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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.

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 empirically examine the influence of financial constraints on firm carbon emissions. In addition to the role of financial constraints in firm-level carbon emissions, this study also examines this influence in the presence of governance, environmental orientation and firm-level attributes.

Using pooled ordinary least square, this study examines the impact of financial constraints on firm-level carbon emissions using a panel of 1,536 US firm-year observations from 2008 to 2019. This study also used two-step generalized method of moment–based dynamic panel data and two-stage least square approaches to address potential endogeneity. The results are robust to endogeneity and collinearity issues.

The results suggest that financial constraints enhance the carbon emissions of the firms. The economic significance of financial constraints on carbon emissions is more pronounced for the firms that do not report environment-related expenditure investment and those that are highly leveraged. The authors further document that firms with a nondiverse gender board signify a statistically significant impact of financial constraints on carbon emissions. These results are also economically significant, as one standard deviation increase in financial constraints is associated with a 3.340% increase in carbon emissions at the firm level.

Some implicit and explicit factors like corporate emissions policy and culture may condition the relationship of financial constraints with carbon emissions. Therefore, it would be worthwhile to consider these factors for future research. In addition, it is beneficial to identify the thresholds and/or quantiles at which financial constraints may significantly make a difference in enhancing carbon emissions.

The findings offer policy implications for investment in stakeholder engagement for capital acquisitions, thereby effectively enforcing environmental innovation and leading to a reduction in carbon emissions.

This study integrated governance and environment-oriented variables in the model to empirically examine the role of financial constraints on the carbon emissions of the firms in the USA over and above what has already been documented in the earlier literature.

The main aim of this study is to investigate the impact of climate change and water salinity on farmer’s income risk with future outlook mitigation. Salinity and climate change are a threat to agricultural productivity worldwide. However, the combined effects of climate change and salinity impacts on farmers' income are not well understood, particularly in developing countries.

The response-yield function and general maximum entropy methods were used to predict the impact of temperature, precipitation and salinity on crop yield. The target minimization of total absolute deviations (MOTAD)-positive mathematical programming model was used to simulate the impact of climate change and salinity on socioeconomic and environmental indicators. In the end, a multicriteria decision-making model was used, aiming at the selection of suitable climate scenarios.

The results revealed that precipitation shows a significantly decreasing trend, while temperature and groundwater salinity (EC) illustrate a significantly increasing trend. Climate change and EC negatively impact the farmer's income and water shadow prices. Maximum reduction in income and water shadow prices was observed for A2 scenario (−12.4% and 19.4%) during 2050. The environmental index was the most important, with priority of 43.4% compared to socioeconomic indicators. Subindex amount of water used was also significant in study area, with 28.1% priority. The technique for order preference by similarity to ideal solution ranking system found that B1 was the best climatic scenario for adopting climate change adaptation in the research region.

In this study, farmers' income threats were assessed with the aspects of different climate scenario (A1, A1B and B1) over the horizons of 2030, 2040 and 2050 and three different indicators (economic, social and environmental) in Northwestern region of Pakistan. Only in arid and semiarid regions has climate change raised temperature and reduced rainfall, which are preliminary symptoms of growing salinity.

This paper seeks to provide empirical insight into how industrialization and technology affect environmental quality in Ghana.

Using Ecological Footprint (ECF) as a measure of environmental degradation, the authors employ annual data from World Development Indicators of the World Bank and the Global Footprint Network spanning from 1970 to 2017 and apply the fully modified least squares (FMOLS) technique.

The results reveal that industrialization has a negative significant influence on ECF, suggesting that industrialization contributes to environmental sustainability in Ghana. The authors find that technology is harmful to the environment as it has a positive significant effect on ECF. The study also documents that while education and financial development improve environmental sustainability, fossil fuel consumption exacerbates environmental degradation in Ghana.

The environmental impact of industrialization is still being debated, with very scanty empirical evidence in the African context. Based on a detailed review of the literature, this paper provides an initial attempt to investigate the industrialization–environmental sustainability nexus in Ghana. Besides, whereas most extant studies have employed CO₂ emission as a proxy of environmental degradation, the authors use ECF to gauge the level of environmental degradation which is regarded as a more inclusive metric.

Over the years, shrines have been ignored as a destination by islamic marketing scholars. However, shrines can be classified as Islamic spiritual destinations which are visited by people to serve various purposes. Moreover, in the country context of Pakistan with its beautiful cultural traditions and the religiousness among people, the visit to a shrine as a destination experience is scantly examined. This study fills this void and aims at exploring Muslim tourists' spiritual experiences of visiting shrines as Islamic spiritual destinations.

An interpretive qualitative inquiry is used based on phenomenology as the leading methodology for this exploration. Following a purposive sampling technique, researchers interviewed 10 informants who regularly visit shrines. The collected data are analyzed based on thematic analysis.

The results of a thematic analysis reveal six themes that emerged from tourists' experiences of Islamic spiritual destinations. These include: religious and spiritual values, spiritual belief system, commercial experience, hospitality and support experience, socialization experience and obstruction experience.

The findings of this study can be used by policymakers managing Islamic tourist destinations. It will help them to improve tourist experiences.

The findings contribute to both theory and practice of destination marketing by exploring the factors influencing tourists' perceptions about their experience of Islamic spiritual destinations.

This study aims to explore the relationships between strategic improvisation, organizational culture and higher education institutions (HEIs) performance. The dynamic nature of today’s environment, increased population and demand and budget cuts have created a lot of pressure on HEIs around the world. Hence, the need for effective human resource capable of providing advanced policies for efficiency and sustainability of these institutions.

A total of 229 questionnaires were filled and returned by academic leaders from HEIs in Kano state, Nigeria. The study used partial least squares path modelling to test the hypotheses postulated.

The major findings indicate that both strategic improvisation and organizational culture dimensions have direct relationship with HEIs performance. However, only innovative culture moderates the relationship between strategic improvisation and HEIs, while bureaucratic culture and supportive culture fail to support the proposed hypothesis.

More studies are needed to further validate the impact of strategic improvisation (SI) on other public sector performance. Also, future studies should use longitudinal approach to establish at which stage SI has more impact on performance. Also, future studies should identify the difference that exists between units, department and faculty leaders, as some are more likely to engage in SI due to the nature of their specialization.

It is obvious that HEIs performance is not only limited to organizational factors but also individual characteristics such as ability to improvise. Hence, HEIs should consider SI ability during employment to ensure efficiency, performance and sustainability. Moreover, organizational culture of HEIs needs to be updated and to be more flexible in accommodating new initiatives or failure to encourage display of such ability.

Previous studies especially in the for profit sector have demonstrated the role of SI and organizational culture on performance. Thus, the present study is one of the early studies in the non-profit sector, specifically the HEIs. Moreover, the inconsistent result of the previous findings necessitates the study to test the moderating effect of organizational culture.

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.

The purpose of this paper is to discuss the inheritance of a business from the Islamic accounting perspective.

The paper adapts the relevant provisions of conventional accounting standards and practices that conform to Sharīʿah (Islamic law). In addition, the provisions of the Islamic accounting standard for musharakah (AAOIFI’s FAS No. 4) found to be relevant are also adapted.

The study shows that the assets of an inherited business should be measured at their fair values and that liabilities and legacies must be deducted therefrom with the view to arriving at the equity (or residue). The equity is then distributed among the heirs based on the sharing ratio established according to the Noble Qurʾān, the Sunnah (the Prophet’s way) and Muslim jurists’ views. Therefore, the inherited business becomes a family business as each heir is admitted into it. By extension, Islam emphasizes that the business should remain a going concern to generate income to sustain the welfare of the heirs.

The discussion of the paper is limited to the inheritance of a business and its going concern in line with the Sharīʿah.

Special attention should be paid to the inherited business to ensure not only its continuity to generate income for the heirs but also that each heir gets a correct share of the equity of the business as regulated by the Sharīʿah.

This study links Islamic inheritance to the going concern of the business, which from all indications has not been given full consideration by previous studies.