Search results

This study investigated the impact of servant leadership on project success in nongovernment organizations (NGOs) working in a developing country like Pakistan. A moderated mediation design was employed, and the mediating role of employees' emotional intelligence (EI) and job stress (JS) was tested between servant leadership on project success. Moreover, the study also examined the moderating role of team effectiveness.

Data were collected from 441 project team members working on different developed projects. Data were analyzed using partial least square-structural equation modeling (PLS-SEM) technique.

Results revealed that servant leadership exerts a significant positive impact on project success. Also, it is noted that servant leadership significantly increases the employee's emotional intelligence that contributes to project success although it does not reduce JS. However, JS was found to be a significant mediator in the association between servant leadership on project success. The findings also revealed that team effect plays an imperative moderating role in ensuring project success.

The study is one of the very few studies conducted to assess the impact of servant leadership on project success in not-for-profit organizations. The study contributes to the literature and methodology by adopting a holistic approach to investigate the mediation of EI and JS along with the moderation of team effectiveness in the nexus of servant leadership and project success.

Infrastructure deficiency in Southeast Asian countries is ever growing and touched to a level where it harms the local economy as well as the international sector of the country. The gap between demand and supply for infrastructure is constantly on the upswing. The purpose of this study to investigate the effect of infrastructure on exports and foreign direct investment (FDI) inflow in selected Southeast Asian economies.

This study employs the pooled mean group (PMG) technique to velaborate that how the infrastructure affects export and FDI in the short run and long run during 1990–2018. For cointegration, Pedroni and Kao tests are used. Dynamic ordinary least square (DOLS) and the fully modified least squares (FMOLSs) estimators are employed for robustness check.

The findings support that aggregate and sub-indices of infrastructure significantly promote the export and FDI inflow in the long run. Also infrastructure, export and FDI inflow are cointegrated in the long run. FMOLS and DOLS found the most robust results.

Infrastructure development in determining trade and FDI has established a significant deal of attention in the modern era where a plethora of research studies encourage the opinion that better infrastructure attracts FDI and enhances export. However, this study uses a global infrastructure index, which comprises the sub-indices like transport, telecommunication, energy and financial sector, which gives us a clear picture regarding how Southeast Asia can catch up FDI and export benefits through infrastructure.

At any one time, 76 million people have an alcohol use disorder. Detoxification is a common intervention for alcohol dependence. There is a need regularly to assess and evaluate detoxification practice. The aim and objective of this paper is to describe the findings of audits which assessed the quality and safety of the detoxification experience and to implement changes to improve practice.

All community detoxifications in March 2009 and 2010 were included for the successive audits. Notes were inspected retrospectively three months post completion of detoxification using the audit standard.

A total of 50 and 59 people were eligible in respective audits. At 3 months post‐detoxification 23 per cent of patients had dropped out of treatment compared to 15 per cent in the re‐audit. In 2009, 31 per cent of patients remained completely abstinent and 10 per cent were drinking within safe limits but in 2010 figures improved to 36 per cent and 22 per cent, respectively. Disulfiram was continued by 66 per cent of abstinent patients in the initial audit and 89 per cent in the reaudit. Improved follow‐up protocol, regular advice and monitoring of disulfiram resulted in better abstinence and reduced drop out rates over successive years. Social and Behavioral Network Therapy and disulfiram taken under medical supervision after detoxification play a pivotal role in relapse prevention.

The study considers the importance of the post‐detoxification period, in terms of maintaining a patient's abstinence from alcohol.

Over the past two decades, China’s outward foreign direct investment (OFDI) has risen remarkably. Whether such an increase affects the Chinese export diversification (ED) is a significant issue that has surprisingly remained unaddressed. This study aims to explain this issue that how OFDI plays a vital role in symmetric and asymmetric effects on its ED.

The authors introduce a robust nonlinear autoregressive distributed lag (NARDL) model. Ironically, the purpose of this study is to analyze the symmetric and asymmetric effect of OFDI on ED.

The authors propose that growing OFDI would be more advantageous to China, rather than the policies of contraction. Therefore, the study provides valuable policy insights to consider the long-run asymmetric momentum given to ED by China’s OFDI.

The results of this study may seem to be an important newsletter for further policy discussion on how China can catch up on the benefits of ED through OFDI.

This paper aims to investigate the immediate effect of the outbreak of the COVID-19 pandemic by investigating volatility transmission and dynamic correlation between stock (conventional and Islamic) markets, bitcoin and major commodities such as gold, oil and silver at different investment horizons before and after 161 trading days of the outbreak of the COVID-19 pandemic.

The MGARCH-DCC and maximum overlap discrete wavelet transform -based cross-correlation were used in the estimation of the volatility spillover and continuous wavelet transform in the estimation of the time-varying volatility and correlation between the assets at different investment horizons.

The authors observed a sudden correlation breakdown following the COVID-19 shock. Oil (Bitcoin) was a major volatility transmitter before (during) COVID-19. Digital gold (Bitcoin), gold and silver became highly correlated during COVID-19. The highest co-movement between the assets was observed at medium and long-term investment horizons.

The study findings have a financial implication for day traders, investors and policymakers in the understanding of volatility transmission and intercorrelation in a bid to actively manage stylized and well-diversified asset portfolios.

This study is unique for its employment in estimating the time-varying conditional volatility of the investable assets and cross-correlations between them at different investment horizons, particularly before and after COVID-19 outbreak.

Social development is the ultimate goal of every nation, and climate change is a major stumbling block. Climate Risk Index has documented several climate change events with their devastations in terms of lives lost and economic cost. This study aims to link the climate change and renewable energy with the social progress of extreme climate affected countries.

This research used the top 50 most climate-affected countries of the decade and estimated the impact of climate risk on social progress with moderation effects of renewable energy and technology. Several competing panel data models such as quantile regression, bootstrap quantile regression and feasible generalized least square are used to generate robust estimates.

The results confirm that climate hazards obstruct socioeconomic progress, but renewable energy and technology can help to mitigate the repercussion. Moreover, improved institutions enhance the social progress of nations.

Government should improve the institutional quality that enhances their performance in terms of Voice and Accountability, Political Stability and Absence of Violence, Government Effectiveness, Regulatory Quality, Rule of Law and Control of Corruption to increase social progress. In addition, society should use renewable energy instead of fossil fuels to avoid environmental degradation and health hazards. Innovation and technology also play an important role in social progress and living standards, so there should be free hand to private business research and development, encouraging research institutes and universities to come forward for innovation and research.

The ultimate goal of all human struggle is to have progress that facilitates human beings to uplift their living standard. One of the best measures that can tell us about a nation’s progress is Social Progress Index (SPI), and one of many factors that can abruptly change it is the climate; so this study is an attempt to link the relationship among these variables and also discuss the situation where the impact of climate can be reduced.

Although social progress is an important concept of today’s economics discussion, relatively few studies are using the SPI to measure social well-being. Similarly, there is consensus about the impact of climate on people, government and crops but relatively less study about its overall impact on social progress, so this study attempts to fill the gap about the relationship between social progress and climate change.

The main contribution of this study is the solution for the impact of climate risk. Climate risk is not in human control, and we cannot eliminate it, but we can reduce the negative impacts of climate change. Moderator impact of renewable energy decreases the negative impact of climate change, so there is a need to use more renewable energy to mitigate the bad consequences of climate on social progress. Another moderator is technology; using technology will also mitigate the negative consequences of the climate, so there is a need to facilitate technological advancement.

The purpose of this paper is to examine the impact of corporate governance index (PAKCGI) on firm financial distress for a sample of 152 non-financial firms listed at Pakistan Stock Exchange (PSX) over the period from 2003 to 2017.

To examine the impact of PAKCGI on financial distress (Altman Z-Score), random effect model is applied. The PAKCGI is a self-constructed index based on the five important factors of corporate governance practices, i.e. board of directors, audit committees, right of shareholders, disclosures and risk management. The binary coding approach is adopted for the construction of PAKCGI. Altman Z-Score model is used as a proxy for financial distress indicator. The absolute value of Altman Z-score has been taken as financial distress indicator.

The outcomes of the study indicate a positive impact of PAKCGI on risk of firms’ financial distress. The positive coefficient of PAKCGI implies that the good corporate practices work as catalyst to reduce risk of financial distress in Pakistan. A significant negative impact of block holders on financial distress suggests that the concentrated block ownership take monopolistic decision to protect their interests. It has also been observed that significant positive impact of institutional ownership on financial distress exists in the Pakistani listed firms. Furthermore, this study also reveals that significant negative association between board size, CEO duality and financial distress indicator.

The findings may encourage the Pakistani listed companies to follow and implement good corporate governance practices, which would lead to increase the confidence of investors, regulators and stakeholders.

The current study extends the corporate governance literature by examining the relationship between the corporate governance attributes and the financial distress status of Pakistani listed companies. From the academic perspective, this paper adds to the knowledge concerning the association between corporate governance practices and risk of financial distress in emerging markets.

This paper aims to examine the mediating role of environmental concern in the relationship of green purchase awareness and purchasing behavior of fast food consumers keeping in view the theory of planned behavior.

A quantitative, cross-sectional design is used by collecting primary responses through a validated questionnaire. In all, 1,008 male and female buyers of fast food were sampled. Structural equation modeling is applied.

The results revealed that green purchase awareness has a positive relationship with green purchase behavior, and environmental concern has no mediation in the relationship. Upon having awareness, the respondents adopted green or pro-environmental behavior, but at the same time, they were found having least concern for the protection of environment.

This is a cross-sectional study with questionnaire. Multiple sources of data collection results in weakening self-reporting bias.

Implications count toward individuals, enterprises and society at general.

The study highlights the issue of not having concern for the protection of the environment even after having green purchase awareness. This is the first time the environmental concern is examined as a mediator in the selected relationship. The contradictory results of having no environmental concern differentiate this study from others.

This study has incorporated competitiveness by considering it a significant factor behind determining as well as moderating industrial value added in the environmental Kuznets curve (EKC) framework. This study aims to explore the moderating role of competitiveness policy in EKC with an aim to promote business led sustainability at national level.

Considering the environmental deterioration aspect of industrialization, this study tests the existence of EKC for SAARC countries using the data from 1996 to 2021 using second-generation static panel data model.

Estimated results have validated that moderating effect is responsible for improving environmental sustainability in SAARC countries. Furthermore, population density is responsible for increasing while trade openness is responsible for decreasing carbon emissions.

Higher industrial activities are a symbol of upward-moving economic growth. But its other impact is in the form of environmental deterioration. However, the relationship between industrialization and environmental quality can be identified through EKC.

This study aims to test the role of infrastructure for economic growth. For this purpose, panel data of the world is selected from 1998 to 2018 and the study has used slope moderator to test the productivity of real economic activity with economic growth.

In this context, the feasible generalized least square method is adopted to estimate the results. Four types of infrastructure indicators i.e. quality of air, port, rail and road are used along with disaggregated GDP.

According to the results of this study, the role of industrial and agricultural value addition without infrastructure is negative. For industrial value addition, the cross product with all infrastructure types positively impacts economic growth. All the infrastructures, along with services value addition, except seaport, are contributing to economic growth positively. Along with agriculture value addition, only road infrastructure is contributing to economic growth positively. This study has also used two control variables i.e. quality of education and institutions. These variables are also found to be positive and significant with economic growth.

This study explores the moderating role of quality of infrastructure sector on real sector productivity, which is leading to economic growth.