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Examining the effectiveness of low-carbon strategies in South Asian countries: the case of energy efficiency and renewable energy

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Abstract

This paper examines the impact of energy efficiency (EE) and renewable energy (RE) on carbon emissions, using a panel data of South Asian countries over the period 1990–2014. The empirical investigation involves the estimation of a panel autoregressive distributed lag model in a multivariate framework by employing the pooled mean group estimator. The estimates are presented for homogenous long-run effects and heterogeneous (country-specific) short-run effects of EE and RE on carbon emissions. The estimated results suggest that a cointegrating link is evident between carbon emissions, EE and RE in South Asian countries, especially after controlling the effects of economic growth and trade openness. The homogenous coefficient estimates reveal that in the long run, carbon emissions decline with a rise in RE, but emissions increase with an improvement in EE. Moreover, heterogeneous coefficient estimates indicate that in the short run, both low-carbon strategies (EE and RE) are effective for India and Nepal. However, only one strategy is effective for Pakistan, Bangladesh and Sri Lanka, that is, RE, RE and EE, respectively. The findings of this study provide new and valuable insights about the impact of EE and RE on carbon emissions in South Asian countries. Based on the results of this study, several crucial suggestions and implications are deliberated to promote long-term environmental sustainability in the region.

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References

  • Adams, S., & Nsiah, C. (2019). Reducing carbon dioxide emissions; Does renewable energy matter? Science of the Total Environment, 693, 133288.

    Article  CAS  Google Scholar 

  • Akram, R., Chen, F., Khalid, F., & Ye, Z. (2020a). Heterogeneous effects of energy efficiency and renewable energy on carbon emissions: Evidence from developing countries. Journal of Cleaner Production, 247, 119122.

    Article  Google Scholar 

  • Akram, R., Majeed, M. T., Fareed, Z., Khalid, F., & Ye, C. (2020b). Asymmetric effects of energy efficiency and renewable energy on carbon emissions of BRICS economies: evidence from nonlinear panel autoregressive distributed lag model. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-020-08353-8.

    Article  Google Scholar 

  • Al-Mulali, U., Ozturk, I., & Solarin, S. A. (2016). Investigating the environmental Kuznets curve hypothesis in seven regions: The role of renewable energy. Ecological Indicators, 67, 267–282.

    Article  Google Scholar 

  • Anandarajah, G., & Gambhir, A. (2014). India’s CO2 emission pathways to 2050: What role can renewables play? Applied Energy, 131, 79–86.

    Article  Google Scholar 

  • Bayar, Y., & Gavriletea, M. D. (2019). Energy efficiency, renewable energy, economic growth: Evidence from emerging market economies. Quality and Quantity, 53, 2221–2234.

    Article  Google Scholar 

  • Bhattacharya, M., Churchill, S. A., & Paramati, S. R. (2017). The dynamic impact of renewable energy and institutions on economic output and CO2 emissions across regions. Renewable Energy, 111, 157–167.

    Article  Google Scholar 

  • Blackburne, E. F., & Frank, M. W. (2007). Estimation of nonstationary heterogeneous panels. The Stata Journal, 7(2), 197–208.

    Article  Google Scholar 

  • Chakravarty, D., Dasgupta, S., & Roy, J. (2013). Rebound effect: How much to worry? Current Opinion in Environmental Sustainability, 5(2), 216–228.

    Article  Google Scholar 

  • Chaturvedi, V., & Shukla, P. R. (2014). Role of energy efficiency in climate change mitigation policy for India: Assessment of co-benefits and opportunities within an integrated assessment modeling framework. Climatic Change, 123, 597–609.

    Article  Google Scholar 

  • Chen, P., Chen, S., Hsu, C., & Chen, C. (2016). Modeling the global relationships among economic growth, energy consumption and CO2 emissions. Renewable and Sustainable Energy Reviews, 65, 420–431.

    Article  CAS  Google Scholar 

  • Chen, H., & Wang, L. (2017). Coproducts generated from biomass conversion processes. In H. Chen & L. Wang (Eds.), Technologies for biochemical conversion of biomass (pp. 219–264). Massachusetts: Associated Press.

    Chapter  Google Scholar 

  • Danish, Z., & B., Wang, B., & Wang, Z. . (2017). Role of renewable energy and non-renewable energy consumption on EKC: Evidence from Pakistan. Journal of Cleaner Production, 156, 855–864.

    Article  Google Scholar 

  • Danish, B., & M.A., Mahmood, N., & Zhang, J.W. . (2019). Effect of natural resources, renewable energy and economic development on CO2 emissions in BRICS countries. Science of the Total Environment, 678, 632–638.

    Article  CAS  Google Scholar 

  • Deng, G., & Newton, P. (2017). Assessing the impact of solar PV on domestic electricity consumption: Exploring the prospect of rebound effects. Energy Policy, 110, 313–324.

    Article  Google Scholar 

  • Gillingham, K., Rapson, D., & Wagner, G. (2016). The rebound effect and energy efficiency policy. Review of Environmental Economics and Policy, 10(1), 68–88.

    Article  Google Scholar 

  • Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115, 53–74.

    Article  Google Scholar 

  • Irfan, M., & Shaw, K. (2017). Modeling the effects of energy consumption and urbanization on environmental pollution in South Asian countries: A nonparametric panel approach. Quality and Quantity, 51(1), 65–78.

    Article  Google Scholar 

  • Kumar, S., & Madlener, R. (2016). CO2 emission reduction potential assessment using renewable energy in India. Energy, 97, 273–282.

    Article  Google Scholar 

  • Lin, B., & Ahmad, I. (2017). Analysis of energy related carbon dioxide emission and reduction potential in Pakistan. Journal of Cleaner Production, 143, 278–287.

    Article  CAS  Google Scholar 

  • Linnenluecke, M. K., Han, J., Pan, Z., & Smith, T. (2019). How markets will drive the transition to a low carbon economy. Economic Modelling, 77, 42–54.

    Article  Google Scholar 

  • Lopez-Pena, A., & Perez-Arriaga, & Linares, P. . (2012). Renewables vs. energy efficiency: The cost of carbon emissions reduction in Spain. Energy Policy, 50, 659–668.

    Article  Google Scholar 

  • Mahmood, A., & Marpaung, C. O. P. (2014). Carbon pricing and energy efficiency improvement – why to miss the interaction for developing economies? An illustrative CGE based application to the Pakistan case. Energy Policy, 67, 87–103.

    Article  Google Scholar 

  • Menegaki, A. N., & Tiwari, A. K. (2018). A global food–energy–water nexus with heterogeneity, non-stationarity and cross-sectional dependence. Quality and Quantity, 52, 2723–2755.

    Article  Google Scholar 

  • NAPEE (2009). Energy efficiency as a low-cost resource for achieving carbon emissions reductions. Retrieved 24 July 2020 from https://www.epa.gov/sites/production/files/2015-08/documents/ee_and_carbon.pdf.

  • Ozbugday, F. C., & Erbas, B. C. (2015). How effective are energy efficiency and renewable energy in curbing CO2 emissions in the long run? A heterogeneous panel data analysis. Energy, 82, 734–745.

    Article  CAS  Google Scholar 

  • Pachuari, R. K. (2013). Energy, environment and sustainable development in South Asia. The Pakistan Development Review, 52(4), 273–288.

    Article  Google Scholar 

  • Parikh, K. (2012). Sustainable development and low carbon growth strategy for India. Energy, 40(1), 31–38.

    Article  Google Scholar 

  • Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94, 621–634.

    Article  Google Scholar 

  • Pesaran, M.H. (2004). General diagnostic tests for cross section dependence in panels. IZA Discussion Paper, Series No. 1240. Retrieved 16 Aug 2017 from http://ftp.iza.org/dp1240.pdf.

  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22, 265–312.

    Article  Google Scholar 

  • Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142, 50–93.

    Article  Google Scholar 

  • Rahman, H.S., Wijayatunga, P.D.C., Gunatilake, H., & Fernando. P.N. (2011). Energy trade in South Asia: Opportunities and challenges. Asian Development Bank. Retrieved 05 Nov 2018 from https://www.adb.org/sites/ default/ files/publication/29703/energy-trade-south-asia.pdf.

  • Riti, J. S., Song, D., Shu, Y., Kamah, M., & Atabani, A. A. (2018). Does renewable energy ensure environmental quality in favour of economic growth? Empirical evidence from China’s renewable development. Quality and Quantity, 52, 2007–2030.

    Article  Google Scholar 

  • Salisu, A. A., & Isah, K. O. (2017). Revisiting the oil price and stock market nexus: A nonlinear panel ARDL approach. Economic Modelling, 66, 258–271.

    Article  Google Scholar 

  • SAPW (2018). Energy in Nepal. Energy and economic growth: Applied research program. Retrieved 05 June 2020 from https://energyeconomicgrowth.org/sites/eeg.opml.co.uk/files/2018-04/EEG%20Pre-South%20Asia%20Policy%20Workshop%20Report.29.09.2016.pdf.

  • Sathaye, J., & Gupta, A. P. (2010). Eliminating electricity deficit through energy efficiency in India: An evaluation of aggregate economic and carbon benefits. Ernest Orlando Lawrence Berkeley National Laboratory. https://doi.org/10.2172/983247.Accessedon05Jan.

    Article  Google Scholar 

  • Shrestha, R.M, Ahmed, H., Suphachalasai, S., & Lasco, R. (2012). Economics of reducing greenhouse gas emissions in South Asia: Options and costs. Asian Development Bank. Retrieved from 12 Nov 2019 https://www.adb.org/publications/economics-reducing-greenhouse-gas-emissions-south-asia-options-and-costs.

  • Sinha, A., & Shahbaz, M. (2018). Estimation of environmental Kuznets curve for CO2 emission: Role of renewable energy generation in India. Renewable Energy, 119, 703–711.

    Article  Google Scholar 

  • Stern, D. I. (2004). The rise and fall of the environmental Kuznets curve. World Development, 32(8), 1419–1439.

    Article  Google Scholar 

  • UN. (2019). World economic situation and prospects 2020. United Nations. Retrieved 08 Feb 2019 https://www.un.org/ development/desa/dpad/wp- content/uploads/sites/45/WESP2020_FullReport.pdf2019.Accessed on 08 February 2020

  • UNDP (2017). 100% electricity generation through renewable energy by 2050: Assessment of Sri Lanka’s power sector. United Nations Development Programme. Retrieved 22 July 2020 from https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwis64zs5IvrAhU6yzgGHYGwClkQFjACegQIAhAB&url=https%3A%2F%2Fwww.undp.org%2Fcontent%2Fdam%2FLECB%2Fdocs%2Fpubs-reports%2FUNDP-LECB-Assessment-Sri-Lanka-Power-Sector.pdf&usg=AOvVaw0zeuXekm-hK6uJ2m41lo6g.

  • UNEP (2016). Renewable energy and energy efficiency in developing countries: contributions to reducing global emissions. United Nations Environmental Programme. Retrieved 08 July 2020 from https://wedocs.unep.org/bitstream/handle/20.500.11822/22149/1_Gigaton_Third%20Report_EN.pdf?sequence=1&isAllowed=y.

  • Utku-Ismihan, F. M. (2019). Knowledge, technological convergence and economic growth: a dynamic panel data analysis of Middle East and North Africa and Latin America. Quality and Quantity, 53, 713–733.

    Article  Google Scholar 

  • WB (2018). World development indicators, World Bank. Retrieved 12 Jan 2019 from https://databank.worldbank.org/source/world-development-indicators.

  • Zhang, Z. (2010). China in the transition to a low-carbon economy. Energy Policy, 38(10), 6638–6653.

    Article  Google Scholar 

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Irfan, M., Mahapatra, B. & Ojha, R.K. Examining the effectiveness of low-carbon strategies in South Asian countries: the case of energy efficiency and renewable energy. Environ Dev Sustain 23, 11936–11952 (2021). https://doi.org/10.1007/s10668-020-01150-w

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