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Measurement and Spatial Correlations of Green Total Factor Productivities of Chinese Provinces

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  • Huaping Zhang

    (School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Yue Dong

    (School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

Abstract

The measurement of green total factor productivity (GTFP) helps to improve environmental evaluation and to supervise environmental protection. This article establishes a system of assessment indicators (AIS) for GTFP and computes the GTFPs of 30 provinces of China from 2000–2019, using the evidence-based measure (EBM) model. Then, the spatial correlation between provincial GTFPs was analyzed and the convergence between them was discussed with spatial panel data. The main results are as follows: China faces a regional difference in GTFP. In general, GTFP descends stepwise from east to west. The 30 Chinese provinces vary significantly in GTFP. The high GTFP provinces are concentrated in the east, and the low GTFP ones mainly exist in the west. According to Global Moran’s I, an indicator of spatial correlation, China’s GTFPs bear prominent features of spatial clustering. The spatial clustering of China’s GTFPs has a significant impact on GTFP convergence. If this spatial effect is considered in traditional convergence models, the GTFP convergence rate can be measured more correctly. The provincial GTFPs show a significant absolute beta convergence, the rate of which reached 0.943% in the research period. Among the various impactors of GTFP, industrial structure and technical innovation significantly enhance GTFP convergence; opening-up and urbanization level significantly suppress GTFP convergence; environmental governance does not significantly affect GTFP convergence. Unlike the previous studies, this paper includes the spatial effect in traditional convergence models to obtain spatial convergence models. The GTFP convergence measured by our spatial convergence models was slower than that measured by the traditional model, suggesting that the spatial effect plays a significant role in GTFP convergence. In addition, this paper proves that the GTFP gap between Chinese provinces has narrowed gradually. This absolute convergence trend of GTFPs provides the key basis for the catch-up effect of the green economy. To improve the convergence of China’s provincial GTFPs, it is important to fully consider the varied effects of factors such as industrial structure, technical innovation, opening-up, urbanization, and environmental governance, and to formulate green development policies according to local conditions.

Suggested Citation

  • Huaping Zhang & Yue Dong, 2022. "Measurement and Spatial Correlations of Green Total Factor Productivities of Chinese Provinces," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5071-:d:800221
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    References listed on IDEAS

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    1. Liu, Zuankuo & Xin, Li, 2019. "Has China's Belt and Road Initiative promoted its green total factor productivity？——Evidence from primary provinces along the route," Energy Policy, Elsevier, vol. 129(C), pages 360-369.
    2. Zhang, Chunhong & Liu, Haiying & Bressers, Hans Th.A. & Buchanan, Karen S., 2011. "Productivity growth and environmental regulations - accounting for undesirable outputs: Analysis of China's thirty provincial regions using the Malmquist–Luenberger index," Ecological Economics, Elsevier, vol. 70(12), pages 2369-2379.
    3. Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    4. Chaofan Chen & Qingxin Lan & Ming Gao & Yawen Sun, 2018. "Green Total Factor Productivity Growth and Its Determinants in China’s Industrial Economy," Sustainability, MDPI, vol. 10(4), pages 1-25, April.
    5. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    6. Li, Ke & Lin, Boqiang, 2017. "Economic growth model, structural transformation, and green productivity in China," Applied Energy, Elsevier, vol. 187(C), pages 489-500.
    7. Zhijuan Zhang & Marcin Lis, 2020. "Modeling Green Energy Development Based on Sustainable Economic Growth in China," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    8. Johan Brolund & Robert Lundmark, 2017. "Effect of Environmental Regulation Stringency on the Pulp and Paper Industry," Sustainability, MDPI, vol. 9(12), pages 1-16, December.
    9. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    10. Zhu, Xuehong & Chen, Ying & Feng, Chao, 2018. "Green total factor productivity of China's mining and quarrying industry: A global data envelopment analysis," Resources Policy, Elsevier, vol. 57(C), pages 1-9.
    11. Song, Malin & Du, Juntao & Tan, Kim Hua, 2018. "Impact of fiscal decentralization on green total factor productivity," International Journal of Production Economics, Elsevier, vol. 205(C), pages 359-367.
    12. Miller, Stephen M. & Upadhyay, Mukti P., 2002. "Total factor productivity and the convergence hypothesis," Journal of Macroeconomics, Elsevier, vol. 24(2), pages 267-286, June.
    13. Shenggen Fan & Xiaobo Zhang & Sherman Robinson, 2003. "Structural Change and Economic Growth in China," Review of Development Economics, Wiley Blackwell, vol. 7(3), pages 360-377, August.
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