This study analyzes the relationship between globalization, energy consumption, and economic growth among selected South Asian countries to promote the green economy and environment. This study also finds causal association between energy growth and nexus of CO 2 emissions and employed the premises of the EKC framework. The study used annual time series analysis, starting from 1985 to 2019. The data set has been collected from the World Development Indicator (WDI). The result of a fully modified ordinary least square (FMOLS) method describes a significantly worse quality environment in the South Asian region. The individual country as Bangladesh shows a positively significant impact on the CO 2 emissions and destroys the level of environment regarding non-renewable energy and globalization index. However, negative and positive growth levels (GDP) and square of GDP confirm the EKC hypothesis in this region. This study has identified the causality between GDP growth and carbon emission and found bidirectional causality between economic growth and energy use.Keywords Globalization . Energy consumption . CO 2 emissions . Green economy . South Asian countries JEL Classifications E11 .

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This study examines the association between corporate social responsibility (CSR) and earnings management (EM) among manufacturing firms from a developing economy, Pakistan. To deal with the CSR measurement and data bias, a multimethod approach has applied to measure CSR (both qualitative and quantitative approaches).This research has also established CSR disclosure indices and CSR monetary spending ratio (CSR MSR). Moreover, this research examines both types of EM (accrual-based as well as real activities-based) and used annual data set from 2009 to 2018 for 160 nonfinancial firms. For empirical analysis, the two-stage least square (2SLS) and pooled ordinary least square (POLS) regressions are used. This study finds a negative relationship between CSR and EM, and it supports the notion that firms' commitment to CSR is largely driven by long-term perspective. However, with respect to each measure of EM and CSR, this relationship is asymmetric. | INTRODUCTIONConsiderable research on corporate social responsibility (CSR) has undertaken to determine what encourages the firms to engage in social activities, and most of the studies concluded that CSR has a positive effect on firms' financial performance (FP) (Calegari

PurposeThis study examines the long-term and causal relationship among foreign direct investment (FDI) inflows, trade openness and economic growth from India.Design/methodology/approachThis study has used annual time series data from the period 1985–2018 and applied the Johansen cointegration and vector autoregression (VAR) model.FindingsThe results of Johansen's cointegration confirm no long-term relationship among all the above three variables. Further, the results of VAR Granger causality indicate that FDI causes economic growth and economic growth causes FDI, which confirms the bi-directional causality. In contrast, this study found that there is no bi-directional causality between trade openness and economic growth.Social implicationsThrough this study, the government could take the decisions related to foreign investment after adopting more trade openness because the study results revealed that if India follows more trade openness, then how FDI will flow (upward and downward). With impulse analysis, researchers, government and policymakers take the decision-related FDI inflows for the forthcoming ten years after 2018.Originality/valueThis study has found the most exciting results from the impulse functions of FDI inflows, trade openness and economic growth, which showed the situation of these three variables as increase and decrease in the forthcoming ten years.

The Renewable Energy Plan for the period 2011–2020 established as a general goal to ensure that renewable sources represent at least 20% of final energy consumption in 2020, together with a minimum contribution of 10% from renewable energy sources in transportation for that year. Then, the goal of this research is to evaluate the effects of the regional production of clean energy, identifying the employment generated in the renewable sector. The adopted methodology was the shift-share analysis, frequently used by researchers to analyze territorial differences. Main results showed important differences, at regional level, in the production of this type of energy. Likewise, we used constant shift and constant share methodology to make a forecast on the evolution of the sector from the data of last published years. Pending the approval of the new Renewable Energy Plan for the period 2021–2030, the results obtained in this research allow the identification of the regions that showed a favorable evolution to the energy change and identifies the projects that generate employment and production in the sector.