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Merits of Intercity Innovation Cooperation of Environment-friendly Patents for Environmental Regulation Efficiency

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  • Zeng, Juying
  • Pagàn-Castaño, Esther
  • Ribeiro-Navarrete, Samuel

Abstract

The innovation cooperation among enterprises and cities exerts impacts on efficiency to gain both economic and environmental performances. The research employs a dynamic social cooperation network weighted spatial Durbin approach to examine the merits of innovation cooperation of environment-friendly patents on environmental regulation efficiency with 6886 pieces of related patents in 26 Chinese cities. Using the Super-SBM model with undesirable outputs, the research finds the environmental regulation efficiency witnesses a dramatic improvement while great intercity discrepancy for 26 cities in Yangtze River Delta region. The social cooperation network identification clarifies the intercity innovation cooperation of environment-friendly patents does exist among 26 cities and the cooperation intensity has enhanced considerably. Furthermore, several more developed cities have strong "control ability" over resources. The dynamic spatial Durbin identification validates the innovation cooperation through control ability of information resources for other cities could significantly improve the environmental regulation efficiency. While the overall cooperation intensity has a hindering role on environmental regulation efficiency for 26 cities. The results provide new insights of innovation cooperation on improving environmental regulation efficiency in a developing economy.

Suggested Citation

  • Zeng, Juying & Pagàn-Castaño, Esther & Ribeiro-Navarrete, Samuel, 2022. "Merits of Intercity Innovation Cooperation of Environment-friendly Patents for Environmental Regulation Efficiency," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
  • Handle: RePEc:eee:tefoso:v:180:y:2022:i:c:s0040162521008350
    DOI: 10.1016/j.techfore.2021.121404
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    1. Tone, Kaoru & Sahoo, Biresh K., 2003. "Scale, indivisibilities and production function in data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 84(2), pages 165-192, May.
    2. M. Ozman, 2009. "Inter-firm networks and innovation: a survey of literature," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 18(1), pages 39-67.
    3. Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
    4. Cenjie Liu & Chunbo Ma & Rui Xie, 2020. "Structural, Innovation and Efficiency Effects of Environmental Regulation: Evidence from China’s Carbon Emissions Trading Pilot," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(4), pages 741-768, April.
    5. Ferreira, João J.M. & Fernandes, Cristina I. & Ferreira, Fernando A.F., 2020. "Technology transfer, climate change mitigation, and environmental patent impact on sustainability and economic growth: A comparison of European countries," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    6. Satoshi Honma, 2015. "Does international trade improve environmental efficiency? An application of a super slacks-based measure of efficiency," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-12, December.
    7. Guo, Ran & Yuan, Yijun, 2020. "Different types of environmental regulations and heterogeneous influence on energy efficiency in the industrial sector: Evidence from Chinese provincial data," Energy Policy, Elsevier, vol. 145(C).
    8. Hu, Jiangfeng & Pan, Xinxin & Huang, Qinghua, 2020. "Quantity or quality? The impacts of environmental regulation on firms’ innovation–Quasi-natural experiment based on China's carbon emissions trading pilot," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    9. George E. Halkos & Shunsuke Managi, 2017. "Measuring the Effect of Economic Growth on Countries’ Environmental Efficiency: A Conditional Directional Distance Function Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 753-775, November.
    10. Michael J. Barber & Thomas Scherngell, 2013. "Is the European R&D Network Homogeneous? Distinguishing Relevant Network Communities Using Graph Theoretic and Spatial Interaction Modelling Approaches," Regional Studies, Taylor & Francis Journals, vol. 47(8), pages 1283-1298, September.
    11. Shuai Shao & Zhigao Hu & Jianhua Cao & Lili Yang & Dabo Guan, 2020. "Environmental Regulation and Enterprise Innovation: A Review," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1465-1478, March.
    12. Fredriksson, Per G. & Millimet, Daniel L., 2002. "Strategic Interaction and the Determination of Environmental Policy across U.S. States," Journal of Urban Economics, Elsevier, vol. 51(1), pages 101-122, January.
    13. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    14. Manfred Paier & Thomas Scherngell, 2011. "Determinants of Collaboration in European R&D Networks: Empirical Evidence from a Discrete Choice Model," Industry and Innovation, Taylor & Francis Journals, vol. 18(1), pages 89-104.
    15. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    16. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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