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Link between Technically Derived Energy Efficiency and Ecological Footprint: Empirical Evidence from the ASEAN Region

doi: 10.3390/en14133923
The sustainable environment has been a desired situation around the world for the last few decades. Environmental contaminations can be a consequence of various economic activities. Different socio-economic factors influence the environment positively or negatively. Many previous studies have resulted in the efficient allocation of inputs as an environment-friendly component. This paper investigates the effects of energy efficiency on ecological footprint in the ASEAN region using balanced panel data from 2001 to 2019. First, this paper technically derives the energy efficiency, using the stochastic frontier analysis (SFA) of the translog production type of single output and multiple inputs. Findings of the SFA show that the Philippines and Singapore have the highest energy efficiency (94%) and Laos has the lowest energy efficiency (85%) in the ASEAN region. The estimated average efficiency score of the ASEAN region was around 90%, ranging from 85% to 96%, indicating that there is still 10% room for improvement in energy efficiency. Second, this study employed the panel autoregressive distributed lag (ARDL) model to explore the short run and long run impact of technically derived energy efficiency on ecological footprint in the ASEAN region. Results of the panel ARDL model show that energy efficiency is a reducing factor of ecological footprint in the long run. Moreover, energy efficiency plays a significant role to control the environmental contaminations. In addition, results of this study also explored that urbanization is an increasing factor of ecological footprint, and investment in agriculture is also beneficial for the environment. Moreover, to obtain the directional nature of the associations between the ecological footprint and its independent variables, this paper has employed the paired-panel Granger causality test. The results of the paired wise panel Granger causality test also confirm that the energy efficiency, urbanization, and investment in agriculture cause ecological footprint. Finally, this study recommends that efficient utilization of energy resources as well as investment in agriculture are necessary for sustainable environment.
- Hungarian University of Agriculture and Life Sciences Hungary
- Magyar Tudományos Akadémia Könyvtára (Library of the Hungarian Academy of Sciences) Hungary
- Library and Information Centre of the Hungarian Academy of Sciences Hungary
- Ural Federal University Russian Federation
- FEDERAL STATE AUTONOMOUS EDUCATIONAL INSTITUTION OF HIGHER PROFESSIONAL EDUCATION NOTHERN (ARCTIC) FEDERAL UNIVERSITY Russian Federation
INDEPENDENT VARIABLES, Technology, AGRICULTURE, STATISTICAL TESTS, EFFICIENT ALLOCATIONS, SOCIO-ECONOMIC FACTOR, 338, ECOLOGY, ENVIRONMENT FRIENDLY, GRANGER CAUSALITY, ENVIRONMENTAL CONTAMINATION, H Social Sciences (General) / társadalomtudomány általában, SUSTAINABLE ENVIRONMENT, STOCHASTIC FRONTIER ANALYSIS, GRANGER CAUSALITY TEST, ECOLOGICAL FOOTPRINT, energy efficiency, INVESTMENTS, ECONOMICS, ENERGY EFFICIENCY, T, ENERGY RESOURCES, STOCHASTIC SYSTEMS, ecological footprint, AGRICULTURAL ROBOTS, PANEL ARDL MODEL, Granger causality, ecological footprint; energy efficiency; panel ARDL model; Granger causality; ASEAN, SUSTAINABLE DEVELOPMENT, panel ARDL model, ECONOMIC AND SOCIAL EFFECTS, ASEAN
INDEPENDENT VARIABLES, Technology, AGRICULTURE, STATISTICAL TESTS, EFFICIENT ALLOCATIONS, SOCIO-ECONOMIC FACTOR, 338, ECOLOGY, ENVIRONMENT FRIENDLY, GRANGER CAUSALITY, ENVIRONMENTAL CONTAMINATION, H Social Sciences (General) / társadalomtudomány általában, SUSTAINABLE ENVIRONMENT, STOCHASTIC FRONTIER ANALYSIS, GRANGER CAUSALITY TEST, ECOLOGICAL FOOTPRINT, energy efficiency, INVESTMENTS, ECONOMICS, ENERGY EFFICIENCY, T, ENERGY RESOURCES, STOCHASTIC SYSTEMS, ecological footprint, AGRICULTURAL ROBOTS, PANEL ARDL MODEL, Granger causality, ecological footprint; energy efficiency; panel ARDL model; Granger causality; ASEAN, SUSTAINABLE DEVELOPMENT, panel ARDL model, ECONOMIC AND SOCIAL EFFECTS, ASEAN
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