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Global climate change is becoming an increasingly serious issue. China, the largest carbon emitter, has a long way towards its sustainable development goals (SDGs) and take on its carbon reduction responsibility, especially in the industrial sector. In this vein, industrial intelligence, a key driver in the "Industry 4.0 era", offers an opportunity in this carbon reduction campaign. This paper seeks to examine the influences of industrial intelligence on carbon emissions, their heterogeneous characteristics and transmission mechanisms, and the moderating role of human capital. Therefore, we properly probed theoretical aspects, and then we used China's provincial data from 2006 to 2019 and a number of tests, namely the fixed effect model, the two‐stage test, and the moderating effect model, to test the relevant assumptions. We first unfolded that industrial intelligence can significantly mitigate carbon emissions. Specifically, the heterogeneous analysis found that carbon reduction efforts are more pronounced in China's central and western regions and resource‐based regions. We further highlight the mechanism identification, which reveals that industrial structure upgrading and technological innovation are the main channels for industrial intelligence to abate CO2 emissions. Importantly, we pinpoint the role of human capital, which positively moderates the relationship between industrial intelligence and carbon emissions and can well amplify the industrial structure effect of industrial intelligence. These results are conducive to accurately assessing the environmental benefits of industrial intelligence and providing policy enlightenment for China to alleviate carbon emissions, and they will also offer a reference for other developing countries to learn from. [ABSTRACT FROM AUTHOR]

This study aims to examine the environmental dynamics in the Union for Mediterranean (UFM) countries by considering education, urbanization, green innovation, and other key factors for the period 2001–2016. The data are divided based on the income level of UFM countries and analyzed with panel quantile regression, panel unit root tests, panel co-integration test, ordinary least squares method, and fixed effects model to evaluate the nexus between variables. A generalized method of moments (GMM) is employed to deal with the endogeneity issue in the panel data. The results of the study confirm that the urban population has an inverted U-shaped association with environmental degradation in the lower-middle and high-middle income countries. It further comes out that increased education levels decrease environmental degradation in the high-income countries. Hence, green innovation reduces environmental degradation in the upper-middle-income and high-middle-income countries. The study validates an inverted U-shaped relationship between GDP and environmental degradation in all income-based groups of countries, which supports the Environmental Kuznets Curve (EKC) hypothesis. [ABSTRACT FROM AUTHOR]

Many countries are facing environmental issues that affect the natural climate and life of human beings, therefore, governments have developed the strategies and regulations to control the industrial negative effects on the environment which is called environmental regulations (ER). To extend the porter hypothesis, we examined the moderating effect of product market competition (PMC) to find the circumstances that affect the association between ER and FP. We have divided PMC into high and low product market competition (HPMC and LPMC) by following the Herfindahl-Hirschman Index (HHI). The empirical investigation of this study demonstrates the following outcomes: ER indicates a statistically significant and positive relationship with FP. Furthermore, HPMC has great importance for FP, while LPMC has shown a negative relationship with FP. Besides, we tested the moderating effects of HPMC and LPMC on the association between ER and FP. The moderating effects of HPMC have significant and positive effects on the association between ER and FP. On the other side, the moderating effects of LPMC have significant and negative effects on the association between ER and FP. Moreover, this study promotes the importance of ER and PMC for firms. This study is beneficial for owners, investors, policymakers, and governments to form comprehensive and viable ER for reducing environmental negative effects. • This study tested the association of ER and FP along Product Market Competition (PMC). • This study employed fixed effect and GMM models and positive association between ER and FP occurred. • HPMC shows positive effects on FP. LPMC shows negative effects on FP. • The interaction of HPMC has shown positive effects on the association of ER and FP. • The interaction of LPMC has shown negative effects on the association of ER and FP. [ABSTRACT FROM AUTHOR]