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It is consensus among Muslim social scientists that religion as an informal institution plays a very important role in building the socio-economic structure of an Islamic state. The transmission of religiosity across generations has important economic implications for a family in particular and a society in general. The Tawhidi methodology is applied for a theoretical model and for the development of the model. The purpose of this study is to determine the transmission of religious capital in an Islamic society.

This study by using an index of religiosity for both parents and their offspring has explored the causal relationship between the religiosity across generations. By using three-tier analytical strategies, i.e. zero-order regression, model with control variables and model with mediating variables, this study has regressed two models for each control and mediating variable.

The findings for the core variable in all models confirmed the hypothesis of the study that parental religious traits are important determinants of the religiosity of their offspring. For the model of control variables, the variables of area, gender and age of the respondent along with the parental religious index are found to be significant with appropriate signs. For the model with mediating variables, only the variable of parental sharing of religious values along with the parental religious index are found to impact the religiosity of the offspring. Therefore, the nutshell of the findings is that the religious orientation of an offspring is highly influenced by the religious denominations of the parents. The formation of the religious capital is a continuous process and the ultimate result of divine knowledge.

Data at the national level are not collected for this purpose by governmental organizations in a country like Pakistan because of shortage of funds. Therefore, data are collected by the authors.

This study will provide guidance to policy-makers for the formulation of their policies.

Intergenerational transmission of religious capital plays a very important role in the moral development of an ideal society.

This is an original effort and is conducted for the first time in Pakistan.

It is consensus among the social scientist that education plays a vital role in human capital formation. The purpose of this paper is to explore the issue of education transmission across generations.

Primary data were collected from 613 households which were selected by applying the systematic random sampling technique. By using education as a continuous variable, the human capital base model has been estimated. These models have been estimated by applying the OLS technique.

The study finds persistence in education across generations and inequality in educational achievements. Mother’s education is found to be more important for daughters in the gender analysis but for combined effect father’s education has been observed stronger than mothers. The models with interaction terms have shown a stronger son-father and daughter-mother association in educational transmission. Moreover, findings exhibit that females are more educated as compared to males.

This study is providing a new dimension to the social scientist about the importance of education especially in a developing country like Pakistan.

The results of this study provide the guidelines to the policy makers and giving them the direction about the incremental change of the human capital through the intergenerational transmission mechanism.

The findings of this study can be used for upgrading of the social set up of a developing country like Pakistan.

This is an original effort and the first time this type of study is conducted in Pakistan.

This study aims to investigate the impact of the rise in coronavirus disease 2019 (COVID-19) cases on stock prices, exchange rates and sovereign bond yields in both Brazil and India.

The authors employ the wavelet transform coherence (WTC) and continuous wavelet transform (CWT) techniques on daily data from March 17, 2020 to May 8, 2021.

The findings show that COVID-19 has no impact on exchange rates but slightly increases sovereign bond yields from 2021 onwards. In contrast, the effect of COVID-19 on stock prices is quite high in both countries. There is a considerable consistency between COVID-19 cases and stock prices across different time–frequency dimensions. The rise in COVID-19 cases has an increasing effect on stock prices in Brazil and India, especially in the high-frequency ranges.

As far as the authors know, no prior study has simultaneously analyzed the effects of the COVID-19 pandemic on exchange rates, stock prices and sovereign bonds in Brazil and India.

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.

This study aims to identify the various economic and non-economic determinants of renewable energy consumption (REC) in Brazil, Russia, India, China and South Africa (BRICS). Due to the adverse effect of carbon emission on the environment, every country is trying for a transition from fossil fuel towards renewable energy. Renewable energy plays a crucial role in reducing carbon emission and combating climate change. Understanding the determinants that influence REC helps to promote this transition.

The study is based on an unbalanced panel data over the period 2002–2019 for all five BRICS nations. The panel corrected standard error (PCSE) method has been adopted to examine the determinants of REC.

Industrialization, population growth and foreign direct investment (FDI) are found to be significant economic determinants of REC while patent on environmental technologies, political instability and industrial design are significant non-economic determinants of REC in the BRICS nations.

The findings imply that to increase REC in BRICS nations, policymakers should incentivize industries for investments in renewable energy, attract FDI aligned with environmental regulations, raise population awareness through training, enforce industrial design standards, establish fair technology transfer frameworks to overcome patent barriers and create stable, long-term renewable energy policies with risk mitigation instruments to address political instability.

The study captures the effect of patents on environmental technologies and industrial design on the consumption of renewable energy. Thus, the novelty lies in investigating unexplored variables in the previous literature likely to affect REC.

This study aims to examine the relationship between financial development (FD), financial risk, green finance and innovation related to carbon emissions in the G7 economies.

This quantitative study examines the roles that financial development [FD: Domestic credit to private sector by banks as percentage of gross domestic product (GDP)], economic growth (GDP: Constant US$ 2015), financial risk index (FRI), green finance (GFIN: Renewable energy public research development and demonstration (RD&D) budget as percentage of total RD&D budget), development of environment-related technologies (DERTI: percentage of all technologies) and human capital (HCI: index) have on the environmental quality of developed economies. Based on panel data, the study uses a novel approach method of moments quantile regression as a main method to tackle the issue of cross-sectional dependency, slope heterogeneity and nonnormality of the data.

The study confirms that increasing economic development increases emissions and negatively impacts the environment. However, efficient resource allocation, improved financial systems, and green innovation are likely to contribute to emission mitigation and the overall development of a sustainable viable economy. Furthermore, the study highlights the importance of risk management in financial systems for future emissions prevention.

The study uses a reliable estimation procedure, which extends the discussion on climate policy from a COP-27 perspective and offers practical implications for policymakers in developing more effective emission mitigation strategies.

The study offers policy suggestions for a sustainable economy, focusing on both COP-27 and the G7 countries. Recommendations include implementing carbon pricing, developing carbon capture and storage technologies, investing in renewables and energy efficiency and introducing financial instruments for emission mitigation. From a COP-27 standpoint, the G7 should prioritize transitioning to low-carbon economies and supporting developing nations in their sustainability efforts to address the pressing challenges of climate change and global warming.

In comparison to the literature, this study examines the importance of financial risk for G7 economies in promoting a sustainable environment. More specifically, in the context of FD and national income with carbon emissions, previous researchers have disregarded the importance of green innovation and human capital, so the current study fills the gap in the literature related to G7 economies by exploring the link between the identified variables related to carbon emissions.

The purpose of the present study is to test the effect of financial development and environmental degradation on the control of corruption.

This study used a dynamic approach known as system GMM to analyze annual data from 90 developed and developing countries over 24 years, from 1996 to 2020.

The present study shows a significantly negative relationship between financial development and control of corruption and a significantly positive relationship between environmental degradation and control of corruption. The result suggests that improvement in financial development may reduce control of corruption; however, reduction in environmental degradation may reduce control of corruption. The results are consistent across both developed and developing countries.

The study’s findings have significant implications for financial institutions, governmental policy departments and environmental regulatory agencies. The policy outcomes are closely linked to the economic prosperity of countries. In general, developing countries can implement strategies to promote financial development and environmental regulations, even though they may temporarily tolerate corrupt activities. Conversely, developed nations may have differing implications from developing countries.

This study is different from the past literature as none of the studies have been conducted previously focusing on developed and developing countries’ financial development, environmental degradation and control of corruption.

This research paper aims to explore the link between financial innovation (FINV), green finance (GRF) and sustainability performance (SUSP) with the overarching objective of driving sustainable growth. The purpose is to understand how the integration of FINV and GRF can contribute to improved SUSP for businesses and organizations.

The study adopts a survey-based approach, synthesizing existing scholarly works, empirical studies and industry reports. It examines the theoretical foundations and empirical evidence to understand the relationship between FINV, GRF and SUSP.

The findings highlight a positive relationship between GRF and SUSP. GRF acts as a catalyst for FINV by providing the necessary financial resources and incentives for organizations to invest in sustainable technologies and practices. It enables businesses to enhance their SUSP by adopting environmentally friendly processes, reducing carbon emissions and promoting resource efficiency. The integration of FINV and GRF fosters sustainable growth by aligning economic, environmental and social objectives.

This research paper contributes to the existing literature by offering a comprehensive examination of the link between FINV, GRF and SUSP. It consolidates and synthesizes previous studies, providing a holistic view of the topic. The paper also presents practical implications for businesses and policymakers, emphasizing the need for strategic integration of GRF and FINV to drive sustainable growth. The identification of future research directions adds originality to the study, guiding scholars and practitioners toward areas of further investigation.

Recent research has demonstrated an increasing awareness among business communities about the importance of environmental concerns. Green human resource management (GHRM) has become a crucial business strategy for organizations because the human resource department can play a key role in going “green.” This study tests an integrative model incorporating the indirect effects of GHRM practices on employee organizational citizenship behavior toward environment (OCBE), through green employee empowerment. Moreover, this study investigates the moderating effect of individual green values on OCBE.

Using a paper–pencil survey, we collected multisource data from 365 employees and their immediate supervisors from Pakistan.

The results of structural regression revealed that GHRM has a significant indirect effect on OCBE through green employee empowerment. The results also indicated that individual green values moderated the positive relationship between green employee empowerment and OCBE.

Organizations should appropriately appraise workers’ green behavior and align their behavior to pay and promotion. Organizations should also encourage and motivate employees to be engaged in green activities and contribute to environmental management.

This study suggests that green employee empowerment and individual green values are important factors that influence the relationship between GHRM and employees' OCBE, and it empirically analyzes these proposed relationships in a developing country context.