The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Can environmental regulation promote urban green innovation Efficiency? An empirical study based on Chinese cities
Abstract
Abstract Considering the heterogeneity of environmental regulation, this study calculates the green innovation efficiency of 235 cities in Mainland China from 2004 to 2016. The study builds a spatial measurement model based on the geographic weight matrix to verify the mechanism through which environmental regulation affects regional green innovation efficiency. This study mainly finds that 1) green innovation efficiency has a large spatial imbalance in 235 Chinese cities. During the study period, green innovation efficiency rises in Eastern China, remains stable in Central China, and declines in Western China. Overall, China shows a trend of “rising in the East, stabilizing in Central China, declining in the West.”; 2) the spatial autocorrelation test shows a significant positive autocorrelation of urban green innovation efficiency and the spatial measurement test results show that it has a significant spatial spillover effect; and 3) according to the spatial error model, environmental regulation has a positive U-shaped relationship with urban green innovation efficiency that can be reinforced by increasing investment in educational resources, optimizing the industrial structure, and improving economic development, supporting the Porter hypothesis at the scale of Chinese cities.
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Cites
Measuring the efficiency of decision making units
Charnes, A., Cooper, W. W., & Rhodes, E. (1978) · European Journal of Operational Research · doi:10.1016/0377-2217(78)90138-8 · Cited by 29,767
Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
Banker, R. D., Charnes, A., & Cooper, W. W. (1984) · Management Science · doi:10.1287/mnsc.30.9.1078 · Cited by 16,729
Toward a New Conception of the Environment-Competitiveness Relationship
Porter, M. E., & Linde, C. V. D. (1995) · Journal of Economic Perspectives · doi:10.1257/jep.9.4.97 · Cited by 13,365
Local Indicators of Spatial Association—LISA
Anselin, L. (1995) · Geographical Analysis · doi:10.1111/j.1538-4632.1995.tb00338.x · Cited by 12,919
A slacks-based measure of super-efficiency in data envelopment analysis
Tone, K. (2002) · European Journal of Operational Research · doi:10.1016/s0377-2217(01)00324-1 · Cited by 3,576
Spatial Processes, Models and Applications
Anselin, L., Cliff, A. D., & Ord, J. K. (1983) · Economic Geography · doi:10.2307/143420 · Cited by 2,628
The Porter Hypothesis at 20: Can Environmental Regulation Enhance Innovation and Competitiveness?
Ambec, S., Cohen, M. A., Elgie, S., & Lanoie, P. (2013) · Review of Environmental Economics and Policy · doi:10.1093/reep/res016 · Cited by 1,928
Determinants of environmental innovation in US manufacturing industries
Brunnermeier, S. B., & Cohen, M. A. (2003) · Journal of Environmental Economics and Management · doi:10.1016/s0095-0696(02)00058-x · Cited by 1,586
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Spatial Processes: Models and Applications
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Metadata
- Authors
- Fan, F., Lian, H., Liu, X., & Wang, X.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2021-03
- Volume
- 287
- Pages
- 125060
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W3101721630
- Cited by
- 412
- References
- 35
- FWCI
- 44.73
- Type
- journal article
- Language
- en
- Open access
- closed
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