Oil price shocks and renewable energy transition: Empirical evidence from net oil-importing South Asian economies

Muntasir Murshed , Muntaha Masud Tanha

Energy, Ecology and Environment ›› 2020, Vol. 6 ›› Issue (3) : 183 -203.

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Energy, Ecology and Environment ›› 2020, Vol. 6 ›› Issue (3) : 183 -203. DOI: 10.1007/s40974-020-00168-0
Original Article

Oil price shocks and renewable energy transition: Empirical evidence from net oil-importing South Asian economies

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Abstract

This paper makes a novel attempt to model the nonlinear association between renewable energy consumption and crude oil prices concerning four net oil-importing South Asian economies: Bangladesh, India, Pakistan and Sri Lanka. Using annual data from 1990 to 2018, the long-run elasticity estimates confirm the nonlinear nexus and suggest that although rising crude oil prices do not facilitate renewable energy consumption initially, upon reaching a threshold level of crude oil price, further hikes in the oil prices are likely to elevate the renewable energy consumption figures. The estimated real oil price threshold, in this regard, is predicted to be around 135 US dollars per barrel, which is way above the prevailing oil price level. Identical nonlinearity is also confirmed in the context of the oil prices and renewable energy share in total final energy consumption volumes. Moreover, the nexus between renewable electricity share in aggregate electricity outputs and crude oil prices is also seen to exhibit nonlinearity. However, rising crude oil prices were not found to enhance the renewable electricity shares. Besides, the causality results implicated that movements in crude oil prices influenced the renewable energy transition process across the concerned South Asian economies. Thus, these results, in a nutshell, impose critically important policy implications for attainment of energy security and environmental sustainability in South Asia, particularly via curbing the traditional imported crude oil-dependencies of these nations.

Keywords

Renewable energy / Crude oil price / Renewable energy transition / South Asia / Cross-sectional dependency / Net oil-importing economies / Economics / Applied Economics

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Muntasir Murshed, Muntaha Masud Tanha. Oil price shocks and renewable energy transition: Empirical evidence from net oil-importing South Asian economies. Energy, Ecology and Environment, 2020, 6(3): 183-203 DOI:10.1007/s40974-020-00168-0

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References

[1]

ApergisN, PayneJE. Renewable energy, output, CO2 emissions, and fossil fuel prices in Central America: evidence from a nonlinear panel smooth transition vector error correction model. Energy Econ, 2014, 42: 226-232

[2]

ApergisN, PayneJE. The causal dynamics between renewable energy, real GDP, emissions and oil prices: evidence from OECD countries. Appl Econ, 2014, 46364519-4525

[3]

ApergisN, PayneJE. Renewable energy, output, carbon dioxide emissions, and oil prices: evidence from South America. Energy Sources B Econ Plan Policy, 2015, 103281-287

[4]

AshenfelterO, HeckmanJ. The estimation of income and substitution effects in a model of family labor supply. Econom J Econom Soc, 1974, 42: 73-85

[5]

AzadAK, RasulMG, KhanMMK, OmriA, BhuiyaMMK, AliMH. Modelling of renewable energy economy in Australia. Energy Procedia, 2014, 61: 1902-1906

[6]

BondS, EberhardtMAccounting for unobserved heterogeneity in panel time series models, 2013OxfordUniversity of Oxford

[7]

BPDB (2017) Bangladesh Power Development Board website. https://dpdc.org.bd/article/view/52/Tariff&

[8]

BreuschTS, PaganAR. The Lagrange multiplier test and its applications to model specification in econometrics. Rev Econ Stud, 1980, 471239-253

[9]

British PetroleumStatistical review of world energy 2019, 2019LondonBritish Petroleum

[10]

Chudik A, Pesaran MH (2013) Large panel data models with cross-sectional dependence: a survey. CAFE Research Paper (13.15)

[11]

Climatoscope (2019) Emerging markets outlook 2019: energy transition in the world’s fastest growing economies. Bloomberg New Energy Finance. http://global-climatescope.org/assets/data/reports/climatescope-2019-report-en.pdf

[12]

CunadoJ, JoS, de GraciaFP. Macroeconomic impacts of oil price shocks in Asian economies. Energy Policy, 2015, 86: 867-879

[13]

DametteO, MarquesAC. Renewable energy drivers: a panel cointegration approach. Appl Econ, 2019, 51262793-2806

[14]

DongK, SunR, DongX. CO2 emissions, natural gas and renewables, economic growth: assessing the evidence from China. Sci Total Environ, 2018, 640: 293-302

[15]

DumitrescuEI, HurlinC. Testing for Granger non-causality in heterogeneous panels. Econ Model, 2012, 2941450-1460

[16]

GrangerCWJ. Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 1969, 37: 424-438

[17]

GuptaE. Oil vulnerability index of oil-importing countries. Energy Policy, 2008, 3631195-1211

[18]

Harder A (2019) Solar power costs plummet across South Asia and the Pacific. Axios. Retrieved from https://www.axios.com/solar-power-south-asia-pacific-renewable-energy-eee36b8e-bf78-483e-83ed-c2544bb9b8f0.html

[19]

IRENA (2019) Renewable Power Generation Costs in 2018, International Renewable Energy Agency, Abu Dhabi. https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2019/May/IRENA_Renewable-Power-Generations-Costs-in-2018.pdf

[20]

JiQ, ZhangD. How much does financial development contribute to renewable energy growth and upgrading of energy structure in China?. Energy Policy, 2019, 128: 114-124

[21]

KrugerPAlternative energy resources: the quest for sustainable energy, 2006HobokenWiley

[22]

LleraE, ScarpelliniS, ArandaA, ZabalzaI. Forecasting job creation from renewable energy deployment through a value-chain approach. Renew Sustain Energy Rev, 2013, 21: 262-271

[23]

MarquesAC, FuinhasJA. Drivers promoting renewable energy: a dynamic panel approach. Renew Sustain Energy Rev, 2011, 1531601-1608

[24]

MohsinM, ZhouP, IqbalN, ShahSAA. Assessing oil supply security of South Asia. Energy, 2018, 155: 438-447

[25]

MrabetZ, AlsamaraM, SalehAS, AnwarS. Urbanization and non-renewable energy demand: a comparison of developed and emerging countries. Energy, 2019, 170: 832-839

[26]

MurshedM. Does improvement in trade openness facilitate renewable energy transition? Evidence from selected South Asian economies. South Asia Econ J, 2018, 192151-170

[27]

MurshedM. Electricity conservation opportunities within private university campuses in Bangladesh. Energy Environ, 2019, 31: 256-274

[28]

MurshedM. Are Trade Liberalization policies aligned with renewable energy transition in low and middle income countries? An instrumental variable approach. Renew Energy, 2020, 151: 1111-1123.

[29]

Nissanka R, Konaris T (2010) Bioenergy in Sri Lanka: resources, applications and initiatives. Policy Innovation Systems for Clean Energy Security Working Paper. https://assets.publishing.service.gov.uk/media/57a08b12ed915d622c000aab/PISCES_Sri_Lanka_Bioenergy_Working_Paper.pdf

[30]

OEA (2020) Indian Wholesale Price Index (WPI) Data. Office of the Economic Advisor, India. Retrieved from: https://eaindustry.nic.in/download_data_1112.asp. Accessed 18 March 2020

[31]

OmriA, NguyenDK. On the determinants of renewable energy consumption: international evidence. Energy, 2014, 72: 554-560

[32]

OseniMO. Improving households’ access to electricity and energy consumption pattern in Nigeria: renewable energy alternative. Renew Sustain Energy Rev, 2012, 1663967-3974

[33]

PainulyJP. Barriers to renewable energy penetration: a framework for analysis. Renew Energy, 2001, 24173-89

[34]

PayneJE. The causal dynamics between US renewable energy consumption, output, emissions, and oil prices. Energy Sources B Econ Plan Policy, 2012, 74323-330

[35]

PedroniP. Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bull Econ Stat, 1999, 61S1653-670

[36]

PerryS, KlemešJ, BulatovI. Integrating waste and renewable energy to reduce the carbon footprint of locally integrated energy sectors. Energy, 2008, 33101489-1497

[37]

Pesaran MH (2004) General diagnostic tests for cross section dependence in panels. Cambridge Working Paper in Economics No. 0435

[38]

PesaranMH. Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 2006, 744967-1012

[39]

PesaranMH. A simple panel unit root test in the presence of cross-section dependence. J Appl Econ, 2007, 222265-312

[40]

PesaranMH, SmithR. Estimating long-run relationships from dynamic heterogeneous panels. J Econom, 1995, 68179-113

[41]

PesaranMH, YamagataT. Testing slope homogeneity in large panels. J Econom, 2008, 142150-93

[42]

Rentschler JE (2013) Oil price volatility, economic growth and the hedging role of renewable energy. The World Bank

[43]

RhodesCJ. The 2015 Paris climate change conference: COP21. Sci Prog, 2016, 99197-104

[44]

Robbins A (2016) How to understand the results of the climate change summit: Conference of Parties21 (COP21) Paris 2015

[45]

SadorskyP. Renewable energy consumption, CO2 emissions and oil prices in the G7 countries. Energy Econ, 2009, 313456-462

[46]

SariR, EwingBT, SoytasU. The relationship between disaggregate energy consumption and industrial production in the United States: an ARDL approach. Energy Econ, 2008, 3052302-2313

[47]

SenR, BhattacharyyaSC. Off-grid electricity generation with renewable energy technologies in India: an application of HOMER. Renew Energy, 2014, 62: 388-398

[48]

ShahIH, HilesC, MorleyB. How do oil prices, macroeconomic factors and policies affect the market for renewable energy?. Appl Energy, 2018, 215: 87-97

[49]

ShakeelSR, TakalaJ, ShakeelW. Renewable energy sources in power generation in Pakistan. Renew Sustain Energy Rev, 2016, 64: 421-434

[50]

ShenYC, LinGT, LiKP, YuanBJ. An assessment of exploiting renewable energy sources with concerns of policy and technology. Energy Policy, 2010, 3884604-4616

[51]

The Economist (2014) Why is renewable energy so expensive? The Economist. Retrieved from https://www.economist.com/the-economist-explains/2014/01/05/why-is-renewable-energy-so-expensive

[52]

Times of Islamabad (2019 December 26) Electricity prices increased yet again significantly in Pakistan. Times of Islamabad. https://timesofislamabad.com/26-Dec-2019/electricity-prices-increased-yet-again-significantly-in-pakistan

[53]

UrmeeT, HarriesD, SchlapferA. Issues related to rural electrification using renewable energy in developing countries of Asia and Pacific. Renew Energy, 2009, 342354-357

[54]

ValentineSV. Emerging symbiosis: renewable energy and energy security. Renew Sustain Energy Rev, 2011, 1594572-4578

[55]

Villavicencio CalzadillaP, MaugerR. The UN’s new sustainable development agenda and renewable energy: the challenge to reach SDG7 while achieving energy justice. J Energy Nat Resour Law, 2018, 362233-254

[56]

Widdershoven C (2020, May 03) A major bull run is forming in oil markets. Retrieved from: https://oilprice.com/Energy/Energy-General/A-Major-Bull-Run-Is-Forming-In-Oil-Markets.html

[57]

Wood Mackenzie (2019) Battle for the future: Asia Pacific renewable power competitiveness 2019. Wood Mackenzie. https://www.woodmac.com/reports/power-markets-battle-for-the-future-asia-pacific-renewable-power-competitiveness-2019-330243/

[58]

World Bank (2019) World Development Indicators. The World Bank

[59]

YasmeenH, WangY, ZameerH, SolangiYA. Does oil price volatility influence real sector growth? Empirical evidence from Pakistan. Energy Rep, 2019, 5: 688-703

[60]

ZeminJ. Reflections on energy issues in China. J Shanghai Jiaotong Univ, 2008, 3: 2

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