Suchergebnisse

The purposes of this study is to investigate the relationship between per capita CO2 emissions, per capita energy consumption, per capita real GDP, the squares of per capita real GDP, trade openness and Kyoto dummies in selected 20 EU countries over the periods from 1991 to 2013 in order to analyze the connection between environmental pollution and Kyoto Protocol using Environmental Kuznets Curve (EKC) framework. According to EKC hypothesis, there is an inverted-U shape relation between environmental pollution and economic growth. Generally, the relationship between environmental pollution, per capita GDP and energy consumption has been analyzed for testing EKC hypothesis. In this study, it is used dummy variable to analyze the effects of Kyoto protocol on environmental degradation in the context of EKC hypothesis model. The dummy variable indicates Kyoto Protocol agreement year 2005. The results show that there is long run cointegration relationship between CO2, energy consumption, GDP growth, and the squares of GDP growth, trade openness and Kyoto dummy variable. Energy consumption and GDP growth increase the level of CO2 emissions. On the contrary, Kyoto dummy variable de­creases CO2 emissions in EU countries. In addition, the results reveal that the squares of per capita real GDP and trade openness rate are statistically insignificant. As a result of analysis, the inverted-U shape EKC hypothesis is invalid in these EU countries over the periods from 1991 to 2013.

China is the largest CO2 emitter in the world, and it shared 28% of the global CO2 emissions in 2017. According to the Paris Agreement, it is estimated that China's CO2 emissions will reach its peak by 2030. However, whether or not the CO2 emissions in China will rise again from its peak is still unknown. If the emission level continues to increase, the Chinese policymakers might have to introduce a severe CO2 reduction policy. The aim of this paper is to conduct an empirical analysis on the long-standing relationship between CO2 emissions and income while controlling energy consumption, trade openness, and urbanization. The autoregressive distributed lag (ARDL) model and the bounds test were adopted in evaluating the validity of the Environmental Kuznets Curve (EKC) hypothesis. The quantile regression was also used as an inference approach. The study reveals two major findings: first, instead of the conventional U-shaped EKC hypothesis, there is the N-shaped relationship between CO2 emissions and real gross domestic product (GDP) per capita in the long run. Second, a positive effect of energy consumption and a negative effect of urbanization on CO2 emissions, in the long run, are also estimated. Quantitatively, if energy consumption rises by 1%, then CO2 emissions will increase by 0.9% in the long run. Therefore, the findings suggest that a breakthrough, in terms of policymaking and energy innovation under China's specific socioeconomic and political circumstances, are required for future decades.

Transport activities are essential for economic and social development. Nevertheless, the transport sector has also shown the fastest growth in energy consumption in the European Union and its contribution to increasing greenhouse gas emissions merits the thorough attention of academics and policy makers. In this paper we analyze the relationship of economic growth and transport activities with transport final energy consumption. Energy Kuznets curves are estimated for a panel data set covering the EU27 countries in the period 1995–2009 for total transport energy use, household transport energy use, and productive transport energy use (all three in absolute and per capita energy use terms). The productive transport energy use and gross value added relationship are further considered as per hour worked. Finally, the control variables of energy prices and differences in the economic structures are tested. Empirical results show that the elasticity of transport energy use with respect to gross value added in per capita terms decreases from a threshold for the three transport energy consumption variables, but the turning point of improved environmental quality is not reached in any instance. ; Fundación Roger Torné, Universidad de Sevilla, Cátedra de Economía de la Energía y del Medio Ambiente 1394/0103 ; Junta de Andalucía proyecto SEJ-132 ; Ministerio de Economía y Competitividad ECO2014 – 56399-R ; Universidad de Coimbra, Proyecto de I + D EMSURE Energía y Movilidad para el Desarrollo Sostenible Regiones CENTRO 070224 FEDER 002004

The aim of the present study is to test empirically the Environmental Kuznets Curve (EKC) hypothesis for 42 Romanian counties over the 2000-2014 period. Specifically, we investigate the existence of an inverted U-shaped curve relationship between residential built-up land and economic development in a low-income EU country undergoing rapid and profound transition. We do so by making innovative use of spatial panel econometric techniques. Contrary to our expectations, the results indicate an inverted EKC, implying that higher levels of residential built-up area occur for higher levels of wealth. Moreover, we find that the built-up land in Romania mainly reflects processes of urban expansion, such as sprawl or suburbanization, that may have harmful environmental and social consequences. Spatial spill-overs in terms of built-up land arise and spread, albeit to a limited extent, to neighbouring locations. These findings are of potential significance for policy makers, because they highlight the need for coordination among neighbours. Furthermore, strengthening the institutional framework and local tax management, and planning urban regeneration better could curb and even reverse the extensive built-up land expansion and real estate speculation.

The aim of the present study is to test empirically the Environmental Kuznets Curve (EKC) hypothesis for 42 Romanian counties over the 2000-2014 period. Specifically, we investigate the existence of an inverted U-shaped curve relationship between residential built-up land and economic development in a low-income EU country undergoing rapid and profound transition. We do so by making innovative use of spatial panel econometric techniques. Contrary to our expectations, the results indicate an inverted EKC, implying that higher levels of residential built-up area occur for higher levels of wealth. Moreover, we find that the built-up land in Romania mainly reflects processes of urban expansion, such as sprawl or suburbanization, that may have harmful environmental and social consequences. Spatial spill-overs in terms of built-up land arise and spread, albeit to a limited extent, to neighbouring locations. These findings are of potential significance for policy makers, because they highlight the need for coordination among neighbours. Furthermore, strengthening the institutional framework and local tax management, and planning urban regeneration better could curb and even reverse the extensive built-up land expansion and real estate speculation.

This paper examines the relationship between female entrepreneurship and environmental implications in ASEAN economies. While economic growth and affluence benefit society, they come at the cost of environmental degradation, particularly rising carbon dioxide levels and ecosystem concerns. Women entrepreneurs in Southeast Asia can potentially support their families and contribute to societal development by starting their own businesses. Their ventures provide fresh perspectives on societal challenges and enable active participation and contribution to creative endeavors, leading to economic and social empowerment with ripple effects on families and communities. To assess the environmental consequences of women's entrepreneurial activities, the study applies the bias-corrected method of moments and tests the Environmental Kuznets Curve hypothesis across ten ASEAN nations from 1980 to 2021. Results show cross-sectional dependence in all variables and confirm a long-term relationship within the EKC model. The fixed-effects estimator with bias correction is deemed the most suitable model. Findings indicate that GDPpc leads to decreased emissions, while the square of GDPpc contributes to increased emissions; however, the cubic term of GDPpc leads to decreased CO2 emissions, supporting the "inverted N" curve distribution of emissions across ASEAN nations proposed by the EKC theory. Additionally, the study reveals that higher percentages of female entrepreneurs are associated with increased carbon dioxide emissions, potentially due to increased efforts to support and develop female entrepreneurs. Conversely, a reduction in the gender gap in marriage, divorce, remarriage, and domestic violence leads to a shift away from entrepreneurial activities among women, positively impacting the environment.