Abstract:Trade Human development indicator BRIC GMM a b s t r a c tThis paper looks into the causal association between economic growth, CO 2 emission, trade volume, and human development indicator for Brazil, Russia, India, and China (BRIC countries) during 1980e2013. Following a generalized method of moments (GMM) technique, we have found out that bidirectional causality exists between CO 2 emissions and economic growth. Feedback hypothesis is supported between CO 2 emissions and human development, trade volume and h… Show more
“…The coefficient of trade openness for all four cases is positive and significant, which implies that trade openness has a positive impact on economic growth in N-11 economies. This result aligns with the results for Turkey (Ozturk and Acaravci, 2013), newly industrialized countries (Hossain, 2011), BRICS countries (Sinha and Sen, 2016), and several other contexts.…”
Section: Empirical Results and Discussionsupporting
confidence: 78%
“…The negative impact of CO 2 emissions on economic growth bears this evidence. This aspect has been supported by numerous prior studies (e.g., Sebri and Ben-Salha, 2014;Zeb et al, 2014;Shahbaz et al, 2015;Kang et al, 2016;Sinha and Sen, 2016;Wang et al, 2016, and many others). Conversely, the technical effect that is exerted by trade openness impacts economic growth positively and significantly.…”
Section: Empirical Results and Discussionsupporting
confidence: 73%
“…Halicioglu (2009) Certain studies have broadened the analysis of the association between trade openness and CO 2 emissions by considering multivariate frameworks and including financial development, HDI, and institutional quality (e.g., Ibrahim and Law, 2015;Shahbaz et al, 2015;Al-Mulali et al, 2016;Sinha and Sen, 2016, and many others). The results of these studies have been inconclusive regarding the impact of trade openness on CO 2 emissions.…”
Section: Trade Openness and Co 2 Emissionsmentioning
Numerous studies regarding the economic growth-environmental pollution link have struggled to determine the effects of various forms of energy consumption on environmental degradation, particularly in the context of emerging economies. This study examines the environmental Kuznets curve (EKC) for CO 2 emissions in N-11 countries during 1990-2014 by segregating three forms of energy consumption (renewable, biomass and non-renewable). Urbanization and trade openness are additional explanatory variables that are used in the empirical framework. Using the Generalized Moments Method (GMM), the empirical evidence confirms the presence of an N-shaped relationship between economic growth and environmental degradation for N-11 countries. This study analyzed the interaction effects among trade openness, biomass consumption and economic growth; these interactions had a negative impact on CO 2 emissions levels of N-11 countries. Suitable policy recommendations have been provided based on the detailed results.
“…The coefficient of trade openness for all four cases is positive and significant, which implies that trade openness has a positive impact on economic growth in N-11 economies. This result aligns with the results for Turkey (Ozturk and Acaravci, 2013), newly industrialized countries (Hossain, 2011), BRICS countries (Sinha and Sen, 2016), and several other contexts.…”
Section: Empirical Results and Discussionsupporting
confidence: 78%
“…The negative impact of CO 2 emissions on economic growth bears this evidence. This aspect has been supported by numerous prior studies (e.g., Sebri and Ben-Salha, 2014;Zeb et al, 2014;Shahbaz et al, 2015;Kang et al, 2016;Sinha and Sen, 2016;Wang et al, 2016, and many others). Conversely, the technical effect that is exerted by trade openness impacts economic growth positively and significantly.…”
Section: Empirical Results and Discussionsupporting
confidence: 73%
“…Halicioglu (2009) Certain studies have broadened the analysis of the association between trade openness and CO 2 emissions by considering multivariate frameworks and including financial development, HDI, and institutional quality (e.g., Ibrahim and Law, 2015;Shahbaz et al, 2015;Al-Mulali et al, 2016;Sinha and Sen, 2016, and many others). The results of these studies have been inconclusive regarding the impact of trade openness on CO 2 emissions.…”
Section: Trade Openness and Co 2 Emissionsmentioning
Numerous studies regarding the economic growth-environmental pollution link have struggled to determine the effects of various forms of energy consumption on environmental degradation, particularly in the context of emerging economies. This study examines the environmental Kuznets curve (EKC) for CO 2 emissions in N-11 countries during 1990-2014 by segregating three forms of energy consumption (renewable, biomass and non-renewable). Urbanization and trade openness are additional explanatory variables that are used in the empirical framework. Using the Generalized Moments Method (GMM), the empirical evidence confirms the presence of an N-shaped relationship between economic growth and environmental degradation for N-11 countries. This study analyzed the interaction effects among trade openness, biomass consumption and economic growth; these interactions had a negative impact on CO 2 emissions levels of N-11 countries. Suitable policy recommendations have been provided based on the detailed results.
“…This suggests that as the income is increased, the income inequality initially is increased as well up to a certain point and thereafter pollution starts to decline. The majority of the studies exploited panel data based on country level and they found that the EKC hypothesis holds Krueger, 1991, 1995;Panayotou, 1997;Selden and Song, 2004;Vollebergh et al, 2009;Giovanis, 2013;Bölük and Mert, 2014;Giovanis and Ozdamar, 2016;Sinha, 2006;Sinha and Sudipta, 2016Sinha and Bhattacharya, 2016, 2017. Thus, the correlation standalone is not enough to reveal the relationship between income and pollution, where a quadratic relationship between air pollution and income may be present.…”
Traffic congestion is one of the foremost problems confronted by the urban and suburban tenants of today. Traffic congestion increases vehicle emissions and degrades air quality. Urban planners and policy makers have consequently been always investigating choices to alleviate traffic congestion and to enhance air quality. Teleworking is one option that has received significant consideration and has been studied in the recent past. The aim of the study is to explore the relationship between teleworking, air quality and traffic in Switzerland. The analysis relies on panel individual and household level data over the period 2002-2013. We examine five main air pollutants; the sulphur dioxide (SO 2 ), the ground-level ozone (O 3 ) the nitrogen dioxide (NO 2 ), the carbon monoxide (CO) and the particulate matter less than 10 microns (PM 10 ). Based on the fixed effects estimates, teleworking reduces traffic volume by 1.9 per cent. Furthermore, the reduction observed on air pollution is higher for NO 2 , CO and PM 10 ranging between 3.3-3.7 per cent, followed by O 3 at 2.3 per cent and SO 2 at 2.1 per cent. According to instrumental variable (IV) approach and the two stage least squares (2SLS) method, the effect is higher ranging between 2.6-4.1 per cent. The respective reduction on traffic becomes 2.7 per cent. Overall, the main concluding remark of the study is that teleworking can be a promising tool for urban planning and development, focusing at the traffic volume reduction, and the air quality improvement. Additional policy implications of teleworking and its beneficial effects for the society are further discussed.
“…The study uses two dummy variables such as religion and culture to identify their effects on gender inequality as Cooray and Potrafke (2011) found that both culture and religion have a substantial impact on gender inequality. This study also controls average health expenditure to identify their effect on reducing gender inequality in health and survival (Sinha and Sen, 2016). 4…”
Section: Rationale Of the Control Variablesmentioning
Article History
JEL Classification O50, F16, F60. The study identifies the effect of trade liberalization on gender inequality in labor market, welfare, and empowerment in the emerging economies considering the significance of gender inequality issue in sustainable development goals (SDGs). It uses global gender gap index (GGGI) and its four sub-indexes namely economic participation and opportunity, education, health and politics as indicators of gender inequality in different aspects. Due to the problem of endogeneity and the presence of time-invariant variables Hausman-Taylor estimation technique has been applied to a panel data set of 40 countries for the period of 2006-2014. The results of the study suggest that trade openness significantly reduces gender inequality in labor market in high growth EAGLE and NEST countries but increase the inequality in other emerging economies. The effect of trade openness in reducing gender inequality in welfare and empowerment is positive, but higher trade increases health gap in other emerging economies. The effects of culture and religion on gender inequality are mixed and differ substantially across countries. According to the findings of the study, trade and government expenditure can be used as essential tools to achieve gender equality goal of SDGs if the proper policy is adopted.
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