Skip to main content
Log in

Does ICT trade facilitate renewable energy transition and environmental sustainability? Evidence from Bangladesh, India, Pakistan, Sri Lanka, Nepal and Maldives

  • Original Article
  • Published:
Energy, Ecology and Environment Aims and scope Submit manuscript

Abstract

Consumption of fossil fuels has triggered the worldwide awareness to attain socioeconomic and environmental sustainability, particularly by enhancing renewable energy use and mitigating the environmental adversities, in tandem. Against this background, this paper aimed to investigate the impacts of promoting ICT trade, through liberalization of the associated trade barriers, on the prospects of undergoing renewable energy transition and limiting environmental degradation by curbing CO2 emissions across six South Asian economies. The overall results from the econometric analyses, in a nutshell, confirm that higher degrees of openness to ICT trade lead to greater consumption of renewable energy, improve energy use efficiency levels and enhance access to cleaner cooking fuels. However, ICT trade fails to elevate the renewable energy shares in aggregate final energy consumption figures in South Asia. Besides, ICT trade is also seen to boost CO2 emissions across this region; although the impacts seem to reverse upon enhancement in renewable energy consumption levels along with liberalization of the ICT trade barriers. Thus, these results impose key policy implications for the South Asian governments for simultaneously ensuring energy security and sustaining environmental well-being across South Asia.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Source: World Development Indicators (World Bank 2020)

Fig. 2

Source: World Development Indicators (World Bank 2020)

Fig. 3

Source: World Development Indicators (World Bank 2020)

Fig. 4

Source: Authors’ own

Similar content being viewed by others

References

  • Abid MR, Lghoul R, Benhaddou D (2017) ICT for renewable energy integration into smart buildings: IoT and big data approach. In: 2017 IEEE AFRICON. IEEE, pp 856–861

  • Acharya V, Hegde VV, Anjan K, Kumar M (2017). IoT (Internet of Things) based efficiency monitoring system for bio-gas plants. In: 2017 2nd international conference on computational systems and information technology for sustainable solution (CSITSS). IEEE, pp 1–5

  • Agrawala S, Raksakulthai V, van Aalst M, Larsen P, Smith J, Reynolds J (2003) Development and climate change in Nepal: Focus on water resources and hydropower. Oecd, Paris, pp 14–28

    Google Scholar 

  • Ahmed F, Naeem M, Iqbal M (2017) ICT and renewable energy: a way forward to the next generation telecom base stations. Telecommun Syst 64(1):43–56

    Google Scholar 

  • Alam MM, Murad MW (2020) The impacts of economic growth, trade openness and technological progress on renewable energy use in organization for economic co-operation and development countries. Renew Energy 145:382–390

    Google Scholar 

  • Alstone P, Gershenson D, Kammen DM (2015) Decentralized energy systems for clean electricity access. Nat Clim Change 5(4):305–314

    Google Scholar 

  • Amri F (2019) Renewable and non-renewable energy and trade into developed and developing countries. Qual Quant 53(1):377–387

    Google Scholar 

  • Amri F, Zaied YB, Lahouel BB (2019) ICT, total factor productivity, and carbon dioxide emissions in Tunisia. Technol Forecast Soc Chang 146:212–217

    Google Scholar 

  • Andreopoulou Z (2012) Green Informatics: ICT for green and Sustainability. Agrárinformatika J Agric Inf 3(2):1–8

    Google Scholar 

  • Arnone D, Bertoncini M, Rossi A, D’Errico F, García-Santiago C, Moneta D, D’Orinzi C (2013) An ICT-based energy management system to integrate renewable energy and storage for grid balancing. In: Proceedings of the fourth international conference on future energy systems. ACM, pp 259–260

  • Asif M, Muneer T (2007) Energy supply, its demand and security issues for developed and emerging economies. Renew Sustain Energy Rev 11(7):1388–1413

    Google Scholar 

  • Bai J, Kao C, Ng S (2009) Panel cointegration with global stochastic trends. J Econom 149(1):82–99

    MathSciNet  MATH  Google Scholar 

  • Bastida L, Cohen JJ, Kollmann A, Moya A, Reichl J (2019) Exploring the role of ICT on household behavioral energy efficiency to mitigate global warming. Renew Sustain Energy Rev 103:455–462

    Google Scholar 

  • Baurzhan S, Jenkins GP (2016) Off-grid solar PV: is it an affordable or appropriate solution for rural electrification in Sub-Saharan African countries? Renew Sustain Energy Rev 60:1405–1418

    Google Scholar 

  • Bhattacharyya SC, Palit D (2016) Mini-grid based off-grid electrification to enhance electricity access in developing countries: what policies may be required? Energy Policy 94:166–178

    Google Scholar 

  • Boden TA, Marland G, Andres RJ (2009) Global, regional, and national fossil-fuel CO2 emissions. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, US Department of Energy, Oak Ridge, Tenn., USA

  • Bourhnane S, Abid MR, Lghoul R, Zine-Dine K, Elkamoun N, Bakhouya M, Benhaddou D (2019). Real-time control of smart grids using NI CompactRIO. In: 2019 international conference on wireless technologies, embedded and intelligent systems (WITS). IEEE, pp 1–6

  • Breitung J (2000) The local power of some unit root tests for panel data. In: Baltagi BH (ed) Advances in econometrics, volume 15: nonstationary panels, panel cointegration, and dynamic panels. JAI Press, Amsterdam, pp 161–178

    Google Scholar 

  • Breusch TS, Pagan AR (1980) The Lagrange multiplier test and its applications to model specification in econometrics. Rev Econ Stud 47(1):239–253

    MathSciNet  MATH  Google Scholar 

  • Chapman D, Tyrrell T, Mount T (1972) Electricity demand growth and the energy crisis. Science 178(4062):703–708

    Google Scholar 

  • Chavan S, Chavan M (2020) Recent trends in ICT-enabled renewable energy systems. In: Information and communication technology for sustainable development. Springer, Singapore, pp 327–332

  • Cole MA (2004) Trade, the pollution haven hypothesis and the environmental Kuznets curve: examining the linkages. Ecol Econ 48(1):71–81

    Google Scholar 

  • Despins C, Labeau F, Le Ngoc T, Labelle R, Cheriet M, Thibeault C, Mcneill J (2011) Leveraging green communications for carbon emission reductions: techniques, testbeds, and emerging carbon footprint standards. IEEE Commun Mag 49(8):101–109

    Google Scholar 

  • Dong K, Dong X, Jiang Q (2020) How renewable energy consumption lower global CO2 emissions? Evidence from countries with different income levels. World Econ 43(6):1665–1698

    Google Scholar 

  • Doukas H, Marinakis V, Tsapelas J, Sgouridis S (2019) Intelligent energy management within the smart cities: an EU-GCC cooperation opportunity. In: Smart cities in the Gulf. Palgrave Macmillan, Singapore, pp 123–147

  • Droege P (2011) Urban energy transition: from fossil fuels to renewable power. Elsevier, Amsterdam

    Google Scholar 

  • Dumitrescu EI, Hurlin C (2012) Testing for Granger non-causality in heterogeneous panels. Econ Model 29(4):1450–1460

    Google Scholar 

  • El-Baz W, Tzscheutschler P, Wagner U (2019) Integration of energy markets in microgrids: a double-sided auction with device-oriented bidding strategies. Appl Energy 241:625–639

    Google Scholar 

  • Erlinghagen S, Markard J (2012) Smart grids and the transformation of the electricity sector: ICT firms as potential catalysts for sectoral change. Energy Policy 51:895–906

    Google Scholar 

  • Espe E, Potdar V, Chang E (2018) Prosumer communities and relationships in smart grids: a literature review, evolution and future directions. Energies 11(10):2528

    Google Scholar 

  • Evans W, Johnson M, Jagoe K, Charron D, Young B, Rahman ASMM, Ipe J (2017) Evaluation of behavior change communication campaigns to promote modern cookstove purchase and use in lower-middle-income countries. Int J Environ Res Public Health 15(1):11

    Google Scholar 

  • Ferdaus J, Appiah BK, Majumder SC, Martial AAA (2020) A panel dynamic analysis on energy consumption, energy prices and economic growth in Next-11 countries. Int J Energy Econ Policy. https://doi.org/10.32479/ijeep.9880

    Article  Google Scholar 

  • Field CB (ed) (2014) Climate change 2014–impacts, adaptation and vulnerability: regional aspects. Cambridge University Press, Cambridge

    Google Scholar 

  • Frees EW (1995) Assessing cross-sectional correlation in panel data. J Econom 69:393–414

    MATH  Google Scholar 

  • Friedman M (1937) The use of ranks to avoid the assumption of normality implicit in the analysis of variance. J Am Stat Assoc 32:675–701

    MATH  Google Scholar 

  • Fung CC, Tang SC, Wong KP (2010). A proposed study on the use of ICT and smart meters to influence consumers’ behavior and attitude towards Renewable Energy. In: IEEE PES general meeting. IEEE, pp 1–5

  • Gautier A, Jacqmin J, Poudou JC (2018) The prosumers and the grid. J Regul Econ 53(1):100–126

    Google Scholar 

  • Geweke J (1982) Measurement of linear dependence and feedback between multiple time series. J Am Stat Assoc 77:304–313

    MathSciNet  MATH  Google Scholar 

  • Goebel C, Callaway DS (2012) Using ICT-controlled plug-in electric vehicles to supply grid regulation in California at different renewable integration levels. IEEE Trans Smart Grid 4(2):729–740

    Google Scholar 

  • Granger CWJ (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37:424–438

    MATH  Google Scholar 

  • Harris RD, Tzavalis E (1999) Inference for unit roots in dynamic panels where the time dimension is fixed. J Econom 91(2):201–226

    MathSciNet  MATH  Google Scholar 

  • Haseeb A, Xia E, Saud S, Ahmad A, Khurshid H (2019) Does information and communication technologies improve environmental quality in the era of globalization? An empirical analysis. Environ Sci Pollut Res 26(9):8594–8608

    Google Scholar 

  • He J, Wang Y, Chen W (2020) Energy transition driven by the energy internet. In: Annual report on China’s response to climate change (2017). Springer, Singapore, pp 77–89

  • Higón DA, Gholami R, Shirazi F (2017) ICT and environmental sustainability: a global perspective. Telemat Inform 34(4):85–95

    Google Scholar 

  • Hoel M, Kverndokk S (1996) Depletion of fossil fuels and the impacts of global warming. Resour Energy Econ 18(2):115–136

    Google Scholar 

  • Inglesi-Lotz R, Dogan E (2018) The role of renewable versus non-renewable energy to the level of CO2 emissions a panel analysis of sub-Saharan Africa’s Βig 10 electricity generators. Renew Energy 123:36–43

    Google Scholar 

  • IPCC (2014) Climate change 2014: synthesis report. In: Contribution of working groups I, II and III to the fifth assessment report of the intergovernmental panel on climate change. IPCC, Geneva, Switzerland. https://www.ipcc.ch/site/assets/uploads/2018/02/SYR_AR5_FINAL_full.pdf

  • Jindal A, Schaeffer-Filho A, Marnerides AK, Smith P, Mauthe A, Granville L (2020). Tackling energy theft in smart grids through data-driven analysis. In: 2020 international conference on computing, networking and communications (ICNC). IEEE, pp 410–414

  • Kao C (1999) Spurious regression and residual-based tests for cointegration in panel data. J Econ 90:1–44

    MathSciNet  MATH  Google Scholar 

  • Kasayanond A, Umam R, Jermsittiparsert K (2019) Environmental sustainability and its growth in Malaysia by elaborating the green economy and environmental efficiency. Int J Energy Econ Policy 9(5):465

    Google Scholar 

  • Khan N, Baloch MA, Saud S, Fatima T (2018) The effect of ICT on CO 2 emissions in emerging economies: does the level of income matters? Environ Sci Pollut Res 25(23):22850–22860

    Google Scholar 

  • Kramers A, Höjer M, Lövehagen N, Wangel J (2014) Smart sustainable cities–Exploring ICT solutions for reduced energy use in cities. Environ Model Softw 56:52–62

    Google Scholar 

  • Lee JW, Brahmasrene T (2014) ICT, CO2 emissions and economic growth: evidence from a panel of ASEAN. Glob Econ Rev 43(2):93–109

    Google Scholar 

  • Lin B, Omoju OE, Okonkwo JU (2016) Factors influencing renewable electricity consumption in China. Renew Sustain Energy Rev 55:687–696

    Google Scholar 

  • Long X, Naminse EY, Du J, Zhuang J (2015a) Nonrenewable energy, renewable energy, carbon dioxide emissions and economic growth in China from 1952 to 2012. Renew Sustain Energy Rev 52:680–688

    Google Scholar 

  • Long X, Zhao X, Cheng F (2015b) The comparison analysis of total factor productivity and eco-efficiency in China’s cement manufactures. Energy Policy 81:61–66

    Google Scholar 

  • Luderer G, Bosetti V, Jakob M, Leimbach M, Steckel JC, Waisman H, Edenhofer O (2012) The economics of decarbonizing the energy system—results and insights from the RECIPE model intercomparison. Clim Change 114(1):9–37

    Google Scholar 

  • Mekonnen Y, Sarwat AI (2017) Renewable energy supported microgrid in rural electrification of Sub-Saharan Africa. In: 2017 IEEE PES power Africa. IEEE, pp 595–599

  • Mensah CN, Long X, Dauda L, Boamah KB, Salman M, Appiah-Twum F, Tachie AK (2019) Technological innovation and green growth in the Organization for Economic Cooperation and Development economies. J Clean Prod 240:118204

    Google Scholar 

  • Mirza UK, Ahmad N, Harijan K, Majeed T (2009) Identifying and addressing barriers to renewable energy development in Pakistan. Renew Sustain Energy Rev 13(4):927–931

    Google Scholar 

  • Molla T, Khan B, Moges B, Alhelou HH, Zamani R, Siano P (2019) Integrated optimization of smart home appliances with cost-effective energy management system. CSEE J Power Energy Syst 5(2):249–258

    Google Scholar 

  • Muhammad S, Long X, Salman M, Dauda L (2020) Effect of urbanization and international trade on CO2 emissions across 65 belt and road initiative countries. Energy 196:117102

    Google Scholar 

  • Murshed M (2018) Does improvement in trade openness facilitate renewable energy transition? Evidence from selected South Asian economies. South Asia Econ J 19(2):151–170

    Google Scholar 

  • Murshed M (2019a) A review of the prospects and benefits of smart gridding technology adoption in Bangladesh’s power sector. Nat Gas Electr 36(3):19–28

    MathSciNet  Google Scholar 

  • Murshed M (2019b) An empirical investigation of foreign financial assistance inflows and its fungibility analyses: evidence from Bangladesh. Economies 7(3):95

    Google Scholar 

  • Murshed M (2020a) Electricity conservation opportunities within private university campuses in Bangladesh. Energy Environ 31(2):256–274. https://doi.org/10.1177/0958305X19857209

    Article  Google Scholar 

  • Murshed M (2020b) Are trade liberalization policies aligned with renewable energy transition in low and middle income countries? An instrumental variable approach. Renew Energy 151:1110–1123. https://doi.org/10.1016/j.renene.2019.11.106

    Article  Google Scholar 

  • Murshed M (2020c) Revisiting the deforestation-induced EKC hypothesis: the role of Democracy in Bangladesh. GeoJournal. https://doi.org/10.1007/s10708-020-10234-z

    Article  Google Scholar 

  • Murshed M (2020d) An empirical analysis of the non-linear impacts of ICT-trade openness on renewable energy transition, energy efficiency, clean cooking fuel access and environmental sustainability in South Asia. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-020-09497-3

    Article  Google Scholar 

  • Murshed M (2020e) LPG consumption and environmental Kuznets Curve hypothesis in South Asia: a time-series ARDL analysis with multiple structural breaks. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-020-10701-7

    Article  Google Scholar 

  • Murshed M, Dao NTT (2020) Revisiting the CO2 emission-induced EKC hypothesis in South Asia: the role of export quality improvement. GeoJournal. https://doi.org/10.1007/s10708-020-10234-z

    Article  Google Scholar 

  • Murshed M, Tanha MM (2020) Oil price shocks and renewable energy transition: Empirical evidence from net oil-importing South Asian economies. Energy Ecol Environ. https://doi.org/10.1007/s40974-020-00168-0

    Article  Google Scholar 

  • Murshed M, Abbass K, Rashid S (2020a) Modeling renewable energy adoption across south Asian economies: empirical evidence from Bangladesh, India, Pakistan and Sri Lanka. Int J Finance Econ. https://doi.org/10.1002/ijfe.2073

    Article  Google Scholar 

  • Murshed M, Ali SR, Banerjee S (2020b) Consumption of liquefied petroleum gas and the EKC hypothesis in South Asia: evidence from cross-sectionally dependent heterogeneous panel data with structural breaks. Energy Ecol Environ. https://doi.org/10.1007/s40974-020-00185-z

    Article  Google Scholar 

  • Murshed M, Nurmakhanova M, Elheddad M, Ahmed R (2020c) Value addition in the services sector and its heterogeneous impacts on CO 2 emissions: revisiting the EKC hypothesis for the OPEC using panel spatial estimation techniques. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-020-09593-4

    Article  Google Scholar 

  • Murshed M, Ferdaus J, Rashid S, Tanha MM, Islam J (2020d) The environmental Kuznets Curve hypothesis for deforestation in Bangladesh: an ARDL analysis with multiple structural breaks. Energy Ecol Environ. https://doi.org/10.1007/s40974-020-00188-w

    Article  Google Scholar 

  • Nurulin YR, Skvortsova IV, Kalchenko OA (2019) Energy planning and energy efficiency in smart city areas. In: SHS web of conferences, vol 61. EDP Sciences, p 01017

  • Omer AM (2008) Energy, environment and sustainable development. Renew Sustain Energy Rev 12(9):2265–2300

    MathSciNet  Google Scholar 

  • Ożadowicz A (2017) A new concept of active demand side management for energy efficient prosumer microgrids with smart building technologies. Energies 10(11):1771

    Google Scholar 

  • Palit D, Bandyopadhyay KR (2016) Rural electricity access in South Asia: is grid extension the remedy? A critical review. Renew Sustain Energy Rev 60:1505–1515

    Google Scholar 

  • Panajotovic B, Jankovic M, Odadzic B (2011) ICT and smart grid. In: Proceedings for the 10th international conference on telecommunication in modern satellite cable and broadcasting services, pp 118–121

  • Park Y, Meng F, Baloch MA (2018) The effect of ICT, financial development, growth, and trade openness on CO2 emissions: an empirical analysis. Environ Sci Pollut Res 25(30):30708–30719

    Google Scholar 

  • Pata UK (2018) Renewable energy consumption, urbanization, financial development, income and CO2 emissions in Turkey: testing EKC hypothesis with structural breaks. J Clean Prod 187:770–779

    Google Scholar 

  • Pesaran MH (2004) General diagnostic tests for cross section dependence in panels. Cambridge working paper in economics no. 0435

  • Pesaran MH (2007) A simple panel unit root test in the presence of cross-section dependence. J Appl Econom 22(2):265–312

    MathSciNet  Google Scholar 

  • Petroleum British (2018) Statistical review of world energy. British Petroleum, London

    Google Scholar 

  • Rajbongshi R, Borgohain D, Mahapatra S (2017) Optimization of PV-biomass-diesel and grid base hybrid energy systems for rural electrification by using HOMER. Energy 126:461–474

    Google Scholar 

  • Roche OM, Blanchard RE (2018) Design of a solar energy centre for providing lighting and income-generating activities for off-grid rural communities in Kenya. Renew Energy 118:685–694

    Google Scholar 

  • Rockström J, Gaffney O, Rogelj J, Meinshausen M, Nakicenovic N, Schellnhuber HJ (2017) A roadmap for rapid decarbonization. Science 355(6331):1269–1271

    Google Scholar 

  • Rodríguez Casal C, Van Wunnik C, Delgado Sancho L, Claude Burgelman J, Desruelle P (2005) How will ICTs affect our environment in 2020? Foresight 7(1):77–87. https://doi.org/10.1108/14636680510581330

    Article  Google Scholar 

  • Saboori B, Sulaiman J (2013) Environmental degradation, economic growth and energy consumption: evidence of the environmental Kuznets curve in Malaysia. Energy Policy 60:892–905

    Google Scholar 

  • Salman M, Long X, Dauda L, Mensah CN (2019) The impact of institutional quality on economic growth and carbon emissions: evidence from Indonesia, South Korea and Thailand. J Clean Prod 241:118331

    Google Scholar 

  • Sharif A, Raza SA, Ozturk I, Afshan S (2019) The dynamic relationship of renewable and nonrenewable energy consumption with carbon emission: a global study with the application of heterogeneous panel estimations. Renewable Energy 133:685–691

    Google Scholar 

  • Shawon MH, Muyeen SM, Ghosh A, Islam SM, Baptista MS (2019) Multi-agent systems in ICT enabled smart grid: a status update on technology framework and applications. IEEE Access 7:97959–97973

    Google Scholar 

  • Skea J, Van Diemen R, Hannon M, Gazis E, Rhodes A (2019) Energy innovation for the twenty-first century. Edward Elgar Publishing, Cheltenham

    Google Scholar 

  • Smil V, Knowland WE (1980) Energy in the developing world: the real energy crisis

  • Smith LV, Leybourne S, Kim T-H, Newbold P (2004) More powerful panel data unit root tests with an application to mean reversion in real exchange rates. J Appl Econ 19:147–170

    Google Scholar 

  • Sousa T, Soares T, Pinson P, Moret F, Baroche T, Sorin E (2019) Peer-to-peer and community-based markets: a comprehensive review. Renew Sustain Energy Rev 104:367–378

    Google Scholar 

  • Stallo C, De Sanctis M, Ruggieri M, Bisio I, Marchese M (2010) ICT applications in green and renewable energy sector. In: 2010 19th IEEE international workshops on enabling technologies: infrastructures for collaborative enterprises. IEEE, pp 175–179

  • Urmee T, Harries D, Schlapfer A (2009) Issues related to rural electrification using renewable energy in developing countries of Asia and Pacific. Renew Energy 34(2):354–357

    Google Scholar 

  • Valentine SV (2011) Emerging symbiosis: renewable energy and energy security. Renew Sustain Energy Rev 15(9):4572–4578

    Google Scholar 

  • van Alphen K, van Sark WG, Hekkert MP (2007) Renewable energy technologies in the Maldives—determining the potential. Renew Sustain Energy Rev 11(8):1650–1674

    Google Scholar 

  • Vanek J (1968) The factor proportions theory: the n-factor case. Kyklos 21(4):749–756

    Google Scholar 

  • Vivoda V (2010) Evaluating energy security in the Asia-Pacific region: a novel methodological approach. Energy Policy 38(9):5258–5263

    Google Scholar 

  • Wang Y, Sanchez Rodrigues V, Evans L (2015) The use of ICT in road freight transport for CO2 reduction–an exploratory study of UK’s grocery retail industry. Int J Logist Manag 26(1):2–29

    Google Scholar 

  • Weiller C, Neely A (2014) Using electric vehicles for energy services: industry perspectives. Energy 77:194–200

    Google Scholar 

  • Westerlund J (2007) Testing for error correction in panel data. Oxford Bull Econ Stat 69(6):709–748

    Google Scholar 

  • Westerlund J (2008) Panel cointegration tests of the fisher effects. J Appl Econ 23:193–233

    MathSciNet  Google Scholar 

  • Worighi I, Maach A, Hafid A, Hegazy O, Van Mierlo J (2019) Integrating renewable energy in smart grid system: architecture, virtualization and analysis. Sustain Energy Grids Netw 18:100226

    Google Scholar 

  • World Bank (2020) World development indicators database. The World Bank

  • World Energy Council (2018) The role of ICT in energy efficiency management: household sector. https://www.worldenergy.org/wp-content/uploads/2018/06/20180420_TF_paper_final.pdf

  • Xue Y, Cai B, James G, Dong Z, Wen F, Xue F (2014) Primary energy congestion of power systems. J Modern Power Syst Clean Energy 2(1):39–49

    Google Scholar 

  • Yang M, Yu X (2015) Energy efficiency: benefits for environment and society. Springer, Berlin

    Google Scholar 

  • Yasmin N, Grundmann P (2019) Adoption and diffusion of renewable energy—the case of biogas as alternative fuel for cooking in Pakistan. Renew Sustain Energy Rev 101:255–264

    Google Scholar 

  • Zafar R, Mahmood A, Razzaq S, Ali W, Naeem U, Shehzad K (2018) Prosumer based energy management and sharing in smart grid. Renew Sustain Energy Rev 82:1675–1684

    Google Scholar 

  • Zafar MW, Shahbaz M, Hou F, Sinha A (2019) From nonrenewable to renewable energy and its impact on economic growth: the role of research & development expenditures in Asia-Pacific Economic Cooperation countries. J Clean Prod 212:1166–1178

    Google Scholar 

  • Zhang C, Wu J, Zhou Y, Cheng M, Long C (2018) Peer-to-Peer energy trading in a Microgrid. Appl Energy 220:1–12

    Google Scholar 

  • Zhang J, Wang B, Latif Z (2019) Towards cross-regional sustainable development: the nexus between information and communication technology, energy consumption, and CO2 emissions. Sustain Dev 27(5):990–1000

    Google Scholar 

Download references

Acknowledgements

The authors express their gratitude to the anonymous reviewers for their efforts in reviewing the paper and suggesting key modifications that have enhanced the quality of the article. The authors also thank the editor for his cooperation during the review process.

Funding

No funding was received to conduct this research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Muntasir Murshed.

Ethics declarations

Conflict of interest

The authors report no conflict of interest of any sort.

Appendix

Appendix

See Tables 11, 12, 13 and 14.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Murshed, M., Chadni, M.H. & Ferdaus, J. Does ICT trade facilitate renewable energy transition and environmental sustainability? Evidence from Bangladesh, India, Pakistan, Sri Lanka, Nepal and Maldives. Energ. Ecol. Environ. 5, 470–495 (2020). https://doi.org/10.1007/s40974-020-00190-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40974-020-00190-2

Keywords

JEL Classifications

Navigation