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Sustainable digital transformation: the nexus between ICT and global green economic growth

    Yiwen Li Affiliation
    ; Xia Li Affiliation
    ; Xiaojuan Wang Affiliation
    ; Chao Feng Affiliation

Abstract

As a new engine to promote global economic and social development, information and communication technology (ICT) plays a key role in the field of modern economy. The aim of this paper is to investigate the nexus between ICT and green total factor productivity (GTFP) on a global scale. An extended data envelopment analysis model (DEA), named WINDOWS-US-SBM, was constructed for calculating the GTFP of 65 countries from 2007 to 2019. This paper empirically analyzes the spatial effect and the transmission mechanism of ICT development on GTFP in countries from different income groups. The results show a prominent imbalance between ICT development and GTFP in various countries. ICT can effectively improve GTFP and play a crucial role in lower middle-income countries. The development of ICT can improve GTFP through technological progress, energy intensity, and trade openness. This paper is helpful to provide policy guidance for the development of ICT and give a new perspective of global green development.


First published online 20 May 2024

Keyword : WINDOWS-US-SBM model, ICT development, spatial Durbin model, threshold model, global green development

How to Cite
Li, Y., Li, X., Wang, X., & Feng, C. (2024). Sustainable digital transformation: the nexus between ICT and global green economic growth. Technological and Economic Development of Economy, 30(5), 1275–1305. https://doi.org/10.3846/tede.2024.21050
Published in Issue
Jul 9, 2024
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Addison, T., & Rahman, A. (2005). Capacities to globalize: Why are some countries more globalized than others? In G. W. Kolodko (Ed.), Globalization and social stress (pp. 4–5). Nova Science Publishers.

Amri, F., Zaied, Y. B., & Lahouel, B. B. (2019). ICT, total factor productivity, and carbon dioxide emissions in Tunisia. Technological Forecasting and Social Change, 146, 212–217. https://doi.org/10.1016/j.techfore.2019.05.028

Androutsos, A. (2011). Access link bandwidth externalities and endogenous internet growth: A long run economic approach. International Journal of Network Management, 21(1), 21–44. https://doi.org/10.1002/nem.771

Asmild, M., Paradi, J. C., Aggarwall, V., & Schaffnit, C. (2004). Combining DEA window analysis with the malmquist index approach in a study of the Canadian banking industry. Journal of Productivity Analysis, 21(1), 67–89. https://doi.org/10.1023/B:PROD.0000012453.91326.ec

Asongu, S. A., Nwachukwu, J.C., & Pyke, C. (2019). The comparative economics of ICT, environmental degradation and inclusive human development in Sub-Saharan Africa. Social Indicators Research, 143, 1271–1297. https://doi.org/10.1007/s11205-018-2009-x

Bartel, A., Ichniowski, C., & Shaw, K. (2007). How does information technology affect productivity? Plant-level comparisons of product innovation, process improvement, and worker skills. Quarterly Journal of Economics, 122(4), 1721–1758. https://doi.org/10.1162/qjec.2007.122.4.1721

Burridge, P. (1981). Testing for a common factor in a spatial auto regression model. Environment and Planning A: Economy and Space, 13(7), 795–800. https://doi.org/10.1068/a130795

Bollou, F., & Ngwenyama, O. (2008). Are ICT investments paying off in Africa? An analysis of total factor productivity in six West African countries from 1995 to 2002. Information Technology for Development, 14(4), 294–307. https://doi.org/10.1002/itdj.20089

Cárdenas Rodríguez, M., Haščič, I., & Souchier, M. (2018). Environmentally adjusted multifactor productivity: Methodology and empirical results for OECD and G20 countries. Ecological Economics, 153, 147–160. https://doi.org/10.1016/j.ecolecon.2018.06.015

Cecere, G., Corrocher, N., Gossart, C., & Ozman, M. (2014). Technological pervasiveness and variety of innovators in green ICT: A patent-based analysis. Research Policy, 43(10), 1827–1839. https://doi.org/10.1016/j.respol.2014.06.004

Charnes, A., Clark, C. T., & Cooper, W. W., B. (1985). A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the U.S. air forces. Annals of Operations Research, 2, 95–112. https://doi.org/10.1007/BF01874734

Cheng, Z., Li, L., & Liu, J. (2017). Identifying the spatial effects and driving factors of urban PM2.5 pollution in China. Ecological Indicators, 82, 61–75. https://doi.org/10.1016/j.ecolind.2017.06.043

Cooper, W. W., Seiford, L. M., & Tone, K. (2006). Introduction to data envelopment analysis and its uses: With DEA-Solver software and references. Springer. https://doi.org/10.1007/0-387-29122-9

Crişan, D. A., Preda, A. M., Coculescu, C., & Altӑr-Samuel A. N. (2010). Some aspects concerning the correlation between ICT and innovation in Europe. Annals of the University of Oradea Economic Science, 1(2), 1183–1189.

Danish. (2019). Effects of information and communication technology and real income on CO2 emissions: The experience of countries along Belt and Road. Telematics and Informatics, 45, Article 101300. https://doi.org/10.1016/j.tele.2019.101300

Dedrick, J., Kraemer, K. L., & Shih, E. (2013). Information technology and productivity in developed and developing countries. Journal of Management Information Systems, 30(1), 97–122. https://doi.org/10.2753/MIS0742-1222300103

Elhorst, J. P. (2012). Dynamic spatial panels: Models, methods, and inferences. Journal of Geographical Systems, 14, 5–28. https://doi.org/10.1007/s10109-011-0158-4

Elhorst, J. P. (2014). Spatial econometrics: From cross-sectional data to spatial panels. Springer. https://doi.org/10.1007/978-3-642-40340-8

Elliot, S. (2011). Transdisciplinary perspectives on environmental sustainability: A resource base and framework for IT-enabled business transformation. Management Information Systems Quarterly, 35(1), 197–236. https://doi.org/10.2307/23043495

Farouq, I. S., Sambo, I. S., Ahmad, A. U., Jakada, A. H., & Danmaraya, I. A. (2021). Does financial globalization uncertainty affect CO2 emissions? Empirical evidence from some selected SSA countries. Quantitative Finance and Economics, 5(2), 247–263. https://doi.org/10.3934/QFE.2021011

Feng, C., Huang, J. B., & Wang, M. (2018). Analysis of green total-factor productivity in China’s regional metal industry: A meta-frontier approach. Resources Policy, 58, 219–229. https://doi.org/10.1016/j.resourpol.2018.05.008

Fernández-Portillo, A., Almodóvar-González, M., & Hernández-Mogollón, R. (2020). Impact of ICT development on economic growth. A study of OECD European union countries. Technology in Society, 63, Article 101420. https://doi.org/10.1016/j.techsoc.2020.101420

Feuerriegel, S., Bodenbenner, P., & Neumann, D. (2016). Value and granularity of ICT and smart meter data in demand response systems. Energy Economics, 54, 1–10. https://doi.org/10.1016/j.eneco.2015.11.016

Freire-González, J., Vivanco, F. D., & Puig-Ventosa, I. (2017). Economic structure and energy savings from energy efficiency in households. Ecological Economics, 131, 12–20. https://doi.org/10.1016/j.ecolecon.2016.08.023

Gholami, R., Sulaiman, A., Ramayah, T., & Molla, A. (2013). Senior managers’ perception on green information systems (IS) adoption and environmental performance: Results from a field survey. Information & Management, 50(7), 431–438. https://doi.org/10.1016/j.im.2013.01.004

Gouvea, R., Kapelianis, D., & Kassicieh, S. (2018). Assessing the nexus of sustainability and information & communications technology. Technological Forecasting and Social Change, 130, 39–44. https://doi.org/10.1016/j.techfore.2017.07.023

Greenstein, S. (2020). The basic economics of internet infrastructure. Journal of Economic Perspectives, 34(2), 192–214. https://doi.org/10.1257/jep.34.2.192

Liobikienė, G., & Butkus, M. (2019). Scale, composition, and technique effects through which the economic growth, foreign direct investment, urbanization, and trade affect greenhouse gas emissions. Renewable Energy, 132, 1310–1322. https://doi.org/10.1016/j.renene.2018.09.032

Halkos, G. E., & Polemis, M. L. (2018). The impact of economic growth on environmental efficiency of the electricity sector: A hybrid window DEA methodology for the USA. Journal of Environmental Management, 211, 334–346. https://doi.org/10.1016/j.jenvman.2018.01.067

Haldar, A., Sucharita, S., Dash, D. P., Sethi, N., & Chandra Padhan, P. (2023). The effects of ICT, electricity consumption, innovation and renewable power generation on economic growth: An income level analysis for the emerging economies. Journal of Cleaner Production, 384, Article 135607. https://doi.org/10.1016/j.jclepro.2022.135607

Hao, Y., & Liu, Y. M. (2016). The influential factors of urban PM2.5, concentrations in China: A spatial econometric analysis. Journal of Cleaner Production, 112, 1443–1453. https://doi.org/10.1016/j.jclepro.2015.05.005

Hansen, B. E. (1999). Threshold effects in non-dynamic panels: Estimation, testing, and inference. Journal of Econometrics, 93(2), 345–368. https://doi.org/10.1016/S0304-4076(99)00025-1

He, Z. X., Xu, S. C., Shen, W. X., Long, R. Y., & Chen, H. (2017). Impact of urbanization on energy related CO2 emission at different development levels: Regional difference in China based on panel estimation. Journal of Cleaner Production, 140, 1719–1730. https://doi.org/10.1016/j.jclepro.2016.08.155

Higón, D. A., Gholami, R., & Shirazi, F. (2017). ICT and environmental sustainability: A global perspective. Telematics and Informatics, 34(4), 85–95. https://doi.org/10.1016/j.tele.2017.01.001

Hoffert, M. I., Caldeira, K., Benford, G., Criswell, D. R., Green, C., Herzog, H., Jain, A. K., Kheshgi, H. S., Lackner, K. S., & Lewis, J. S. (2002). Advanced technology paths to global climate stability: Energy for a greenhouse planet. Science, 298(5595), 981–987. https://doi.org/10.1126/science.1072357

Houghton, J. W. (2015). ICT, the environment, and climate change. In The international encyclopedia of digital communication and society (pp. 39–60). Wiley. https://doi.org/10.1002/9781118767771.wbiedcs015

Huang, J. B., Liu, C. H., Chen, S. X., Huang, X., & Hao, Y. (2019). The convergence characteristics of China’s carbon intensity: Evidence from a dynamic spatial panel approach. Science of the Total Environment, 668, 685–695. https://doi.org/10.1016/j.scitotenv.2019.02.413

Huang, X., Feng, C., Qin, J., Wang, X., & Zhang, T. (2022). Measuring China’s agricultural green total factor productivity and its drivers during 1998–2019. Science of the Total Environment, 829, Article 154477. https://doi.org/10.1016/j.scitotenv.2022.154477

Ishida, H. (2015). The effect of ICT development on economic growth and energy consumption in Japan. Telematics and Informatics, 32(1), 79–88. https://doi.org/10.1016/j.tele.2014.04.003

Jin, W., Zhang, H., Liu, S., & Zhang, H. (2019). Technological innovation, environmental regulation, and green total factor efficiency of industrial water resources. Journal of Cleaner Production, 211, 61–69. https://doi.org/10.1016/j.jclepro.2018.11.172

Jung, J., & López-Bazo, E. (2020). On the regional impact of broadband on productivity: The case of Brazil. Telecommunications Policy, 44(1), Article 101826. https://doi.org/10.1016/j.telpol.2019.05.002

Koseoglu, A., Yucel, A.G., & Ulucak, R. (2022). Green innovation and ecological footprint relationship for a sustainable development: Evidence from top 20 green innovator countries. Sustainable Development, 30(5), 976–988. https://doi.org/10.1002/sd.2294

Khattak, S.I., Ahmad, M., Khan, Z.U., & Khan, A. (2020). Exploring the impact of innovation, renewable energy consumption, and income on CO2 emissions: New evidence from the BRICS economies. Environmental Science and Pollution Research, 27, 13866–13881. https://doi.org/10.1007/s11356-020-07876-4

Kremer, S., Bick, A., & Nautz, D. (2013). Inflation and growth: New evidence from a dynamic panel threshold analysis. Empirical Economics, 44, 861–878. https://doi.org/10.1007/s00181-012-0553-9

Lahouel, B. B., Taleb, L., Zaied, B. Y., & Managi, S. (2021). Does ICT change the relationship between total factor productivity and CO2 emissions? Evidence based on a nonlinear model. Energy Economics, 101, Article 105406. https://doi.org/10.1016/j.eneco.2021.105406

Lange, S., Pohl, J., & Santarius, T. (2020). Digitalization and energy consumption. Does ICT reduce energy demand? Ecological Economics, 176, Article 106760. https://doi.org/10.1016/j.ecolecon.2020.106760

Lau, L. S., Choong, C. K., & Eng, Y. K. (2014). Investigation of the environmental Kuznets curve for carbon emissions in Malaysia: Do foreign direct investment and trade matter? Energy Policy, 68, 490–497. https://doi.org/10.1016/j.enpol.2014.01.002

LeSage, J. P., & Pace, R. K. (2009). Introduction to spatial econometrics (1st ed.). CRC Press. https://doi.org/10.1201/9781420064254

Li, M., Li, C., & Zhang, M. (2018a). Exploring the spatial spillover effects of industrialization and urbanization factors on pollutants emissions in China’s Huang-Huai Hai region. Journal of Cleaner Production, 195, 154–162. https://doi.org/10.1016/j.jclepro.2018.05.186

Li, K., Fang, L.T., & He, L. R. (2018b). How urbanization affects China’s energy efficiency: A spatial econometric analysis. Journal of Cleaner Production, 200, 1130–1141. https://doi.org/10.1016/j.jclepro.2018.07.234

Lin, F. (2015). Estimating the effect of the internet on international trade. The Journal of International Trade & Economic Development, 24(3), 409–428. https://doi.org/10.1080/09638199.2014.881906

Liu, G., Wang, B., & Zhang, N. (2016). A coin has Two Sides: Which one is driving China’s green TFP growth? Economic Systems, 40(3), 481–498. https://doi.org/10.1016/j.ecosys.2015.12.004

Liddle, B., & Lung, S. (2010). Age-structure, urbanization, and climate change in developed countries: Revisiting STIRPAT for disaggregated population and consumption-related environmental impacts. Population & Environment, 31, 317–343. https://doi.org/10.1007/s11111-010-0101-5

Majeed, M. T. (2018). Information and communication technology (ICT) and environmental sustainability in developed and developing countries. Pakistan Journal of Commerce and Social Sciences, 12(3), 758–783. https://www.jespk.net/publications/4314.pdf

MacKinnon, D. P., Krull, J. L., & Lockwood, C. M. (2000). Equivalence of the mediation, confounding and suppression effect. Prevention Science, 1(4), 173–181. https://doi.org/10.1023/A:1026595011371

Melville, N. P. (2010). Information systems innovation for environmental sustainability. Management Information Systems Quarterly, 34(1), 1–21. https://doi.org/10.2307/20721412

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. Environmental Science and Pollution Research, 29, 79497–79515. 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. Resources, Conservation and Recycling, 126, 153–161. https://doi.org/10.1016/j.resconrec.2017.07.019

Moyer, J. D., & Hughes, B. B. (2012). ICTs: DO they contribute to increased carbon emissions? Technological Forecasting & Social Change, 79(5), 919–931. https://doi.org/10.1016/j.techfore.2011.12.005

Nasreen, S., & Anwar, S. (2014). Causal relationship between trade openness, economic growth and energy consumption: A panel data analysis of Asian countries. Energy Policy, 69, 82–91. https://doi.org/10.1016/j.enpol.2014.02.009

Pan, H., Zhang, H., & Zhang, X. (2013). China’s provincial industrial energy efficiency and its determinants. Mathematical and Computer Modelling, 58(5–6), 1032–1039. https://doi.org/10.1016/j.mcm.2012.09.006

Pejovic, V., Johnson, D. L., Zheleva, M., Belding, E., Parks, L., & Van Stam, G. (2012). Broadband adoption| The bandwidth divide: Obstacles to efficient broadband adoption in rural sub-Saharan Africa. International Journal of Communication, 6, 1–25. https://ijoc.org/index.php/ijoc/article/view/1795/807

Plepys, A. (2002). The grey side of ICT. Environmental Impact Assessment Review, 22 (5), 509–523. https://doi.org/10.1016/S0195-9255(02)00025-2

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. Journal of Environmental Management, 287, Article 112282. https://doi.org/10.1016/j.jenvman.2021.112282

Shahbaz, M., Solarin, S. A., & Ozturk, I. (2016a). Environmental Kuznets curve hypothesis and the role of globalization in selected African countries. Ecological Indicators, 67, 623–636. https://doi.org/10.1016/j.ecolind.2016.03.024

Shahbaz, M., Loganathan, N., Muzaffar, A. T., Ahmed, K., & Jabran, M. A. (2016b). How urbanization affects CO2 emissions in Malaysia? The application of STIRPAT model. Renewable & Sustainable Energy Reviews, 57, 83–93. https://doi.org/10.1016/j.rser.2015.12.096

Song, M., Zhang, L., An, Q., Wang, Z., & Li, Z. (2013). Statistical analysis and combination forecasting of environmental efficiency and its influential factors since China entered the WTO: 2002–2010–2012. Journal of Cleaner Production, 42, 42–51. https://doi.org/10.1016/j.jclepro.2012.11.010

Su, Y., & Gao, X. (2022). Revealing the effectiveness of green technological progress and financial innovation on green economic growth: The role of environmental regulation. Environmental Science and Pollution Research, 29, 72991–73000. https://doi.org/10.1007/s11356-022-20978-5

Su, Y., Li, Z., & Yang, C. (2021). Spatial interaction spillover effects between digital financial technology and urban ecological efficiency in China: An empirical study based on spatial simultaneous equations. International Journal of Environmental Research and Public Health, 18(16), Article 8535. https://doi.org/10.3390/ijerph18168535

Sueyoshi, T., Yuan, Y., & Goto, M. (2017). A literature study for DEA applied to energy and environment. Energy Economics, 62, 104–124. https://doi.org/10.1016/j.eneco.2016.11.006

Sun, X., Jiang, K., Cui, Z., Xu, J., & Zhao, X. (2023). Exploring the impact of the digital economy on green total factor productivity in China: A spatial econometric perspective. Frontiers in Environmental Science, 10, Article 1097944. https://doi.org/10.3389/fenvs.2022.1097944

Sun, Y., Ding, W., Yang, Z., Yang, G., & Du, J. (2020). Measuring China’s regional inclusive green growth. Science of the Total Environment, 713, Article 136367. https://doi.org/10.1016/j.scitotenv.2019.136367

Thompson, H. G., & Garbacz, C. (2011). Economic impacts of mobile versus fixed broadband. Telecommunications Policy, 35(11), 999–1009. https://doi.org/10.1016/j.telpol.2011.07.004

Tian, Y., & Feng, C. (2022). The internal-structural effects of different types of environmental regulations on China’s green total-factor productivity. Energy Economics, 113, Article 106246. https://doi.org/10.1016/j.eneco.2022.106246

Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498–509. https://doi.org/10.1016/S0377-2217(99)00407-5

Tone, K. (2002). A slacks-based measure of super-efficiency in data envelopment analysis. European Journal of Operational Research, 143(1), 32–41. https://doi.org/10.1016/S0377-2217(01)00324-1

Tzeremes, P., Dogan, E., & Alavijeh, N. K. (2023). Analyzing the nexus between energy transition, environment and ICT: A step towards COP26 targets. Journal of Environmental Management, 326, Article 116598. https://doi.org/10.1016/j.jenvman.2022.116598

Vemuri, V. K., & Siddiqi, S. (2009). Impact of commercialization of the internet on international trade: A panel study using the extended gravity model. The International Trade Journal, 23(4), 458–484. https://doi.org/10.1080/08853900903223792

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. Journal of Cleaner Production, 288, Article 125624. https://doi.org/10.1016/j.jclepro.2020.125624

Wang, M., & Feng, C. (2021). Revealing the pattern and evolution of global green development between different income groups: A global meta-frontier by-production technology approach. Environmental Impact Assessment Review, 89, Article 106600. https://doi.org/10.1016/j.eiar.2021.106600

Wang, M. L., Ntim, V. S., Yang, J. M., Zheng, Q. J., & Geng, L. M. (2022). Effect of institutional quality and foreign direct investment on economic growth and environmental quality: Evidence from African countries. Economic Research-Ekonomska Istraživanja, 35(1), 4065–4091. https://doi.org/10.1080/1331677X.2021.2010112

Wang, Y., Zhang, C., Lu, A., Li, L., He, Y. M., ToJo, J., & Zhu, X. D. (2017). A disaggregated analysis of the Environmental Kuznets curve for industrial CO2 emissions in China. Applied Energy, 190, 172–180. https://doi.org/10.1016/j.apenergy.2016.12.109

Watson, R. T., Corbett, J., Boudreau, M. C., & Webster, J. (2012). An information strategy for environmental sustainability. Communications of the ACM, 55(7), 28–30. https://doi.org/10.1145/2209249.2209261

Wu, H., Ren, S., Yan, G., & Hao, Y. (2020). Does China’s outward direct investment improve green total factor productivity in the “Belt and Road” countries? Evidence from dynamic threshold panel model analysis. Journal of Environmental Management, 275, Article 111295. https://doi.org/10.1016/j.jenvman.2020.111295

Wu, J., Xia, Q., & Li, Z. (2022). Green innovation and enterprise green total factor productivity at a micro level: A perspective of technical distance. Journal of Cleaner Production, 344, Article 131070. https://doi.org/10.1016/j.jclepro.2022.131070

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. Sustainable Production and Consumption, 28, 91–104. https://doi.org/10.1016/j.spc.2021.03.036

Xu, S. C., Miao, Y. M., Gao, C., Long, R. Y., Chen, H., Zhao, B., & Wang, S. X. (2019). Regional differences in impacts of economic growth and urbanization on air pollutants in China based on provincial panel estimation. Journal of Cleaner Production, 208, 340–352. https://doi.org/10.1016/j.jclepro.2018.10.114

Yu, B. (2022). The impact of the internet on industrial green productivity: Evidence from China. Technological Forecasting and Social Change, 177, Article 121527. https://doi.org/10.1016/j.techfore.2022.121527

Zhang, J., Lu, G., Skitmore, M., & Ballesteros-Pérez, P. (2021). A critical review of the current research mainstreams and the influencing factors of green total factor productivity. Environmental Science and Pollution Research, 28(27), 35392–35405. https://doi.org/10.1007/s11356-021-14467-4

Zhang, L., Saydaliev, H. B., & Ma, X. (2022). Does green finance investment and technological innovation improve renewable energy efficiency and sustainable development goals. Renewable Energy, 193, 991–1000. https://doi.org/10.1016/j.renene.2022.04.161

Zhang, Z., Zhu, K., & Hewings, G. J. D. (2017). A multi-regional input-output analysis of the pollution haven hypothesis from the perspective of global production fragmentation. Energy Economics, 64, 13–23. https://doi.org/10.1016/j.eneco.2017.03.007

Zhang, W. W., Sharp, B., & Xu, S. C. (2019). Does economic growth and energy consumption drive environmental degradation in China’s 31 provinces? New evidence from a spatial econometric perspective. Applied Economics, 51(42), 4658–4671. https://doi.org/10.1080/00036846.2019.1593943

Zheng, H., Feng, C., & Yang, J. (2023). Examining the internal-structural effects of internet development on China’s urban green total factor productivity. Emerging Markets Finance and Trade, 59(15), 4174–4193. https://doi.org/10.1080/1540496X.2023.2190843

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

Zhu, W., Xu, L., Tang, L., & Xiang, X. (2019). Eco-efficiency of the western Taiwan straits economic zone: An evaluation based on a novel eco-efficiency model and empirical analysis of influencing factors. Journal of Cleaner Production, 234, 638–652. https://doi.org/10.1016/j.jclepro.2019.06.157

Zhu, X., Chen, Y., & Feng, C. (2018). Green total factor productivity of China’s mining and quarrying industry: A global data envelopment analysis. Resource Policy, 57, 1–9. https://doi.org/10.1016/j.resourpol.2017.12.009