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The Kingdom of Bahrain has had tremendous development in various areas in the last decade. As a result of this, increasing energy consumption in Bahrain puts a strain on the country's energy supplies and increased CO₂ emissions. This study investigates the determinants of carbon emissions in Bahrain.

This study employs the autoregressive distributed lag (ARDL) bounds test and vector error correction model (VECM) Granger causality cointegration methods for empirical analysis during 1980-2020. The unit root test and residual diagnosis have been applied to see the stationarity and normality of the model.

The analysis suggests no short run causality amid carbon emission, international trade, capital formation, economic development and energy consumption, but a long-run association jointly exist from the exogenous variables toward endogenous variables. The results of the study also revealed that trade and economic growth in Bahrain react negatively to environmental deterioration.

This research study’s outcome will help the policymakers to build sound external and environmental policies to sustain economic growth and suggested policymakers to emphasize on sustainable usage of energy, alternatives of energy supply, and creation of renewable energy to mitigate the impact of CO₂ emission.

The alternatives of energy supply and creation of renewable energy can positively influence the socio-economic state of the nation, like new job opportunities, revenue generation.

This study is unique as no other study till now has covered this period. The findings are also different as the past studies found short-run causality with the control variables, but the study found a long-run causality jointly.

Economic ties and formation of trade blocks escalates the movement of goods among the participants and bring different economic and structural changes. Therefore, the current research emphasises on the distribution of market structure and industrial value added among the participant countries of China–Pakistan economic corridor project while focussing on pre and post FTA status.

This study utilises the footloose capital model for analysing whether China or Pakistan is more suitable for attracting factors of production to increase their share of industrial value added. For econometric analyses the current research utilises data from 1995 to 2018 and maximum likelihood effect method to assess factors that affect regional value-added distribution.

Results show that both countries owe different level of economic developments. Effect of capital is, comparatively, similar for both countries while Pakistan supports trade openness which points towards the fact of positive utilisation of abundant labour resources in Pakistan by establishing industrial structure either through domestic capital formation or foreign investment. Whereas, share of labour and trade openness of China positively affect value added production of China.

This is one of the unique studies that studies the regional economic treaties usefulness for any developing country across Asia. Where this study uses the footloose capital model and maximum likelihood method for its analysis which is not previously done, while for detailed analyses the study further divides the timeframe into two parts as pre-FTA ranges from 1995 to 2006, post-FTA from 2007 to 2018 while overall results consist of whole-time frame.

This study intends to explore the impact of occupation and income on informal migrants in the face of COVID-19 induced lockdown in Bangladesh and their coping strategies to survive the pandemic situation.

The study adopted a qualitative research design in which four urban areas were chosen purposively from various parts of Dhaka city. The authors conducted 21 semi-structured in-depth interviews, four FGDs and eight months over participant observation for achieving study objectives. The four stages of data analysis used a thematic approach in the interpretive phenomenological analysis.

The results showed that respondents were massively affected due to loss of income and occupation in the period of induced lockdown. Besides, most people lost their earning sources entirely in this amid pandemic which bound them starvation in the mealtime along with several dynamic complications. The findings also revealed that they followed some surviving strategies such as taking loans, reducing expenses, consuming less food, selling land, jewelry, and goods, relatives and neighbor support, and government relief. Although these strategies somewhat supported them to struggle with the situation, their livelihood features became fragile immensely.

The findings will be an important guiding principle for the policymakers, aid organizations and development practitioners to prepare development policies for vulnerable informal migrants in developing countries like Bangladesh.

This is the first study that explores the informal migrants’ occupation and income during COVID-19 induced lockdown in Bangladesh. This research also highlights coping strategies of the informal migrants to survive the pandemic situation.

This paper aims to present a citation-based bibliometric review of Islamic banking efficiency literature from 2000 until August 2020 for analyzing the content of the literature and mapping future research directions.

Using bibliometric citation analysis, this study reviews and examines a total of 278 documents from Web of Science (WoS) indexed sources coupled with content analysis.

The results identified that the growth of Islamic banking efficiency literature has begun to rise since 2008 with an annual growth rate of 12.5% while identifying the most influential aspects of Islamic banking efficiency literature in terms of topics, papers, authors and keywords. The outcomes of science mapping (i.e. co-citation network, bibliometric coupling and co-authorship network) reveal that there are three underlying research streams in Islamic banking efficiency literature: growth of Islamic banking efficiency literature, stability and genuineness of Islamic banking operations and the methods in Islamic banking efficiency literature.

To the best of the knowledge, this is the first bibliometric review paper on Islamic banking efficiency literature. It successfully unveils the scientific mapping of published WoS documents with a future research agenda also proposed based on the review outcomes. These findings can be used in efficiency-related initiatives by managers or regulators for managing Islamic bank operations worldwide.

This paper aims to investigate the impact of selected macro-economic variables like real effective exchange rate (REER), GDP, inflation (INF), the volume of trade (TR) and money supply (M2) on-budget deficit (BD) in Bangladesh over the period of 1980–2018.

By using secondary data, the paper uses the Vector Error Correction Model (VECM) and Granger Causality test. Johansen’s cointegration test is used to examine the long-run relationship among the variables under study.

Johansen’s cointegration test result shows that there exists a positive long-run relationship of selected macroeconomic variables (real effective exchange rate, inflation, the volume of trade and money supply) with the budget deficit, whereas GDP has a negative one. The short-run results from the VECM show that GDP, inflation and money supply have a negative relationship with the budget deficit. The Granger Causality test results reveal unidirectional causal relationships running from BD to REER; TR to BD; M2 to BD; GDP to REER; M2 to REER; INF to GDP; GDP to TR; M2 to GDP and bidirectional causal relationship between GDP and BD; TR and REER; M2 and TR.

Bangladesh has been experiencing a budget deficit since 1972 due to a decline in sources of revenue. This study contributes to the empirical debate on the causal nexus between macroeconomic variables and budget deficits by employing VECM and Granger Causality approaches.

The primary purpose of this study is to integrate the stimulus-organism-behavior-accomplishment (S-O-B-A) paradigm to investigate the chain effect of university students' perceived university and family support on their entrepreneurial action (EA) with a serial mediation of their attitude and intention.

This study introduces stratified random sample to choose respondents and a cross-sectional research design. partial least square-structural equation modeling (PLS-SEM) has applied to thoroughly investigate the behavioral intention concerned with students' entrepreneurship action.

The findings explored that perceived university support and family supports positively impact students' entrepreneurship attitude, where perceived family support creates statistically more powerful implications than university support. Students' attitude toward entrepreneurship positively affects their entrepreneurial intent, and finally, the entrepreneurial pursuit has an affirmative impact on students' EA.

This study incorporates the S-O-B-A paradigm for the very first time to investigate the effects of students' environmental support on their EA with double mediation by their attitude and intention.

The purpose of this paper is to explore the contending role of important external inflows on the economic growth of Pakistan economy. The main purpose behind focusing on Pakistan is that it is receiving significant inflows from different international sources such as International Monetary Fund, World Bank and Asian Development Bank.

The study adopted the autoregressive distributed lag cointegration approach for the purpose of exploring the long-run cointegrating relationship among the variables. As Pakistan Government had been implementing some major liberalization policies during 1990s, data from 1976 to 2018 is used to estimate the specified models to reflect the impact of the surge of foreign inflows occurring from that time. In addition, error correction model is estimated for examining the short-run relationships.

The findings revealed the significant role played by different inflows in accelerating the economic growth. According to results, in the long run, all inflows, for example, Foreign direct investment (FDI), debt, official developdment assistance and remittances, have influenced significantly and positively the economic growth. The two control variables such as inflation and employment level included in the model have also played their expected role in the growth process. In the short run, some of the variables such as remittances, FDI and inflation rate have lost their significance level while for debt, aid and employment level, the signs of their coefficients become reversed.

Based on the findings, the study suggests the policymakers of Pakistan economy to liberalize the economy and attract more inflows from the external sources to accelerate economic growth.

To the best of the authors’ knowledge, this is the first comprehensive empirical study on the role of foreign inflows in the process of economic growth in the context of Pakistan economy.

This paper makes a novel attempt to estimate the potential impact of credit risk on foreign direct investment (FDI hereafter), thereby focusing on a completely unexplored area in the existing empirical literature.

To provide a comprehensive understanding of the relationship between credit risk and FDI inflows, the study incorporates all the eight-member economies of the South Asian Association of Regional Cooperation (SAARC hereafter) and analyzes a panel data set, over the period 2011 to 2019, extracted from the World Development Indicators, using the suitable econometric techniques for the efficient estimations of the specified models.

The results indicate a negative and statistically significant relationship between the credit risk of the banking sectors and FDI inflows. Similarly, market size and inflation rate appear to be the two other main factors behind the increasing FDI inflows in the SAARC member economies. Interestingly, the size of the market became irrelevant in attracting FDI inflows when the Indian economy is excluded from the sample due to its higher economic weight. On the other hand, FDI inflows are not dependent on the level of trade openness, with most of the specifications showing either an insignificant or negative coefficient of the variable.

The obtained results are unique and robust to alternative methodologies, and hence, the SAARC economies could consider them as the critical inputs in formulating the appropriate policies on FDI inflows.

The findings are unique and original. The authors have established a relationship between credit risk and FDI for the first time in the SAARC context.

This paper aims to review 69 studies related to Muslim consumer behavior and determine the relationship between these topics and Islamic rationality. In addition, this paper elaborates on Al-Ghazali’s Islamic rationality model.

A text analytics approach is used to map 69 studies on Muslim consumer behavior. In addition, the historical-critical and inductive approach is used to identify Muslim scholars’ concepts and opinions regarding Islamic rationality, especially Al-Ghazali.

This study confirms that Muslim consumer behavior is in line with the concept of Islamic rationality proposed by Al-Ghazali. This is evidenced by a strong awareness of Islamic morals and values, which fosters a high commitment to halal products.

The findings of this study will provide essential benefits in the development of Islamic rationality theory, which can then be used as an alternative in explaining Muslim consumer behavior and also can be used as a reference for stakeholders in the industry to mainstream halalfication on products offered in the Muslim market.

The value of originality in this study lies in identifying the relation between Islamic rationality and Muslim consumer behavior, and this effort was confirmed through 69 selected studies related to Muslim consumer behavior.

This paper aims to examine the influence of religious orientation on viewers’ loyalty, viewers’ satisfaction and perceived content quality; to examine the influences of perceived content quality and viewers’ satisfaction on viewers’ loyalty; and to examine the mediating roles of perceived content quality and viewers’ satisfaction.

A set of questionnaires was distributed to 750 respondents in Jordan using convenience sampling. The data were analysed using structural equation modelling.

The following are the findings: religious orientation has a direct positive influence on viewer’s loyalty, viewer’s satisfaction and perceived content quality; perceived content quality has a positive influence on viewer’s satisfaction; viewer’s satisfaction has positive influence on viewer’s loyalty; perceived content quality does not have any direct influence on viewer’s loyalty; perceived content quality has partial mediation role in the relationship between religious orientation and viewer’s satisfaction, while viewer’s satisfaction has full mediation role in the relationship between perceived content quality and viewer’s loyalty.

It is different from the previous studies that mostly focussed on religious commitment and religiosity as the important predictors of customer’s loyalty, and this study emphasised on the influence of religious orientation (the motivational approach of religion) as one of the religious dimensions that can affect customer’s loyalty model. The selected approach may provide additional insights into the existing loyalty models.