RESUMEN
Despite the considerable contributions of remittances to households and economic advancements, their environmental implications have received little attention in empirical research. This study was, therefore, conducted to help fill that gap, using Ghana as an evidence. In achieving the above goal, robust econometric methods that control for endogeneity, heteroscedasticity and serial correlation among others, were engaged for the analysis. From the results, the studied variables were first-differenced stationary and cointegrated in the long run. The elasticities of the predictors were explored via the FMOLS, DOLS and CCR estimators, and from the results, remittance inflows worsened the ecological quality in Ghana through high CO2 emissions. Also, population growth and energy utilization were not friendly to the country's environment; however, technological innovations improved environmental quality in the nation via low CO2 effusions. The VECM was employed to examine the path of causalities amidst the series, and from the results, there were bidirectional causalities between remittance inflows and CO2 emissions and between population growth and CO2 emanations. Also, a causation from energy utilization to CO2 effluents was discovered; however, there was no causality between technological innovations and CO2 exudates in the country. Based on the findings, it was recommended among others that, authorities should enact regulations to control the activities of polluting industries that are being financed by remittances. Also, households and individuals should minimize their use of remittances to finance carbon-intensive items, like automobiles and air-conditioners among others, that add to environmental pollution in the country.
Asunto(s)
Dióxido de Carbono , Desarrollo Económico , Carbono , Dióxido de Carbono/análisis , Contaminación Ambiental , Ghana , HumanosRESUMEN
This study examined the nexus between energy consumption and environmental quality in light of China's 2060 carbon-neutrality agenda utilizing annual frequency data from 1971 to 2018. In order to obtain valid and reliable outcomes, more robust econometric techniques were employed for the analysis. From the results, all the variables were first differenced stationary and cointegrated in the long-run. The elastic effects of the predictors on the explained variable were explored through the ARDL, FMOLS, and the DOLS techniques, and from the discoveries, energy utilization worsened environmental quality in the country via more CO2 emissions. Also, industrialization and urbanization deteriorated the country's environmental quality; however, technological innovations improved ecological quality in the nation. On the causal connections between the variables, a unidirectional causality from energy consumption to CO2 effluents was discovered. Also, feedback causalities between industrialization and CO2 secretions, and between urbanization and CO2 exudates were disclosed. However, there was no causality between technological innovations and CO2 emanations. Based on the findings, the study recommended among others that, since energy consumption pollutes the environment, the country should transition to the utilization of renewable energies. Also, the government should allocate more resources to the renewable energy sector. This will help increase the portion of clean energy in the country's total energy mix. Furthermore, research and development that are linked to the utilization of green energies should be supported by the government. Data constraints were the main limitation of this exploration. Therefore, in the future, if more data become available, similar explorations could be conducted to check the robustness of our study's outcomes.
Asunto(s)
Carbono , Desarrollo Económico , Dióxido de Carbono/análisis , China , Energía RenovableRESUMEN
The focus of this exploration was to examine the linkage between trade openness and CO2 effusions in the developing eight (D8) countries. An unbalanced panel dataset spanning the period 1990 to 2016 was employed for the study's analysis. From the results, the studied panel was heterogeneous and cross-sectionally correlated. Also, all the series gained stationarity after first difference and were materially cointegrated in the long run. The elastic effects of the input variables on the output variable were explored through the DCCEMG estimator, with the support of the AMG and the CCEMG estimators. From the results, trade openness increased CO2 emanations in the D8. Also, economic growth, energy consumption, and financial development promoted CO2 secretions in the nations; however, foreign direct investments mitigated the excretion of CO2 in the countries. On the causal connections amid the series, there was a bidirectional causality between trade openness and CO2 emanations. Also, a one-way causal movement from energy consumption, foreign direct investments, and financial development to CO2 effluents was discovered. Based on the findings, it was recommended among others that effective trade policies that could enhance the transfer of cleaner technologies to the countries should be formulated.