Empirical Evidence in Ecuador between Economic Growth and Environmental Deterioration
| Autor: | Priscilla Massa-Sánchez, Ronny Correa-Quezada, Luis Quintana-Romero, María de la Cruz del Río-Rama |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Natural resource economics
020209 energy media_common.quotation_subject Geography Planning and Development Population Control variable TJ807-830 02 engineering and technology co2 emissions 010501 environmental sciences Management Monitoring Policy and Law Gross value added TD194-195 01 natural sciences Renewable energy sources 2509.02 Contaminación Atmosférica 5302 Econometría 0202 electrical engineering electronic engineering information engineering Per capita Economics GE1-350 education Environmental degradation 0105 earth and related environmental sciences media_common education.field_of_study Variables Environmental effects of industries and plants Renewable Energy Sustainability and the Environment 5307.08 Teoría del Crecimiento Económico Regression analysis spatial panel models economic growth Environmental sciences environmental deterioration Panel data |
| Zdroj: | Sustainability, Vol 12, Iss 3, p 853 (2020) Sustainability Volume 12 Issue 3 Investigo. Repositorio Institucional de la Universidade de Vigo Universidade de Vigo (UVigo) |
| ISSN: | 2071-1050 |
| Popis: | Currently, obtaining evidence of the correlation between economic growth and environmental deterioration is of great relevance. Due to an increase in economic activity, an increase in CO2 emissions and its possible effects on the current climate change is very worrying. The studies that analyze this correlation serve as a basis for the awareness of countries and the establishment of policies worldwide to curb such deterioration. The objective of this research is achieved through a panel data model and spatial econometric techniques to address the relationship between economic growth and environmental degradation in Ecuador. A regression model is proposed where the deterioration dependent variable is CO2 emissions, which is also an independent variable for the provincial gross value added. Poverty and inequality are considered as control variables in order to observe their effects on CO2 emission. The results are coherent with what is stated by the theory and describe an inverted U-shaped curve. They also show that the generation of pollutant emissions is directly related to the growth of the vehicle fleet and inversely related with the population&rsquo s schooling levels. The spatial effects are significant and the spatial impact multipliers indicate that the strongest direct and indirect effect is the one caused by the generation of car emissions per capita. This variable is relevant for the design of public policy aimed at improving environmental quality. |
| Databáze: | OpenAIRE |
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