Towards green economic recovery: how to improve green total factor productivity
Tóm tắt
Từ khóa
Tài liệu tham khảo
Badinger H, Egger P (2016) Productivity spillovers across countries and industries: new evidence from OECD countries. Oxf Bull Econ Stat 78(4):501–521. https://doi.org/10.1111/obes.12122
Battese GE, Coelli TJ (1995) A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empir Econ 20(2):325–332. https://doi.org/10.1007/BF01205442
Bengoa M, Martínez-San Román V, Pérez P (2017) Do R&D activities matter for productivity? A regional spatial approach assessing the role of human and social capital. Econ Model 60:448–461. https://doi.org/10.1016/j.econmod.2016.09.005
Bian Y, Song K, Bai J (2019) Market segmentation, resource misallocation and environmental pollution. J Clean Prod 228:376–387. https://doi.org/10.1016/j.jclepro.2019.04.286
Cao X, Deng M, Li H (2021) How does e-commerce city pilot improve green total factor productivity? Evidence from 230 cities in China. J Environ Manag 289:112520. https://doi.org/10.1016/j.jenvman.2021.112520
Cassetti G, Boitier B, Elia A, Le Mouël P, Gargiulo M, Zagamé P, Chiodi A (2023) The interplay among COVID-19 economic recovery, behavioural changes, and the European green deal: an energy-economic modelling perspective. Energy 263:125798. https://doi.org/10.1016/j.energy.2022.125798
Chen P (2022) Is the digital economy driving clean energy development?-New evidence from 276 cities in China. J Clean Prod 372:133783. https://doi.org/10.1016/j.jclepro.2022.133783
Chen YY, Schmidt P, Wang HJ (2014) Consistent estimation of the fixed effects stochastic frontier model. J Econ 181(2):65–76. https://doi.org/10.1016/j.jeconom.2013.05.009
Chen C, Lan Q, Gao M, Sun Y (2018) Green total factor productivity growth and its determinants in China’s industrial economy. Sustain 10(4):1052. https://doi.org/10.3390/su10041052
Chen H, Guo W, Feng X, Wei W, Liu H, Feng Y, Gong W (2021) The impact of low-carbon city pilot policy on the total factor productivity of listed enterprises in China. Resour Conserv Recycl 169:105457. https://doi.org/10.1016/j.resconrec.2021.105457
Chen Y, Miao J, Zhu Z (2021) Measuring green total factor productivity of China’s agricultural sector: a three-stage SBM-DEA model with non-point source pollution and CO2 emissions. J Clean Prod 318:128543. https://doi.org/10.1016/j.jclepro.2021.128543
Chen YPV, Zhuo Z, Huang Z, Li W (2022) Environmental regulation and ESG of SMEs in China: porter hypothesis re-tested. Sci Total Environ 850:157967. https://doi.org/10.1016/j.scitotenv.2022.157967
Chen J, Abbas J, Najam H, Liu J, Abbas J (2023) Green technological innovation, green finance, and financial development and their role in green total factor productivity: Empirical insights from China. J Clean Prod 382:135131. https://doi.org/10.1016/j.jclepro.2022.135131
Cheng Z, Li L, Liu J (2020) Natural resource abundance, resource industry dependence and economic green growth in China. Resour Policy 68:101734. https://doi.org/10.1016/j.resourpol.2020.101734
Cheng Z, Li X, Zhu Y, Wang M (2022) The effects of agglomeration externalities on urban green total-factor productivity in China. Econ Syst. https://doi.org/10.1016/j.ecosys.2022.101025
Chiu YB, Lee CC (2020) Effects of financial development on energy consumption: the role of country risks. Energy Econ 90:104833. https://doi.org/10.1016/j.eneco.2020.104833
Choi Y, Zhang N, Zhou P (2012) Efficiency and abatement costs of energy-related CO2 emissions in China: a slacks-based efficiency measure. Appl Energy 98:198–208. https://doi.org/10.1016/j.apenergy.2012.03.024
Diao P, Zhang Z, Jin Z (2018) Dynamic and static analysis of agricultural productivity in China. China Agric Econ Rev 10(2):293–312. https://doi.org/10.1108/CAER-08-2015-0095
Dong F, Hu M, Gao Y, Liu Y, Zhu J, Pan Y (2022) How does digital economy affect carbon emissions? Evidence from global 60 countries. Sci Total Environ 852:158401. https://doi.org/10.1016/j.scitotenv.2022.158401
Du K, Li J (2019) Towards a green world: How do green technology innovations affect total-factor carbon productivity. Energy Policy 131:240–250. https://doi.org/10.1016/j.enpol.2019.04.033
Du W, Li M, Wang F (2020) Role of rent-seeking or technological progress in maintaining the monopoly power of energy enterprises: An empirical analysis based on micro-data from China. Energy 202:117763. https://doi.org/10.1016/j.energy.2020.117763
Feng C, Huang JB, Wang M (2018) Analysis of green total-factor productivity in China’s regional metal industry: a meta-frontier approach. Resour Policy 58:219–229. https://doi.org/10.1016/j.resourpol.2018.05.008
Feng Y, Zhong S, Li Q, Zhao X, Dong X (2019) Ecological well-being performance growth in China (1994–2014): from perspectives of industrial structure green adjustment and green total factor productivity. J Clean Prod 236:117556. https://doi.org/10.1016/j.jclepro.2019.07.031
Feng Y, Wang X, Liang Z, Hu S, Xie Y, Wu G (2021) Effects of emission trading system on green total factor productivity in China: Empirical evidence from a quasi-natural experiment. J Clean Prod 294:126262. https://doi.org/10.1016/j.jclepro.2021.126262
Gao Y, Zhang M, Zheng J (2021) Accounting and determinants analysis of China’s provincial total factor productivity considering carbon emissions. China Econ Rev 65:101576. https://doi.org/10.1016/j.chieco.2020.101576
Gao D, Zhao B, Kwan TH, Hao Y, Pei G (2022) The spatial and temporal mismatch phenomenon in solar space heating applications: status and solutions. Appl Energy 321:119326. https://doi.org/10.1016/j.apenergy.2022.119326
Ge Y, Zhu Y (2022) Boosting green recovery: Green credit policy in heavily polluted industries and stock price crash risk. Resour Policy 79:103058. https://doi.org/10.1016/j.resourpol.2022.103058
Goenka A, Liu L, Nguyen MH (2021) COVID-19 and a green recovery? Econ Model 104:105639. https://doi.org/10.1016/j.econmod.2021.105639
Greene W (2010) A stochastic frontier model with correction for sample selection. J Product Anal 34(1):15–24. https://doi.org/10.1007/s11123-009-0159-1
Guan H, Dong L, Zhao A (2023) Energy structure dividend, factor allocation efficiency and regional productivity growth–an empirical examination of energy restructuring in China. Energy Policy 172:113307. https://doi.org/10.1016/j.enpol.2022.113307
Guo W, Liu X (2022) Market fragmentation of energy resource prices and green total factor energy efficiency in China. Resour Policy 76:102580. https://doi.org/10.1016/j.resourpol.2022.102580
Guo R, Yuan Y (2020) Different types of environmental regulations and heterogeneous influence on energy efficiency in the industrial sector: evidence from Chinese provincial data. Energy Policy 145:111747. https://doi.org/10.1016/j.enpol.2020.111747
Guo L, Li H, Cao X, Cao A, Huang M (2021) Effect of agricultural subsidies on the use of chemical fertilizer. J Environ Manag 299:113621. https://doi.org/10.1016/j.jenvman.2021.113621
Habib MA, Ljungqvist A (2005) Firm value and managerial incentives: a stochastic frontier approach. J Bus 78(6):2053–2094. https://doi.org/10.1086/497040
Hao Y, Zhu L, Ye M (2018) The dynamic relationship between energy consumption, investment and economic growth in China’s rural area: New evidence based on provincial panel data. Energy 154:374–382. https://doi.org/10.1016/j.energy.2018.04.142
Hasan MM, Du F (2023) The role of foreign trade and technology innovation on economic recovery in China: The mediating role of natural resources development. Resour Policy 80:103121. https://doi.org/10.1016/j.resourpol.2022.103121
Hou B, Wang B, Du M, Zhang N (2020) Does the SO2 emissions trading scheme encourage green total factor productivity? An empirical assessment on China’s cities. Environ Sci Pollut Res 27(6):6375–6388. https://doi.org/10.1007/s11356-019-07273-6
Huang SZ (2022) Do green financing and industrial structure matter for green economic recovery? Fresh empirical insights from Vietnam. Econ Anal Policy 75:61–73. https://doi.org/10.1016/j.eap.2022.04.010
Huang H, Mbanyele W, Wang F, Song M, Wang Y (2022) Climbing the quality ladder of green innovation: does green finance matter? Technol Forecast Soc Change 184:122007. https://doi.org/10.1016/j.techfore.2022.122007
Jiang Y (2015) Total factor productivity, pollution and ‘green’economic growth in China. J Int Dev 27(4):504–515. https://doi.org/10.1002/jid.2944
Jiang H, Jiang P, Wang D, Wu J (2021) Can smart city construction facilitate green total factor productivity? A quasi-natural experiment based on China’s pilot smart city. Sustain City Soc 69:102809. https://doi.org/10.1016/j.scs.2021.102809
Koasidis K, Nikas A, Van de Ven DJ, Xexakis G, Forouli A, Mittal S, Doukas H (2022) Towards a green recovery in the EU: aligning further emissions reductions with short-and long-term energy-sector employment gains. Energy Policy 171:113301. https://doi.org/10.1016/j.enpol.2022.113301
Kong G, Wang S, Wang Y (2022) Fostering firm productivity through green finance: evidence from a quasi-natural experiment in China. Econ Model 115:105979. https://doi.org/10.1016/j.econmod.2022.105979
Lanoie P, Laurent-Lucchetti J, Johnstone N, Ambec S (2011) Environmental policy, innovation and performance: new insights on the Porter hypothesis. J Econ Manag Strategy 20(3):803–842. https://doi.org/10.1111/j.1530-9134.2011.00301.x
Lee CC, Lee CC (2022) How does green finance affect green total factor productivity? Evidence from China. Energy Econ 107:105863. https://doi.org/10.1016/j.eneco.2022.105863
Lee CC, Zeng M, Wang C (2022) Environmental regulation, innovation capability, and green total factor productivity: new evidence from China. Environ Sci Pollut Res 29(26):39384–39399. https://doi.org/10.1007/s11356-021-18388-0
Levinsohn J, Petrin A (2003) Estimating production functions using inputs to control for unobservables. Rev Econ Stud 70(2):317–341. https://doi.org/10.1111/1467-937X.00246
Li K, Lin B (2015) Measuring green productivity growth of Chinese industrial sectors during 1998–2011. China Econ Rev 36:279–295. https://doi.org/10.1016/j.chieco.2015.09.008
Li Z, Wang J (2022) The dynamic impact of digital economy on carbon emission reduction: evidence city-level empirical data in China. J Clean Prod 351:131570. https://doi.org/10.1016/j.jclepro.2022.131570
Li C, Qi Y, Liu S, Wang X (2022) Do carbon ETS pilots improve cities’ green total factor productivity? Evidence from a quasi-natural experiment in China. Energy Econ 108:105931. https://doi.org/10.1016/j.eneco.2022.105931
Li J, Chen L, Chen Y, He J (2022b) Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China. Manag Decis Econ 43(3):616–629. https://doi.org/10.1002/mde.3406
Li X, Du K, Ouyang X, Liu L (2022) Does more stringent environmental regulation induce firms’ innovation? Evidence from the 11th Five-year plan in China. Energy Econ. https://doi.org/10.1016/j.eneco.2022.106110
Liu Y, Feng C (2019) What drives the fluctuations of “green” productivity in China’s agricultural sector? A weighted Russell directional distance approach. Resour Conserv Recycl 147:201–213. https://doi.org/10.1016/j.resconrec.2019.04.013
Liu Y, Zhu J, Li EY, Meng Z, Song Y (2020) Environmental regulation, green technological innovation, and eco-efficiency: The case of Yangtze river economic belt in China. Technol Forecast Soc Change 155:119993. https://doi.org/10.1016/j.techfore.2020.119993
Liu D, Zhu X, Wang Y (2021) China’s agricultural green total factor productivity based on carbon emission: an analysis of evolution trend and influencing factors. J Clean Prod 278:123692. https://doi.org/10.1016/j.jclepro.2020.123692
Liu H, Yang R, Wu D, Zhou Z (2021) Green productivity growth and competition analysis of road transportation at the provincial level employing Global Malmquist-Luenberger Index approach. J Clean Prod 279:123677. https://doi.org/10.1016/j.jclepro.2020.123677
Liu Y, Wang J, Dong K, Taghizadeh-Hesary F (2023) How does natural resource abundance affect green total factor productivity in the era of green finance? Global evidence. Resour Policy 81:103315. https://doi.org/10.1016/j.resourpol.2023.103315
Luo Y, Lu Z, Salman M, Song S (2022) Impacts of heterogenous technological innovations on green productivity: an empirical study from 261 cities in China. J Clean Prod 334:130241. https://doi.org/10.1016/j.jclepro.2021.130241
Lyu Y, Wang W, Wu Y, Zhang J (2022) How does digital economy affect green total factor productivity? Evidence from China. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2022.159428
Mao W, Koo WW (1997) Productivity growth, technological progress, and efficiency change in Chinese agriculture after rural economic reforms: a DEA approach. China Econ Rev 8(2):157–174. https://doi.org/10.1016/S1043-951X(97)90004-3
Meng F, Zhao Y (2022) How does digital economy affect green total factor productivity at the industry level in China: From a perspective of global value chain. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-022-21434-0
Miao C, Fang D, Sun L, Luo Q (2017) Natural resources utilization efficiency under the influence of green technological innovation. Resour Conserv Recycl 126:153–161. https://doi.org/10.1016/j.resconrec.2017.07.019
Olley G, Pakes A (1996) The dynamics of productivity in the telecommunications equipment industry. Econometrica 64(6):1263–1297. https://doi.org/10.3386/w3977
Peng H, Shen N, Ying H, Wang Q (2021) Can environmental regulation directly promote green innovation behavior?—based on situation of industrial agglomeration. J Clean Prod 314:128044. https://doi.org/10.1016/j.jclepro.2021.128044
Qiu S, Wang Z, Geng S (2021) How do environmental regulation and foreign investment behavior affect green productivity growth in the industrial sector? An empirical test based on Chinese provincial panel data. J Environ Manag 287:112282. https://doi.org/10.1016/j.jenvman.2021.112282
Ren S, Hao Y, Wu H (2021) Government corruption, market segmentation and renewable energy technology innovation: Evidence from China. J Environ Manag 300:113686. https://doi.org/10.1016/j.jenvman.2021.113686
Repetto R, Rothman D, Faeth P, Austin D (1997) Has environmental protection really reduced productivity growth? Chall 40(1):46–57. https://doi.org/10.1080/05775132.1997.11471950
Rusiawan W, Tjiptoherijanto P, Suganda E, Darmajanti L (2015) Assessment of green total factor productivity impact on sustainable Indonesia productivity growth. Procedia Environ Sci 28:493–501. https://doi.org/10.1016/j.proenv.2015.07.059
Şeker M, Saliola F (2018) A cross-country analysis of total factor productivity using micro-level data. Central Bank Rev 18(1):13–27. https://doi.org/10.1016/j.cbrev.2018.01.001
Shah SAA, Longsheng C, Solangi YA, Ahmad M, Ali S (2021) Energy trilemma based prioritization of waste-to-energy technologies: implications for post-COVID-19 green economic recovery in Pakistan. J Clean Prod 284:124729. https://doi.org/10.1016/j.jclepro.2020.124729
Shahbaz M, Wang J, Dong K, Zhao J (2022) The impact of digital economy on energy transition across the globe: the mediating role of government governance. Renew Sustain Energy Rev 166:112620. https://doi.org/10.1016/j.rser.2022.112620
Shi X, Li L (2019) Green total factor productivity and its decomposition of Chinese manufacturing based on the MML index: 2003–2015. J Clean Prod 222:998–1008. https://doi.org/10.1016/j.jclepro.2019.03.080
Song M, Peng L, Shang Y, Zhao X (2022) Green technology progress and total factor productivity of resource-based enterprises: a perspective of technical compensation of environmental regulation. Technol Forecast Soc Change 174:121276. https://doi.org/10.1016/j.techfore.2021.121276
Tang HL, Liu JM, Wu JG (2020) The impact of command-and-control environmental regulation on enterprise total factor productivity: a quasi-natural experiment based on China’s “Two Control Zone” policy. J Clean Prod 254:120011. https://doi.org/10.1016/j.jclepro.2020.120011
Tone K (2001) A slacks-based measure of efficiency in data envelopment analysis. Eur J Oper Res 130(3):498–509. https://doi.org/10.1016/S0377-2217(99)00407-5
Walker NL, Williams AP, Styles D (2020) Key performance indicators to explain energy & economic efficiency across water utilities, and identifying suitable proxies. J Environ Manag 269:110810. https://doi.org/10.1016/j.jenvman.2020.110810
Wang M, Feng C (2021) The win-win ability of environmental protection and economic development during China’s transition. Technol Forecast Soc Change 166:120617. https://doi.org/10.1016/j.techfore.2021.120617
Wang X, Sun C, Wang S, Zhang Z, Zou W (2018) Going green or going away? A spatial empirical examination of the relationship between environmental regulations, biased technological progress, and green total factor productivity. Int J Environ Res Public Health 15(9):1917. https://doi.org/10.3390/ijerph15091917
Wang H, Cui H, Zhao Q (2021) Effect of green technology innovation on green total factor productivity in China: evidence from spatial durbin model analysis. J Clean Prod 288:125624. https://doi.org/10.1016/j.jclepro.2020.125624
Wang EZ, Lee CC, Li Y (2022) Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries. Energy Econ 105:105748. https://doi.org/10.1016/j.eneco.2021.105748
Wang J, Dong K, Dong X, Taghizadeh-Hesary F (2022) Assessing the digital economy and its carbon-mitigation effects: The case of China. Energy Econ 113:106198. https://doi.org/10.1016/j.eneco.2022.106198
Wang J, Wang B, Dong K, Dong X (2022) How does the digital economy improve high-quality energy development? The case of China. Technol Forecast Soc Change 184:121960. https://doi.org/10.1016/j.techfore.2022.121960
Wang J, Wang K, Dong K, Shahbaz M (2022) How does the digital economy accelerate global energy justice? Mechanism discussion and empirical test. Energy Econ 114:106315. https://doi.org/10.1016/j.eneco.2022.106315
Wang KL, Pang SQ, Zhang FQ, Miao Z, Sun HP (2022) The impact assessment of smart city policy on urban green total-factor productivity: evidence from China. Environ Impact Assess Rev 94:106756. https://doi.org/10.1016/j.eiar.2022.106756
Wang X, Wang Z, Wang R (2023) Does green economy contribute towards COP26 ambitions? Exploring the influence of natural resource endowment and technological innovation on the growth efficiency of China’s regional green economy. Resour Policy 80:103189. https://doi.org/10.1016/j.resourpol.2022.103189
Wen H, Lee CC, Zhou F (2022) How does fiscal policy uncertainty affect corporate innovation investment? Evidence from China’s new energy industry. Energy Econ 105:105767. https://doi.org/10.1016/j.eneco.2021.105767
Wu J, Xia Q, Li Z (2022) Green innovation and enterprise green total factor productivity at a micro level: a perspective of technical distance. J Clean Prod 344:131070. https://doi.org/10.1016/j.jclepro.2022.131070
Xia F, Xu J (2020) Green total factor productivity: a re-examination of quality of growth for provinces in China. China Econ Rev 62:101454. https://doi.org/10.1016/j.chieco.2020.101454
Xie F, Zhang B, Wang N (2021) Non-linear relationship between energy consumption transition and green total factor productivity: a perspective on different technology paths. Sustain Prod Consum 28:91–104. https://doi.org/10.1016/j.spc.2021.03.036
Xie R, Yao S, Han F, Zhang Q (2022) Does misallocation of land resources reduce urban green total factor productivity? An analysis of city-level panel data in China. Land Use Policy 122:106353. https://doi.org/10.1016/j.landusepol.2022.106353
Xiong L, Ning J, Dong Y (2022) Pollution reduction effect of the digital transformation of heavy metal enterprises under the agglomeration effect. J Clean Prod 330:129864. https://doi.org/10.1016/j.jclepro.2021.129864
Xue Y, Tang C, Wu H, Liu J, Hao Y (2022) The emerging driving force of energy consumption in China: Does digital economy development matter? Energy Policy 165:112997. https://doi.org/10.1016/j.enpol.2022.112997
Yan Z, Zou B, Du K, Li K (2020) Do renewable energy technology innovations promote China’s green productivity growth? Fresh evidence from partially linear functional-coefficient models. Energy Econ 90:104842. https://doi.org/10.1016/j.eneco.2020.104842
Yi M, Liu Y, Sheng MS, Wen L (2022) Effects of digital economy on carbon emission reduction: new evidence from China. Energy Policy 171:113271. https://doi.org/10.1016/j.enpol.2022.113271
Yu D, Liu L, Gao S, Yuan S, Shen Q, Chen H (2022) Impact of carbon trading on agricultural green total factor productivity in China. J Clean Prod 367:132789. https://doi.org/10.1016/j.jclepro.2022.132789
Zhang D (2021) Green credit regulation, induced R&D and green productivity: revisiting the porter hypothesis. Int Rev Financ Anal 75:101723. https://doi.org/10.1016/j.irfa.2021.101723
Zhang Q, Song C, Chen X (2018) Effects of China’s payment for ecosystem services programs on cropland abandonment: a case study in Tiantangzhai Township, Anhui, China. Land Use Policy 73:239–248. https://doi.org/10.1016/j.landusepol.2018.01.001
Zhang L, Mu R, Zhan Y, Yu J, Liu L, Yu Y, Zhang J (2022) Digital economy, energy efficiency, and carbon emissions: Evidence from provincial panel data in China. Sci Total Environ 852:158403. https://doi.org/10.1016/j.scitotenv.2022.158403
Zhao L, Chau KY, Tran TK, Sadiq M, Xuyen NTM, Phan TTH (2022a) Enhancing green economic recovery through green bonds financing and energy efficiency investments. Econ Anal Policy 76:488–501. https://doi.org/10.1016/j.eap.2022.08.019
Zhao X, Nakonieczny J, Jabeen F, Shahzad U, Jia W (2022) Does green innovation induce green total factor productivity? Novel findings from Chinese city level data. Technol Forecast Soc Change 185:122021. https://doi.org/10.1016/j.techfore.2022.122021
Zhao LG, Lin J, Zhu JM (2015) Green total factor productivity of hog breeding in China: application of SE-SBM model and grey relation matrix. Pol J Environ Stud 24(1).
Zhong S, Li A, Wu J (2022) How does digital finance affect environmental total factor productivity: a comprehensive analysis based on econometric model. Environ Dev. https://doi.org/10.1016/j.envdev.2022.100759
Zhou L, Tang L (2021) Environmental regulation and the growth of the total-factor carbon productivity of China’s industries: evidence from the implementation of action plan of air pollution prevention and control. J Environ Manag 296:113078. https://doi.org/10.1016/j.jenvman.2021.113078