Agricultural sector is significant for Sub-Saharan African countries and is highly exposed and sensitive to climate change. This study aims to investigate the overall long-run impacts of temperature and precipitation on agricultural growth in 32 Sub-Saharan African countries. As proposed by Chudik and Pesaran, our estimations are based on augmented autoregressive distributed lag(ARDL) modelling and panel estimators with multifactor error structures. We estimate the “dynamic common correlated long-run effects (DCCE)” through the cross-sectionally augmented distributed lag (CS-DL) approach as well as through the cross-sectionally augmented autoregressive distributed lag (CS-ARDL). For robustness check, we also consider the cross-sectionally augmented error correction method (CS-ECM) and the common dynamic process augmented mean group (AMG). The study suggests that rising temperatures have significantly developed a negative long-term relationship with the agricultural growth in Sub-Saharan Africa. At the same time, the long-run effect of precipitation is less important and not statistically significant in most estimations. According to the CS-DL approach, the negative impact of a 1°Crise in temperature could be as high as a 4.2 to 4.7 percentage point decrease in the agricultural growth rate. The results indicate that the warming climate has considerably damaged the agrarian activities in Sub-Saharan Africa, necessitating adaptive climate measures to avoid any food scarcity or economic stagnation in agricultural driven African countries.

Choosing the appropriate mix of various short and long-term sources of funds, stands among ISSN 2162-3082 2017 the acute decisions to be taken by management of the firms to form elementary suitability for investment and other decisions. Literature is lacking in consensus pertinent to impact of capital structure on financial performance of the firms. This study intends to investigate the impact of capital structure on financial performance of fuel and energy sector of Pakistan taking into account secondary data from 2006-14. Empirical results of renowned econometric model multiple regression revealed that there is a significant negative impact of capital structure on ROA and ROE of firms in fuel & energy sector of Pakistan, while EPS is least driven by capital structure parameters, only the size has significant positive bearing on EPS. The research findings provide suggestions to policy makers and administrators to rely on equity financing rather debt ethos in order to mitigate the default risk exposure. International Journal of Accounting and Financial Reporting

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The available research literature on stock performance has primarily stressed the importance of asset price theories, macroeconomic and microeconomic, and institutional differences. However, there is still an open question: Are there any other factors those influence stock performance? This research aims to answer this question by providing new insights into industry factors along with country-level and firm-specific factors in conjunction with the stock performance of the non-financial sector firms listed at the Pakistan Stock Exchange. The study provides new insights into the prevailing research literature by considering an emerging economy, Pakistan. We find that non-financial sector firms are heterogeneous, suggesting applying a fixed effect approach for reliable estimation. To investigate the issue, data from 80 companies spanning 17 years (2004–2020) were analyzed with a fixed-effect model. Our study results revealed that firm tangibility, munificence, gross domestic product, inflation and money supply have negative, while size, growth, dynamism, Herfindahl–Hirschman index, exchange rate and oil prices have a positive relationship with financial performance. The results are robust under alternative estimation approaches and offer useful policy implications.

Growing complexities in the indigence and global business environment, the demand for Corporate Risk Management (CRM) has fostered greatly. Equally, Financial Performance (FP) and Sustainable Growth Rate (SGR) are believed to be vital parameters for assessing any organisation's success. Both FP and SGR are get affected by different risks. Therefore, to the best of our knowledge, this paper is the first endeavour meant to empirically shed light on the Impact of CRM on a firm’s FP and SGR. By taking a sample of 160 listed Non-Financial firms from emerging and developed Countries stocks markets, on the bases of market capitalization, covering a period of 12 years (2007-2018). The CRM index has been constructed by using the Principal Component Analysis technique. Panel data fixed-effect Model applied on the bases of Hausman test. The results articulated that CRM has a significant and positive impact on ROE and SGR in the context of both cases. In contrast, inflation negatively relates to both scenarios, but the size and Gross Domestic Product (GDP) have a positive and significant relationship with ROE and SGR. However, in Pakistan's case, Size and GDP have articulated adverse effect on ROE and SGR.

The existing literature on stock performance has focused on the viability of asset pricing theories, macroeconomic and microeconomic variations, and institutional disparities. Yet, whether any additional factors influence SP (Stock Performance) remains unanswered. To address this question, the study aims to provide fresh insights into industry factors concerning firm stock performance. The study adds to the existing research literature by focusing on these issues in the context of a developing economy. Data from 80 organizations were evaluated using a multiple regression model for 12 years to study the problem. The findings back up the importance of sector nature in stock performance. According to the results, company size, munificence, and HHI negatively link with financial performance, but growth, GDP, exchange rate, money supply, and oil prices have a positive link. The findings can help firms and individual investors better understand the factors that influence share prices, allowing them to assess their investment options better. Other financial institutions can provide better advice and products to investors seeking funding to finance share purchases.

We explore the impact on firm value by numerous factors in the energy industry using panel data from 2010 to 2020. The analysis employs different econometric methods, including fixed-effects, random-effects, two-stage least squares, and generalized method of moments. Our main variables of interest are firm value, firm-level climate change risk, fixed assets, leverage, dividend yield, market capitalization, and assets tangibility. The result suggests that investors are valuing energy firms less due to their exposure to climate change risk. We found that climate change risk, fixed assets, firm leverage, and assets tangibility are negatively related while market capitalization and dividend yield are positively related to firm value. These findings have important implications for energy firms, policymakers, and investors. Energy firms need to consider climate change risk in their investment decisions to maintain their market value, and policymakers should encourage firms to disclose their climate change risk to improve market efficiency. Finally, investors need to incorporate climate change risk in their investment strategies to mitigate potential financial losses.