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Research articles

On the driving forces of green total factor productivity growth in China: evidence from biased technological progress analysis

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Pages 2972-3002 | Received 02 Aug 2022, Accepted 04 May 2023, Published online: 05 Jun 2023

References

  • Acemoglu, D. 2002. “Directed Technical Change.” Review of Economic Studies 69 (4): 781–809. doi:10.1111/1467-937X.00226.
  • Acemoglu, D. 2003. “Labor‐and Capital‐Augmenting Technical Change.” Journal of the European Economic Association 1 (1): 1–37. doi:10.1162/154247603322256756.
  • Antonelli, C., and F. Quatraro. 2014. “Effects of Biased Technological Changes on Total Factor Productivity: A Rejoinder and New Empirical Evidence.” The Journal of Technology Transfer 39 (2): 281–299. doi:10.1007/s10961-013-9328-5.
  • Arrow, K. J., H. B. Chenery, B. S. Minhas, and R. M. Solow. 1961. “Capital-Labor Substitution and Economic Efficiency.” The Review of Economics and Statistics 43 (3): 225–250. doi:10.2307/1927286.
  • Baltagi, B. H., and D. P. Rich. 2005. “Skill-Biased Technical Change in US Manufacturing: A General Index Approach.” Journal of Econometrics 126 (2): 549–570. doi:10.1016/j.jeconom.2004.05.013.
  • Barauskaite, K., and A. D. M. Nguyen. 2021. “Direct and Network Effects of Idiosyncratic TFP Shocks.” Empirical Economics 60 (6): 2765–2793. doi:10.1007/s00181-020-02009-9.
  • Cao, Z. X., C. Zhai, Y. Wang, T. T. Zhao, and H. Y. Wang. 2020. “Flow Characteristics and Pollutant Removal Effectiveness of Multi-Vortex Ventilation in High Pollution Emission Industrial Plant with Large Aspect Ratio.” Sustainable Cities and Society 54: 101990. doi:10.1016/j.scs.2019.101990.
  • Chen, Y., and Y. Liu. 2021. “How Biased Technological Progress Sustainably Improve the Energy Efficiency: An Empirical Research of Manufacturing Industry in China.” Energy 230: 120823. doi:10.1016/j.energy.2021.120823.
  • Doms, M. E., and T. Dunne. 1995. “Energy Intensity, Electricity Consumption, and Advanced Manufacturing-Technology Usage.” Technological Forecasting and Social Change 49 (3): 297–310. doi:10.1016/0040-1625(95)00055-F.
  • Du, J., Y. Chen, and Y. Huang. 2018. “A Modified Malmquist-Luenberger Productivity Index: Assessing Environmental Productivity Performance in China.” European Journal of Operational Research 269 (1): 171–187. doi:10.1016/j.ejor.2017.01.006.
  • Du, J., and Y. Sun. 2021. “The Nonlinear Impact of Fiscal Decentralization on Carbon Emissions: From the Perspective of Biased Technological Progress.” Environmental Science and Pollution Research International 28 (23): 29890–29899. doi:10.1007/s11356-021-12833-w.
  • Fisher-Vanden, K., G. H. Jefferson, M. Jingkui, and X. Jianyi. 2006. “Technology Development and Energy Productivity in China.” Energy Economics 28 (5–6): 690–705. doi:10.1016/j.eneco.2006.05.006.
  • Gries, T., R. Grundmann, I. Palnau, and M. Redlin. 2017. “Innovations, Growth and Participation in Advanced Economies-a Review of Major Concepts and Findings.” International Economics and Economic Policy 14 (2): 293–351. doi:10.1007/s10368-016-0371-1.
  • Hao, Y., Y. Guo, and H. Wu. 2022. “The Role of Information and Communication Technology on Green Total Factor Energy Efficiency: Does Environmental Regulation Work?” Business Strategy and the Environment 31 (1): 403–424. doi:10.1002/bse.2901.
  • Herrendorf, B., C. Herrington, and Á. Valentinyi. 2015. “Sectoral Technology and Structural Transformation.” American Economic Journal: Macroeconomics 7 (4): 104–133. doi:10.1257/mac.20130041.
  • Hicks, J. 1963. The Theory of Wages. London: Macmillan.
  • Hu, J., H. Sheu, and S. Lo. 2005. “Under the Shadow of Asian Brown Clouds: Unbalanced Regional Productivities in China and Environmental Concerns.” International Journal of Sustainable Development & World Ecology 12 (4): 429–442. doi:10.1080/13504500509469652.
  • Huang, J., H. Zou, and Y. Song. 2021. “Biased Technical Change and Its Influencing Factors of Iron and Steel Industry: Evidence from Provincial Panel Data in China.” Journal of Cleaner Production 283: 124558. doi:10.1016/j.jclepro.2020.124558.
  • Irmen, A., and R. Klump. 2009. “Factor Substitution, Income Distribution and Growth in a Generalized Neoclassical Model.” German Economic Review 10 (4): 464–479. doi:10.1111/j.1468-0475.2009.00491.x.
  • Jin, Y., L. Yu, and Y. Wang. 2022. “Green Total Factor Productivity and Its Saving Effect on the Green Factor in China’s Strategic Minerals Industry from 1998–2017.” International Journal of Environmental Research and Public Health 19 (22): 14717. doi:10.3390/ijerph192214717.
  • Klump, R., P. McAdam, and A. Willman. 2007. “Factor Substitution and Factor-Augmenting Technical Progress in the United States: A Normalized Supply-Side System Approach.” Review of Economics and Statistics 89 (1): 183–192. doi:10.1162/rest.89.1.183.
  • Klump, R., P. McAdam, and A. Willman. 2012. “The Normalized CES Production Function: Theory and Empirics.” Journal of Economic Surveys 26 (5): 769–799. doi:10.1111/j.1467-6419.2012.00730.x.
  • Kmenta, J. 1967. “On Estimation of the CES Production Function.” International Economic Review 8 (2): 180–189. doi:10.2307/2525600.
  • Kumbhakar, S. C., M. Denny, and M. Fuss. 2000. “Estimation and Decomposition of Productivity Change When Production is Not Efficient: A Paneldata Approach.” Econometric Reviews 19 (4): 312–320. doi:10.1080/07474930008800481.
  • Kumbhakar, S. C., S. Nakamura, and A. Heshmati. 2000. “Estimation of Firm-Specific Technological Bias, Technical Change and Total Factor Productivity Growth: A Dual Approach.” Econometric Reviews 19 (4): 162–173. doi:10.1080/07474930008800483.
  • León-Ledesma, M. A., P. McAdam, and A. Willman. 2010. “Identifying the Elasticity of Substitution with Biased Technical Change.” American Economic Review 100 (4): 1330–1357. doi:10.1257/aer.100.4.1330.
  • León-Ledesma, M. A., P. McAdam, and A. Willman. 2015. “Production Technology Estimates and Balanced Growth.” Oxford Bulletin of Economics and Statistics 77 (1): 40–65. doi:10.1111/obes.12049.
  • León-Ledesma, M. A., and M. Satchi. 2019. “Appropriate Technology and Balanced Growth.” The Review of Economic Studies 86 (2): 807–835. doi:10.1093/restud/rdy002.
  • Liao, M., and Y. Ren. 2020. “The ‘Double-Edged Effect’ of Progress in Energy-Biased Technology on Energy Efficiency: A Comparison between the Manufacturing Sector of China and Japan.” Journal of Environmental Management 270: 110794–110794. doi:10.1016/j.jenvman.2020.110794.
  • Lin, P., and N. Meng. 2021. “Biased Technological Progress, Factor Allocation Distortion and High-Quality Development of China’s Industrial Economy-from the Perspective of Technological Congruence.” Shanghai Journal of Economics 40 (8): 72–91. (in Chinese). doi:10.19626/j.cnki.cn31-1163/f.2021.08.007.
  • Li, J., K. F. See, and J. Chi. 2019. “Water Resources and Water Pollution Emissions in China’s Industrial Sector: A Green-Biased Technological Progress Analysis.” Journal of Cleaner Production 229: 1412–1426. doi:10.1016/j.jclepro.2019.03.216.
  • Liu, G., B. Wang, and N. Zhang. 2016. “A Coin Has Two Sides: Which One is Driving China’s Green TFP Growth?” Economic Systems 40 (3): 481–498. doi:10.1016/j.ecosys.2015.12.004.
  • Li, Z., B. Wu, D. Wang, and M. Tang. 2022. “Government Mandatory Energy-Biased Technological Progress and Enterprises’ Environmental Performance: Evidence from a Quasi-Natural Experiment of Cleaner Production Standards in China.” Energy Policy 162: 112779. doi:10.1016/j.enpol.2022.112779.
  • Oh, D. 2010. “A Metafrontier Approach for Measuring an Environmentally Sensitive Productivity Growth Index.” Energy Economics 32 (1): 146–157. doi:10.1016/j.eneco.2009.07.006.
  • Perez-Laborda, A., and F. Perez-Sebastian. 2020. “Capital-Skill Complementarity and Biased Technical Change across US Sectors.” Journal of Macroeconomics 66: 103255. doi:10.1016/j.jmacro.2020.103255.
  • Pittman, R. W. 1983. “Multilateral Productivity Comparisons with Undesirable Outputs.” The Economic Journal 93 (372): 883–891. doi:10.2307/2232753.
  • Rawat, P. S., and S. Sharma. 2021. “TFP Growth, Technical Efficiency and Catch-Up Dynamics: Evidence from Indian Manufacturing.” Economic Modelling 103: 105622. doi:10.1016/j.econmod.2021.105622.
  • Ren, W. 2021. “How to Realize the Sustainable Development of Mariculture Industry: Re-Examine from the Perspective of Biased Technological Progress in China.” Marine Policy 134: 104791. doi:10.1016/j.marpol.2021.104791.
  • Ren, S., Y. Hao, and H. Wu. 2022. “The Role of Outward Foreign Direct Investment (OFDI) on Green Total Factor Energy Efficiency: Does Institutional Quality Matters? Evidence from China.” Resources Policy 76: 102587. doi:10.1016/j.resourpol.2022.102587.
  • Song, M., S. Cao, and S. Wang. 2019. “The Impact of Knowledge Trade on Sustainable Development and Environment-Biased Technical Progress.” Technological Forecasting and Social Change 144: 512–523. doi:10.1016/j.techfore.2018.02.017.
  • Song, M., J. Peng, J. Wang, and J. Zhao. 2018. “Environmental Efficiency and Economic Growth of China: A Ray Slack-Based Model Analysis.” European Journal of Operational Research 269 (1): 51–63. doi:10.1016/j.ejor.2017.03.073.
  • Song, M., and S. Wang. 2018. “Measuring Environment-Biased Technological Progress considering Energy Saving and Emission Reduction.” Process Safety and Environmental Protection 116: 745–753. doi:10.1016/j.psep.2017.08.042.
  • Wang, X., C. Sun, S. Wang, Z. Zhang, and W. Zou. 2018. “Going Green or Going Away? A Spatial Empirical Examination of the Relationship between Environmental Regulations, Biased Technological Progress, and Green Total Factor Productivity.” International Journal of Environmental Research and Public Health 15 (9): 1917. doi:10.3390/ijerph15091917.
  • Wang, F., R. Wang, and Z. He. 2021. “The Impact of Environmental Pollution and Green Finance on the High-Quality Development of Energy Based on Spatial Dubin Model.” Resources Policy 74: 102451. doi:10.1016/j.resourpol.2021.102451.
  • Wei, Z., B. Han, L. Han, and Y. Shi. 2019. “Factor Substitution, Diversified Sources on Biased Technological Progress and Decomposition of Energy Intensity in China’s High-Tech Industry.” Journal of Cleaner Production 231: 87–97. doi:10.1016/j.jclepro.2019.05.223.
  • Xiu, J., G. Zhang, and Y. Hu. 2019. “Which Kind of Directed Technical Change Does China’s Economy Have? From the Perspective of Energy-Saving and Low-Carbon.” Journal of Cleaner Production 233: 160–168. doi:10.1016/j.jclepro.2019.05.296.
  • Yan, X., Y. Zhang, and L. Pei. 2021. “The Impact of Risk-Taking Level on Green Technology Innovation: Evidence from Energy-Intensive Listed Companies in China.” Journal of Cleaner Production 281: 124685. doi:10.1016/j.jclepro.2020.124685.
  • Yang, G., and D. Zha. 2022. “How Does Biased Technological Progress Affect Haze Pollution? Evidence from APEC Economies.” Environmental Science and Pollution Research 29 (36): 54543–54560. doi:10.1007/s11356-022-19568-2.
  • Zhang, B., L. Yu, and C. Sun. 2022. “How Does Urban Environmental Legislation Guide the Green Transition of Enterprises? Based on the Perspective of Enterprises’ Green Total Factor Productivity.” Energy Economics 110: 106032. doi:10.1016/j.eneco.2022.106032.
  • Zhao, P., Y. Gao, and X. Sun. 2022. “How Does Artificial Intelligence Affect Green Economic Growth?: Evidence from China.” The Science of the Total Environment 834: 155306–155306. doi:10.1016/j.scitotenv.2022.155306.
  • Zhen, W., X. Zhao, and Y. Zhou. 2021. “Biased Technological Progress and Total Factor Productivity Growth: From the Perspective of China’s Renewable Energy Industry.” Renewable and Sustainable Energy Reviews 146: 111136. doi:10.1016/j.rser.2021.111136.

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