Linking energy-based circularity with environment in high-income economies.

A circular economy is a regenerative approach that emphasizes resource efficiency, waste reduction, and the reuse of materials for a sustainable world. By adopting circular practices, we can reduce the negative impact of traditional linear economic models on the environment. According to the International Renewable Energy Agency (IRENA), the world is generating only 26% of total energy production from circular practices, which positively impacts environmental health.

Unraveling the South Asian enigma: concurrent manifestations of child anthropometric failures and their determinants in selected South Asian countries.

Malnutrition among children is pervasive in South Asia and there are also reports of overnutrition. To better understand this phenomenon, we need a composite measure. However, the existing measures such as CIAF (Composite Index of Anthropometric Failure) and its revised version have ignored the overnutrition aspect of the phenomenon.

Do natural disasters affect economic growth? The role of human capital, foreign direct investment, and infrastructure dynamics.

Natural disasters do occur and have become a global problem due to increasing intensity. Developing countries are mostly affected due to natural disasters owing to a poor environment, feeble adaptation, impoverished socioeconomic conditions, poor infrastructure, limited resources, and unstable institutions. The SDG 11.

Estimation of economic, environmental, and social efficiency for sustainable development in G-8 and SAARC countries: a data envelopment analysis.

In the recent era, economic growth is not enough to represent sustainable development. Sustainable development has three dimensions (i.e.

The role of infrastructure, socio-economic development, and food security to mitigate the loss of natural disasters.

This study shows the impact of risk (hazard, exposure, and vulnerability) and resilience (infrastructure, information and communication technology, institutional quality, food security, women empowerment, economic performance, human capital, emergency workforce, and social capital) indicators on losses due to natural disasters in 24 high-income, 24 upper-middle-income, 30 lower-middle-income, and 12 low-income countries from 1995 to 2019. It develops a new disaster risk index and disaster resilience index using standard index-making procedure (indicators selection, winsorization, normalization, aggregation). The generalized additive modeling was used to explore the non-linear relationship between response and explanatory variables.

Zig-zag technology adoption behavior among brick kiln owners in Pakistan.

This study uses the theory of planned behavior to examine the individual's intentions and zig-zag kiln technology adoption attitude in responding to carbon emissions in Pakistan. This study is based on cross-sectional data and a representative sample of 335 brick kilns owners from 11 districts of Punjab province of Pakistan is collected. Partial least squares structural equation modeling technique was used for the analysis.

Empirical analysis of CO emissions and sustainable use of energy sources in Pakistan.

Pakistan is experiencing increasing CO emissions in contrast with other regions of the world. The country is also facing the problems of low economic growth, energy poverty, and environmental pollution. The objective of the study is to analyze economic growth of Pakistan and obtain some alternate sources of production for sustainable environment.

Renewable energy, economic development, and ecological footprint nexus: fresh evidence of renewable energy environment Kuznets curve (RKC) from income groups.

This study aims to measure the association of real economic growth per capita, renewable energy consumption, and financial development with ecological footprints (EFP) across the 155 countries of four different income groups over the period of 1990-2017. For the analysis, the unit root tests allowing cross-sectional dependency, Westerlund cointegration test, common correlated effect of mean group, augmented mean group, mean group, and Dumitrescu-Hurlin panel causality test are used. The results verify both the environmental Kuznets curve (EKC) and renewable energy environment Kuznets curve (RKC) hypotheses in the high-income group; however, other groups have not shown reliable results.

Exploring the linkage among energy intensity, carbon emission and urbanization in Pakistan: fresh evidence from ecological modernization and environment transition theories.

This study uses ecological modernization and environmental transition theories to estimate the interaction among energy intensity, carbon emission and urbanization for the period of 1980-2017. We have systematically examined the empirical connections among emission, urbanization, income per capita, imports, exports, energy use, trade openness and energy intensity. The Johnson co-integration and Vector Error Correction Model (VECM) causality methods are employed for the sake of analysis.