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Urban land use efficiency and improvement potential in China: A stochastic frontier analysis

Author

Listed:
  • Liu, Shuchang
  • Xiao, Wu
  • Li, Linlin
  • Ye, Yanmei
  • Song, Xiaoli

Abstract

With economic growth facing increasing constraints of resource and environment, intensive land use becomes one of the effective ways to promote urban sustainable development. This paper aims to reveal the spatial and temporal differences in urban land use efficiency (ULUE) in provincial China, and examine the impact of undesirable output (e.g., industrial pollutant emissions) on ULUE using a one-stage stochastic frontier analysis (SFA). Furthermore, we analyze the improvement potential of ULUE. Results show that 1) ULUE in China is relatively low, and it shows a trend of slow growth at an annual growth rate of 0.34 %. 2) Undesirable output causes a loss of ULUE. The loss ratio in the western region is the highest (9.61 %), followed by the central region (8.41 %) and the eastern region (3.93 %). Estimation results of the technical inefficiency function also show that pollution intensity has a negative effect on ULUE. 3) ULUE varies significantly across the country. The mean efficiency values in the eastern, central, and western regions are 0.733, 0.535, and 0.507, respectively. ULUE levels in different provinces present a greater gap when undesirable output is considered. 4) The improvement potential analysis indicates a mismatch between the ULUE and the improvement potential. Areas with low efficiency does not necessarily have relatively high improvement potential (e.g., Ningxia and Xinjiang), or areas with relatively high efficiency may also have high improvement potential (e.g., Fujian and Shandong). Based on the difference in ULUE level and its improvement potential, targeted policy suggestions for ULUE improvement are further proposed.

Suggested Citation

  • Liu, Shuchang & Xiao, Wu & Li, Linlin & Ye, Yanmei & Song, Xiaoli, 2020. "Urban land use efficiency and improvement potential in China: A stochastic frontier analysis," Land Use Policy, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:lauspo:v:99:y:2020:i:c:s0264837720300703
    DOI: 10.1016/j.landusepol.2020.105046
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    References listed on IDEAS

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    1. Gianni Guastella & Stefano Pareglio & Paolo Sckokai, 2017. "A Spatial Econometric Analysis of Land Use Efficiency in Large and Small Municipalities," Working Papers 2017.03, Fondazione Eni Enrico Mattei.
    2. Gabriel, Steven A. & Faria, Jose A. & Moglen, Glenn E., 2006. "A multiobjective optimization approach to smart growth in land development," Socio-Economic Planning Sciences, Elsevier, vol. 40(3), pages 212-248, September.
    3. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    4. 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.
    5. See, Kok Fong & Coelli, Tim, 2012. "An analysis of factors that influence the technical efficiency of Malaysian thermal power plants," Energy Economics, Elsevier, vol. 34(3), pages 677-685.
    6. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    7. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    8. Watanabe, Michio & Tanaka, Katsuya, 2007. "Efficiency analysis of Chinese industry: A directional distance function approach," Energy Policy, Elsevier, vol. 35(12), pages 6323-6331, December.
    9. Huy, Hoang Trieu & Nguyen, Trung Thanh, 2019. "Cropland rental market and farm technical efficiency in rural Vietnam," Land Use Policy, Elsevier, vol. 81(C), pages 408-423.
    10. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    11. 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.
    12. Ji, Xi & Yao, Yixin & Long, Xianling, 2018. "What causes PM2.5 pollution? Cross-economy empirical analysis from socioeconomic perspective," Energy Policy, Elsevier, vol. 119(C), pages 458-472.
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