DRIVING SUSTAINABLE DEVELOPMENT IN CHINA: THE CRUCIAL ROLE OF TECHNOLOGY-ENHANCED ENERGY EFFICIENCY
DOI:
https://doi.org/10.55640/ijnget-v02i07-01Keywords:
Energy Efficiency, Technology, Sustainable DevelopmentAbstract
China's rapid economic growth has been accompanied by a significant increase in energy consumption, leading to pressing environmental challenges and concerns about resource depletion. Addressing these issues is paramount for the nation's long-term sustainable development. This article explores the pivotal role of technology-driven energy efficiency in fostering sustainability within China. It delves into how technological advancements, policy frameworks, and economic factors interact to influence energy intensity and environmental outcomes. By examining existing literature and empirical findings, this paper highlights the transformative potential of innovation in reducing energy demand, mitigating carbon emissions, and promoting a greener economy. The findings underscore the necessity of continued investment in green technologies, robust regulatory measures, and market-based incentives to accelerate China's transition towards a low-carbon, energy-efficient future.
References
Adom, P.K. (2015). Asymmetric impacts of the determinants of energy intensity in Nigeria. Energy Econ., 49, 570-580.
Adom, P.K., & Amuakwa-Mensah, F. (2016). What drives the energy saving role of FDI and industrialization in East Africa? Renew. Sustain. Energy Rev., 65, 925-942.
Ang, B.W. (2006). Monitoring changes in economy-wide energy efficiency: from energy–GDP ratio to composite efficiency index. Energy Policy, 34(5), 574-582.
Ang, B.W., & Goh, T. (2018). Bridging the gap between energy-to-GDP ratio and composite energy intensity index. Energy Policy, 119, 105-112.
Antonietti, R., & Fontini, F. (2019). Does energy price affect energy efficiency? Cross-country panel evidence. Energy Policy, 129, 896-906.
Barkhordari, S., & Fattahi, M. (2017). Reform of energy prices, energy intensity and technology: a case study of Iran (ARDL approach). Energy Strategy Rev., 18, 18-23.
Begum, R.A., Raihan, A., & Said, M.N.M. (2020). Dynamic impacts of economic growth and forested area on carbon dioxide emissions in Malaysia. Sustainability, 12(22), 9375.
Birol, F., & Keppler, J.H. (2000). Prices, technology development and the rebound effect. Energy Policy, 28(6), 457-469.
Chen, H., Shi, Y., & Zhao, X. (2022). Investment in renewable energy resources, sustainable financial inclusion and energy efficiency: a case of US economy. Resour. Policy, 77, 102680.
Cornillie, J., & Fankhauser, S. (2004). The energy intensity of transition countries. Energy Econ., 26(3), 283-295.
Costa-Campi, M.T., García-Quevedo, J., & Segarra, A. (2015). Energy efficiency determinants: an empirical analysis of Spanish innovative firms. Energy Policy, 83, 229-239.
Dogan, E., & Seker, F. (2016). The influence of real output, renewable and non-renewable energy, trade and financial development on carbon emissions in the top renewable energy countries. Renew. Sustain. Energy Rev., 60, 1074-1085.
Farajzadeh, Z., & Nematollahi, M.A. (2018). Energy intensity and its components in Iran: determinants and trends. Energy Econ., 73, 161-177.
Fisher-Vanden, K., Jefferson, G.H., Liu, H., & Tao, Q. (2004). What is driving China’s decline in energy intensity? Resour. Energy Econ., 26(1), 77-97.
Garbaccio, R.F., Ho, M.S., & Jorgenson, D.W. (1999). Why has the energy-output ratio fallen in China? Energy J., 20(3), 63-91.
Gupta, M., Saini, S., & Sahoo, M. (2022). Determinants of ecological footprint and PM2.5: role of urbanization, natural resources and technological innovation. Environ. Chall., 7, 100467.
Hamit-Haggar, M. (2012). Greenhouse gas emissions, energy consumption and economic growth: a panel cointegration analysis from Canadian industrial sector perspective. Energy Econ., 34(1), 358-364.
Hansen, B., & Phillips, P.C.B. (1990). Estimation and inference in models of cointegration: A simulation study. Vol. 8 of Advances in Econometrics: Co-integration, Spurious Regressions and Unit Roots. Greenwich.
Hao, Y., Guo, Y., & Wu, H. (2022). The role of information and communication technology on green total factor energy efficiency: does environmental regulation work? Bus. Strategy Environ., 31(1), 403-424.
Harvey, D.I., Leybourne, S.J., & Taylor, A.R. (2013). Testing for unit roots in the possible presence of multiple trend breaks using minimum Dickey–Fuller statistics. J. Econ., 177(2), 265-284.
Holtedahl, P., & Joutz, F.L. (2004). Residential electricity demand in Taiwan. Energy Econ., 26(2), 201-224.
Husain, S., Tiwari, A.K., Sohag, K., & Shahbaz, M. (2019). Connectedness among crude oil prices, stock index and metal prices: an application of network approach in the USA. Resour. Policy, 62, 57-65.
IPCC. (2019). Global Warming of 1.5 oC —.
Johansen, S., & Juselius, K. (1992). Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK. J. Econ., 53(1-3), 211-244.
Jones, D.W. (1991). How urbanization affects energy-use in developing countries. Energy Policy, 19(7), 621-630.
Lean, H.H., & Smyth, R. (2010). CO2 emissions, electricity consumption and output in ASEAN. Appl. Energy, 87(6), 1858-1864.
Leng Wong, S., Chia, W.-M., & Chang, Y. (2013). Energy consumption and energy R&D in OECD: perspectives from oil prices and economic growth. Energy Policy, 62, 1581-1590.
NASA. (2020). Global Climate Change. Climate Change: Vital Signs of the Planet.
Pal, S., & Mahalik, M.K. (2022). Factors driving financial development in top and bottom globalized developing economies: does economic globalization matter? J. Public Aff., 22(1), e2292.
Paramati, S.R., Mo, D., & Huang, R. (2021). The role of financial deepening and green technology on carbon emissions: evidence from major OECD economies. Financ. Res. Lett., 41, 101794.
Park, J.Y. (1992). Canonical cointegrating regressions. Économ.: J. Econom. Soc., 119-143.
Peng, L., Zhang, Y., Wang, Y., Zeng, X., Peng, N., & Yu, A. (2015). Energy efficiency and influencing factor analysis in the overall Chinese textile industry. Energy, 93, 1222-1229.
Poumanyvong, P., & Kaneko, S. (2010). Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis. Ecol. Econ., 70(2), 434-444.
Rafiq, S., Salim, R., & Nielsen, I. (2016). Urbanization, openness, emissions, and energy intensity: a study of increasingly urbanized emerging economies. Energy Econ., 56, 20-28.
Rathnayaka Mudiyanselage, M.M., Epuran, G., & Tescașiu, B. (2021). Causal links between trade openness and foreign direct investment in Romania. J. Risk Financ. Manag., 14(3).
Rout, S.K., Gupta, M., & Sahoo, M. (2022). The role of technological innovation and diffusion, energy consumption and financial development in affecting ecological footprint in BRICS: an empirical analysis. Environ. Sci. Pollut. Res., 29(17), 25318-25335.
Sahoo, M., & Sahoo, J. (2022). Effects of renewable and non-renewable energy consumption on CO2 emissions in India: Empirical evidence from disaggregated data analysis. J. Public Aff., 22(1), e2307.
Sahoo, M., Gupta, M., & Srivastava, P. (2021). Does information and communication technology and financial development lead to environmental sustainability in India? An empirical insight. Telemat. Inform., 60, 101598.
Sahoo, M., Sethi, N., & Angel Esquivias Padilla, M. (2023). Unpacking the dynamics of information and communication technology, control of corruption and sustainability in green development in developing economies: new evidence. Renew. Energy, 216, 119088.
Samargandi, N. (2019). Energy intensity and its determinants in OPEC countries. Energy, 186, 115803.
Shahbaz, M., Gozgor, G., Adom, P.K., & Hammoudeh, S. (2019). The technical decomposition of carbon emissions and the concerns about FDI and trade openness effects in the United States. Int. Econ., 159, 56-73.
Song, F., & Zheng, X. (2012). What drives the change in China’s energy intensity: Combining decomposition analysis and econometric analysis at the provincial level. Energy Policy, 51, 445-453.
Statista. (2023). Global coal price index 2022. Statista.
Stock, J.H., & Watson, M.W. (1993). A simple estimator of cointegrating vectors in higher order integrated systems. Économ.: J. Econom. Soc., 783-820.
Sun, H., Edziah, B.K., Sun, C., & Kporsu, A.K. (2019). Institutional quality, green innovation and energy efficiency. Energy Policy, 135, 111002.
Sun, H., Edziah, B.K., Kporsu, A.K., Sarkodie, S.A., & Taghizadeh-Hesary, F. (2021). Energy efficiency: The role of technological innovation and knowledge spillover. Technol. Forecast. Soc. Change, 167, 120659.
Verbič, M., Filipović, S., & Radovanović, M. (2017). Electricity prices and energy intensity in Europe. Uti. Policy, 47, 58-68.
Villanthenkodath, M.A., Gupta, M., Saini, S., & Sahoo, M. (2021). Impact of economic structure on the environmental Kuznets Curve (EKC) hypothesis in India. J. Econ. Struct., 10(1), 28.
Villanthenkodath, M.A., Pal, S., & Mahalik, M.K. (2023). Income inequality in globalization context: evidence from global data. J. Knowl. Econ., 1-31.
Waheed, R., Sarwar, S., & Wei, C. (2019). The survey of economic growth, energy consumption and carbon emission. Energy Rep., 5, 1103-1115.
Wang, H., & Wang, M. (2020). Effects of technological innovation on energy efficiency in China: evidence from dynamic panel of 284 cities. Sci. Total Environ., 709, 136172.
Wang, Q.Y. (2005). China’s energy efficiency and international comparison. Energy Sav. Environ. Prot., 6, 10-13.
Wu, H., Hao, Y., Ren, S., Yang, X., & Xie, G. (2021). Does internet development improve green total factor energy efficiency? Evidence from China. Energy Policy, 153, 112247.
Wu, Y. (2012). Energy intensity and its determinants in China’s regional economies. Energy Policy, 41, 703-711.
Xin-gang, Z., & Shu-ran, H. (2020). Does market-based electricity price affect China’s energy efficiency? Energy Econ., 91, 104909.
Zakari, A., Khan, I., Tan, D., Alvarado, R., & Dagar, V. (2022). Energy efficiency and sustainable development goals (SDGs). Energy, 239, 122365.
Zhang, R., & Fu, Y. (2022). Technological progress effects on energy efficiency from the perspective of technological innovation and technology introduction: an empirical study of Guangdong, China. Energy Rep., 8, 425-437.
Zhao, H., & Lin, B. (2020). Impact of foreign trade on energy efficiency in China’s textile industry. J. Clean. Prod., 245, 118878.
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