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This study aims to examine the moderating effect of intellectual capital (IC) in the relationship between board characteristics and firm performance of non-financial firms listed on the Pakistan Stock Exchange (PSX) from 2010 to 2019.

The modified value-added intellectual capital (MVAIC) was used to assess the efficiency of sample firms’ IC, which is a modified version of Pulic’s (2000) model VAIC that includes an additional component, rational capital efficiency. Board size, independence, board meetings, chief executive officier duality and board gender diversity are all measures of board characteristics. Firm performance is measured through return on assets, return on equity and earnings per share. The Hausman test was used to select the best model for the study.

Based on the regression results, the board’s gender diversity and duality have a significant inverse relationship with profitability. In terms of the impact of board characteristics on IC, it is discovered that board independence and diversity are significantly inversely related to IC. Furthermore, IC is significantly related to profitability by all means. In terms of the moderating effect of IC, the findings show that IC significantly moderates the negative relationship between duality and profitability, as well as board gender diversity and profitability.

This study made some policy recommendations to policymakers. Duality should be avoided in PSX firms because it is significantly inversely related to profitability and IC. Second, female board participation should be subjective. Third, because the findings indicate that Pakistani firms lack true board independence, the Securities and Exchange Commission of Pakistan should take additional steps to ensure that the board is truly independent.

To the best of the authors’ knowledge, this is the first study of its kind to study the moderating effect of IC between corporate governance and firm performance.

The study unravels the effects of climate-induced variations in staple crop yields on various migratory inflows in India while adjusting for seasonal weather and sociodemographic factors.

The instrumental variable approach is used to assess the potential effects of climate and nonclimate parameters on various migration types, exploiting panel data at the district level from the 2001 and 2011 Census years, with agriculture acting as the mediator.

As weather-driven variations in rice and wheat yield increase by 10%, the share of migration within and between districts to population decreases by 0.017 and 0.002, respectively. However, rice and wheat yields increase by 494.60 and 524.40%, respectively, with a marginal increase in the share of migration within states to population. Also, the elasticities of disadvantaged groups, literate locals and agricultural workers vary for different relocations.

The current study affirms climate migration through the agricultural channel at a finer spatial scale, asserting the sensitivity aspect of disparate movements to periodic weather and heterogeneous clusters. This is critical for effectively implementing targeted public policies in the face of increasing climate risks.

The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-10-2022-0710