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Dynamic Evolution of the Operating Efficiency of Development Zones in China

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  • Shuang Gao

    (Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China)

  • Jingwen Zhang

    (School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China)

  • Xiaoqing Mo

    (School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China)

  • Rong Wu

    (School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China)

Abstract

The efficient development of Economic and Technological Development Zones (ETDZs) across China has been key to the country’s economic transformation. Despite this, few studies have addressed the dynamic characteristics of the efficiency of ETDZs. Taking China’s 115 national ETDZs established before 2010 as the research sample, this study measures the comprehensive operating efficiency of ETDZs and identifies dynamic characteristics of that efficiency throughout the period 2011–2017, using a three-stage data envelopment analysis (DEA) model and the Markov method. This research also explores the relationship between the operation efficiency of ETDZs and urban economic development. The results indicate that the operating efficiency of national ETDZs was generally low, and subject to a downward trend over the study period; the efficiency of ETDZs in the western region was found to be higher than that in the central and eastern areas. It was found that operating efficiency was stable in terms of the types of transfer witnessed, and the results emphasize the difficulty of achieving leapfrog development in a relatively short time. In addition, medium-high coupling coordination was detected in the relationship between urban social and economic development and the operating efficiency of ETDZs. When the operating efficiency of the ETDZ was high, this coupling coordination improved significantly. Finally, most of China’s ETDZs remain in a factor-driven stage in their development, with their expansion occurring at the expense of efficiency. Based on these results, this paper suggests that the government should pay greater attention to the overall efficiency and growth quality in the sustainable development of the country’s ETDZs.

Suggested Citation

  • Shuang Gao & Jingwen Zhang & Xiaoqing Mo & Rong Wu, 2021. "Dynamic Evolution of the Operating Efficiency of Development Zones in China," Sustainability, MDPI, vol. 13(18), pages 1-13, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10395-:d:637912
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    References listed on IDEAS

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    1. 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.
    2. Zeng,Zhihua, 2015. "Global experiences with special economic zones : focus on China and Africa," Policy Research Working Paper Series 7240, The World Bank.
    3. Annette Schminke & Johannes Van Biesebroeck, 2013. "Using export market performance to evaluate regional preferential policies in China," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 149(2), pages 343-367, June.
    4. Wang, Jin, 2013. "The economic impact of Special Economic Zones: Evidence from Chinese municipalities," Journal of Development Economics, Elsevier, vol. 101(C), pages 133-147.
    5. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    6. Sun, Yifan & Ma, Anbing & Su, Haorui & Su, Shiliang & Chen, Fei & Wang, Wen & Weng, Min, 2020. "Does the establishment of development zones really improve industrial land use efficiency? Implications for China’s high-quality development policy," Land Use Policy, Elsevier, vol. 90(C).
    7. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    8. Julie Le Gallo, 2004. "Space-Time Analysis of GDP Disparities among European Regions: A Markov Chains Approach," International Regional Science Review, , vol. 27(2), pages 138-163, April.
    9. 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.
    10. Deming Luo & Yanjun Liu & Yiyun Wu & Xiwei Zhu & Xiangrong Jin, 2015. "Does development zone have spillover effect in China?," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 20(3), pages 489-516, July.
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    Cited by:

    1. Kaimeng Li & Shuang Gao & Yuantao Liao & Ke Luo & Shaojian Wang, 2022. "The Impact of Development Zones on China’s Urbanization from the Perspectives of the Population, Land, and the Economy," Land, MDPI, vol. 11(10), pages 1-16, October.

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