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Performance Evaluation of Industrial Land Policy in China

Author

Listed:
  • Xinqi Zheng

    (School of Information Engineering, China University of Geosciences in Beijing, No. 29, Xueyuan Road, Haidian District, Beijing 100083, China)

  • Bing Geng

    (School of Land Science and Technology, China University of Geosciences in Beijing, No.29, Xueyuan Road, Haidian District, Beijing 100083, China)

  • Xiang Wu

    (Department of Management, Kaifeng Vocational College of Culture and Arts, the Middle of Dongjing Avenue, Kaifeng 475000, China)

  • Lina Lv

    (School of Land Science and Technology, China University of Geosciences in Beijing, No.29, Xueyuan Road, Haidian District, Beijing 100083, China)

  • Yecui Hu

    (School of Land Science and Technology, China University of Geosciences in Beijing, No.29, Xueyuan Road, Haidian District, Beijing 100083, China)

Abstract

Rapid industrialization, as one of the main driving forces promoting sustainable economic growth, has increased the area of industrial land use significantly. Industrial land use manifests that the competition between it and other kinds of land use is growing. During the last decade in China, many targeted industrial land use policies have been enacted to stimulate appropriate industrial land use and to promote healthy economic development. However, it is difficult for scholars and governments of rapidly developing countries to judge and evaluate the performance of such policies. Based on statistical data gathered over almost 10 years and an idea called “industrial land equivalent” (ILE), this paper analyzes the contribution made by the implementation of industrial land use policy to economic development, using a Cobb-Douglas production function by which to quantify the influence of land institutions and land regulation systems. The result of the study shows that factors, such as industrial land, labor and capital, all play an important role in GDP growth. Additionally, it is found that industrial land institutions and regulation systems have a strongly positive influence on economic development. It was also found that the influence of policy in eastern China is greater than that in the west and that repeated, short-term land regulation has a negative effect on the economy. Therefore, it is profoundly important for the Chinese economy that a stable and durable industrial land use policy be maintained as the industrial center migrates to the Midwest. The research philosophy and method offered by this paper have great significance for the quantitative evaluation of policy performance.

Suggested Citation

  • Xinqi Zheng & Bing Geng & Xiang Wu & Lina Lv & Yecui Hu, 2014. "Performance Evaluation of Industrial Land Policy in China," Sustainability, MDPI, vol. 6(8), pages 1-16, July.
    • Handle: RePEc:gam:jsusta:v:6:y:2014:i:8:p:4823-4838:d:38687
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    References listed on IDEAS

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    1. Dorfman, Jeffrey H. & Hill, Elizabeth & Kramer, Elizabeth, 2007. "Evaluating the Impact of Government Land Use Policies on Tree Canopy Coverage," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9863, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Chen, Chung-Chiang, 2011. "An analytical framework for energy policy evaluation," Renewable Energy, Elsevier, vol. 36(10), pages 2694-2702.
    3. Prato, Tony, 2008. "Stochastic multiple attribute evaluation of land use policies," Ecological Modelling, Elsevier, vol. 219(1), pages 115-124.
    4. Brouwer, Roy & van Ek, Remco, 2004. "Integrated ecological, economic and social impact assessment of alternative flood control policies in the Netherlands," Ecological Economics, Elsevier, vol. 50(1-2), pages 1-21, September.
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    Cited by:

    1. Xiaofeng Zhao & Lin Zhang & Xianjin Huang & Yuntai Zhao & Yunpeng Zhang, 2018. "Evolution of the Spatiotemporal Pattern of Urban Industrial Land Use Efficiency in China," Sustainability, MDPI, vol. 10(7), pages 1-12, June.
    2. Jinlong Gao & Yehua Dennis Wei & Wen Chen & Komali Yenneti, 2015. "Urban Land Expansion and Structural Change in the Yangtze River Delta, China," Sustainability, MDPI, vol. 7(8), pages 1-27, July.
    3. Congguo Zhang & Di Yao & Yanlin Zhen & Weiwei Li & Kerun Li, 2022. "Mismatched Relationship between Urban Industrial Land Consumption and Growth of Manufacturing: Evidence from the Yangtze River Delta," Land, MDPI, vol. 11(9), pages 1-35, August.
    4. Japheth Abdulazeez Yaya, 2018. "The Essentiality of Motivation on Librarians Productivity in Nigerian Public Universities," Asian Journal of Contemporary Education, Asian Economic and Social Society, vol. 2(1), pages 19-35, March.
    5. Cheng, Jing, 2022. "Analysis of the factors influencing industrial land leasing in Beijing of China based on the district-level data," Land Use Policy, Elsevier, vol. 122(C).
    6. Bingqing Li & Zhanqi Wang & Feng Xu, 2022. "Does Optimization of Industrial Structure Improve Green Efficiency of Industrial Land Use in China?," IJERPH, MDPI, vol. 19(15), pages 1-18, July.
    7. Wei Chen & Rui He & Qun Wu, 2017. "A Novel Efficiency Measure Model for Industrial Land Use Based on Subvector Data Envelope Analysis and Spatial Analysis Method," Complexity, Hindawi, vol. 2017, pages 1-11, December.

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