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This study aims to study the impact of corporate governance (CG) versus ethical investment on the firm performance. It takes into account the firms of Bangladesh, India, and Pakistan for the purpose of the study. A composite variable of CG index and environmental, social, and governance (ESG) index is used to test the impact on the firm performance. Separate country wise and overall analysis is obtained. Regression analysis is used to obtain the results. Two measures of performance are used, one is return on assets (ROA) and other is Tobin Q. The findings of the study reveal that there is an impact of corporate governance index (CGI) on firm performance (overall and country wise) whereas ethical investment (EI) has an impact on firm performance when tested overall and no impact when checked for country wise results. The results further show that on country level, increase in CG measures may lead to positive results, but at the macro level, it may lower the performance. On the other hand, at the micro level, ethical finance may not show its impact; however, at the macro level, it has an impact. The study has implications for the investors and policymakers.

The purpose of this paper is to empirically investigate the effect of partial quantity rationing of credit on the technical efficiency of dairy farmers in the Punjab province of Pakistan.

Prior to the field survey, the authors constructed a theoretical model for clear identification of partial quantity rationed dairy farmers. Data from 154 dairy farmers were collected that represented three districts of the province. The collected data were analyzed in two stages: first, the efficiency level of dairy farmers was estimated using a stochastic frontier approach; second, the authors employed an inefficiency-effects model to estimate the effect of partial quantity rationing of credit on technical efficiency.

The results revealed that education level of the household head, cross-breed and imported cattle, and electric chaff cutter, all had significant positive impacts on technical efficiency, followed by diversified sources of income. Conversely, the analysis of our key variables, interest rate on principal amount and partial quantity rationing of credit had significant negative effects on the technical efficiency of dairy farmers in selected districts of the Punjab province in Pakistan.

The study will be an important contribution to the existing credit constraints and technical efficiency literature and will particularly help the rural financial institutions in terms of approving the loan amount according to the actual requirements of the borrowers. The study’s findings and subsequent recommendations will be useful for policy makers in achieving the actual production level, bringing down the poverty levels and ensuring food security in the country.

This study aims to explore the firm's specific, opacity and economy-specific variables to explain the variation in South Asian market returns and indicate that how the difference in adoption of accounting standards refers to the effect of the movement in stock returns.

Following the scope of the study, factor analysis, fixed effect, Driscoll and Kraay standard errors (DKSE) and Panel Corrected standard error (PCSE) models have been inducted to determine the influence of firm-specific, opacity and economy-specific variables on stock returns. The sample of study comprises 1,885 firms from five countries located in the South Asia region with the period 2005–2018. To ensure the reliability of data, firm-specific data have been collected from DataStream International, while an international country risk guide was used to compile the data for economy-specific variables.

This study concluded that firm-specific variables showed a consistent and significant association with stock return except for beta, accrual and momentum while earning aggressiveness was the only factor in opacity measure to capture the variation in stock return. The implementation of international accounting standards seemed to be significant and proves to be helpful to enhance the quality of accounting information.

The limitations of this study comprised the estimation error by avoiding the firm's observations with negative equity in case of earning opacity and majority (more than 50%) of the observation belongs to a single market as India out of final sample which leads to having biasedness in findings.

This study helps the investors to consider the firms with smaller market capitalization and lower book to market ratio and avoid the momentum strategy under firm specific factors. Moreover, earning aggressiveness under opacity domain capture the variation in stock return and must be considered while investing funds.

The influence of adoption of international accounting standards along with firm and economy specific variable in South Asian Equity Markets return was the major contribution. Moreover, the inclusion of DKSE and PCSE models to examine the relevance of the financial and economic informational environment was also considered as a part of major contribution of this study.

Wealth Management Products (WMPs) are the largest and most crucial component of China's Shadow banking, which are off the balance sheet and considered as a substitute for deposits. Commercial banks in China are involved in the issuance of WMPs mainly to; evade the regulatory restrictions, move non-performing loans away from the balance sheet, chase the profits and take advantage of yield spread (the difference between WMPs yield and deposit rate).

In this study, the authors investigate what bank related characteristics and needs; influenced and prompted the issuance of WMPs. By using a quarterly panel data from 2010 to 2019, this study performed the fixed effects approach favored by the Hausman specification test, and a feasible generalized least square (FGLS) estimation method is employed to deal with any issues of heteroscedasticity and auto-correlation.

This study found that there is a positive and significant association between the non-performing loan ratio and the issuance of WMPs. Moreover, profitability and spread were found to play an essential role in the issuance of WMPs. The findings of this study suggest that WMPs are issued for multi-purpose, and off the balance sheet status of these products makes them very lucrative for regulated Chinese commercial banks.

Non-guaranteed WMPs are considered as an item of shadow banking in China, as banks do not consolidate this type of WMPs into their balance sheet; due to that reason, there is no individual bank data available for the amount of WMPs. The authors use the number of WMPs issued by banks as a proxy for the bank's exposure to the WMPs business.

From a regulatory perspective, this study helps regulators to understand the risk associated with the issuance of WMPs; by providing empirical evidence that Chinese banks issue WMPs to hide the actual risk of non-performing loans, and this practice could mislead the regulators to evaluate the bank credit risk and loan quality. This study also identifies that Chinese banks issue WMPs for multi-purpose; this can help potential investors to understand the dynamics of WMPs issuance.

This research is innovative in its orientation because it is designed to investigate the less explored wealth management products (WMPs) issued by Chinese banks. This study's content includes not only innovation but also contributes to the existing literature on the shadow banking sector in terms of regulatory arbitrage. Moreover, the inclusion of FGLS estimation models, ten years of quarterly data, and the top 30 Chinese banks (covers 70% of the total Chinese commercial banking system's assets) make this research more comprehensive and significant.

Participatory wireless sensor networks (PWSN) is an emerging paradigm that leverages existing sensing and communication infrastructures for the sensing task. Various environmental phenomenon – P monitoring applications dealing with noise pollution, road traffic, requiring spatio-temporal data samples of P (to capture its variations and its profile construction) in the region of interest – can be enabled using PWSN. Because of irregular distribution and uncontrollable mobility of people (with mobile phones), and their willingness to participate, complete spatio-temporal (CST) coverage of P may not be ensured. Therefore, unobserved data values must be estimated for CST profile construction of P and presented in this paper.

In this paper, the estimation of these missing data samples both in spatial and temporal dimension is being discussed, and the paper shows that non-parametric technique – Kernel Regression – provides better estimation compared to parametric regression techniques in PWSN context for spatial estimation. Furthermore, the preliminary results for estimation in temporal dimension have been provided. The deterministic and stochastic approaches toward estimation in the context of PWSN have also been discussed.

For the task of spatial profile reconstruction, it is shown that non-parametric estimation technique (kernel regression) gives a better estimation of the unobserved data points. In case of temporal estimation, few preliminary techniques have been studied and have shown that further investigations are required to find out best estimation technique(s) which may approximate the missing observations (temporally) with considerably less error.

This study addresses the environmental informatics issues related to deterministic and stochastic approaches using PWSN.

This study aims to examine why tax reforms fail and explores how tax collection can be improved within a developing country context.

Data comprise 28 semi-structured interviews with taxpayers, tax experts and tax authority personnel based in Pakistan. The results are analysed using a combined lens of taxpayer trust and tax agencies’ capabilities.

Tax reforms failed to build taxpayers’ trust and tax agencies’ capabilities. Building trust is challenging and demands extensive ongoing engagement with taxpayers while yielding gradual permanent results. This requires enhancing confidence in government; educating taxpayers; removing complexities; introducing transparency and accountability in tax agencies’ operations and the tax system; promoting procedural and distributive justice; and reversing perceptions of corruption through reconciliation and stakeholder inclusivity. Developing tax agencies’ capabilities requires upgrading outdated technologies, systems and processes; implementing governance and organisational reforms; introducing an oversight board; and recruiting and training skilled professionals.

The findings can assist policymakers and tax collection authorities in understanding why tax reforms fail and identifying potential solutions.

This study contributes to the emerging literature by exploring tax administration failures in developing countries. It contributes to the literature by engaging stakeholders to understand why reforms fail and potential solutions to stimulate tax revenues.

This study aims to examine how positive supervisory support plays a role in attenuating employees’ knowledge-hiding behavior via the underlying mechanism of psychological ownership and workplace thriving. Integrating the social information processing perspective and conservation of resource theory, this study suggests that due to the mediating role of employee psychological ownership and workplace thriving, positive supervisor support may negatively affect knowledge-hiding behavior.

Hypotheses were tested with multiwave three-round survey data collected among 432 individuals in various Pakistani hotels.

This study found that supervisory support attenuated knowledge-hiding behavior by enhancing psychological ownership and workplace thriving serially. As expected, the supportive conduct of the supervisor positively influenced psychological ownership which, in turn, helped workplace thriving and eventually influenced employees’ knowledge hiding.

This study contributes to the extant body of knowledge on knowledge hiding by highlighting a significant antecedent that supervisory support may be instrumental in discouraging knowledge hiding. Furthermore, this study detailed an underlying serial mediating mechanism in the shape of psychological ownership and workplace thriving that connects supervisory support with reduced knowledge hiding.

Changes in climate may have both beneficial and harmful effects on crop yields. However, the effects will be more in countries whose economy depends on agriculture. This study aims to measure the economic impacts of climate change on crop farming in Bangladesh.

A Ricardian model was used to estimate the relationship between net crop income and climate variables. Historical climate data and farm household level data from all climatic zones of Bangladesh were collected for this purpose. A regression model was then developed of net crop income per hectare against long-term climate, household and farm variables. Marginal impacts of climate change and potential future impacts of projected climate scenarios on net crop incomes were also estimated.

The results revealed that net crop income in Bangladesh is sensitive to climate, particularly to seasonal temperature. A positive effect of temperature rise on net crop income was observed for the farms located in the areas having sufficient irrigation facilities. Estimated marginal impact suggests that 1 mm/month increase in rainfall and 10°C increase in temperature will lead to about US$4-15 increase in net crop income per hectare in Bangladesh. However, there will be significant seasonal and spatial variations in the impacts. The assessment of future impacts under climate change scenarios projected by Global Circulation Models indicated an increase in net crop income from US$25-84 per hectare in the country.

The findings of this study indicate the need for development practitioners and policy planners to consider both the beneficial and harmful effects of climate change across different climatic zones while designing and implementing the adaptation policies in the country.

Literature survey of the Web of Science, Science Direct and Google Scholar indicates that this study is the first attempt to measure the economic impacts of climate change on overall crop farming sector in Bangladesh using an econometric model.

This study examines the impact of ownership structure on firm financial performance, for 146 manufacturing firms listed at the Pakistan Stock Exchange (PSX) for the period 2003–2012.

The theoretical background of the present study is based on the agency theory. Ownership structure is measured by institutional shareholdings, insider shareholdings, foreign shareholders and government shareholdings, while return on assets (ROA), return on equity (ROE), market-to-book ratio (MBR) and Tobin's Q (TQ) are used as proxies of corporate financial performance. The dynamic panel generalized method of moments (GMM) method is employed to cater for the issue of endogeneity.

We find that institutional ownership exerts a significant positive impact on ROE and MBR, which suggests that institutional investors play a significant role in improving the financial performance of the sample Pakistani. Furthermore, the results reveal a significant positive relationship of insider ownership with ROA, ROE, MBR and TQ, which is consistent with the prediction of agency theory that concentration of insider ownership aligns the interest of shareholders with those of the managers and hence improves performance. A significant positive association of government shareholdings with ROA and ROE was also found. Therefore, policymakers may encourage government ownership in firms, which can help to improve corporate financial performance.

The present study contributes to the existing literature on ownership structure and corporate financial performance in an emerging market like Pakistan. It is worth mentioning that the institutional setup and corporate governance structure in Pakistan is yet at an evolving stage. Findings of this study may provide useful insights to corporate managers and investors about the relationship between ownership structure and financial performance of firms from the manufacturing sector in Pakistan.