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This paper analyzes the relationship between Foreign Direct Investment (FDI), economic growth, and institutional quality to maintain sustainable energy efficiency in BRICS. The objective of our study is to decompose which elements collectively impact the uptake of sustainable energy practices. A comprehensive dataset and an advanced econometric model Data Envelopment Analysis (DEA) are employed to investigate the dynamics at play. It has been done through comprehensive research to understand these FDI mechanisms driving the sustainable energy transition, bringing forth the fundamental role of strong institutions and sustained growth. In contrast to existing models, the analysis incorporates institutional quality, providing a fresh perspective on the impact of this factor on FDI and economic development in the BRICS economies. Findings show the crucial position FDI holds in developing sustainable energy and the institutional structure's effectiveness in accomplishing the current objectives. We have kept the position of economic growth, which serves as the essential driver for environmentally friendly use of energy resources. Our results have shown that FDI in sustainable energy is a requisite for economic growth improvement and the need for such progress to be supported by effective institutions to facilitate intra-regional investments.
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A bulk of literature has examined the asymmetric impact of renewable energy consumption on CO2 emissions by using the advanced econometric approach. While the asymmetric role of renewable energy production in the CO2 equation is largely unknown, our present study quantifies the asymmetric relationship between renewable energy production, natural resources, economic progress, and CO2 emission for Pakistan by using the NARDL approach. It is found that positive change in renewable energy production has a positive effect on CO2 emissions, while a negative change in renewable energy production has a negative effect on CO2 emissions in the long run. Furthermore, a positive and negative change in natural resources contributes negatively to CO2 emissions in the long run. The results reveal that a positive change in economic progress significantly increases CO2 emissions in the long run. Based on findings, Pakistan's government should encourage local and international investors to increase their investment in the production of renewable energy by reducing environmental degradation.
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Dióxido de Carbono , Desenvolvimento Econômico , Dióxido de Carbono/análise , Recursos Naturais , Paquistão , Energia RenovávelRESUMO
The accumulation of carbon dioxide in the atmosphere has surged over the years as a consequence of diverse humans activities such as deforestation and farming, in particular. The rapidly growing agriculture and farm mechanization have contributed to substantial increases in energy use and carbon dioxide emissions across the globe. It is hypothesized that agriculture significantly contributes to a country's economy to which China is no exception. Hence, the main intention of the current study was to explore the asymmetrical influences of cereal crop production, forestry production, and economic progress on CO2 emissions in China between 1970 and 2017. The non-linear ARDL (Autoregressive Distributed Lag) bounds testing method was used to determine the short- and long-run dynamics linked with positive and negative shocks to the explanatory variables. The findings indicate that positive shocks to cereal crop production deteriorate the atmospheric quality by intensifying carbon dioxide emissions only in the long run, while the impacts of negative shocks in this regard are statistically insignificant. Ironically, shocks to forestry do not exhibit any significant impact on China's carbon dioxide emission levels. Moreover, carbon dioxide emissions demonstrate a strong progressive association with the positive shocks to energy resources utilized within the Chinese economy. Additionally, positive and negative shocks to economic progress are evidenced to boost and reduce the carbon dioxide emission figures in the long run. Lastly, negative shocks to livestock production are witnessed to increase carbon dioxide emissions only in the short run. Hence, for achieving the Chinese carbon-neutrality agenda, it is recommended to prioritize the use of renewable energy resources, particularly for producing cereal crops, in order to curb carbon dioxide emissions in China. Simultaneously, the Chinese economic growth policies should integrate environmentally-friendly schemes to counter the adversative environmental influences related to the economic progress in China.
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Dióxido de Carbono , Gado , Animais , Dióxido de Carbono/análise , China , Desenvolvimento Econômico , Florestas , HumanosRESUMO
Greenhouse gases are the major issues globally leading to climate change and increased pollution of the atmosphere. CO2 emissions have divergent effect to the environment that also causes the economic performance of any country. The main motive of this analysis was to expose the influence of CO2 emission on population growth, fossil fuel energy consumption, economic progress, and energy usage in Nepal by using time series data ranging from 1971 to 2019, and data stationarity was checked with the help of unit root tests. An autoregressive distributed lag (ARDL) method with cointegration test was employed to adjudicate the variable dynamics with short- and long-run evidence. Furthermore, variable causality was tested through the Granger causality test. Study findings show that during long-run analysis that fossil fuel energy consumption and energy utilization has constructive affinity with carbon dioxide emission that exposed the p-values (0.0000) and (0.1065) correspondingly, while population growth and economic progress uncovered an inimical relation to CO2 emission. Similarly, the outcomes via short-run analysis also show that fossil fuel energy consumption and energy utilization have productive relation with CO2 emission which shows the p-values (0.0000) and (0.1317), while population growth and economic progress demonstrate an adverse influence to CO2 emission. The causality test results also validate a unidirectional linkage among variables. In attempt to participate in the global fight to clean up the atmosphere, the Nepali government and officials must take new measures to reduce CO2 emissions.
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Governo , Crescimento Demográfico , NepalRESUMO
The largest challenge still remains in enhancing the living conditions and economic progress, while growing the environmental footprint is related to energy. The move towards renewable sources means that energy utilization can be increased and environmental impacts reduced. The key purpose of the present analysis was to investigate the CO2 emissions interaction to industrialization, energy imports, carbon intensity, economic progress, and gross capital formation by using time span data ranging from 1971 to 2019. Variable stationarity was confirmed by utilizing the unit root tests, while quantile regression analysis was utilized to check the CO2 emission influence on the independent variables. Outcomes showed that industrialization has constructive influence with CO2 emission having coefficient (0.161636) with probability value (0.0000). Similarly the variable energy imports, carbon intensity, and gross capital formation have positive coefficients (0.206843), (0.895212), and (0.442922) with probability values (0.2171), (0.0004), and (0.0002) correspondingly that exposed the positive interaction with CO2 emission in Pakistan. The variable economic progress exposed an adverse impact to CO2 emission with having coefficient (-0.002841) with probability value (0.8795). In directive to improve the economic progress, the government of Pakistan should take future action to minimize carbon dioxide emission from different sectors that cause the climate change.
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Desenvolvimento Econômico , Desenvolvimento Industrial , Dióxido de Carbono/análise , Mudança Climática , Paquistão , Energia RenovávelRESUMO
The accelerated urbanization in China was already coupled with a steadily increasing demand for energy usage. The present study major aim was to determine the asymmetric influence of urbanization, energy utilization, fossil fuel energy and CO2 emission on economic progress in China by using an annual time series data varies from 1975 to 2017. Stationarity amid variables was verified by applying the unit root tests, while non-linear autoregressive distributed lag (NARDL) bounds testing model was used to examine the asymmetric impacts on variables with short- and long-run dynamics. Outcomes revealed that via short-run estimates, the negative shocks of energy usage cause significantly to increase the economic efficiency, but positive shocks of energy utilization display the adverse linkage with the economic progress. Similarly, the negative shocks of GDP per capita growth demonstrate a substantial upsurge in the economic progress, and the positive shocks establish the adverse influence towards economic growth. Further, the outcomes of short-run dynamics also exposed the negative shocks of urbanization significantly affected the economic growth, but positive shocks exposed the adversative influence on economic growth. The outcomes display that fossil fuel energy consumption showed a constructive impact to economic progress, and additionally, the variable CO2 emission also uncovered a positive shocks having significant impact on economic progress. Furthermore, the outcomes of long-run analysis express that energy utilization has negative and positive shocks that expose the adverse influence on economic progress of China. GDP per capita growth exposed the constructive influence on the economic growth in both shocks. The negative and positive shocks of urbanization demonstrate a noteworthy influence on economic growth. The variable fossil fuel energy consumption also exposed an optimistic influence on economic progress, and finally the influence of CO2 emission on economic growth is insignificant as the results exposed. The reducing carbon alteration target aims to be reached for China, and in the next several decades, it will encourage the green energy options in order to decrease carbon dioxide emission to avoid environmental pollution by raising its energy intensity.
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Dióxido de Carbono , Urbanização , Dióxido de Carbono/análise , China , Desenvolvimento Econômico , Combustíveis FósseisRESUMO
This study investigates the heterogeneous causal linkages between urbanization, the intensity of electric power consumption, water-based pollutant emissions, and GRP in regional China by developing an urbanization-augmented "Stochastic Impacts by Regression on Population, Affluence, and Technology" (STIRPAT) model. A whole country panel of 29 provinces as well as region sub-panels of China, for the period 1999 to 2018, are estimated employing common correlated effects mean group approach (CCEMGA), which offers robustness against heterogeneous characteristics and cross-sectionally dependent series. From the theoretic modeling aspect, the intensity of electric power consumption and urbanization have been introduced as the determinants of water-based pollutant emissions in the STIRPAT modeling framework. Based on empirical results, first, GRP growth has shown appealing behavior in the form of its heterogeneous impacts on water-based pollutant emissions growth in the case of different regions. For instance, its impact is noted to be positive and statistically significant for the western region, which turned positive but statistically insignificant for the intermediate region. And it further turned significantly negative in the case of the eastern region. We call this phenomenon as "development level-based emission mitigation effect." Second, in terms of the impact of GRP growth on urbanization, the "development-based urbanization ladder effect" has been found. Based on heterogeneous causal links, firstly, the existence of a positive bilateral causal link between the intensity of electric power consumption and GRP growth and urbanization and GRP growth has been validated. Secondly, a positive unidirectional causal link emerged from urbanization to the intensity of electric power consumption and water-based pollutant emissions growth. Thirdly, the causal connection between GRP growth and water-based pollutant emissions growth remained very interesting and of mixed nature. Based on empirical findings, useful policies are extended. Graphical abstract.
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Poluentes Ambientais , Urbanização , Dióxido de Carbono/análise , China , Desenvolvimento Econômico , ÁguaRESUMO
In this study, we attempt to investigate the relationship between electricity consumption, foreign direct investment (FDI) and economic progress in Pakistan during the period from 1997 to 2017. We applied the unit root tests to cointegration approach with the vector error correction model (VECM) approach. We also authenticated the robustness of the outcomes with the help of the regression methods. The main findings indicated that variables are cointegrated in the long-run and the VECM approach verified long-run causal links among the variables. The short-run causality is running from electricity consumption and economic development to FDI. The results remained uniform under the fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and the autoregressive distributed lag (ARDL) estimations. Correspondingly, these three methods ratified that there is a significant long-run linkage between electricity consumption and the economic development of Pakistan. Additionally, the diagnostic assessments fixed that results are free from correlations and models are stable. Thus, based on these results, electricity generation and consumption, as well as FDI, is crucial for the economic progress of Pakistan. The priority should be given to promote the optimum use of available resources to generate energy, and FDI in the energy sector should be attracted through various incentives to support the economic advancement of Pakistan. Renewable energy resources are recyclable springs that can cut the intensity of carbon emissions and encourage to the promising magnitude of FDI and also certify sustainable and economic progression of Pakistan.
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Dióxido de Carbono/análise , Corrida , Animais , Desenvolvimento Econômico , Eletricidade , PaquistãoRESUMO
China has been confronted with serious water quality deterioration concurrent with rapid socioeconomic progress during the past 40 years. Consequently, knowledge about economic growth and lake water quality dynamics is important to understand eutrophication processes. Objectives were to (i) reconstruct historical nutrient accumulation and the basin economic progress on burial flux (BF); (ii) determine forms and structures of nitrogen (N) and phosphorus (P) in sediment and water using six cores in three of the most severely eutrophic lake areas in China (i.e., Eastern Plain, Yunnan-Guizhou Plain, and Inner Mongolia-Xinjiang regions). Results suggest that BFs of total nitrogen (TN) continued to increase in sediment, whereas total phosphorus (TP) levels were consistent or only slightly increased, except in highly polluted lakes during the past decades. Similar results were observed for concentrations of nutrients in water (i.e., increased N/P). This historical distribution pattern was correlated to long-term fertilization practices of farmers in the watershed (N fertilization exceeds that of P) and was contingent upon pollution control policies (e.g., emphasized P whereas N was ignored). Vertical profiles of BFs indicated that lake nutrient accumulation included three stages in China. Nutrient accumulation started in the 1980s, accelerated from the 1990s, and then declined after 2000. Before the 1980s, nutrients were relatively low and stable, with nutrient inputs being controlled by natural processes. Thereafter, N- and P-bound sediments dramatically increased due to the increasing influence of anthropogenic processes. Nutrients were primarily derived from industries and domestic sewage. After 2000, BFs of nutrients were steady and even decreased, owing to implementation of watershed load reduction policies. The decreasing NaOH-extracted P (Fe/Al-P) and increasing organic phosphorus (OP) indicated that the source of exogenous pollution underwent a shift. Inputs of nutrients were predominantly from agricultural and domestic sewage, whereas industrial pollution has been gradually controlled in most of the watersheds. Historical nutrient dynamics suggest that the economy of China is growing at the expense of its aquatic ecological environments. Therefore, more attention to nutrient export to groundwater resulting from economic development is important for further aquatic ecosystem deterioration and eutrophication in China.