The importance of sustainable tourism is largely discussed in environmental literature under two different main streams: first, an ample amount of literature is available on the role of international tourism in economic development; second, the existing literature mainly focused on estimating tourism carbon footprints across countries. Limited work has been done on identifying the cost of carbon emissions on the tourism industry, which is evaluated in this study to fill the existing literature gap by using a large panel of 132 countries between 1995 and 2018. The results show that carbon emissions damage, methane (CH₄), nitrous oxide (N₂O) emissions, and population density substantially decrease inbound tourism and international tourism receipts that result in an impact on the increase in international tourism expenditures across countries. The ex-ante analysis shows that inbound tourism will likely decrease from 19.546% to 16.854% due to an increase in carbon emissions damage of 0.357% to 1.349% for the period 2020–2028. Subsequently, international tourism expenditures will decrease from 19.758% to 12.384% by increasing carbon emissions damage from0.832% to 1.025%. Finally, international tourism revenues will subsequently decline from23.362% to 18.197% due to lowering carbon emissions damage from 0.397% to −0.113% over a time horizon.

Social entrepreneurs are catalysts for social change on account of social value creation and opportunity identification, thereby improving the quality of life. Their contribution to society is particularly significant in times of crises and pandemics. Hence, the world health crisis caused by the COVID-19 pandemic has increased the need for social entrepreneurship across the globe. Despite social entrepreneurship’s relevance in social value creation, the studies regarding opportunity identification in times of social distancing are particularly rare. This constructivist-qualitative research fills the gap by employing the EDraw Mind Map tool to explore how the COVID-19 pandemic in general, and social distancing in particular, have shaped entrepreneurial opportunities for social innovation. The findings from content analysis reveal that ICT-based services and industry 4.0 hold a promising future during and post-COVID-19 scenario. They can facilitate a transformation of the threats of social distancing into distant socialization benefits and demand fulfillment. Furthermore, the study contributes to providing a comprehensive depiction of the myriad of opportunities created by social entrepreneurs worldwide. It also guides aspiring social entrepreneurs to adopt such technologies and aim for social integration to ensure quality mental health, education, employment, and manufacturing services in low-resource and developing countries’ contexts, as they are severely impacted by the pandemic.

The service industry provides distributive services, producer services, personal services, and social services. These services largely breakdowns due to restrictions on border movements, confined travel and transportation services, a decline in international tourists’ visitation, nationwide lockdowns, and maintaining social distancing in the population. Although these measures are highly needed to contain coronavirus, it decreases economic and financial activities in a country, which requires smart solutions to globally subsidize the services sector. The study used different COVID-19 measures, and its resulting impact on the services industry by using world aggregated data from 1975 through 2020. The study benefited from the Keynesian theory of aggregate demand that remains provided a solution to minimize economic shocks through stringent or liberalizing economic policies. The COVID-19 pandemic is more severe than the financial shocks of 2018 that affected almost all sectors of the globalized world, particularly the services sector, which has been severally affected by COVID-19; it is a high time to revisit economic policies to control pandemic recession. The study used quantiles regression and innovation accounting matrix to obtain ex-ante and ex-post analysis. The quantile regression estimates show that causes of death by communicable diseases, including COVID-19, mainly decline the share of services value added to the global GDP at different quantiles distribution. In contrast, word-of-mouth helps to prevent it from the transmission channel of coronavirus plague through information sharing among the general masses. The control of food prices and managing physical distancing reduces suspected coronavirus cases; however, it negatively affects the services sector’s value share. The smart lockdown and sound economic activities do not decrease coronavirus cases, while they support increasing the percentage of the services sector to the global GDP. The innovation accounting matrix suggested that smart lockdown, managing physical distancing, effective price control, and sound financial activities will help to reduce coronavirus cases that will further translate into increased services value-added for the next ten years. The social distancing will exert a more considerable variance error shock to the services industry, which indicates the viability of these measures to contained novel coronavirus over a time horizon. The study used the number of proxies to the COVID-19 measures on the service sector that can be continued with real-time variables to obtain more inferences.

COVID-19 established the need for even more social entrepreneurship globally. It is important for keeping society together in times of crises because it creates an environment that improves the quality of life during hard times and public health emergencies such as COVID-19. Even though it plays a unique role in returning things back to normal after a crisis, it faces opposition from many parts of society, especially the government. Still, there are not many studies that look at what the government should do to help or stop social enterprise during public health emergencies. That is why the goal of this study was to find out how the government has helped or hindered social entrepreneurs. Content analysis was conducted on the carefully mined data from the internet. The research found that regulations for social enterprises should be loosened, especially during and after pandemics and disasters. This could also make it easier to accomplish things in the government. It was also found that, in addition to financial help, capacity building through training can help social enterprises do more and make a bigger difference. This research provides broader guidelines for policymakers and new entrants in the field.

The Defined Benefit (DB) pension system operates under a Pay-As-You-Go (PAYG) framework, providing guaranteed post-retirement income and family pension benefits to Government Employees worldwide. However, rising pension liabilities, demographic shifts, and limited fiscal space have rendered the system financially unsustainable. Pakistan is not out of this problem, and Higher Education Institutions (HEIs) are particularly affected, as an increasing proportion of their recurrent grants is diverted toward pension obligations, constraining academic and developmental activities. While global pension reforms are well documented, the perspectives of operational pension administrators within Pakistan's HEIs remain largely unexplored. This study investigates sustainable reforms to optimise the DB pension payment system in HEIs. A qualitative multiple-case study design was used, including in-depth interviews with directors of finance, pension officers, auditors, and members of the HEC Board of Governors (BoG), supported by an extensive literature review. Using thematic analysis, both pre-empirical (literature-driven) and post-empirical (field-driven) frameworks were developed, identifying 25 additional mechanisms for controlling pension payments. The study proposes a comprehensive, evidence-based framework to assist policymakers, HEIs, and governing authorities in strengthening the financial sustainability of the DB pension system while ensuring the welfare of current and future employees.