The study aims to systematically examine the role of infrastructure investment on the quality of economic growth by using the regional panel data of 29 Chinese provinces. A comprehensive index is developed using the principal component analysis (PCA) to observe the economic growth quality. Regression results show that China’s infrastructure investment has not exceeded the threshold, and the quality of economic growth has improved significantly. The results were robust using the regional average investment level and infrastructure stock as instrumental variables for 2SLS and system GMM testing. Further, the mediation analysis confirms that infrastructure investment improves economic growth through the physical and material circulation of resources, market integration, and knowledge capital evolution. Overall the results provide more profound policy enlightenment with regards to infrastructure investment.

Accomplishing unremitting favorable health outcomes, especially reducing maternal mortality, remains a challenge for South Asian countries. This study explores the relationship between health expenditure and maternal mortality by using data set consisting of 18 years from 2000 to 2017. Fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) models were employed for the empirical analysis. The outcomes revealed that a 1% rise in health expenditure increased the maternal mortality rate by 1.95% in the case of FMOLS estimator and 0.16% in the case of DOLS estimator. This reflects that the prevailing health care system is not adequate for reducing maternal mortality. Moreover, the meager system and the priorities established by an elitist system in which the powerless and poor are not considered may also lead to worsen the situation. In addition, the study also added population, economic growth, sanitation, and clean fuel technology in the empirical model. The findings revealed that population growth has a significant long-term effect on maternal mortality—an increase of 40% in the case of FMOLS and 10% in the case of DOLS—and infers that an increase in population growth has also dampened efforts towards reducing maternal mortality in the South Asian panel. Further, the results in the case of economic growth, sanitation, and clean fuel technologies showed significant long-term negative effects on maternal mortality by 94%, 7.2%, and 11%, respectively, in the case of the FMOLS estimator, and 18%, 1.9%, and 5%, respectively, in the case of the DOLS estimator. The findings imply that GDP and access to sanitation and clean fuel technologies are more nuanced in declining maternal mortality. In conclusion, the verdict shows that policymakers should formulate policies considering the fundamental South Asian aspects warranted to reduce maternal mortality.

At present, concerns regarding climate change are common, especially in countries more vulnerable to environmental degradation. Greenhouse gases, including carbon emissions, are mainly considered to deteriorate the environment. Despite substantial agreement on many environmental issues, there are also important differences between regions and countries, and often, within nations. Accordingly, this study aims to examine the environmental performance of South and East Asian countries and its association with trade and other economic variables. Panel regression techniques and robust checks are used to examine the data, which covers 15 years from 2002 to 2016. The findings suggest an extensive negative association between trade liberalization and the environmental performance of selected countries. It is also shown that climate change performance is an important channel for the overall environmental change. The results regarding heterogeneous differences affirm the concept of sustainability and the pollution halo hypothesis. However, it is suggested that each country should make an effort to improve its environmental performance along with economic development. The role of green innovation and renewable energy is very crucial in this regard. The outcomes of this study could be helpful for researchers and policymakers to form better policies regarding the environment and climate change.

An increase in trade policy uncertainty raises policymakers’ concerns, as it can be harmful to investments and growth globally. This study examines the impact of reducing trade policy uncertainty on export product quality. Based on the ASEAN–China Free Trade Area (ACFTA), the difference-in-difference, two-way fixed, and triple difference methods were used to conduct benchmark tests. The results show that reducing trade policy uncertainty improves export product quality. Social capital has strengthened the role of the changing trade environments. The results were robust after the PSM-DID, placebo test, and deletion of outliers. Furthermore, the role of social capital is incorporated into the regression model. From the perspective of informal internal systems, this study expands the theoretical view of regional trade integration research and answers the current trade strategy adjustment and export transformation policy concerns.