Convergence of renewable energy consumption in the EU-15: evidence from stochastic and club convergence tests
Creators
- 1. Dokuz Eylul University. Department of Econonomics, Faculty of Business (Turkey)
Description
This paper investigates the convergence of per capita renewable energy consumption across 15 core EU member countries over the period 1990–2018. In addition to the traditional convergence tests, this paper employs a Lagrange multiplier (LM)–based panel unit root test that allows for two endogenously determined structural breaks to test for the stochastic convergence. Given the shortcomings of stochastic convergence tests in light of the possibility of multiple equilibria associated with groups of countries following different convergence paths, the club convergence algorithm is also employed. Traditional cross-sectional tests indicate that both β- and σ-convergence of per capita renewable energy consumption exist across the EU-15 countries. Moreover, the results of stochastic convergence tests reveal that relative per capita renewable energy consumption is converging across the sampled countries over the sample period. However, the club convergence test results suggest the rejection of full panel club convergence and the presence of a certain number of clubs for the variable of interest.
Additional details
Identifiers
Publishing Information
- Journal Title
- Environmental Science and Pollution Research International
- Journal Volume
- 27
- Journal Issue
- 6
- Journal Page Range
- p. 5901-5911
- ISSN
- 0944-1344
- CODEN
- ESPLEC
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55069959
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY; S14: SOLAR ENERGY;
- Descriptors DEI
- ALGORITHMS; CONVERGENCE; DEVELOPING COUNTRIES; ECONOMETRICS; ELECTRIC APPLIANCES; ENERGY CONSERVATION; ENERGY CONSUMPTION; ENERGY DEMAND; ENERGY MANAGEMENT SYSTEMS; EQUILIBRIUM; EUROPEAN UNION; INTEREST RATE; INTERNAL MARKET; PANELS; RENEWABLE ENERGY SOURCES; STOCHASTIC PROCESSES
- Descriptors DEC
- APPLIANCES; CONTROL SYSTEMS; DEMAND; ECONOMICS; ELECTRICAL EQUIPMENT; ENERGY SOURCES; ENERGY SYSTEMS; EQUIPMENT; EUROPEAN UNION; INTERNATIONAL ORGANIZATIONS; MATHEMATICAL LOGIC
Optional Information
- Copyright
- Copyright (c) 2019 © Springer-Verlag GmbH Germany, part of Springer Nature 2019