Do renewable energy consumption and service industry development contribute to CO2 emissions reduction in BRICS countries?
Description
In recent years, BRICS countries have attached great importance to renewable energy development and actively promoted the shift of economic structure towards service industry, in order to achieve the decoupling of economic development from carbon emissions. However, relevant studies mostly neglect the cross-sectional dependence and heterogeneity issues, which may cause biased results. Therefore, this paper selects the panel data of BRICS countries during 1996–2017 and employs the common correlated effects mean group (CCEMG) method, which are based on the cross-sectional dependence and heterogeneity assumptions, to explore the influence of renewable energy consumption and service industry development on CO2 emissions in BRICS countries. Besides, we also use the random effects model and pooled estimated generalized least squares model, as well as fully modified OLS model for comparison. The results indicate that enhancing the proportion of renewable energy consumption in the total energy consumption is an effective measure to reduce CO2 emissions in BRICS countries. Moreover, the steadily rising contribution of service industry to economic growth in BRICS countries during the sample period does not necessarily contribute to reduce CO2 emissions.
Additional details
Identifiers
Publishing Information
- Journal Title
- Environmental Science and Pollution Research International
- Journal Volume
- 26
- Journal Issue
- 31
- Journal Page Range
- p. 31632-31643
- ISSN
- 0944-1344
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52007254
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- AIR POLLUTION ABATEMENT; AIR POLLUTION CONTROL; AIR POLLUTION MONITORING; CARBON DIOXIDE; ECONOMIC DEVELOPMENT; ENERGY CONSUMPTION; INDUSTRY; LEAST SQUARE FIT; RENEWABLE ENERGY SOURCES
- Descriptors DEC
- CARBON COMPOUNDS; CARBON OXIDES; CHALCOGENIDES; CONTROL; ENERGY SOURCES; MATHEMATICAL SOLUTIONS; MAXIMUM-LIKELIHOOD FIT; MONITORING; NUMERICAL SOLUTION; OXIDES; OXYGEN COMPOUNDS; POLLUTION ABATEMENT; POLLUTION CONTROL
Optional Information
- Copyright
- Copyright (c) 2019 Springer-Verlag GmbH Germany, part of Springer Nature