Shahbaz, Muhammad and Raghutla, Chandrashekar and Song, Malin and Zameer, Hashim and Jiao, Zhilun (2019): Public-Private Partnerships Investment in Energy as New Determinant of CO2 Emissions: The Role of Technological Innovations in China.
Preview |
PDF
MPRA_paper_97909.pdf Download (415kB) | Preview |
Abstract
This paper explores the relationship between ‘public-private partnerships investment in energy sector and carbon emissions’ considering the vital role of technological innovations in carbon emissions function for China. In doing so, we apply bootstrapping autoregressive distributed lag modeling (BARDL) for examining the cointegration between carbon emissions and its determinants. The empirical results reveal that public-private partnerships investment in energy impedes environmental quality by increasing carbon emissions. On contrary, technological innovations have negative effect on carbon emissions. The relationship between economic growth and carbon emissions is inverted-U shaped i.e. environmental Kuznets curve hypothesis. Exports are positively linked with carbon emissions. Foreign direct investment impedes environmental quality by stimulating CO2 emissions. The empirical findings provide new insights for policy makers to direct public-private partnerships investment in energy for the betterment of environmental quality in China.
Item Type: | MPRA Paper |
---|---|
Original Title: | Public-Private Partnerships Investment in Energy as New Determinant of CO2 Emissions: The Role of Technological Innovations in China |
English Title: | Public-Private Partnerships Investment in Energy as New Determinant of CO2 Emissions: The Role of Technological Innovations in China |
Language: | English |
Keywords: | Public-Private Partnerships Investment, Energy, CO2 Emissions, Technological Innovation, China |
Subjects: | Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics |
Item ID: | 97909 |
Depositing User: | Dr Muhammad Shahbaz |
Date Deposited: | 05 Jan 2020 05:24 |
Last Modified: | 05 Jan 2020 05:24 |
References: | Abdouli, M. and Hammami, S. (2017). Investigating the causality links between environmental quality, foreign direct investment and economic growth in MENA countries. International Business Review, 26, 264-278. Álvarez-Herránz, A., Balsalobre, D., Cantos, J. M. and Shahbaz, M. (2017a). Energy innovations-GHG emissions nexus: Fresh empirical evidence from OECD countries. Energy Policy, 101, 90-100. Alvarez-Herranz, A., Balsalobre-Lorente, D., Shahbaz, M. and Cantos, J. M. (2017b). Energy innovation and renewable energy consumption in the correction of air pollution levels. Energy Policy, 105, 386-397. Apergis, N., Eleftheriou, S. and Payne, J. E. (2013). The relationship between international financial reporting standards, carbon emissions, and R&D expenditures: Evidence from European manufacturing firms. Ecological Economics, 88, 57-66. Baek, J. (2016). A new look at the FDI–income–energy–environment nexus: dynamic panel data analysis of ASEAN. Energy Policy, 91, 22-27. Balsalobre-Lorente, D., Álvarez-Herranz, A. and Shahbaz, M. (2019b). The long-term effect of economic growth, energy innovation, energy use on environmental quality. ‘Energy and Environmental Strategies in the Era of Globalization’ edited by Shahbaz, M. and Balsalobre-Lorente, D., pp: 1-34. Balsalobre-Lorente, D., Shahbaz, M., Jabbour, C. J.C. and Driha, O. M. (2019a). The role of energy innovation and corruption in carbon emissions: Evidence based on the EKC hypothesis. ‘Energy and Environmental Strategies in the Era of Globalization’ edited by Shahbaz, M. and Balsalobre-Lorente, D., pp: 271-304. Banerjee, A., Dolado, J. and Mestre, R. (1998). Error‐correction Mechanism Tests for Cointegration in a Single‐equation Framework. Journal of Time Series Analysis, 19, 267-283. Bierens, H. J. (1997). Nonparametric cointegration analysis. Journal of Economics, 77, 379-404. Bosupeng, M. (2016). The effect of exports on carbon dioxide emissions: Policy implications. International of Management and Economics, 51, 20-32. Brock, W. A. and Taylor, M. S. (2005). Economic growth and the environment: a review of theory and empirics. In: Aghion, P., Durlauf, S.N. (Eds.), Handbook of Economic Growth 1. Elsevier B.V, Amsterdam, Netherland, 1749-1819. Can, M. and Gozgor, G. (2017). The impact of economic complexity on carbon emissions: evidence from France. Environmental Science and Pollution Research, 24, 16364-16370. Chandran, V. G. R. and Tang, C. F. (2013). The impacts of transport energy consumption, foreign direct investment and income on CO2 emissions in ASEAN-5 economies. Renewable and Sustainable Energy Reviews, 24, 445-453. Chen, W. and Lei, Y. (2018). The impacts of renewable energy and technological innovation on environment-energy-growth nexus: New evidence from a panel quantile regression. Renewable Energy, 123, 1-14. Cho, J. H. and Sohn, S. Y. (2018). A novel decomposition analysis of green patent applications for the evaluation of R&D efforts to reduce CO2 emissions from fossil fuel energy consumption. Journal of Cleaner Production, 193, 290-299. Davies, R. B. (1977). Hypothesis testing when a nuisance parameter is present only under the alternative. Biometrika 64, 247-254. Dickey, D. A. and Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica: Journal of the Econometric Society, 1057-1072. Dinda, S. (2004). Environmental Kuznets curve hypothesis: a survey. Ecological Economics, 49, 431-455. Enders, W. and Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletins of Economics and Statistics, 74, 574–599. Esteve, V. and Tamarit, C. (2012). Is there an environmental Kuznets curve for Spain? Fresh evidence from old data. Economic Modelling, 29, 2696-2703. Fei, Q., Rasiah, R. and Shen, L. J. (2014). The clean energy-growth nexus with CO2 emissions and technological innovation in Norway and New Zealand. Energy & Environment, 25, 1323-1344. Fernández, Y. F., López, M. F. and Blanco, B. O. (2018). Innovation for sustainability: the impact of R&D spending on CO2 emissions. Journal of Cleaner Production, 172, 3459-3467. Fosten, J., Morley, B. and Taylor, T. (2012). Dynamic misspecification in the environmental Kuznets curve: Evidence from CO2 and SO2 emissions in the United Kingdom. Ecological Economics, 76, 25-33. Fosten, J., Morley, B. and Taylor, T. (2012). Dynamic misspecification in the environmental Kuznets curve: evidence from CO2 and SO2 emissions in the United Kingdom. Ecological Economics, 76, 25-33. Fulton, M. and Capalino, R. (2014). Investing in the clean trillion: Closing the clean energy investment gap. http://www.ceres.org/resources/reports/investing-in-the-clean-trillion-closing-the-clean-energy-investment-gap. Gallant, A. (1981). On the bias inflexible functional forms and an essentially unbiased form: the Fourier flexible form. Journal of Economics, 15, 211-245. Gallant, A. and Souza, G. (1991). On the asymptotic normality of Fourier flexible form estimates. Journal of Economics, 50, 329-353. Ganda, F. (2018). The influence of green energy investments on environmental quality in OECD countries. Environmental Quality Management, 28, 17-29. Ganda, F. (2109). The impact of innovation and technology investments on carbon emissions in selected organisation for economic Co-operation and development countries. Journal of Cleaner Production, 217, 469-483. Goh, S. K., Yong, J. Y., Lau, C. C. and Tang, T. C. (2017). Bootstrap ARDL on energy-growth relationship for 22 OECD countries. Applied Economics Letters, 24, 1464-1467. Goldthau, A. (2014). Rethinking the governance of energy infrastructure: Scale, decentralization and polycentrism. Energy Research & Social Science, 1, 134-140. Hamouri, B. M. (2014). The Impact of Investment in Industrial Sector on the Environmental Degradation in Jordan. International Journal of Business and Social Science, 5, 71-80. Hitam, M. B. and Borhan, H. B. (2012). FDI, growth and the environment: impact on quality of life in Malaysia. Procedia-Social and Behavioral Sciences, 50, 333-342. Irandoust, M. (2018). Innovations and renewables in the Nordic countries: A panel causality approach. Technology in Society, 54, 87-92. Iwata, H., Okada, K. and Samreth, S. (2010). Empirical study on the environmental Kuznets curve for CO2 in France: the role of nuclear energy. Energy Policy, 38, 4057-4063. Jin, L., Duan, K., Shi, C. and Ju, X. (2017). The impact of technological progress in the energy sector on carbon emissions: An empirical analysis from China. International Journal of Environmental Research and Public Health, 14, 1-14. Kahouli, B. (2018). The causality link between energy electricity consumption, CO2 emissions, R&D stocks and economic growth in Mediterranean countries (MCs). Energy, 145, 388-399. Kim, D. and Perron, P. (2009). Unit root tests allowing for a break in the trend function at an unknown time under both the null and alternative hypotheses. Journal of Econometrics, 148, 1-13. Koçak, E. and Ulucak, Z. Ş. (2019). The effect of energy R&D expenditures on CO2 emission reduction: estimation of the STIRPAT model for OECD countries. Environmental Science and Pollution Research, 26, 14328-14338. Kwon, D. S., Cho, J. H. and Sohn, S. Y. (2017). Comparison of technology efficiency for CO2 emissions reduction among European countries based on DEA with decomposed factors. Journal of Cleaner Production, 151, 109-120. Lantz, V. and Feng, Q. (2006). Assessing income, population, and technology impacts on CO2 emissions in Canada: where's the EKC? Ecological Economics, 57, 229-238. Lau, L. S., Choong, C. K. and 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. Lee, K. H. and Min, B. (2015). Green R&D for eco-innovation and its impact on carbon emissions and firm performance. Journal of Cleaner Production, 108, 534-542. Leybourne, S., Newbold, P. and Vougas, D. (1998b). Unit roots and smooth transitions. Journal of Time Series Analysis, 19, 83–97. Li, W., Wang, W., Wang, Y. and Qin, Y. (2017). Industrial structure, technological progress and CO2 emissions in China: Analysis based on the STIRPAT framework. Natural Hazards, 88, 1545-1564. Lin, B. and Wang, X. (2015). Carbon emissions from energy intensive industry in China: evidence from the iron & steel industry. Renewable and Sustainable Energy Reviews, 47, 746-754. Lin, J. Y. and Wang, Y. (2014). China-Africa co-operation in structural transformation: Ideas, opportunities, and finances (No. 2014/046). WIDER Working Paper. Lütkepohl, H. (2006). Structural Vector Autoregressive Analysis for Cointegrated Variables. AStA Advances in Statistical Analysis, 90 (1), 75-88. Ma, R. K. and Liu, F. C. (2018). intra-and inter-regional technology transfer and co2 emissions in china: comparing the effects of energy and environmental technologies. Applied Ecology and Environmental Research, 16, 709-723. McCollum, D., Nagai, Y., Riahi, K., Marangoni, G., Calvin, K., Pietzcker, R., van Vliet, J. and van der Zwaan, B. (2013). Energy investments under climate policy: a comparison of global models. Climate Change Economics, 4, 3-32. McNown, R., Sam, C. Y. and Goh, S. K. (2018). Bootstrapping the autoregressive distributed lag test for cointegration. Applied Economics, 50, 1509-1521. Meliciani, V. (2000). The relationship between R&D, investment and patents: a panel data analysis. Applied Economics, 32, 1429-1437. Mensah, C. N., Long, X., Boamah, K. B., Bediako, I. A., Dauda, L. and Salman, M. (2018). The effect of innovation on CO 2 emissions of OCED countries from 1990 to 2014. Environmental Science and Pollution Research, 25, 29678-29698. Nesta, L., Vona, F. and Nicolli, F. (2014). Environmental policies, competition and innovation in renewable energy. Journal of Environmental Economics and Management, 67, 396-411. Newcomb, J., Lacy, V., Hansen, L. and Bell, M. (2013). Distributed energy resources: Policy implications of decentralization. The Electricity Journal, 26, 65-87. Pesaran, M. H. and Shin, Y. (1999). An autoregressive distributed lag modelling approach to cointegration analysis. In: Strom, S. (Ed.), Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium. Cambridge University Press. Pesaran, M. H., Shin, Y. and Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16, 289-326. Pesaran, M. H., Shin, Y. and Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16, 289-326. Popp, D. (2002). Induced innovation and energy prices. American Economic Review, 92, 160-180. Raghutla, C., Sakthivel, P., Sampath, T. and Chittedi, K. R. (2018b). Macroeconomic variables and stock prices in emerging economies: A panel analysis. Theoretical and Applied Economics. 225, 91-100. Raghutla, C., Sampath, T. and Chittedi, K. R. (2018a). Financial development, trade openness and growth in India. Theoretical and Applied Economics, 1, 113-124. Ren, S., Yuan, B., Ma, X. and Chen, X. (2014). International trade, FDI (foreign direct investment) and embodied CO2 emissions: A case study of Chinas industrial sectors. China Economic Review, 28, 123-134. Richter, M. (2012). Utilities’ business models for renewable energy: A review. Renewable and Sustainable Energy Reviews, 16, 2483-2493. Sbia, R., Shahbaz, M. and Hamdi, H. (2014). A contribution of foreign direct investment, clean energy, trade openness, carbon emissions and economic growth to energy demand in UAE. Economic Modelling, 36, 191-197. Sephton, P. and Mann, J. (2013). Further evidence of an environmental Kuznets curve in Spain. Energy Economics, 36, 177-181. Shahbaz, M., Haouas, I. and Hoang, T. H. V. (2019). Economic growth and environmental degradation in Vietnam: Is the environmental Kuznets curve a complete picture? Emerging Markets Review, 38, 197-218. Shahbaz, M., Lean, H. H. and Shabbir, M. S. (2012a). Environmental Kuznets curve hypothesis in Pakistan: cointegration and Granger causality. Renewable and Sustainable Energy Reviews, 16, 2947-2953. Shahbaz, M., Nasir, M. A. and Roubaud, D. (2018). Environmental degradation in France: The effects of FDI, financial development, and energy innovations. Energy Economics, 74, 843-857. Shahbaz, M., Nasreen, S., Abbas, F. and Anis, O. (2015). Does foreign direct investment impede environmental quality in high-, middle-, and low-income countries? Energy Economics, 51, 275-287. Shahbaz, M., Shafiullah, M., Papavassiliou, V. G. and Hammoudeh, S. (2017). The CO2–growth nexus revisited: A nonparametric analysis for the G7 economies over nearly two centuries. Energy Economics, 65, 183-193. Shahbaz, M., Shahzad, S. J. H., Nawaz, A. and Alam, S. (2016). Financial development and environmental quality: The way forward. Energy Policy, 98, 353-364. Shahbaz, M., Solarin, S. A., Hammoudeh, S. Shahzad, S. J. H. (2017). Bounds testing approach to analyzing the environment Kuznets curve hypothesis with structural beaks: The role of biomass energy consumption in the United States. Energy Economics, 68, 548-565. Shahbaz, M., Zeshan, M. and Afza, T. (2012b). Is energy consumption effective to spur economic growth in Pakistan? New evidence from bounds test to level relationships and Granger causality tests. Economic Modelling, 29, 2310-2319. Sohag, K., Begum, R. A., Abdullah, S. M. S. and Jaafar, M. (2015). Dynamics of energy use, technological innovation, economic growth and trade openness in Malaysia. Energy, 90, 1497-1507. Sun, Y., Lu, Y., Wang, T., Ma, H. and He, G. (2008). Pattern of patent-based environmental technology innovation in China. Technological Forecasting and Social Change, 75, 1032-1042. Tang, C. F. and Tan, E. C. (2013). Exploring the nexus of electricity consumption, economic growth, energy prices and technology innovation in Malaysia. Applied Energy, 104, 297-305. Tang, C. F. and Tan, E. C. (2013). Exploring the nexus of electricity consumption, economic growth, energy prices and technology innovation in Malaysia. Applied Energy, 104, 297-305. Tang, C. F., and Tan, B. W. (2015). The impact of energy consumption, income and foreign direct investment on carbon dioxide emissions in Vietnam. Energy, 79, 447-454. Tiwari, A. K., Shahbaz, M. and Hye, Q. M. A. (2013). The environmental Kuznets curve and the role of coal consumption in India: cointegration and causality analysis in an open economy. Renewable and Sustainable Energy Reviews, 18, 519-527. Wang, S., Fang, C. and Li, G. (2015). Spatiotemporal characteristics, determinants and scenario analysis of CO2 emissions in China using provincial panel data. PloS one, 10, e0138666. Wang, Z., Yin, F., Zhang, Y. and Zhang, X. (2012). An empirical research on the influencing factors of regional CO2 emissions: evidence from Beijing city, China. Applied Energy, 100, 277-284. Waqih, M. A. U., Bhutto, N. A., Ghumro, N. H., Kumar, S. and Salam, M. A. (2019). Rising environmental degradation and impact of foreign direct investment: An empirical evidence from SAARC region. Journal of Environmental Management, 243, 472-480. Weina, D., Botang, H., Xin, Z. and Mazzanti, M. (2015). How does green technology influence C02 emission in China?-An empirical research based on provincial data of China. Journal of Environmental Biology, 36(4), 745. Weixian, W. and Fang, Y. (2010). Impact of technology advance on carbon dioxide emissions in China. Statistical Research, 55, 1983-1992. Yii, K. J. and Geetha, C. (2017). The nexus between technology innovation and CO2 emissions in Malaysia: evidence from granger causality test. Energy Procedia, 105, 3118-3124. Zhang, L., Jiang, Z., Liu, R., Tang, M. and Wu, F. (2018). Can China achieve its CO2 emissions mitigation target in 2030: A system dynamics perspective? Polish Journal of Environmental Studies, 27, 2861-2871. Zhou, Z., Ye, X. and Ge, X. (2017). The impacts of technical progress on sulphur dioxide Kuznets curve in China: A spatial panel data approach. Sustainability, 9, 1-27. Ritchie, H. and Roser, M. (2019). Energy production & changing energy sources. Published online at OurWorldInData.org. Retrieved from: ‘https://ourworldindata.org/energy-production-and-changing-energy-sources’. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/97909 |