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Industrial green spatial pattern evolution of Yangtze River Economic Belt in China

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Abstract

We use the directional slacks-based measure of efficiency and inverse distance weighting method to analyze the spatial pattern evolution of the industrial green total factor productivity of 108 cities in the Yangtze River Economic Belt in 2003–2013. Results show that both the subprime mortgage crisis and ‘the new normal’ had significant negative effects on productivity growth, leading to the different spatial patterns between 2003–2008 and 2009–2013. Before 2008, green poles had gathered around some capital cities and formed a tripartite pattern, which was a typical core-periphery pattern. Due to a combination of the polarization and the diffusion effects, capital cities became the growth poles and ‘core’ regions, while surrounding areas became the ‘periphery’. This was mainly caused by the innate advantage of capital cities and ‘the rise of central China’ strategy. After 2008, the tripartite pattern changed to a multi-poles pattern where green poles continuously and densely spread in the midstream and downstream areas. This is due to the regional difference in the leading effect of green poles. The leading effect of green poles in midstream and downstream areas has changed from polarization to diffusion, while the polarization effect still leads in the upstream area.

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References

  • Baldwin R, Forslid R, Martin P et al., 2003. Economic Geography and Public Policy. Princeton: Princeton University Press.

    Google Scholar 

  • Chambers R G, Chung Y, Färe R, 1996. Benefit and distance functions. Journal of Economic Theory, 70(2): 407–419. doi: 10.1006/jeth.1996.0096

    Article  Google Scholar 

  • Chen K H, Huang Y J, Yang C H, 2009. Analysis of regional productivity growth in China: a generalized metafrontier MPI approach, China Economic Review, 20(4): 777–792. doi: 10.1016/j.chieco.2009.05.003

    Article  Google Scholar 

  • Chen K, Wang H, Zheng Y, 1988. Productivity change in Chinese Industry: 1953–1985. Journal of Comparative Economics, 12(4): 570–591. doi: 10.1016/0147–5967(88)90104–7

    Article  Google Scholar 

  • Chen S, Golley J, 2014. ‘Green’ productivity growth in China’s industrial economy. Energy Economics, (44): 89–98. doi: 10.1016/j.eneco.2014.04.002

    Article  Google Scholar 

  • Chen S, Jefferson G H, Zhang J, 2011. Structural change, productivity growth and industrial transformation in China. China Economic Review, 22: 133–150. doi: 10.1016/j.chieco. 2010.10.003

    Article  Google Scholar 

  • Chen Shiyi, 2009. Energy consumption, CO2 emission and sustainable development in Chinese industry. Economic Research Journal, (4): 41–55. (in Chinese)

    Google Scholar 

  • Chen Shiyi, 2010. Green industrial revolution in China: a perspective from the change of environmental total factor productivity. Economic Research Journal, (11): 21–34. (in Chinese)

    Google Scholar 

  • Chow G C, 2008. Another look at the rate of increase in TFP in China. Journal of Chinese Economic and Business Studies, 6(2): 219–224. doi: 10.1080/14765280802028344

    Article  Google Scholar 

  • Chung Y, Färe R, Grosskopf S, 1997. Productivity and undesirable outputs: a directional distance function approach. Journal of Environment Management, 51(3): 229–240. doi: 0301–4797/97/110229

    Article  Google Scholar 

  • Du J, Chen Y, Huang Y, 2017. A modified malmquist-luenberger productivity index: assessing environmental productivity performance in China. European Journal of Operational Research, (1): 1–43. doi: 10.1016/j.ejor.2017.01.006

    Article  Google Scholar 

  • Färe R, Grosskopf S, 2010. Directional distance functions and slacks-based measures of efficiency. European Journal of Operation Research, 200(1): 320–322. doi: 10.1016/j.ejor. 2009.01.031

    Article  Google Scholar 

  • Färe R, Grosskopf S, Norris M et al., 1994. Productivity growth, technical progress, and efficiency change in industrialized countries. The American Economic Review, 84(1): 66–83.

    Google Scholar 

  • Fukuyama H, Weber W L, 2009. A directional slacks-based measure of technical inefficiency. Socio-Economic Planning Science, 43(4): 274–287. doi: 10.1016/j.seps.2008.12.001

    Article  Google Scholar 

  • Getics A, Ord J K, 1992. The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3): 189–206. doi: 10.1111/j.1538–4632.1992.tb00261.x

    Article  Google Scholar 

  • Higgins B, Savoie D J, 1988. Regional Economic Development. Boston: Unwin Hyman.

    Google Scholar 

  • Huang Qunhui, 2014. ‘The new normal’, the late stage of industrialization and the new power of industrial growth. China Industrial Economics, (10): 5–19. (in Chinese)

    Google Scholar 

  • Jefferson G H, Rawski T G, Wang L et al., 2000. Ownership, productivity change, and financial performance in Chinese industry. Journal of Comparative Economics, 28(4):786–813. doi: 10.1006/jcec.2000.1684

    Article  Google Scholar 

  • Kuklinski A, Petrella R, 1972. Growth Poles and Regional Policies. Berlin: Walter de Gruyter.

    Google Scholar 

  • Li Bin, Peng Xing, Ouyang Mingke, 2013. Environmental regulation, green total factor productivity and the transformation of China’s industrial development mode: analysis based on data of China’s 36 industries. China Industrial Economics, (4): 56–68. (in Chinese)

    Google Scholar 

  • Li K W, 2009. China’s total factor productivity estimates by region, investment sources and ownership. Economic Systems, 33(3): 213–230. doi: 10.1016/j.ecosys.2009.06.003

    Article  Google Scholar 

  • Li Qingxiang, Peng Jiadong, Shen Yan, 2012. Development of homogenized monthly precipitation dataset in China during 1900–2009. Acta Geographical Sinica, 67(3): 301–311. (in Chinese)

    Google Scholar 

  • Lu Jun, Song Jitao, Liang Yusheng et al., 2013. The simulation of spatial distribution patterns of China’s HSR-economic zones based on the 2D time-space map. Acta Geographical Sinica, 68(2): 147–158. (in Chinese)

    Google Scholar 

  • Marthin N, Quazi I F A, Souza C D, 2007. Environmentally adjusted productivity measurement: an Australian case study. Journal of Environmental Management, 85(2): 350–362. doi: 10.1016/j.jenvman.2006.10.004

    Article  Google Scholar 

  • Neary J P, 2001. Of hype and hyperbolas: introducing the new economic geography. Journal of Economic Literature, 39(2): 536–561. doi: 10.1257/jel.39.2.536

    Article  Google Scholar 

  • Overman H G, Ioannides Y M, 2001. Cross-sectional evolution of the US city size distribution. Journal of Urban Economics, 49: 543–566. doi: 10.1006/juec.2000.2204

    Article  Google Scholar 

  • Perroux F, 1950. Economic space: theory and applications. Quarterly Journal of Economics, 64(1): 89–104. doi: 10.2307/1881960

    Article  Google Scholar 

  • Szirmai A, Wang L, 2008. Productivity growth and structural change in Chinese manufacturing,1980–2002. Industrial and Corporate Change, 17(4): 841–874. doi: 10.1093/icc/dtn020

    Article  Google Scholar 

  • Tabuchi T, 1998. Urban agglomeration and dispersion: a synthesis of Alonso and Krugman. Journal of Urban Economics, 44: 333–351. doi: 10.1006/juec.1997.2074

    Article  Google Scholar 

  • Tomczak M, 1998. Spatial interpolation and its uncertainty using automated anisotropic inverse distance weighing (IDW): cross-validation/jackknife approach. Journal of Geographic Information and Decision Analysis, 2(2): 18–30.

    Google Scholar 

  • Tone K, 2001. A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operation Research, 130(3): 498–509. doi: 10.1016/S0377–2217(99)00407–5

    Article  Google Scholar 

  • Wang Keliang, Meng Xiangrui, Yang Baochen et al., 2015. The industrial eco-efficiency of the Yangtze river economic zone based on environmental pressure. Resources Science, 37(7): 1491–1501. (in Chinese)

    Google Scholar 

  • Watanabe M, Tanaka K, 2007. Efficiency analysis of Chinese industry: a directional distance function approach. Energy Policy, (35): 6323–6331. doi: 10.1016/j.enpol.2007.07.013

    Article  Google Scholar 

  • Watson D F, Philip G M, 1985. A refinement of inverse distance weighted interpolation. Geo-processing, 2(2): 315–327.

    Google Scholar 

  • Wu Chuanqing, Dong Xu, 2014. Analysis of industrial total productivity in the Yangtze river economic belt. Wuhan University Journal, 67(4): 31–36. (in Chinese)

    Google Scholar 

  • Young A, 2003. Gold into base metals: productivity growth in the People’s Republic of China during the reform period. Journal of Political Economy, 111(6): 1220–1261. doi: 0022–3808/2003/11106–0008

    Article  Google Scholar 

  • Zhang C, Liu H, Bressers H T et al., 2011. Productivity growth and environmental regulations-accounting for undesirable outputs: analysis of China’s thirty provincial regions using the Malmquist–Luenberger index. Ecological Economics, (70): 2369–2379. doi: 10.1016/j.ecolecon.2011.07.019

    Article  Google Scholar 

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  1. School of Economics and Trade, Hunan University, Changsha, 410079, China

    Lin Li & Ying Liu

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  1. Lin Li
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  2. Ying Liu
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Correspondence to Ying Liu.

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Foundation item: Under the auspices of the post-funded project of National Social Science Foundation of China (No. 16FJL009)

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Li, L., Liu, Y. Industrial green spatial pattern evolution of Yangtze River Economic Belt in China. Chin. Geogr. Sci. 27, 660–672 (2017). https://doi.org/10.1007/s11769-017-0893-7

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