Environmental Science and Pollution Research - Resource endowment and economic development of different provinces in China vary greatly, resulting in large amount of CO2 transfers. We need further... 相似文献
Emissions from industrial activities pose a serious threat to human health and impose the need for monitoring both inorganic and organic pollutants in industrial areas.We selected Masson pine (Pinus massoniana L.) as potential biomonitor and collected the current (C) and previous year (C+1) needles from three industrial sites dominated by petrochemical,ceramics manufacturing,and iron and steel smelting plants and one remote site to determine heavy metals (Cu,Cd,Pb,Zn,Cr,Ni and Co) and polycyclic aromatic hydrocarbons (PAHs) in unwashed and water-washed needles.Both unwashed and washed C+1 needles showed generally higher concentrations of heavy metals and PAHs than C needles,although the washed needles more clearly spotlighted the accumulation effect of PAHs over exposure time.Water-washing resulted in a significant decrease in needle PAH concentrations with more significant effects shown in C needles.By contrast,needle heavy metal concentrations were much less affected by washing.Although heavy metals and PAHs might differ in adsorption and uptake strategies,their higher concentrations in the needles at the industrial sites indicated conspicuous contamination due to industrial emissions there,The PAH distribution patterns in pine needles accorded with the real types of energy consumption in the study sites and were efficiently used for pinpointing local pollutant sources. 相似文献
Technological innovation is one of the potential engines to mitigate environmental pollution. However, the implementation of new technologies sometimes fails owing to socioeconomic constraints from different stakeholders. Thus, it is essential to analyze constraints of environmental technologies in order to build a pathway for their implementation. In this study, taking three technologies on rural sewage treatment in Hangzhou, China as a case study, i.e., wastewater treatment plant (WTP), constructed wetland (CW), and biogas system, we analyzed how socioeconomic constraints affect the technological choices. Results showed that socioeconomic constraints play a key role through changing the relative opportunity cost of inputs from government as compared to that of residents to deliver the public good—sewage treatment—under different economic levels. Economic level determines the technological choice, and the preferred sewage treatment technologies change from biogas system to CW and further to WTP along with the increase of economic level. Mismatch of technological choice and economic level results in failures of rural sewage treatment, e.g., the CW only work well in moderately developed regions in Hangzhou. This finding expands the environmental Kuznets law by introducing the coproduction theory into analysis (i.e., inputs from both government and residents are essential for the delivery of public goods and services such as good environmental quality). A match between technology and socioeconomic conditions is essential to the environmental governance.
Distributed photovoltaic (PV) generation is a promising pathway for reducing carbon emission and meeting energy demands in electricity sector. Subsidies are essential to accelerate its deployment. This paper aims to study the optimal subsidy levels for distributed PV generation from the perspective of maximizing the net policy benefits (environmental and economic) by applying the principal–agent theory, which is a commonly used method of analyzing government incentive issues. Based on a detailed analysis of asymmetric information and of benefit conflicts between the government (the principal) and the investor (the agent), the optimal subsidy principal–agent model is established, in which the investor’s preference toward distributed PV generation is asymmetric and is described by a random variable. The equivalent model is then presented to obtain the optimal solutions, and a numerical example is provided to test the effectiveness of the model and to illustrate the implications of the solutions. The results show that high net policy benefits are directly influenced by a high investor preference. This emphasizes the importance for the government of improving the investor’s preference level and of eliminating asymmetric information to develop distributed PV generation and reduce subsidy costs. Additionally, lowering the market risk and enlarging the overflow value of distributed PV generation both contribute to subsidy cost savings. This paper offers policy makers an effective subsidy scheme to accelerate distributed PV generation development and will also be a useful reference for government to subsidize other renewable power systems to mitigate global climate and energy changes. 相似文献