Higher-Order Risk Measure and (Higher-Order) Stochastic Dominance

This paper extends the theory between Kappa ratio and stochastic dominance (SD) and risk-seeking SD (RSD) by establishing several relationships between first- and higher-order risk measures and (higher-order) SD and RSD. We first show the sufficient relationship between the (n+1)-order SD and the n-order Kappa ratio. We then find that, in general, the necessary relationship between SD/RSD and the Kappa ratio cannot be established. Thereafter, we find that when the variables being compared belong to the same location-scale family or the same linear combination of location-scale families, we can get the necessary relationships between the (n+1)-order SD with the n-order Kappa ratio when we impose some conditions on the means. Our findings enable academics and practitioners to draw better decision in their analysis

Nonlinear Effects of Eco-Industrial Parks on Sulfur Dioxide and Carbon Dioxide Emissions—Estimation Based on Nonlinear DID

Eco-industrial parks (EIPs) promote the coordination of economic development and environmental protection. This paper uses the nonlinear DID method, with the data of 288 cities spanning from 2003–2019, to study the nonlinear effects of EIPs on SO2 and CO2 emissions, aiming to portray the nonlinear and heterogeneous characteristics of EIP’s effects. Meanwhile, this paper examines the effects of EIPs more accurately and completely. The main results are as follows: 1. EIPs can significantly reduce CO2 and SO2 emissions, but there is significant heterogeneity between the effects. 2. The effect of EIPs on SO2 and CO2 emissions is nonlinear. In addition, it shows significant nonlinear characteristics as the change of foreign investment and population density in cities. Therefore, it is important to consider these nonlinear characteristics when establishing and evaluating EIPs. This paper accurately identifies the nonlinear effects of EIPs and provides some suggestions for the future development of EIPs

How Do China’s Development Zones Affect Environmental Pollution under Government Domination

Environmental pollution has recently become a serious economic issue, and finding ways to reduce pollution in economic development is an urgent task for developing countries, especially China. In this paper, we aim to document the policy role of development zones (DZs) in promoting China’s economic development on environmental pollution and consider the establishment of DZs as a quasi-natural experiment. Specifically, we identify the establishment of DZs on pollution emissions based on the staggered difference-in-difference (DID) approach by setting a dummy variable for DZ policies. Furthermore, we examine the heterogeneity of provincial and national (high-tech and economic development zones) DZs on pollution to detect the government domination effect. Finally, in order to deal with the potential spatial spillover effects of DZs, this paper applies the spatial difference-in-difference (SDID) method to explore the spatial reallocation effects of DZs. The results indicate that the provincial DZs can aggravate China’s pollution intensity, but they will no longer play the same role for national-level policies. Moreover, we find that national high-tech industrial DZs (HTZs) can reduce pollution intensity. In particular, the national DZs can bring about the reallocation of pollution among cities working as a selective place-based policy. That means that the national HTZs will not only reduce the local pollution intensity, but also reduce that of surrounding areas. Our empirical results highlight that cities should be encouraged to set up national HTZs in order to achieve an environmentally friendly high-quality development goal

Environmental pollution, a hidden culprit for health issues

The environmental and health impacts from the massive discharge of chemicals and subsequent pollution have been gaining increasing public concern. The unintended exposure to different pollutants, such as heavy metals, air pollutants and organic chemicals, may cause diverse deleterious effects on human bodies, resulting in the incidence and progression of different diseases. The article reviewed the outbreak of environmental pollution-related public health emergencies, the epidemiological evidence on certain pollution-correlated health effects, and the pathological studies on specific pollutant exposure. By recalling the notable historical life-threatening disasters incurred by local chemical pollution, the damning evidence was presented to criminate certain pollutants as the main culprit for the given health issues. The epidemiological data on the prevalence of some common diseases revealed a variety of environmental pollutants to blame, such as endocrine-disrupting chemicals (EDCs), fine particulate matters (PMs) and heavy metals. The retrospection of toxicological studies provided illustrative clues for evaluating ambient pollutant-induced health risks. Overall, environmental pollution, as the hidden culprit, should answer for the increasing public health burden, and more efforts are highly encouraged to strive to explore the cause-and-effect relationships through extensive epidemiological and pathological studies