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Spatio-temporal Evolution and Factors Influencing the Control Efficiency for Soil and Water Loss in the Wei River Catchment, China

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  • Yifei Wang

    (College of Economics and Management, Research Center of Resource Economics and Environment Management, Northwest A&F University, No. 3 Taicheng Road, Yangling 712100, China)

  • Tingting Zhang

    (School of Economics & Management, University of Science and Technology Beijing, 30 Xueyuan Road, Beijing 100083, China)

  • Shunbo Yao

    (College of Economics and Management, Research Center of Resource Economics and Environment Management, Northwest A&F University, No. 3 Taicheng Road, Yangling 712100, China)

  • Yuanjie Deng

    (College of Economics and Management, Research Center of Resource Economics and Environment Management, Northwest A&F University, No. 3 Taicheng Road, Yangling 712100, China)

Abstract

With regard to important scientific and policy issues in the Wei River Catchment, much emphasis has been put on the objective assessment of the effectiveness of ecological restoration measures and the analysis of effective ways to promote the efficiency of ecological management. Based on an interdisciplinary approach, the present study investigates the measurement of the control efficiency for soil and water loss induced by the Sloping Land Conversion Program and terrace fields, a part of the Water and Soil Conservation Project, in an attempt to detect and quantify indicators of different fields to do so. The applied methods included a Bootstrap Data Envelopment Analysis model which covers 39 counties over the period of 2000–2015. Then, an exploratory spatial data analysis was conducted to capture the spatial characteristics for the control efficiency of each county. Finally, the geographically weighted regression model was employed to identify the spatial heterogeneity and evolutionary characteristics in the relationship between control efficiency and natural conditions and socioeconomic development in each sample county. Results show that the control efficiency increased from 0.263 to 0.365 during the study period. In addition, the Moran’I indicates that efficiency presented a stable spatial agglomeration but still at a low level, from 0.192 to 0.151. The difference in control efficiency is the result of a combination of multiple factors, of which the most relevant factors often vary among different counties, indicating that regional governments should consider full-scale initiatives. This analytical perspective helps to provide experience and reference for countries facing the same environmental challenges in the world.

Suggested Citation

  • Yifei Wang & Tingting Zhang & Shunbo Yao & Yuanjie Deng, 2019. "Spatio-temporal Evolution and Factors Influencing the Control Efficiency for Soil and Water Loss in the Wei River Catchment, China," Sustainability, MDPI, vol. 11(1), pages 1-24, January.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:1:p:216-:d:194796
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    1. Kristin Nicolaus & Jens Jetzkowitz, 2014. "How Does Paying for Ecosystem Services Contribute to Sustainable Development? Evidence from Case Study Research in Germany and the UK," Sustainability, MDPI, vol. 6(5), pages 1-24, May.
    2. Pablo C. Benítez & Timo Kuosmanen & Roland Olschewski & G. Cornelis van Kooten, 2006. "Conservation Payments under Risk: A Stochastic Dominance Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 1-15.
    3. Liu, Ping & Yin, Runsheng & Zhao, Minjuan, 2019. "Reformulating China's ecological restoration policies: What can be learned from comparing Chinese and American experiences?," Forest Policy and Economics, Elsevier, vol. 98(C), pages 54-61.
    4. Soushi Suzuki & Peter Nijkamp & Piet Rietveld, 2011. "Regional efficiency improvement by means of data envelopment analysis through Euclidean distance minimization including fixed input factors: An application to tourist regions in Italy," Papers in Regional Science, Wiley Blackwell, vol. 90(1), pages 67-89, March.
    5. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    6. Léopold Simar & Paul Wilson, 1999. "Of Course We Can Bootstrap DEA Scores! But Does It Mean Anything? Logic Trumps Wishful Thinking," Journal of Productivity Analysis, Springer, vol. 11(1), pages 93-97, February.
    7. Douglas L. Young & Paul L. Kanjo & David J. Walker, 1991. "Cost Effectiveness and Equity Aspects of Soil Conservation Programs in a Highly Erodible Region," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1053-1062.
    8. Zhang, Daojun & Jia, Qiqi & Xu, Xin & Yao, Shunbo & Chen, Haibin & Hou, Xianhui, 2018. "Contribution of ecological policies to vegetation restoration: A case study from Wuqi County in Shaanxi Province, China," Land Use Policy, Elsevier, vol. 73(C), pages 400-411.
    9. Joseph C. Cooper & C. Tim Osborn, 1998. "The Effect of Rental Rates on the Extension of Conservation Reserve Program Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 184-194.
    10. Claassen, Roger & Cattaneo, Andrea & Johansson, Robert, 2008. "Cost-effective design of agri-environmental payment programs: U.S. experience in theory and practice," Ecological Economics, Elsevier, vol. 65(4), pages 737-752, May.
    11. Ryohei Nakamura, 2012. "Contributions of local agglomeration to productivity: Stochastic frontier estimations from Japanese manufacturing firm data," Papers in Regional Science, Wiley Blackwell, vol. 91(3), pages 569-597, August.
    12. Hawdon, David, 2003. "Efficiency, performance and regulation of the international gas industry--a bootstrap DEA approach," Energy Policy, Elsevier, vol. 31(11), pages 1167-1178, September.
    13. Cerdà, A. & Rodrigo-Comino, J. & Giménez-Morera, A. & Novara, A. & Pulido, M. & Kapović-Solomun, M. & Keesstra, S.D., 2018. "Policies can help to apply successful strategies to control soil and water losses. The case of chipped pruned branches (CPB) in Mediterranean citrus plantations," Land Use Policy, Elsevier, vol. 75(C), pages 734-745.
    14. Yin, Runsheng & Zhao, Minjuan, 2012. "Ecological restoration programs and payments for ecosystem services as integrated biophysical and socioeconomic processes—China's experience as an example," Ecological Economics, Elsevier, vol. 73(C), pages 56-65.
    15. Song, Ma-Lin & Zhang, Lin-Ling & Liu, Wei & Fisher, Ron, 2013. "Bootstrap-DEA analysis of BRICS’ energy efficiency based on small sample data," Applied Energy, Elsevier, vol. 112(C), pages 1049-1055.
    16. Charnes, Abraham & Cooper, William W. & Li, Shanling, 1989. "Using data envelopment analysis to evaluate efficiency in the economic performance of Chinese cities," Socio-Economic Planning Sciences, Elsevier, vol. 23(6), pages 325-344.
    17. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    18. Wunder, Sven & Engel, Stefanie & Pagiola, Stefano, 2008. "Taking stock: A comparative analysis of payments for environmental services programs in developed and developing countries," Ecological Economics, Elsevier, vol. 65(4), pages 834-852, May.
    19. Clifford M. Hurvich & Jeffrey S. Simonoff & Chih‐Ling Tsai, 1998. "Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(2), pages 271-293.
    20. Uchida, Emi & Xu, Jintao & Xu, Zhigang & Rozelle, Scott, 2007. "Are the poor benefiting from China's land conservation program?," Environment and Development Economics, Cambridge University Press, vol. 12(4), pages 593-620, August.
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