Diversification of nonhydro renewable energy sources in developing countries

Moises Neil V. Seriño

Energy, Ecology and Environment ›› 2018, Vol. 3 ›› Issue (6) : 317 -329.

PDF
Energy, Ecology and Environment ›› 2018, Vol. 3 ›› Issue (6) : 317 -329. DOI: 10.1007/s40974-018-0106-y
Original Article

Diversification of nonhydro renewable energy sources in developing countries

Author information +
History +
PDF

Abstract

Despite the increasing attention on renewable energy, still there is limited empirical analysis about its determinants especially in developing countries. In this paper, we investigate the determinants of diversification of nonhydro renewable energy sources such as wind, solar, geothermal, biomass and waste using an extensive data set covering more than 100 developing countries from 1980 to 2010. We explore several estimation techniques such as negative binomial regression and Poisson pseudo-maximum likelihood estimation. Controlling for time and regional variations, results show that higher per capita income, implementation of renewable energy policy, advances in technological innovation and improvement in human capital promotes diversification of nonhydro sources of renewable energy. However, financial development showed no robust evidence of its effect on the diversification. Similarly, high dependence on foreign sources of fuel, increasing world market price for crude oil and increasing population will push developing countries to diversify sources of nonhydro renewable energy. In contrast, the local abundance of hydropower, high production of fossil fuel, development aid and foreign direct investment do not contribute to diversification. Results highlight salient information in drawing the roadmap for further diffusion of renewable energy in developing countries. This suggests that policy makers should exert consistent effort in integrating renewable energy in the country’s energy mix.

Keywords

Climate change / Energy security / Nonhydro renewable energy / Developing countries

Cite this article

Download citation ▾
Moises Neil V. Seriño. Diversification of nonhydro renewable energy sources in developing countries. Energy, Ecology and Environment, 2018, 3(6): 317-329 DOI:10.1007/s40974-018-0106-y

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Aguirre M, Ibikunle G. Determinants of renewable energy growth: a global sample analysis. Energy Policy, 2014, 69: 374-384

[2]

Allison P, Walterman R. Fixed-effects negative binomial regression models. Sociol Methodol, 2002, 32: 247-265

[3]

Blenkinsopp T, Coles SR, Kirwan K. Renewable energy for rural communities in Maharashtra, India. Energy Policy, 2013, 60: 192-199

[4]

BP (2014) Energy economics. https://www.bp.com/en/global/corporate/energy-economics.html. Accessed 8 Oct 2014

[5]

Brunnschweiler CN. Finance for renewable energy: an empirical analysis of developing and transition economies. Environ Dev Econ, 2010, 15: 241-274

[6]

Cameron AC, Trivedi P. Regression analysis of count data, 1998 Cambridge Cambridge University Press

[7]

Carley S. State renewable energy electricity policies: an empirical evaluation of effectiveness. Energy Policy, 2009, 37: 3071-3081

[8]

Chang T-H, Huang C-M, Lee M-C. Threshold effect of the economic growth rate on the renewable energy development from a change in energy price: evidence from OECD countries. Energy Policy, 2009, 37: 5796-5802

[9]

Dong CG. Feed-in tariff vs. renewable portfolio standard: an empirical test of their relative effectiveness in promoting wind capacity development. Energy Policy, 2012, 42: 476-485

[10]

Dulal HB, Shah KU, Sapkota C, Uma G, Kandel BR. Renewable energy diffusion in Asia: can it happen without government support?. Energy Policy, 2013, 59: 301-311

[11]

GEA (Global Energy Assessment) (2012) Toward a sustainable future. Cambridge University Press, Cambridge (International Institute for Applied Systems Analysis, Laxenburg, Austria)

[12]

Golub S, Kauffmann C, Yeres P (2011) Defining and measuring green FDI: an exploratory review of existing work and evidence. OECD working papers on International Investment, No. 2011/2, OECD Investment Division. www.oecd.org/daf/investment/workingpapers

[13]

Google (2014) Google maps. https://www.google.com/maps/. Accessed 17 Dec 2014

[14]

Greene W. Functional forms for the negative binomial model for count data. Econ Lett, 2008, 99(2008): 585-590

[15]

Grogger JT, Carson RT. Models for truncated counts. J Appl Econom, 1991, 6: 225-238

[16]

Guimarães P. The fixed effects negative binomial model revisited. Econ Lett, 2008, 99: 63-66

[17]

IEA (International Energy Agency) World energy outlook 2008, 2008 Paris International Energy Agency

[18]

IEA (International Energy Agency) (2012) CO2 emissions from fuel combustion 2012. http://www.iea.org/publications/freepublications/publication/name,4010,en.html. Accessed 21 May 2014

[19]

IEA (International Energy Agency) Renewable energy outlook, world energy outlook, 2013 Paris International Energy Agency

[20]

IEA (International Energy Agency) (2014) IEA—renewable energy. http://www.iea.org/policiesandmeasures/renewableenergy/. Accessed 18 Aug 2018

[21]

IPCC (Intergovernmental Panel on Climate Change) Special report of the IPCC on renewable energy sources and climate change mitigation, 2012 New York Cambridge University Press

[22]

IPCC (Intergovernmental Panel on Climate Change) (2013) Summary for policymakers. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge

[23]

Jakob M, Steckel JC, Klasen S, Lay J, Grunewald N, Martínez-Zarzoso I, Renner S, Edenhofer O. Feasible mitigation actions in developing countries. Nat Clim Change, 2014, 4: 961-968

[24]

Johnstone N, Haščič I, Popp D. Renewable energy policies and technological innovation: evidence based on patent counts. Environ Resource Econ, 2010, 45: 133-155

[25]

Li X. Diversification and localization of energy systems for sustainable development and energy security. Energy Policy, 2005, 33(17): 2237-2243

[26]

Marques AC, Fuinhas JA. Are public policies towards renewables successful? Evidence from European countries. Renewable Energy, 2012, 44: 109-118

[27]

Marques AC, Fuinhas JA, Pires Manso JR. Motivations driving renewable energy in European countries: a panel data approach. Energy Policy, 2010, 38: 6877-6885

[28]

Menz FC, Vachon S. The effectiveness of different policy regimes for promoting wind power: experiences from the states. Energy Policy, 2006, 34: 1786-1796

[29]

Ohler A, Fetters I. The causal relationship between renewable electricity generation and GDP growth: a study of energy sources. Energy Econ, 2014, 43: 125-139

[30]

Painuly JP, Wohlgemuth N. Renewable energy financing—what can we learn from experience in developing countries?. Energy Stud Rev, 2006, 14(2): 154-170

[31]

Pfeiffer B, Mulder P. Explaining the diffusion of renewable energy technology in developing countries. Energy Econ, 2013, 40: 285-296

[32]

Popp D. International technology transfer, climate change, and the clean development mechanism. Rev Environ Econ Policy, 2011, 5: 131-152

[33]

Popp D, Hascic I, Medhi N. Technology and the diffusion of renewable energy. Energy Econ, 2011, 33: 648-662

[34]

REN21 (2013) Renewables global status report. http://www.ren21.net/REN21Activities/GlobalStatusReport.aspx. Accessed 21 May 2014

[35]

Sadorsky P. Renewable energy consumption, CO2 emissions and oil prices in the G7 countries. Energy Econ, 2009, 31: 456-462

[36]

Saidi L, Fnaiech F. Experiences in renewable energy and energy efficiency in Tunisia: case study of a developing country. Renew Sustain Energy Rev, 2014, 32: 729-738

[37]

Salim RA, Rafiq S. Why do some emerging economies proactively accelerate the adoption of renewable energy?. Energy Econ, 2012, 34: 1051-1057

[38]

Santos Silva JMC, Tenreyro S. On the existence of the maximum likelihood estimates in Poisson regression. Econ Lett, 2010, 107: 310-312

[39]

Seriño MNV. Is decoupling possible? Association between affluence and household carbon emissions in the Philippines. Asian Econ J, 2017, 31(2): 165-185

[40]

Seriño MNV, Klasen S. Estimation and determinants of the Philippines’ household carbon footprint. Dev Econ, 2015, 53(1): 44-62

[41]

Thiam DR. An energy pricing scheme for the diffusion of decentralized renewable technology investment in developing countries. Energy Policy, 2011, 39: 4284-4297

[42]

UNFCCC (United Nations Framework Convention on Climate Change) (2014) Clean development mechanism, Unite Nations framework convention on climate change. http://cdm.unfccc.int/about/index.html. Accessed 23 May 2014

[43]

U.S. EIA (Energy Information Administration) (2015) Data tools, apps and maps. https://www.eia.gov/tools/. Accessed 10 Dec 2015

[44]

Vachon S, Menz FC. The role of social, political, and economic interests in promoting state green electricity policies. Environ Sci Policy, 2006, 9: 652-662

[45]

Van Hove L. Diversification of primary energy consumption in six west european countries: quantification and analysis by means of measures of concentration. Energy Econ, 1993, 15(4): 239-244

[46]

Watson J, Sauter R. Sustainable innovation through leapfrogging: a review of the evidence. Int J Technol Glob, 2011, 5: 170

[47]

Winkelmann R. Econometric analysis of count data, 2000 Heidelberg Springer

[48]

World Bank (2014) World development indicator. https://data.worldbank.org/products/wdi. Accessed 18 Nov 2014

[49]

World Bank (2018) Regional classification. https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups. Accessed 21 Feb 2017

[50]

Zhao Y, Tang KK, Wang L. Do renewable electricity policies promote renewable electricity generation? Evidence from panel data. Energy Policy, 2013, 62: 887-897

Funding

Erasmus Mundus EXEPRTS I

AI Summary AI Mindmap
PDF

176

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/