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The climate change effects on agricultural output in different regions of the world and have been debated in the literature of emerging economies. Recently, the agriculture sector has influenced globally through climate change and also hurts all sectors of economies. This study aims to examine and explore the impact of global climate change on agricultural output in China over the period of 1982-2014.

Different unit root tests including augmented Dickey–Fuller, Phillips–Perron and Kwiatkowski, Phillips, Schmidt and Shin are used to check the order of integration among the study variables. The autoregressive distributed lag (ARDL) bounds testing approach to cointegration and the Johansen cointegration test are applied to assess the association among the study variables with the evidence of long-run and short-run analysis.

Unit root test estimations confirm that all variables are stationary at the combination of I(0) and I(1). The results show that CO₂ emissions have a significant effect on agricultural output in both long-run and short-run analyses, while temperature and rainfall have a negative effect on agricultural output in the long-run. Among other determinants, the land area under cereal crops, fertilizer consumption, and energy consumption have a positive and significant association with agricultural output in both long-run and short-run analysis. The estimated coefficient of the error correction term is also highly significant.

China’s population is multiplying, and in the coming decades, the country will face food safety and security challenges. Possible initiatives are needed to configure the Chinese Government to cope with the adverse effects of climate change on agriculture and ensure adequate food for the growing population. In concise, the analysis specifies that legislators and policy experts should spot that the climate change would transmute the total output factors, accordingly a county or regional specific and crop-specific total factor of production pattern adaptation is indorsed.

The present empirical study is the first, to the best of the authors’ knowledge, to investigate the impact of global climate change on agricultural output in China by using ARDL bounds testing approach to cointegration and Johansen cointegration test.

This study aims to investigate the association between the presence of a corporate social responsibility (CSR) committee and Sustainable Development Goals (SDGs) disclosure, as well as the moderating role of gender diversity in this relation.

The sample consists of 897 annual observations from 238 firms from Argentina, Brazil, Chile, Colombia, Mexico and Peru for 2018–2020. The data were collected from the Refinitiv database. The proposed model and hypotheses were tested using the feasible generalized least squares estimation technique with heteroscedasticity and panel-specific AR1 autocorrelation.

The results reveal that the presence of CSR committees positively influences the SDGs. Gender diversity positively moderates the relationship between CSR committees and SDGs. Leverage and firm size also positively impact the SDGs. On the other hand, board size and CEO duality negatively affect SDGs disclosure.

This study extends the scope of stakeholder theory by suggesting that CSR committees and gender diversity enable a better relationship for the firm with its stakeholders.

The findings support policymakers and managers in improving sustainability disclosure. In addition, the results demonstrate the importance of CSR committees and gender diversity to meet the stakeholders' demands.

This study demonstrates how firms can improve sustainability issues through gender diversity and CSR committees.

To the best of the authors’ knowledge, this study complements previous literature by being the first to examine the moderating effect of gender diversity on the association between CSR committees and SDGs disclosure in the Latin American context.