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This study aims to examine the effects of climate change and agricultural technologies on crop production in Vietnam for the period 1990–2018.

Several econometric techniques – such as the augmented Dickey–Fuller, Phillips–Perron, the autoregressive distributed lag (ARDL) bounds test, variance decomposition method (VDM) and impulse response function (IRF) are used for the empirical analysis.

The results of the ARDL bounds test confirm the significant dynamic relationship among the variables under consideration, with a significance level of 1%. The primary findings indicate that the average annual temperature exerts a negative influence on crop yield, both in the short term and in the long term. The utilization of fertilizer has been found to augment crop productivity, whereas the application of pesticides has demonstrated the potential to raise crop production in the short term. Moreover, both the expansion of cultivated land and the utilization of energy resources have played significant roles in enhancing agricultural output across both in the short term and in the long term. Furthermore, the robustness outcomes also validate the statistical importance of the factors examined in the context of Vietnam.

This study provides persuasive evidence for policymakers to emphasize advancements in intensive agriculture as a means to mitigate the impacts of climate change. In the research, the authors use average annual temperature as a surrogate measure for climate change, while using fertilizer and pesticide usage as surrogate indicators for agricultural technologies. Future research can concentrate on the impact of ICT, climate change (specifically pertaining to maximum temperature, minimum temperature and precipitation), and agricultural technological improvements that have an impact on cereal production.

To the best of the authors’ knowledge, this study is the first to examine how climate change and technology effect crop output in Vietnam from 1990 to 2018. Various econometrics tools, such as ARDL modeling, VDM and IRF, are used for estimation.

The main purpose of this study is to evaluate the probability of default and examine the relationship between default risk and financial performance, with dynamic panel moderation of firm size.

This study utilizes a total of 1,500 firm-year observations from 2013 to 2018 using dynamic panel data approach of generalized method of moments to test the relationship between default risk and financial performance with the moderation effect of the firm size.

This study establishes the findings that default risk significantly impacts the financial performance. The relationship between distance-to-default (DD) and financial performance is positive, which means the relationship of the independent and dependent variable is inverse. Moreover, this study finds that the firm size is a significant positive moderator between DD and financial performance.

This study provides new and useful insight into the literature on the relationship between default risk and financial performance. The results of this study provide investors and businesses related to nonfinancial firms in the Pakistan Stock Exchange (PSX) with significant default risk's impact on performance. This study finds, on average, the default probability in KSE ALL indexed companies is 6.12%.

The evidence of the default risk and financial performance on samples of nonfinancial firms has been minimal; mainly, it has been limited to the banking sector. Moreover, the existing studies have only catered the direct effect of only. This study fills that gap and evaluates this relationship in nonfinancial firms. This study also helps in the evaluation of Merton model's performance in the nonfinancial firms.

The purpose of this study is to explore the determinants of needle stick injuries (NSIs) suffering in terms of occupational health and safety (OHS) coverage critically for health-care workers’ rights in Pakistan.

This is a qualitative study involving the designing of a questionnaire followed by the World Health Organization’s NSI prevention assessment tool and nationally published reports covering health-care workers’ OHS rights protection. A total of 17 public and private hospitals were surveyed with a two-stage sampling method. Descriptive and inferential statistics (one-way analysis of variance with multiple comparison tests) were applied and significant results were discussed (p = 0.05 & p = 0.01). The results were discussed critically in the context of the OHS rights of health-care workers.

Analysis revealed the following significant relationships: job type and safety behavior; age group of health-care workers and safety management; injection usage per day and safety behavior; past year’s needle sticks injuries cases with safety behavior and occupational exposure; work shift and work experience with safety knowledge, safety awareness and work experience with safety management. It was also found there is no specific OHS law in the country for health-care workers.

This study is limited in terms of sampling size and quantification of NSI burden among health-care workers.

Improved OHS management practices among health-care workers can control NSIs that ultimately ensure their workplace OHS rights. Health-care workers need OHS coverage in terms of awareness about potential workplace hazards and job training accordingly. Findings from extensive studies of a similar kind can give useful policy directions for workplace health management in health-care setup at the national level.

This study highlights the importance of OHS coverage for health-care workers in hospitals. It reports different determinants of NSIs suffering causing health-care worker’s rights violations at the workplace in Pakistan.