Geopolitical risk and firm-level environmental, social and governance (ESG) performance.

This study investigates the impact of geopolitical risk on firm-level environmental, social, and governance (ESG) performance. Using a news-based indicator of geopolitical risk across 41 countries and a comprehensive dataset spanning from 2002 to 2021 with 65,354 firm-year observations, we uncover that geopolitical risk is negatively associated with ESG performance. Our findings remain robust even when considering alternative measures of geopolitical risk, ESG components, and sub-samples. Moreover, we address potential endogeneity concerns through two-stage least squares, propensity score matching and entropy balancing approaches. Interestingly, we find that the effect of geopolitical risk is positive for countries with lower geopolitical risk and high peace, indicating that relatively stable environments can incentivize firms to enhance their sustainability practices. We also examine the potential channel effects of cash holding, corporate investment, and cost of capital, and found significant effects. Overall, this paper underscores the significance of geopolitical risk as a macro-level shock that significantly influences ESG performance.

Carbon conundrums: Geopolitical clashes and market mayhem in the race for sustainability.

This research presents an in-depth investigation into the dynamic correlation between geopolitical conflicts and carbon markets utilizing the Time-Varying Parameter Vector Autoregression (TVP-VAR) technique. The analysis focuses on the interconnectedness between the Geopolitical Risk Index Daily (GPRD) and vital carbon pricing instruments, specifically the Intercontinental Exchange Endex European Union Allowance (ECEFDC), KraneShares California Carbon Allowance Strat ETF (KCCAK), Shanghai Environment and Energy Exchange China Emission Allowances Online Transactions (SAXCEA), and S&P Global Ex-Japan LargeMidCap Carbon Efficient Index (SPGJ). The daily fluctuations were traced from May 2021 to July 2023. The analysis is divided into short- and long-term connectedness, with particular emphasis on the impact of the Russia-Ukraine conflict on the GPRD's spillover on carbon markets. The short-term connectedness (1-5 days) between GPRD and ECEFDC shows variability, fluctuating between 10% and 40%. Conversely, long-term connectedness exhibited a significant increase during the conflict, peaking at approximately 34% by mid-2022. The analysis of the Total Dynamic Connectedness (TCI) between the GPRD and the KCCAK indicates comparable magnitudes, although with minor initial discrepancies. The short-term connectedness of GPRD and KCCAK decreases from its peak of approximately 10% to approximately 1%. Conversely, long-term connectedness varies between approximately 32% and 2% from May 2022 onwards. The long-term connectedness between GPRD and SAXCEA revealed variable patterns, peaking at around 18% at the beginning of the sample period and rapidly reducing to around 1% within two months. The analysis of the connectedness between GPRD and the SPG) identifies intense fluctuations in both TCI and long-term connectedness. After an initial increase and decrease, these patterns rebound and experience another increase. This research provides significant insights into the complex dynamics of geopolitical conflicts and carbon markets, particularly the impact of the Russia-Ukraine conflict on carbon market behavior.

Linking tourist's footprint and environmental tragedy through transportation, globalization and energy choice in BIMSTEC region: Directions for a sustainable solution using novel GMM-PVAR approach.

The rising temperature in the world's atmosphere is an outcome strongly linked to man-made manufactured interventions. Recreational activities in the form of tourism are such interventions that can unleash multidimensional negative externalities if not regulated properly. The Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation (BIMSTEC) region has become one of the major hubs for recreational activities in the last few decades. However, the region's tourism-led environmental degradation has received scant attention in the literature. As such, this paper unveils how tourist footprint affects the region's environmental sustainability and explores potential solutions to encourage the tourism industry to be more pro-environmental. We have used the novel GMM-PVAR technique to assess how globalization, transportation, green energy, and economic growth have affected the tourism industry and carbon footprint in the BIMSTEC region from 1990 to 2019. We lean on the empirical outcomes to propose regional sustainable tourism development policies. The GMM-PVAR model indicates that renewable energy, economic growth, and the transportation sector's development positively affect the tourism industry's growth in the region. However, globalization and environmental degradation negatively influence tourists' arrival. Contrarily, transportation services, economic growth, and tourism boost the carbon footprint in the region. Although globalization and clean energy reduce carbon footprint, these indicators are insignificant, indicating that this region is still lagging in renewable energy generation and failed to reap the positive spillovers of globalization. Based on these outcomes, we propose that the region redesign its tourism industry to encourage eco-friendly tourism by leaning more on pro-environmental strategies (i.e., powering the tourism industry through the penetration of renewable energies) and tightening environmental regulations.

Energy mix with technological innovation to abate carbon emission: fresh evidence from Mexico applying wavelet tools and spectral causality.

The global warming issue arises from climate change, which draws scientists' attention toward cleaner energy sources. Among clean sources, renewables and nuclear energy are getting immense attention among policymakers. However, the significance of nuclear energy in reducing CO2 emissions has remained ambiguous, necessitating further research. Therefore, the present study draws impetuous attention to the United Nations Sustainable Development Goals-7 (affordable clean energy) & 13 (climate change mitigation) by looking at the relationship between energy mix (fossil fuels, renewables, and nuclear), economic growth, technological innovation, and CO2 emissions in Mexico from 1980 to 2019 using the autoregressive distributed lag (ARDL) model. In addition, to assess the direction of causality, this study applied wavelet techniques and spectral causality. The findings affirm that renewable and nuclear energy use and technological innovation tend to curb CO2 emissions, whereas fossil fuel consumption and economic expansion trigger CO2 emissions. The study lends support to the environmental Kuznets curve (EKC) phenomenon in Mexico. The FMOLS and DOLS tests show that our long-run estimates are reliable. In different time scales, the wavelet coherence result is also consistent. Finally, the results of the spectral causality approach demonstrate a significant causal association between the variables tested at various frequencies. As a result, in order to achieve SDGs 7 and 13 and support an environmentally friendly ecosystem, Mexico's energy mix must be changed to renewables and nuclear.

Causality analysis of the determinants of FDI in Bangladesh: fresh evidence from VAR, VECM and Granger causality approach.

We tested the causality between FDI and its determinants in Bangladesh in the presence of structural break harnessing Vector Autoregression (VAR) model and Granger causality test. Regressors such as GDP growth rate, inflation, interest, corporate tax, exchange and wage rate, and trade openness (TO) have been used. VAR model finds that interest, tax, wage, and exchange rate do not affect inward FDI. However, the inflation rate and TO significantly impact the inward FDI in Bangladesh. The Granger causality test reveals a bidirectional causality in the FDI-inflation and FDI-TO nexus, whereas other explanatory variables do not cause the FDI granger. Variance decomposition (VDC) and impulse response function (IRF) assessment approve strong, moderate, and poor or no explanatory power of TO, inflation, and other explanatory variables, respectively. Regarding FDI-inflation bidirectional causality, we observed both natural (inflation truly causes FDI) and fake causality (FDI does not necessarily cause inflation). Therefore, when inflation causes FDI, then Bangladeshi Taka (BDT) becomes strong against USD, which increases import and reduces export (import > export). Due to the negative trade balance, this is true for Bangladesh. However, if FDI causes inflation, it will depreciate BDT; consequently, the export will surpass the total import, which is not the case in Bangladesh. Therefore, inflation causes FDI in Bangladesh, and this punch line ends the ongoing debate in the FDI-inflation-exchange rate nexus in Bangladesh. Finally, we recommend decreasing the lending interest rates to encourage further investment, adopting tax holidays, developing a skilled and semi-skilled workforce to harness the advantage of lower wage rates, and being more open to facilitating FDI-led development. Supplementary Information: The online version contains supplementary material available at 10.1007/s43546-022-00247-w.