This paper applies a linear Bayesian regression model to study the effects of economic policy uncertainty (EPU) and Chief Executive Officer (CEO) characteristics on firm Research and Development (R&D) expenditure. We specifically analysed data from 1,163 Chinese companies listed as A-shares from 2008–2016. EPU is believed to curtail firm investments as it causes unexpected market conditions. Yet, our findings obtained with Bayesian analysis show a positive relationship between EPU and firm R&D expenditure. Specifically, we found that some CEO attributes (e.g., age, tenure and marketing/sales experience) led to a negative relationship between EPU and firm R&D expenditure, whereas other attributes (e.g., education, overseas study/work experience, product R&D experience, and process engineering experience) lead to a positive relationship. Our findings provide nuanced insights into how different CEO characteristics influence firms’ R&D expenditure in a context of uncertainty.

This paper investigates the influence of CEO characteristics on firm performance. Our sample data consists of 10,446 observations from Chinese listed companies taken during the period 2008–2016. After applying a Quantile Regression approach, we find that CEO age has no obvious impact on firm performance, a finding that clearly differs from previous research. CEO tenure only has a highly significant negative impact on high valuation firms (at the 75th and 90th). Furthermore, while CEO political ties are positively related to low valuation firms, the exact opposite effect is evidenced in relation to high-performance firms.

Agricultural products have taken center stage due to the COVID-19 pandemic as countries strive to become self-sufficient and independent. Despite this, Agri-products supply chain management has largely been ignored. Farmers are typically in charge of getting these products to market. The local market suffers because of the significant quantity of agricultural products wasted along the Agri-Food supply chain (AFSC), and export revenue is at risk. To address the issue of food waste in AFSC, this study identified the sources of food waste and proposed corrective measures for the local farming industry. Stakeholders from the farming community, transportation companies, and retailers were conducting semi-structured interviews and coding them using open-source coding. Lack of cold storage and improper handling and packaging of products have been found to have a negative impact on the distribution process in developing countries. In this regard, a well-designed supply chain strategy, network design, and information system can alleviate these issues. Farmers and transporters must be taught how to minimize damage during transport. Recycled packaging material can also be used, saving money while reducing the likelihood of product damage. This is among the pioneer studies that focus on the causes of food waste in AFSC in Pakistan.