Can social enterprises aid sustainable development? Evidence from multi-stage investigations.

BACKGROUND: Social enterprises must balance between profitability and sustainability. The impetus on sustainability grew further after the adaption of the SDG agenda by the United Nations (UN). OBJECTIVE: This paper examines the role of social enterprises in helping attain sustainable development goals in India. RESEARCH DESIGN: This multi-stage paper comprises three studies directed at scale development, scale refinement, pre-testing, and construct validity. The scale development stage is conducted through a combination of extensive literature review and focused group discussions. Expert discussions and item-reduction techniques have been used in the second stage aimed at scale refinement and pre-testing. The third stage of testing construct validity is carried out through Partial Least Square-Structural Equation Modelling (PLS-SEM). RESULTS: The findings suggest that all the competencies of social enterprises identified in the study i.e. social mission, collaborative networks, innovation, financial viability and level of scalability significantly impact sustainable development. CONCLUSION: Because the goals of social enterprises and the Sustainable Development Goals (SDGs) are mutually reinforcing and complementary, the study suggests that social enterprises have a lot of potential for achieving the SDGs. The study also suggests future research directions and policy implications that can be replicated in other countries.

Meteorological factors, COVID-19 cases, and deaths in top 10 most affected countries: an econometric investigation.

This paper examines the nexus between the Covid-19 confirmed cases, deaths, meteorological factors, including an air pollutant among the world's top 10 infected countries, from 1 February 2020 through 30 June 2020, using advanced econometric techniques to address heterogeneity across the nations. The findings of the study suggest that there exists a strong cross-sectional dependence between Covid-19 cases, deaths, and all the meteorological factors for the countries under study. The findings also reveal that a long-term relationship exists between all the meteorological factors. There exists a bi-directional causality running between the Covid-19 cases and all the meteorological factors. With Covid-19 death cases as the dependent variable, there exists bi-directional causality running between the Covid-19 death cases and Covid-19 confirmed cases, air pressure, humidity, and temperature. Temperature and air pressure exhibit a statistically significant and negative impact on the Covid-19 confirmed cases. Air pollutant PM2.5 also exhibits a significant but positive impact on the Covid-19 confirmed cases. Temperature indicates a statistically significant and negative impact on the Covid-19 death cases. At the same time, Covid-19 confirmed cases and air pollutant PM2.5 exhibit a statistically significant and positive impact on the Covid-19 death cases across the ten countries under study. Hence, it is possible to postulate that cool and dry weather conditions with lower temperatures may promote indoor activities and human gatherings (assembling), leading to virus transmission. This study contributes both practically and theoretically to the concerned field of pandemic management. Our results assist in taking appropriate measures in implementing intersectoral policies and actions as necessary in a timely and efficient manner. Causal relations of Meteorological factors and Covid-19 (2 models used in the study).

Nexus between environmental, social and economic development in South Asia: evidence from econometric models.

This study investigates the impact of various economic, social and environmental indicators on economic growth in South Asian countries. Using the data throughout 1990-2017, a panel data estimation method is adopted with sophisticated econometric approaches. The obtained results indicate a long-term positive effect of biological capacity, financial development, human development index, income inequality on economic growth while the effect of energy use is the opposite. The findings of the study suggest that governments and associated bodies must promote financial development, human development, and biocapacity to not only attain economic growth in the long-run and but dissuade ecological footprint, and income inequality at the same time while matching the energy consumption with the bio-capacity of each economy.