Under the background of Green Development, the function direction of technological innovation to green development efficiency, which includes economy, resources and environment, needs to be observed by demonstration. In this paper, the green development efficiency of 30 provinces (cities and districts) in China from 2004 to 2017 is measured and its intertemporal changes, regional differences of green development efficiency are analyzed by using the super efficiency SBM model, further through theoretical analysis and empirical study, the influence of technological innovation on regional green development efficiency and its impact mechanism are investigated. The influence mechanisms of the technological innovation on green development efficiency are clarified and empirically tested by spatial econometric models from the perspectives of the growth sources and quantitative analysis. The results show that during the observation period, the green development efficiency in China exhibits a U-shaped variation, but there are huge regional differences with the obvious polarization in Eastern and Midwestern regions, and that technological innovation has some effect in promoting the region green development efficiency, but not significant enough, which are heterogeneous according to the time periods and regions.
Published in | International Journal of Economy, Energy and Environment (Volume 7, Issue 1) |
DOI | 10.11648/j.ijeee.20220701.11 |
Page(s) | 1-12 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Technological Innovation, Green Development Efficiency, Spatial Durbin Model, Meta-US-SBM Model
[1] | Jaffe, Adam B., Richard G. Newell, Robert N. Stavins, 2002. Environmental Policy and Technological Change. Environmental and Resource Economics, 22: 41-70. |
[2] | J. Daniel Khazzoom, 1980. Economic Implications of Mandated Efficiency in Standards for Household Appliances. The Energy Journal, International Association for Energy Economics, 4: 21-40. |
[3] | Lin BQ, Nelson IB, 2017. Green development determinants in China: A non-radial quantile outlook. Journal of Cleaner Production, 162: 764-775. |
[4] | Wang Y, Li HY, Yu H, 2018. Analysis of spatial pattern and evolution characteristics of provincial green development in China. China Population, Resources and Environment, 28: 96-104. |
[5] | Zhang J, Wu GY, Zhang JP, 2004. Estimation of China’s inter-provincial physical capital stock: 1952-2000. Economic Research, 10: 1-15. |
[6] | A. C. Harberger, 1978. A Primer on Inflation. Money & Monetary Policy in Less Developed Countries, 10: 505-521. |
[7] | Wu YR, 2008. Contribution of productivity to China’s economic growth: New estimates. China Economic Quarterly, 3: 827-842. |
[8] | Jesús Mur, Ana Angulo, 2009. Model Selection Strategies in a Spatial Setting: Some Additional Results. Regional Science and Urban Economics, 39: 25-37. |
[9] | J. Paul Elhorst, 2014. Spatial econometrics. From cross-sectional data to spatial panels. Springer Berlin Heidelberg. |
[10] | Luc Anselin, 1988. Lagrange Multiplier Test Diagnostics for Spatial Dependence and Spatial Heterogeneity. Geographical Analysis, 20: 1-17. |
[11] | Luc Anselin, Anil K. Bera, et al., 1996. Simple diagnostic tests for spatial dependence. Regional Science and Urban Economics, 26: 77-104. |
[12] | Zou CX, 2006. Technology-environment paradox and the nature of technology. Studies in Philosophy of Science and Technology, 1: 82-84+111. |
[13] | Arnulf Grubler, 1998. Technology and Global change, Cambridge University Press. |
[14] | Li HD, Wang SY, 2012. An empirical analysis of ecological efficiency evaluation and its influencing factors in the construction of “Two-oriented” society- a case study of provincial panel data from 2006 to 2009. Journal of University of Electronic Science and Technology of China (Social Sciences Edition), 6: 72-77. |
[15] | Huang JH, Xu HL, 2016. Spatio-temporal evolution and promotion mechanism of regional eco-efficiency in China. Journal of Hunan University: Social Sciences Edition, 1: 60-70. |
[16] | Zhu Y, Zhang ZY, 2005. A study on the regional difference of the influence of technological innovation on economic growth. China Soft Science, 11: 92-98. |
[17] | Bishwanath Goldar, Nandini Banerjee, 2004. Impact of informal regulation of pollution on water quality in rivers in India. Journal of Environmental Management, 73: 117-130. |
[18] | Allen Blackman, Arne Kildegaard, 2010. Clean Technological Change in Developing-country Industrial Clusters: Mexican Leather Tanning. Environmental Economics and Policy Studies, 12: 115-132. |
[19] | Zhijun F, Wei C, 2018. Environmental regulation, green innovation, and industrial green development: An empirical analysis based on the spatial durbin model. Sustainability, 10: 1- 22. |
[20] | Zhang JX, Chang Y, Zhang LX, et al, 2018. Do technological innovations promote urban green development? A spatial econometric analysis of 105 cities in China. Journal of Cleaner Production, 182: 395-403. |
[21] | Hu AG, Zhou SJ, 2014. Green development: Functional definition, mechanism analysis and development strategy. China Population, Resources and Environment, 24: 14-20. |
[22] | Wang Bing, Wu Y R, Yan P F, 2010. Regional environmental efficiency and Total factor productivity growth in China. Economic Research. 45: 95-109. |
[23] | Tian YH, He SB, Hu SQ, 2011. Reestimation of regional Total factor productivity growth under environmental constraints: 1998-2008. China’s industrial economy, 1: 47-57. |
[24] | Ingo Walter, Judith L, Ugelow, 1979. Environmental Policies in Developing Countries. Ambio, 8: 102-109. |
[25] | Antweiler, Werner, Brian R. Copeland and M. Scott Taylor, 2001. Is Free Trade Good for The Environment? American Economic Review. 1: 877-908. |
[26] | Xu HL, Deng YP, 2012. Does foreign direct investment contribute to China’s environmental pollution? Spatial Econometric Study based on China provincial panel data. Management World. 2: 30-43. |
APA Style
Bo Jin, Wenning Liu. (2022). Influence of Technological Innovation on Regional Green Development Efficiency. International Journal of Economy, Energy and Environment, 7(1), 1-12. https://doi.org/10.11648/j.ijeee.20220701.11
ACS Style
Bo Jin; Wenning Liu. Influence of Technological Innovation on Regional Green Development Efficiency. Int. J. Econ. Energy Environ. 2022, 7(1), 1-12. doi: 10.11648/j.ijeee.20220701.11
AMA Style
Bo Jin, Wenning Liu. Influence of Technological Innovation on Regional Green Development Efficiency. Int J Econ Energy Environ. 2022;7(1):1-12. doi: 10.11648/j.ijeee.20220701.11
@article{10.11648/j.ijeee.20220701.11, author = {Bo Jin and Wenning Liu}, title = {Influence of Technological Innovation on Regional Green Development Efficiency}, journal = {International Journal of Economy, Energy and Environment}, volume = {7}, number = {1}, pages = {1-12}, doi = {10.11648/j.ijeee.20220701.11}, url = {https://doi.org/10.11648/j.ijeee.20220701.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijeee.20220701.11}, abstract = {Under the background of Green Development, the function direction of technological innovation to green development efficiency, which includes economy, resources and environment, needs to be observed by demonstration. In this paper, the green development efficiency of 30 provinces (cities and districts) in China from 2004 to 2017 is measured and its intertemporal changes, regional differences of green development efficiency are analyzed by using the super efficiency SBM model, further through theoretical analysis and empirical study, the influence of technological innovation on regional green development efficiency and its impact mechanism are investigated. The influence mechanisms of the technological innovation on green development efficiency are clarified and empirically tested by spatial econometric models from the perspectives of the growth sources and quantitative analysis. The results show that during the observation period, the green development efficiency in China exhibits a U-shaped variation, but there are huge regional differences with the obvious polarization in Eastern and Midwestern regions, and that technological innovation has some effect in promoting the region green development efficiency, but not significant enough, which are heterogeneous according to the time periods and regions.}, year = {2022} }
TY - JOUR T1 - Influence of Technological Innovation on Regional Green Development Efficiency AU - Bo Jin AU - Wenning Liu Y1 - 2022/01/08 PY - 2022 N1 - https://doi.org/10.11648/j.ijeee.20220701.11 DO - 10.11648/j.ijeee.20220701.11 T2 - International Journal of Economy, Energy and Environment JF - International Journal of Economy, Energy and Environment JO - International Journal of Economy, Energy and Environment SP - 1 EP - 12 PB - Science Publishing Group SN - 2575-5021 UR - https://doi.org/10.11648/j.ijeee.20220701.11 AB - Under the background of Green Development, the function direction of technological innovation to green development efficiency, which includes economy, resources and environment, needs to be observed by demonstration. In this paper, the green development efficiency of 30 provinces (cities and districts) in China from 2004 to 2017 is measured and its intertemporal changes, regional differences of green development efficiency are analyzed by using the super efficiency SBM model, further through theoretical analysis and empirical study, the influence of technological innovation on regional green development efficiency and its impact mechanism are investigated. The influence mechanisms of the technological innovation on green development efficiency are clarified and empirically tested by spatial econometric models from the perspectives of the growth sources and quantitative analysis. The results show that during the observation period, the green development efficiency in China exhibits a U-shaped variation, but there are huge regional differences with the obvious polarization in Eastern and Midwestern regions, and that technological innovation has some effect in promoting the region green development efficiency, but not significant enough, which are heterogeneous according to the time periods and regions. VL - 7 IS - 1 ER -