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The Covid-19 crisis has inflicted a disruptive impact on the conventional institutional format of architecture studio pedagogy. As a result, there is a critical suddenness for an alternative approach to ensure continuity. The research pursues is to pursue a multidisciplinary study with a focus on the following domains: architecture, the science of learning and e-learning architecture. Inference from the study would become the basis for a theoretical proposition for improvement of the existing pedagogical framework. Moreover, the literature would add valuable insights to the knowledge base.

An exploratory research approach is used for this study. The inquiry-based approach enlightens on the role of the architect in society. Also, the nature of architectural design education that existed prior to the Covid-19 outbreak is examined. Further, the paper explores the impact of the paradigm shift from institutional mode to e-learning mode overnight. Purposefully multi-disciplinary studies are pursued to develop a broad understanding of the associated domains. This could effectively contribute to developing an effective pedagogical framework. This would facilitate the conduct of architecture studio discourse in a structured manner during the current scenario.

The confluence approach – a theoretical proposition for effective structuring of architecture studio pedagogy has evolved as part of the research. Further, the proposed virtual learning pyramid enlightens on the drive to continue on with augmentation of students existing creative acumen. Which is one of the universally sought-after goals of studio pedagogy even during times of uncertainties.

Pedagogues would find the study very meaningful for the conduct of architecture design studio in e-learning mode. They would also acquire a broad understanding of factors to be considered. The research would pave way for future studies in this area from a multi-disciplinary perspective.

The current Covid-19 crisis deters architecture studio discourse from being conducted in an accustomed institutional format. Therefore, it becomes important for institutions to ensure continuity of architectural education with the help of new measures. In concurrence, the research envisions an alternative approach: virtual design studio using e-learning mode. This would ensure continuity of architectural education even when the instructor and students are separated in either time or place.

The study presents a unique contribution to the limited literature available on architecture studio pedagogy during the e-learning scenario.

The study attempts to examine the bias-adjusted financial and operational efficiency estimates of microfinance institutions (MFIs) operating in the Eastern Europe and Central Asia (ECA) region during the financial year 2017–2018. In addition, the study also identifies the responsible factors determining the financial and operational performances of MFIs operating in the ECA region.

The study employs two-stage bootstrap data envelopment analysis (DEA). In the first stage, the authors incorporate the bootstrap procedure in the DEA framework as suggested by Simar and Wilson (2000) to estimate the bias-corrected efficiency scores of 67 sample MFIs. In order to identify the drivers of efficiency level, the study deploys the bootstrap truncated regression model following the Simar and Wilson (2007) guidelines in the second stage of analysis.

The authors note from the empirical results that MFIs operating in the ECA region are relatively more financially efficient (0.588) than socially efficient (0.496). However, none of the MFIs were found to be operating at best-practice frontier while considering the bias-adjusted efficiency estimates. Further, the results of second stage of analysis confirm that corporate governance, that is, board size has positive and statistically significant impact on MFIs’ performances. In addition, the bad credit quality deteriorates both financial revenue and operational efficiency. Moreover, the MFIs’ size, profit status and debt-to-equity ratio were also found to be statistically significant to determine the operational and financial efficiency of MFIs in the ECA region.

The study provides the robust efficiency estimates and factors responsible to determine the financial and operational efficiency of MFIs operating in the ECA region. Further, the empirical results of the study provide the inputs and further direction to the policymakers, regulators, practitioners and managers in framing the policy and optimal operating strategies for ECA MFIs industry.

The study extends the DEA analysis by incorporating the bootstrap procedure in DEA model to estimate the bias-adjusted efficiency scores which are more reliable and robust. In addition, bootstrap truncated regression has been applied to identify the drivers of efficiency. Moreover, in the literature there is no single study which has deployed the double bootstrap DEA framework to examine the financial and operational efficiency estimates and its drivers.

Among all of the world's continents, Asia is the most important continent and contributes 60% of world growth but facing the serving issue of high nonperforming loans (NPLs). Therefore, the current study aims to capture the effect of credit risk management and bank-specific factors on South Asian commercial banks' financial performance (FP). The credit risk measures used in this study were NPLs and capital adequacy ratio (CAR), while cost-efficiency ratio (CER), average lending rate (ALR) and liquidity ratio (LR) were used as bank-specific factors. On the other hand, return on equity (ROE) and return on the asset (ROA) were taken as a measure of FP.

Secondary data were collected from 19 commercial banks (10 commercial banks from Pakistan and 9 commercial banks from India) in the country for a period of 10 years from 2009 to 2018. The generalized method of moment (GMM) is used for the coefficient estimation to overcome the effects of some endogenous variables.

The results indicated that NPLs, CER and LR have significantly negatively related to FP (ROA and ROE), while CAR and ALR have significantly positively related to the FP of the Asian commercial banks.

The current study result recommends that policymakers of Asian countries should create a strong financial environment by implementing that monetary policy that stimulates interest rates in this way that automatically helps to lower down the high ratio of NPLs (tied monitoring system). Liquidity position should be well maintained so that even in a high competition environment, the commercial is able to survive in that environment.

The present paper contributes to the prevailing literature that this is a comparison study between developed and developing countries of Asia that is a unique comparison because the study targets only one region and then on the basis of income, the results of this study are compared. Moreover, the contribution of the study is to include some accounting-based measures and market-based measures of the FP of commercial banks at a time.

This paper aims to investigate the critical aspect of financial development, human capital and their interactive term on economic growth from the perspective of emerging economies.

Data set ranged from 2002 to 2017 of 83 emerging countries used in this research and collected from world development indicators of the World Bank. The two-step system generalized method of moments is used to conduct this research within the endogenous growth model while controlling time and country-specific effects.

The findings of the study indicate that financial development has a positive and significant effect on economic growth. In emerging countries, human capital also has a positive impact on economic growth. Financial development and human capital interactively affect economic growth for emerging economies positively and significantly.

The data set is limited to 83 emerging countries of the world. The time period for the study is 2002 to 2017.

This research contributes to the existing literature on human capital, financial development and economic growth. Limited research has been conducted on the impact of financial development and human capital on economic growth.

This study aims to examine the causal relationship between tourism and overall well-being. The main objective of this research is to inform the policymakers that tourism can play a vital role in shaping the overall well-being in the developing economies.

This investigation used several time series techniques and procedures that include bounds test and autoregressive distributed lag mechanism to analyze the relationship between tourism and overall well-being in Pakistan by using time series data for the period 1980-2016.

The findings suggest a significant positive relationship between tourism and overall well-being both in the short and long run. The authors find that tourism and overall well-being affect each other positively.

This research indicates that policymakers and government can improve the overall well-being through tourism development. However, tourism policies and long-term planning should be focused on sustainable developments for achieving long-term goals. Besides, special incentives should be provided to the private sector for tourism development.

To the best of the authors’ knowledge, this is the first investigation that examines the causal relationships between tourism and overall well-being through objective indicators in a developing economy. This study fills the immense literature gap and provides new directions to scholars to investigate the mentioned relationship through objective indicators.

Pakistan has marvellous growth and development capacity, and entrepreneurial small- and medium-sized enterprises (SMEs) play a key role in its development. As it is believed that entrepreneurial SMEs make an important contribution to the economy by providing employment and soaring production capacity, the purpose of this study is to investigate the hurdles that affect their performance.

A questionnaire-based survey was used to collect data from 225 entrepreneurial SMEs owners and managers in the southern region of Pakistan. Statistical analysis in SPSS was conducted to determine the barriers that limit the growth and development of SMEs.

The findings show that factors affecting entrepreneurial SMEs’ performance in Pakistan are lack of finance and infrastructure as well as economic barriers, corruption and management issues. These obstacles are positively and significantly associated with entrepreneurial SMEs’ failure.

This study’s significance lies in its identification of the barriers that affect the performance of entrepreneurial SMEs in Pakistan. The author also suggests how policymakers can devise better policies for SME growth.

The unparalleled crisis due to the COVID-19 pandemic has displaced the existing normal in every field of higher education. Especially architecture education with high dependence on institutional studio based pedagogical participation has been affected. Consequently, there is a critical necessity to reinvigorate pedagogical approaches in order to ensure continuity of pedagogical pursuits.

A systematic approach is used to conduct an interdisciplinary study. The research mainly attempts to externalize the basics of virtual design studio composition. In concurrence role of instructional design in providing an underlying framework for enabling virtual discourse is also explored. Primarily, the process commenced by identifying objectives and queries which needed to be addressed. In order to deal with the concerns rationally, the research used exploratory approach. The primary data were based on focus group interactions. The secondary data were based on relevant subject-oriented literature reviews; explicit information based. Explanatory mode of analysis is used to interpret the outcome.

A pedagogical design; an instructional design process model for effectively structuring the virtual design studio has evolved as part of the research. In addition detailed insights have been derived about the key integrals that make up the constituent phases of the virtual design studio.

The research provides insights into the methodological structure of virtual design studio. The inferences would provide the pedagogues a comprehensive and rational overview to envision and conduct architecture studio discourse virtually.

The study presents a unique contribution to the limited literature available on virtual design studio pedagogy and instructional design in virtual mode.

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 examine the total factor productivity (TFP) change and its components: efficiency change and technical change in microfinance institutions (MFIs) in India operating from 2005 to 2018. The study also scrutinizes the variations in productivity levels across the distinct organizational form and size groups of MFIs. In addition to this, the authors identify the contextual factors that determine TFP growth, catching-up and technology innovation in MFIs.

The study employs a smooth homogeneous bootstrap estimation procedure of Simar and Wilson (1999) for obtaining reliable estimates of Malmquist indices –productivity and its components – in a data envelopment analysis (DEA) framework for individual MFIs. In order to identify the determinants of productivity change and its components, the study follows Simar and Wilson's (2007) guidelines and applies a bootstrap truncated regression model. The double bootstrap procedure performs well, both in terms of allowing correct estimation of bias and deriving statistically consistent productivity estimates in the first and root mean square errors in the second stage of the analysis.

The empirical results reveal that the MFIs have shown average productivity growth of 6.70% during the entire study period. The observed productivity gains are primarily contributed by a larger efficiency increase at the rate of 4.80%, while technical progress occurs at 2.3%. Nonbanking financial companies (NBFC)-MFIs outperformed non-NBFC-MFIs. Small MFIs show the highest TFP growth in terms of size groups, followed by the large MFIs and medium MFIs. The bootstrap truncated regression results suggest that the credit portfolio, size and age of MFIs matter in achieving higher productivity levels.

The practical implication drawn from the study is that the Indian MFI industry might adopt the latest technology and innovations in the products, risk assessment and credit delivery to improve their productivity levels. The industry must focus on enhancing the managerial skill of its employees to achieve a high productivity level.

This study is perhaps the initial attempt to explain the productivity behavior of MFIs in India by deploying a statistically robust double bootstrap procedure in the DEA-based Malmquist Productivity Index (MPI) framework. The authors estimate the bias-adjusted productivity index and its decompositions, which represent more reliable and statistically consistent estimates. For contextual factors responsible for driving productivity change, the study deploys a bootstrap truncated regression approach.

Financial and nonfinancial disclosures (sustainable accounting) are crucial in the annual financial reports of many firms. This study aims to explore the dynamic relationship between sustainability disclosure quality (SDQ) and financial performance (FP) within mandatory disclosure frameworks. SDQ is evaluated across six dimensions, encompassing both the quality and quantity of disclosures, aiming to understand their reciprocal influence.

Using the generalized method of moments (GMM), this research analyzes data from 2013 to 2019, focusing on 99 listed Indian firms within the S&P Bombay stock exchange (BSE) 500 index. The study uses rigorous measurement criteria to assess SDQ and uses statistical methods to unveil the causal link between SDQ and FP.

The results show a positive causal connection between SDQ and FP, where organizations with good FP make relatively higher disclosures across FP proxies than their counterparts. Additionally, the study investigates the impact of research and development (R&D) expenditure and dividend payments (DIVD) on SDQ. Notably, lower R&D spending is associated with higher quality SDs, and companies with superior SDQ exhibit increased DIVD.

The findings advocate for strengthened regulatory compliance, incentivized sustainable practices and heightened reporting standards for a transparent business environment and achieving the relevant United Nations Sustainable Development Goals.

This research contributes original insights by uncovering the intricate relationship between SDQ and FP, shedding light on the impact of R&D expenditure and DIVD on SDQ. These findings contribute to a nuanced understanding of the interplay between FP and sustainability reporting within the context of mandatory disclosure frameworks.