Abstract
Industrial structure change is an important cause of air pollution in China. Regarding the “Triple Play” reform (TPR) led by the Chinese government as a quasi-natural experiment of industrial convergence, this study constructs an analysis framework for the impact of industrial convergence on air pollution. Based on panel data at the Chinese city level from 2004 to 2016, this paper empirically examines the impact of industrial convergence on air pollution by using a difference-in-difference model, the propensity score matching method, and a mediation model. The results show that (1) the TPR significantly alleviates air pollution of cities; (2) the TPR reduces air pollution by improving green technological innovation and industrial structural upgrading; (3) the TPR significantly reduces air pollutants in the southern, coastal, non-resource-based cities and cities with higher technological absorption capacity, but its impact in the northern, inland, resource-based cities and cities with lower technological absorption capacity is not remarkable. This research provides feasible suggestions for the government to promote industrial convergence through deregulation policies and then reduce air pollution.
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Data availability
The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.
Notes
We show the difference of covariates between pilot cities and non-pilot cities before and after the PSM phase with Kernel matching and nearest-neighbor matching. The result shows that before Kernel or nearest-neighbor matching, there are significant differences between pilot cities and non-pilot cities, while after Kernel or near-neighbor matching, the differences among the two groups are insignificant.
References
Abareshi F, Sharifi Z, Hekmatshoar R, Fallahi M, Lari Najafi M, Ahmadi Asour A, Mortazavi F, Akrami R, Miri M, Dadvand P (2020) Association of exposure to air pollution and green space with ovarian reserve hormones levels. Environ Res 184:109342. https://doi.org/10.1016/j.envres.2020.109342
Al-Ayouty I, Hassaballa H, Rizk R (2017) Clean manufacturing industries and environmental quality: the case of Egypt. Environmental Development 21:19–25. https://doi.org/10.1016/j.envdev.2016.11.005
Apergis N, Eleftheriou S, Payne JE (2013) The relationship between international financial reporting standards, carbon emissions, and R&D expenditures: evidence from European manufacturing firms. Ecol Econ 88:57–66. https://doi.org/10.1016/j.ecolecon.2012.12.024
Aslan A, Altinoz B, Ozsolak B (2021) The link between urbanization and air pollution in Turkey: evidence from dynamic autoregressive distributed lag simulations. Environ Sci Pollut Res 28:52370–52380. https://doi.org/10.1007/s11356-021-14408-1
Balakrishnan U, Tsaneva M (2021) Air pollution and academic performance: evidence from India. World Dev 146:105553. https://doi.org/10.1016/j.worlddev.2021.105553
Baron RM, Kenny DA (1986) The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51:1173–1182. https://doi.org/10.1037//0022-3514.51.6.1173
Bieser J, Hilty L, (2018) Indirect effects of the digital transformation on environmental sustainability: methodological challenges in assessing the greenhouse gas abatement potential of ICT. EPiC Series in Computing, 68–81. https://doi.org/10.29007/lx7q
Bröring S, Martin Cloutier L, Leker J (2006) The front end of innovation in an era of industry convergence: evidence from nutraceuticals and functional foods. R&D Management 36:487–498. https://doi.org/10.1111/j.1467-9310.2006.00449.x
Bu M, Li S, Jiang L (2019) Foreign direct investment and energy intensity in China: firm-level evidence. Energy Economics 80:366–376. https://doi.org/10.1016/j.eneco.2019.01.003
Byun G, Cho JY, Lee BG (2009) Analyzing convergence of IT and energy industry based on social system framework. International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering 3:1256–1261. https://doi.org/10.5281/zenodo.1334141
Cai W, Li G (2018) The drivers of eco-innovation and its impact on performance: evidence from China. J Clean Prod 176:110–118. https://doi.org/10.1016/j.jclepro.2017.12.109
Çakar ND, Gedikli A, Erdoğan S, Yıldırım DÇ (2021) Exploring the nexus between human capital and environmental degradation: the case of EU countries. J Environ Manage 295:113057. https://doi.org/10.1016/j.jenvman.2021.113057
Cao L, Li L, Wu Y, Zeng W (2020) Does industrial convergence promote regional metabolism? Evidence from China. J Clean Prod 273:123010. https://doi.org/10.1016/j.jclepro.2020.123010
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 Manage 289:112520. https://doi.org/10.1016/j.jenvman.2021.112520
Chen S, Zhang D (2021) Impact of air pollution on labor productivity: evidence from prison factory data. China Economic Quarterly International 1:148–159. https://doi.org/10.1016/j.ceqi.2021.04.004
Chen J, Wang B, Huang S, Song M (2020a) The influence of increased population density in China on air pollution. Sci Total Environ 735:139456. https://doi.org/10.1016/j.scitotenv.2020.139456
Chen X, Zhang T, Jia F (2020b) Industry convergence as a strategy for achieving sustainable development of agricultural complex: the case of Sandun-Lanli in China. Bus Strateg Environ 29:2679–2694. https://doi.org/10.1002/bse.2529
Chen L, Li K, Chen S, Wang X, Tang L (2021) Industrial activity, energy structure, and environmental pollution in China. Energy Economics 104:105633. https://doi.org/10.1016/j.eneco.2021.105633
Chen L, (2007) On the motive, ecolution and effect in industrial convergence. Journal of Xihua University (Philosophy and Social Science), 69–73. https://doi.org/10.19642/j.issn.1672-8505.2007.04.016
Cho Y, Lee J, Kim T (2007) The impact of ICT investment and energy price on industrial electricity demand: dynamic growth model approach. Energy Policy 35:4730–4738. https://doi.org/10.1016/j.enpol.2007.03.030
Chon BS, Choi JH, Barnett GA, Danowski JA, Joo SH (2003) A structural analysis of media convergence: cross-industry mergers and acquisitions in the information industries. J Media Econ 16:141–157. https://doi.org/10.1207/S15327736ME1603_1
Cordier M, Uehara T, Baztan J, Jorgensen B, Yan H (2021) Plastic pollution and economic growth: the influence of corruption and lack of education. Ecol Econ 182:106930. https://doi.org/10.1016/j.ecolecon.2020.106930
Cotrozzi L (2020) Leaf demography and growth analysis to assess the impact of air pollution on plants: a case study on alfalfa exposed to a gradient of sulphur dioxide concentrations. Atmos Pollut Res 11:186–192. https://doi.org/10.1016/j.apr.2019.10.006
Crampes C, Hollander A, (2006) Triple play time. Communications & Strategies. https://core.ac.uk/download/pdf/6489485.pdf
Curran CS, Leker J (2011) Patent indicators for monitoring convergence – examples from NFF and ICT. Technol Forecast Soc Chang 78:256–273. https://doi.org/10.1016/j.techfore.2010.06.021
CUSB, (2016) China City Statistical Book. National Bureau of Statistics, http://www.stats.gov.cn/tjsj/tjcbw/201706/t20170613_1502795.html
Danowski JA, Choi JH, (1999) Convergence in the information industries: telecommunications, broadcasting, and data processing-1981–1996. Progress in communication sciences, 125–150
Dekleva S, Zadony M, (2015) Competition and strategic dilemmas in the telecommunications industry: making the triple play. Journal of Information Technology Teaching Cases 5, 45-55. https://doi.org/10.1057/jittc.2014.8
Diener A, Mudu P (2021) How can vegetation protect us from air pollution? A critical review on green spaces’ mitigation abilities for air-borne particles from a public health perspective - with implications for urban planning. Sci Total Environ 796:148605. https://doi.org/10.1016/j.scitotenv.2021.148605
Dong F, Yu B, Pan Y (2019) Examining the synergistic effect of CO2 emissions on PM2.5 emissions reduction: evidence from China. J Clean Prod 223:759–771. https://doi.org/10.1016/j.jclepro.2019.03.152
Dong F, Li J, Zhang X, Zhu J (2021a) Decoupling relationship between haze pollution and economic growth: a new decoupling index. Ecol Ind 129:107859. https://doi.org/10.1016/j.ecolind.2021.107859
Dong F, Li Y, Qin C, Sun J (2021b) How industrial convergence affects regional green development efficiency: a spatial conditional process analysis. J Environ Manage 300:113738. https://doi.org/10.1016/j.jenvman.2021.113738
Dong F, Li Y, Zhang X, Zhu J, Zheng L (2021c) How does industrial convergence affect the energy efficiency of manufacturing in newly industrialized countries? Fresh evidence from China. J Clean Prod 316:128316. https://doi.org/10.1016/j.jclepro.2021.128316
Fan JL, Zeng B, Hu JW, Zhang X, Wang H, (2020) The impact of climate change on residential energy consumption in urban and rural divided southern and northern China. Environmental Geochemistry and Health 42. https://doi.org/10.1007/s10653-019-00430-3
Feng T, Du H, Lin Z, Zuo J (2020a) Spatial spillover effects of environmental regulations on air pollution: evidence from urban agglomerations in China. J Environ Manage 272:110998. https://doi.org/10.1016/j.jenvman.2020.110998
Feng Y, Chen S, Failler P, (2020b) Productivity effect evaluation on market-type environmental regulation: a case study of SO2 emission trading pilot in China. International journal of environmental research and public health 17. https://doi.org/10.3390/ijerph17218027
Fiala P (2005) Information sharing in supply chains. Omega 33:419–423. https://doi.org/10.1016/j.omega.2004.07.006
Forester T, (1987) High-tech society: the story of the information technology revolution. Mit Press
Frank LD, Engelke P (2005) Multiple impacts of the built environment on public health: walkable places and the exposure to air pollution. Int Reg Sci Rev 28:193–216. https://doi.org/10.1177/0160017604273853
Gao Y, Zheng J (2022) Clearing the air through pipes? An evaluation of the air pollution reduction effect of China’s natural gas pipeline projects. Energy Policy 160:112649. https://doi.org/10.1016/j.enpol.2021.112649
General Office of the State Council, (1998) Notice on strengthening the construction and management of radio and television transmission networks, in: The State Council (Ed.), http://www.gov.cn/zhengce/content/2010-11/17/content_5973.htm
General Office of the State Council, (2010) Notice of the general office of the state council on issuing the list of the first batch of pilot areas (Cities) for the “Triple Play”, http://www.gov.cn/zhengce/content/2010-07/01/content_1138.htm
General Office of the State Council, (2011) Notice of the general office of the state council on issuing the list of the second batch of pilot areas (Cities) for the “Triple Play”, http://www.gov.cn/zwgk/2011-12/31/content_2034910.htm
Hacklin F, Wallin MW (2013) Convergence and interdisciplinarity in innovation management: a review, critique, and future directions. Serv Ind J 33:774–788. https://doi.org/10.1080/02642069.2013.740471
Han F, Li J (2020) Assessing impacts and determinants of China’s environmental protection tax on improving air quality at provincial level based on Bayesian statistics. J Environ Manage 271:111017. https://doi.org/10.1016/j.jenvman.2020.111017
Han Y, Zhang F, Huang L, Peng K, Wang X (2021) Does industrial upgrading promote eco-efficiency? - a panel space estimation based on Chinese evidence. Energy Policy 154:112286. https://doi.org/10.1016/j.enpol.2021.112286
Hao Y, Ye B, Gao M, Wang Z, Chen W, Xiao Z, Wu H (2020) How does ecology of finance affect financial constraints? Empirical evidence from Chinese listed energy- and pollution-intensive companies. J Clean Prod 246:119061. https://doi.org/10.1016/j.jclepro.2019.119061
Hao Y, Gai Z, Yan G, Wu H, Irfan M (2021) The spatial spillover effect and nonlinear relationship analysis between environmental decentralization, government corruption and air pollution: evidence from China. Sci Total Environ 763:144183. https://doi.org/10.1016/j.scitotenv.2020.144183
Heckman JJ, Ichimura H, Todd PE (1997) Matching as an econometric evaluation estimator: Evidence from evaluating a job training programme. Rev Econ Stud 64:605–654. https://doi.org/10.2307/2971733
Heckman JJ, Ichimura H, Todd P (1998) Matching as an econometric evaluation estimator. Rev Econ Stud 65:261–294. https://doi.org/10.1111/1467-937X.00044
Hu Y, Ren S, Wang Y, Chen X (2020) Can carbon emission trading scheme achieve energy conservation and emission reduction? Evidence from the industrial sector in China. Energy Economics 85:104590. https://doi.org/10.1016/j.eneco.2019.104590
Huang G, Zhang J, Yu J, Shi X (2020) Impact of transportation infrastructure on industrial pollution in Chinese cities: a spatial econometric analysis. Energy Economics 92:104973. https://doi.org/10.1016/j.eneco.2020.104973
Iosifidis P (2011) Growing pains? The transition to digital television in Europe. Eur J Commun 26:3–17. https://doi.org/10.1177/0267323110394562
Karvonen M, Kässi T (2013) Patent citations as a tool for analysing the early stages of convergence. Technol Forecast Soc Chang 80:1094–1107. https://doi.org/10.1016/j.techfore.2012.05.006
Khan M (2020) CO2 emissions and sustainable economic development: new evidence on the role of human capital. Sustain Dev 28:1279–1288. https://doi.org/10.1002/sd.2083
Khan Z, Ali S, Dong K, Li RYM (2021) How does fiscal decentralization affect CO2 emissions? The roles of institutions and human capital. Energy Economics 94:105060. https://doi.org/10.1016/j.eneco.2020.105060
Khanna N, Fridley D, Hong L (2014) China’s pilot low-carbon city initiative: a comparative assessment of national goals and local plans. Sustain Cities Soc 12:110–121. https://doi.org/10.1016/j.scs.2014.03.005
Kim N, Lee H, Kim W, Lee H, Suh JH (2015) Dynamic patterns of industry convergence: evidence from a large amount of unstructured data. Res Policy 44:1734–1748. https://doi.org/10.1016/j.respol.2015.02.001
Kummerow M, Chan Lun J (2005) Information and communication technology in the real estate industry: productivity, industry structure and market efficiency. Telecommunications Policy 29:173–190. https://doi.org/10.1016/j.telpol.2004.12.003
Kwon O, An Y, Kim M, Lee C (2019) Anticipating technology-driven industry convergence: evidence from large-scale patent analysis. Technology Analysis & Strategic Management 32:1–16. https://doi.org/10.1080/09537325.2019.1661374
Li Q, Zeng FE, Liu S, Yang M, Xu F (2021b) The effects of China’s sustainable development policy for resource-based cities on local industrial transformation. Resour Policy 71:101940. https://doi.org/10.1016/j.resourpol.2020.101940
Li J, Massa M, Zhang H, Zhang J, (2019) Air pollution, behavioral bias, and the disposition effect in China. Journal of Financial Economics. https://doi.org/10.1016/j.jfineco.2019.09.003
Li G, Zhang H, Hu M, He J, Yang W, Zhao H, Zhu Z, Zhu J, Huang F, (2021a) Associations of combined exposures to ambient temperature, air pollution, and green space with hypertension in rural areas of Anhui Province, China: a cross-sectional study. Environmental Research, 112370. https://doi.org/10.1016/j.envres.2021.112370
Liang D, Wang YQ, Wang YJ, Ma C (2019) National air pollution distribution in China and related geographic, gaseous pollutant, and socio-economic factors. Environ Pollut 250:998–1009. https://doi.org/10.1016/j.envpol.2019.03.075
Likus-Cieślik J, Socha J, Gruba P, Pietrzykowski M (2020) The current state of environmental pollution with sulfur dioxide (SO2) in Poland based on sulfur concentration in Scots pine needles. Environ Pollut 258:113559. https://doi.org/10.1016/j.envpol.2019.113559
Liu J, Cheng Z, Zhang H (2017) Does industrial agglomeration promote the increase of energy efficiency in China? J Clean Prod 164:30–37. https://doi.org/10.1016/j.jclepro.2017.06.179
Liu C, Hong T, Li H, Wang L (2018) From club convergence of per capita industrial pollutant emissions to industrial transfer effects: an empirical study across 285 cities in China. Energy Policy 121:300–313. https://doi.org/10.1016/j.enpol.2018.06.039
Liu X, Sun T, Feng Q (2020) Dynamic spatial spillover effect of urbanization on environmental pollution in China considering the inertia characteristics of environmental pollution. Sustain Cities Soc 53:101903. https://doi.org/10.1016/j.scs.2019.101903
Liu X, Hadiatullah H, Tai P, Xu Y, Zhang X, Schnelle-Kreis J, Schloter-Hai B, Zimmermann R (2021) Air pollution in Germany: spatio-temporal variations and their driving factors based on continuous data from 2008 to 2018. Environ Pollut 276:116732. https://doi.org/10.1016/j.envpol.2021.116732
Lu C, Qiao J, Chang J (2017) Herfindahl-Hirschman Index based performance analysis on the convergence development. Clust Comput 20:121–129. https://doi.org/10.1007/s10586-017-0737-3
Luo F, Zeng J, (2011) Service development and business mode based on the triple play in China, 2011 International Conference on Business Management and Electronic Information, pp. 71–74
Mangones SC, Jaramillo P, Rojas NY, Fischbeck P (2020) Air pollution emission effects of changes in transport supply: the case of Bogotá, Colombia. Environ Sci Pollut Res 27:35971–35978. https://doi.org/10.1007/s11356-020-08481-1
Marshall JD, McKone TE, Deakin E, Nazaroff WW (2005) Inhalation of motor vehicle emissions: effects of urban population and land area. Atmos Environ 39:283–295. https://doi.org/10.1016/j.atmosenv.2004.09.059
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
Miles IAN (2000) Services innovation: coming of age in the knowledge-based economy. Int J Innov Manag 04:371–389. https://doi.org/10.1142/S1363919600000202
Ministry of Ecology and Environment of the People’s Republic of China, (2021) China Ecological Environment Report, https://www.mee.gov.cn/hjzl/sthjzk/
Nie NH, Erbring L, (2002) Internet and society: a preliminary report. IT & society 1, 275–283. http://143.107.236.240/documentos/textos/cultura_digital/tics_arq_urb/internet_society%20report.pdf
Peng J, Zhang Y, Xie R, Liu Y (2018) Analysis of driving factors on China’s air pollution emissions from the view of critical supply chains. J Clean Prod 203:197–209. https://doi.org/10.1016/j.jclepro.2018.08.219
Preschitschek N, Curran CS, Leker J, (2011) The importance of access to resources in a setting of industry convergence: the case of agriculture and chemistry, 2011 Proceedings of PICMET'11: Technology Management in the Energy Smart World (PICMET). IEEE, pp. 1–9
Romuald Kinda S, (2011) Education, convergence and carbon dioxide growth per capita : research paper. African Journal of Science, Technology, Innovation and Development 3, 65–85. https://doi.org/10.10520/EJC10574
Rosenberg N (1963) Technological Change in the Machine Tool Industry, 1840–1910. J Econ Hist 23:414–443. https://doi.org/10.1017/S0022050700109155
Seo S (2007) Triple-Play Competition in the U.S. Telecommunications Industry: Exploring Cable Operators’ Adoption Pattern of Triple-Bundled Services. Int J Media Manag 9:1–8. https://doi.org/10.1080/14241270701193359
Shi Y, Bilal M, Ho HC, Omar A, (2020) Urbanization and regional air pollution across South Asian developing countries – a nationwide land use regression for ambient PM2.5 assessment in Pakistan. Environmental Pollution 266, 115145. https://doi.org/10.1016/j.envpol.2020.115145
State Council of China, (2002) Technical policy for the prevention and control of coal-fired sulfur dioxide emission pollution, http://www.gov.cn/gongbao/content/2003/content_62199.htm
State Council of China, (2007) Energy conservation and protection of the environment, http://www.npc.gov.cn/wxzl/gongbao/2007-10/19/content_5374638.htm
Sun X, Zhu Q (2010) On evaluation of Japanese information and communication policy and its inspiration to China (IV). Information Science 28:1746–1753
Sun Y, Li Y, Yu T, Zhang X, Liu L, Zhang P (2021) Resource extraction, environmental pollution and economic development: evidence from prefecture-level cities in China. Resour Policy 74:102330. https://doi.org/10.1016/j.resourpol.2021.102330
Wan C, (2007) Philosophical consideration of science technicalization and technology industrialization. Journal of Northeastern University (Social Science) 4
Wang P, Yao J, Wang G, Hao F, Shrestha S, Xue B, Xie G, Peng Y (2019) Exploring the application of artificial intelligence technology for identification of water pollution characteristics and tracing the source of water quality pollutants. Sci Total Environ 693:133440. https://doi.org/10.1016/j.scitotenv.2019.07.246
Weenen TC, Ramezanpour B, Pronker ES, Commandeur H, Claassen E (2013) Food-pharma convergence in medical nutrition - best of both worlds? PLoS ONE 8:11. https://doi.org/10.1371/journal.pone.0082609
World Bank, (2021) PM2.5 air pollution, mean annual exposure
Wu L, Sun L, Qi P, Ren X, Sun X (2021) Energy endowment, industrial structure upgrading, and CO2 emissions in China: revisiting resource curse in the context of carbon emissions. Resour Policy 74:102329. https://doi.org/10.1016/j.resourpol.2021.102329
Xing W, Ye X, Kui L (2011) Measuring convergence of China’s ICT industry: an input–output analysis. Telecommunications Policy 35:301–313. https://doi.org/10.1016/j.telpol.2011.02.003
Xu B, Lin B (2018) What cause large regional differences in PM2.5 pollutions in China? Evidence from quantile regression model. J Clean Prod 174:447–461. https://doi.org/10.1016/j.jclepro.2017.11.008
Xu L, Fan M, Yang L, Shao S (2021) Heterogeneous green innovations and carbon emission performance: evidence at China’s city level. Energy Economics 99:105269. https://doi.org/10.1016/j.eneco.2021.105269
Yang J, Cai W, Ma M, Li L, Liu C, Ma X, Li L, Chen X (2020) Driving forces of China’s CO2 emissions from energy consumption based on Kaya-LMDI methods. Sci Total Environ 711:134569. https://doi.org/10.1016/j.scitotenv.2019.134569
Yang X, Wu H, Ren S, Ran Q, Zhang J (2021b) Does the development of the internet contribute to air pollution control in China? Mechanism discussion and empirical test. Struct Chang Econ Dyn 56:207–224. https://doi.org/10.1016/j.strueco.2020.12.001
Yang Q, Gao D, Song D, Li Y, (2021a) Environmental regulation, pollution reduction and green innovation: the case of the Chinese Water Ecological Civilization City Pilot policy. Economic Systems, 100911. https://doi.org/10.1016/j.ecosys.2021.100911
Yang Z, Yang C, MI F, (2021c) Industrial covergence, innovation and staff wage - quasi-experiment based on “Triple Play”. Economic Survey. https://doi.org/10.15931/j.cnki.1006-1096.20210604.005
Zhang H, Shen L, Zhong S, Elshkaki A (2020a) Economic structure transformation and low-carbon development in energy-rich cities: the case of the contiguous area of Shanxi and Shaanxi Provinces, and inner Mongolia Autonomous Region of China. Sustainability 12:1875. https://doi.org/10.3390/su12051875
Zhang M, Sun X, Wang W (2020b) Study on the effect of environmental regulations and industrial structure on haze pollution in China from the dual perspective of independence and linkage. J Clean Prod 256:120748. https://doi.org/10.1016/j.jclepro.2020.120748
Zhang G, Jia Y, Su B, Xiu J (2021a) Environmental regulation, economic development and air pollution in the cities of China: spatial econometric analysis based on policy scoring and satellite data. J Clean Prod 328:129496. https://doi.org/10.1016/j.jclepro.2021.129496
Zhang M, Liu X, Ding Y (2021b) Assessing the influence of urban transportation infrastructure construction on haze pollution in China: a case study of Beijing-Tianjin-Hebei region. Environ Impact Assess Rev 87:106547. https://doi.org/10.1016/j.eiar.2020.106547
Zhao Y, Zhang S (2015) Analysis of the effects, motivations and difficulties of industrial convergence-a case study of China’s promotion of “Triple Play.” Macroeconomics 11:56–62
Zheng Y, Peng J, Xiao J, Su P, Li S (2020) Industrial structure transformation and provincial heterogeneity characteristics evolution of air pollution: evidence of a threshold effect from China. Atmos Pollut Res 11:598–609. https://doi.org/10.1016/j.apr.2019.12.011
Zhou G (2006) France’s way of “triple play.” China Telecommunications Trade 71:56–58
Zhou X, Zhou D, Wang Q (2018) How does information and communication technology affect China’s energy intensity? A three-tier structural decomposition analysis. Energy 151:748–759. https://doi.org/10.1016/j.energy.2018.03.115
Zhou M, Wang B, Chen Z (2020) Has the anti-corruption campaign decreased air pollution in China? Energy Economics 91:104878. https://doi.org/10.1016/j.eneco.2020.104878
Zhu W, Zhu Y, Lin H, Yu Y (2021) Technology progress bias, industrial structure adjustment, and regional industrial economic growth motivation - research on regional industrial transformation and upgrading based on the effect of learning by doing. Technol Forecast Soc Chang 170:120928. https://doi.org/10.1016/j.techfore.2021.120928
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Yang, Z., Wang, J. Quantifying the impacts of industrial convergence on air pollution: a quasi-experimental analysis of evidence from China’s “Triple Play” reform. Environ Sci Pollut Res 29, 40964–40983 (2022). https://doi.org/10.1007/s11356-021-18330-4
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DOI: https://doi.org/10.1007/s11356-021-18330-4
Keywords
- Air pollution
- Industrial convergence
- “Triple Play” reform
- Green technological innovation
- Industrial structural upgrading