Environmental regulation and industrial structure change in China: integrating spatial and social network analysis

Sustainability (Switzerland)

Volumn 9, Issue 8, 2017, Pages

  Chong, Zhaohui ^a   Qin, Chenglin ^a   Ye, Xinyue ^b  

^a JINAN UNIVERSITY   (China)

^b KENT STATE UNIVERSITY   (United States)

Author keywords

Environmental regulation; Industrial structure change; Social media; Spatial and Social network analysis

Indexed keywords

ECONOMIC ACTIVITY; INDUSTRIAL STRUCTURE; NETWORK ANALYSIS; PANEL DATA; SOCIAL MEDIA; SOCIAL NETWORK; SPATIAL ANALYSIS; SPILLOVER EFFECT;

CHINA; GUANGDONG; YANGTZE RIVER; ZHUJIANG DELTA;

EID: 85027701176     PISSN: None     EISSN: 20711050     Source Type: Journal    
DOI: 10.3390/su9081465     Document Type: Article

References (52)

1. Burton, D.M.; Gomez, I.A.; Love, H.A. Environmental regulation cost and industry structure Land Econ. 2011, 3, 545–557. [CrossRef]
2. Chong, Z.; Qin, C.; Ye, X. Environmental regulation, economic network and sustainable growth of urban agglomerations in China. Sustainability 2016, 8, 467. [CrossRef]
3. Levinson, A. Environmental regulations and manufacturers' location choices: Evidence from the Census of Manufactures. J. Public Econ. 1996, 1, 5–29. [CrossRef]
4. Li, X.; Ikeda, S. An economic–environmental input–output model and its application to regional economic–environmental impact analysis. Environ. Plan. B 2001, 28, 581–594. [CrossRef]
5. Wu, Z.; Tang, J.; Wang, D. Low carbon urban transitioning in Shenzhen: A multi-level environmental governance perspective. Sustainability 2016, 8, 720. [CrossRef]
6. Bushnell, J.B.; Mansur, E.T. Vertical targeting and leakage in carbon policy. Am. Econ. Rev. 2011, 3, 263–267. [CrossRef]
7. He, C.; Huang, Z.; Ye, X. Spatial heterogeneity of economic development and industrial pollution in urban China. Stoch. Environ. Res. Risk A 2014, 28, 767–781. [CrossRef]
8. Ryan, S.P. The costs of environmental regulation in a concentrated industry. Econometrica 2012, 3, 1019–1061.
9. Zhu, J.; Ruth, M. Relocation or reallocation: Impacts of differentiated energy saving regulation on manufacturing industries in china. Ecol. Econ. 2015, 110, 119–133. [CrossRef]
10. Batten, D.F. Network cities: Creative urban agglomerations for the 21st century. Urban Stud. 1995, 32, 313–327. [CrossRef]
11. De Goei, B.; Burger, M.J.; van Oort, F.G.; Kitson, M. Functional polycentrism and urban network development in the Greater South East, United Kingdom: Evidence from commuting patterns, 1981–2001. Reg. Stud. 2010, 44, 1149–1170. [CrossRef]
12. Eagle, N.; Macy, M.; Claxton, R. Network diversity and economic development. Science 2010, 328, 1029–1031. [CrossRef] [PubMed]
13. Batty, M.; Cheshire, J. Cities as flows. Environ. Plan. B 2011, 38, 195–196. [CrossRef]
14. Cole, M.A.; Elliott, R.J.; Shimamoto, K. Why the grass is not always greener: The competing effects of environmental regulations and factor intensities on US specialization. Ecol. Econ. 2005, 1, 95–109. [CrossRef]
15. Huggins, R.; Thompson, P. A Network-based view of regional growth. J. Econ. Geogr. 2014, 14, 511–545. [CrossRef]
16. Kay, S.; Zhao, B.; Sui, D. Can social media clear the air? A case study of the air pollution problem in Chinese cities. Prof. Geogr. 2015, 67, 351–363. [CrossRef]
17. Li, Q.; Wei, W.; Xiong, N.; Feng, D.; Ye, X.; Jiang, Y. Social media research, human behavior, and sustainable society. Sustainability 2017, 9, 242. [CrossRef]
18. Goodchild, M.F. GIS in the Era of Big Data. 2016. Available online: https://cybergeo.revues.org/27647 (accessed on 20 April 2017).
19. Ye, X.; Huang, Q.; Li, W. Integrating big social data, computing, and modeling for spatial social science. Cartogr. Geogr. Inf. Sci. 2016. [CrossRef]
20. Watkins, B.A. Experimenting with dialogue on twitter: An examination of the influence of the dialogic principles on engagement, interaction, and attitude. Public Relat. Rev. 2016, 43, 163–171. [CrossRef]
21. Batty, M. Smart cities, big data. Environ. Plan. B 2012, 39, 191. [CrossRef]
22. Gao, S.; Liu, Y.; Wang, Y.; Ma, X. Discovering spatial interaction communities from mobile phone data. T GIS 2013, 17, 463–481. [CrossRef]
23. Batty, M. Big data, smart cities and city planning. Dialog. Hum. Geogr. 2013, 3, 274–279. [CrossRef]
24. Ruths, D.; Pfeffer, J. Social media for large studies of behavior. Science 2014, 346, 1063–1064. [CrossRef] [PubMed]
25. Shaw, S.; Tsou, M.; Ye, X. Human dynamics in the mobile and Big Data Era. Int. J. Geogr. Inf. Sci. 2016, 30, 1687–1693. [CrossRef]
26. Pijanowski, B.C.; Tayyebi, A.; Doucette, J.; Pekin, B.K.; Braun, D.; Plourde, J. A big data urban growth simulation at a national scale: Configuring the GIS and neural network based land transformation model to run in a high performance computing (HPC) environment. Environ. Model. Softw. 2014, 51, 250–268. [CrossRef]
27. Artige, L. Will big data deliver its promised productivity growth? In Proceedings of the IAES Conference, Lisbon, Portugal, 16–19 March 2016.
28. Jarmin, R.S.; O'Hara, A.B. Big data and the transformation of public policy analysis. J. Policy Anal. Manag. 2016, 35, 715–721. [CrossRef]
29. Wang, Z.; Ye, X.; Tsou, M. Spatial, temporal, and content analysis of Twitter for wildfire hazards. Nat. Hazards 2016, 83, 523–540. [CrossRef]
30. Dong, L.; Chen, S.; Cheng, Y.; Wu, Z.; Li, C.; Wu, H. Measuring Economic Activities of China with Mobile Big Data. arXiv 2016, arXiv:1607.04451.
31. Wei, Y.; Ye, X. Urbanization, Urban Land Expansion and Environmental Change in China. Stoch. Environ. Res. Risk A 2014, 28, 757–765. [CrossRef]
32. Cheng, J.; Dai, S.; Ye, X. Spatiotemporal heterogeneity of industrial pollution in China. China Econ. Rev. 2016, 40, 179–191. [CrossRef]
33. 2) Emissions. Spat. Stat. 2016, in press. [CrossRef]
34. Li, S.; Ye, X.; Lee, J.; Gong, J.; Qin, C. Spatiotemporal analysis of housing prices in China: A big data perspective. Appl. Spat. Anal. Policy 2017, 10, 421–433. [CrossRef]
35. Wu, C.; Ye, X.; Ren, F.; Wan, Y.; Ning, P.; Du, Q. Spatial and social media data analytics of housing prices in Shenzhen, China. PLoS ONE 2016, 11, e0164553. [CrossRef] [PubMed]
36. Ye, X.; He, C. The new data landscape for regional and urban analysis. GeoJournal 2016, 81, 1–5. [CrossRef]
37. Liu, Y.; Sui, Z.; Kang, C.; Gao, Y. Uncovering patterns of inter-urban trip and spatial interaction from social media check-in data. PLoS ONE 2014, 9, e86026. [CrossRef] [PubMed]
38. Taylor, P.J. Leading world cities: Empirical evaluations of urban nodes in multiple networks. Urban Stud. 2005, 42, 1593–1608. [CrossRef]
39. Jin, K. Industrial structure and capital flows. Am. Econ. Rev. 2012, 102, 2111–2146. [CrossRef]
40. Rubashkina, Y.; Galeotti, M.; Verdolini, E. Environmental regulation and competitiveness: Empirical evidence on the Porter Hypothesis from European manufacturing sectors. Energy Policy 2015, 83, 288–300. [CrossRef]
41. Organisation for Economic Co-operation and Development (OECD). Pollution Control and Abatement Expenditure in OECD Countries. In Environment Monograph; OECD/GD(96)50; OECD: Paris, France, 1996.
42. Kheder, S.B.; Zugravu, N. Environmental regulation and French firms location abroad: An economic geography model in an international comparative study. Ecol. Econ. 2012, 77, 48–61. [CrossRef]
43. Panzar, J.C. Technological determinants of firm and industry structure. Handb. Ind. Organ. 1989, 1, 3–59.
44. Utterback, J.M.; Suarez, F.F. Innovation, competition, and industry structure. Res. Policy 1993, 22, 1–21. [CrossRef]
45. Dunne, T.; Klimek, S.D.; Roberts, M.J.; Xu, Y. Entry, exit, and the determinants of market structure. Rand J. Econ. 2013, 44, 462–487. [CrossRef]
46. Topa, G.; Zenou, Y. Neighborhood versus network effects. In Handbook of Regional and Urban Economics; Duranton, G., Henderson, V., Strange, W., Eds.; Elsevier Publisher: Amsterdam, The Netherlands, 2015; Volume 5.
47. Halleck, V.S.; Elhorst, J.P. The SLX model. J. Reg. Sci. 2015, 3, 339–363. [CrossRef]
48. Corrado, L.; Fingleton, B. Where is the economics in spatial econometrics? J. Reg. Sci. 2012, 52, 210–239. [CrossRef]
49. National Bureau of Statistics of China (NBSC). China City Statistical Yearbook; China Statistics Press: Beijing, China, 2011–2015. (In Chinese)
50. Anselin, L. Spatial Econometrics: Methods and Models; Springer Science & Business Media: Heidelberg, Germany, 2013; pp. 97–99.
51. Fagerberg, J.; Verspagen, B.; Caniels, M. Technology, growth and unemployment across European regions. Reg. Stud. 1997, 31, 457–466. [CrossRef]
52. Wang, Y.; Ning, L.; Li, J.; Prevezer, M. Foreign direct investment spillovers and the geography of innovation in Chinese regions: The role of regional industrial specialization and diversity. Reg. Stud. 2016, 50, 805–822. [CrossRef]