Narrow Results

This study attempts to analyze the impact of climate change on the productivity of agricultural crops (wheat and maize), in the western Himalayan region of India for the period 1998–2019. The study implies second-generation panel estimation techniques. The Panel Autoregressive Distributed Lags (ARDL) method is used to analyze the long-and short-run effect of climatic variables i.e., average temperature, temperature range, and average precipitation on the yield of wheat and maize. The finding of the Panel ARDL shows that the average temperature of kharif season negatively affects the maize yield both in long run and short run, whereas the average temperature of rabi season has a negatively significant effect on wheat yield in long run and positively significant effect on wheat yield in short run. The average precipitation of rabi season has a positively significant effect on wheat yield both in long run and short run. The study recommends the development of advanced irrigation system, and the implementation of the insurance scheme by the Government and to adopt climate-smart farming techniques.

This study conducts an empirical analysis of the impact of climate risk on Environmental, Social, and Governance (ESG) investments in Asia. Using monthly data from 2015 to 2022 for 11 Asian countries and applying wavelet coherence analysis with a panel Auto-regressive Distributed Lag Model (ARDL) cointegration approach, the study concludes that (1) ESG and stock market returns are positively correlated during economic turmoil in China and Malaysia; (2) climate risk positively influences ESG returns, suggesting that it enhances returns during uncertain times rather than having a detrimental effect; (3) returns on conventional assets are negatively impacted by climate risk; and (4) ESG investments serve as an effective hedge against climate risk and provide a sound strategy for portfolio diversification in the Asian market.