The energy intensity target in China's 11th Five-Year Plan period-Local implementation and achievements in Shanxi Province

Facing the mounting pressure on energy security and increasing environmental concerns about air pollution and climate change, the Chinese government set a mandatory goal of 20% reduction of energy intensity in its 11th Five-Year Plan period (FYP, 2006–2010). In this paper we use Shanxi province to illustrate how policies and measures are implemented in practice at a provincial level as a response to the National FYP issued by the central government. Local policies are described and their effects are analyzed. We compare reported energy saving achievements with our own estimates and conclude that the achievements in Shanxi probably have been substantial since the start of the 11th FYP period. The most important measures taken by provincial and local governments seem to be in the secondary sector, such as Top-200/Top-1000 program and phasing out outdated technologies. However, Shanxi has still a long way to go to achieve satisfactory energy use. Further improvement of energy intensity will require continuing efforts. Although many measures are necessary, improving the energy efficiency in heavy industries and reducing the dependence on these industries should be particularly effective

Co-benefits from CO2-emission reduction measures in Shanxi, China: A first assessment

This paper analyses a set of CO2-reducing abatement options related to coal consumption in Shanxi, China. The costs and potential for abatement are investigated for different economic sectors, and the entailed emission reductions are estimated in terms of CO2, SO2, and particles. The present population-weighted exposure level for particles and SO2 is estimated using air quality monitoring data, and a simplified methodology is applied to estimate the reduced population exposure resulting from the abatement measures. By means of exposure-response functions from Chinese and international epidemiology, the health effects from implementing the measures are indicated. An economic evaluation of the reduced health effect is made by employing unit prices of health impacts based on the damage cost approach. Estimates of the present agricultural crop loss attributable to enhanced levels of surface ozone are also given. The impact of emission reductions within Shanxi province is, however, limited due to the regional feature of ozone formation. This first assessment of CO2-reducing abatement options in Shanxi demonstrates that the measures are profitable in a socioeconomic sense. However, the study also demonstrates a certain lack of synergy between the options with respect to their effectiveness in meeting local, regional and global environmental concerns

A better integration of health and economic impact assessments of climate change.

Climate change could lead to high economic burden for individuals (i.e. low income and high prices). While economic conditions are important determinants of climate change vulnerability, environmental epidemiological studies focus primarily on the direct impact of temperature on morbidity and mortality without accounting for climate-induced impacts on the economy. More integrated approaches are needed to provide comprehensive assessments of climate-induced direct and indirect impacts on health. This paper provides some perspectives on how epidemiological and economic impact assessments could be better integrated. We argue that accounting for the economic repercussions of climate change on people's health and, vice versa, the consequences of health effects on the economy could provide more realistic scenario projections and could be more useful for adaptation policy

Change in household fuels dominates the decrease in PM_(2.5) exposure and premature mortality in China in 2005–2015

To tackle the severe fine particle (PM_(2.5)) pollution in China, the government has implemented stringent control policies mainly on power plants, industry, and transportation since 2005, but estimates of the effectiveness of the policy and the temporal trends in health impacts are subject to large uncertainties. By adopting an integrated approach that combines chemical transport simulation, ambient/household exposure evaluation, and health-impact assessment, we find that the integrated population-weighted exposure to PM_(2.5) (IPWE) decreased by 47% (95% confidence interval, 37–55%) from 2005 [180 (146–219) μg/m^3] to 2015 [96 (83–111) μg/m^3]. Unexpectedly, 90% (86–93%) of such reduction is attributed to reduced household solid-fuel use, primarily resulting from rapid urbanization and improved incomes rather than specific control policies. The IPWE due to household fuels for both cooking and heating decreased, but the impact of cooking is significantly larger. The reduced household-related IPWE is estimated to avoid 0.40 (0.25–0.57) million premature deaths annually, accounting for 33% of the PM_(2.5)-induced mortality in 2015. The IPWE would be further reduced by 63% (57–68%) if the remaining household solid fuels were replaced by clean fuels, which would avoid an additional 0.51 (0.40–0.64) million premature deaths. Such a transition to clean fuels, especially for heating, requires technology innovation and policy support to overcome the barriers of high cost of distribution systems, as is recently being attempted in the Beijing–Tianjin–Hebei area. We suggest that household-fuel use be more highly prioritized in national control policies, considering its effects on PM_(2.5) exposures

Combined impacts of climate and air pollution on human health and agricultural productivity

Climate change and air pollution can interact to amplify risks to human health and crop production. This has significant implications for our ability to reach the Sustainable Development Goals (e.g. SDGs 2, 3, 13, 15) and for the design of effective mitigation and adaptation policies and risk management. To be able to achieve the SDG targets, closer integration of climate change and air pollution both in terms of impact assessment for human health and agricultural productivity and respective policy development is needed. Currently, studies estimating the impacts of climate and air pollutants on human health and crops mostly treat these stressors separately, and the methods used by the health and agricultural science communities differ. Better insights into the methods applied in the different communities can help to improve existing and develop new methods to advance our knowledge about the combined impacts of climate change and air pollution on human health and crops. This topical review provides an overview of current methodologies applied in the two fields of human health and agricultural crop impact studies, ranging from empirical regression-based and experimental methods to more complex process-based models. The latter are reasonably well developed for estimating impacts on agricultural crops, but not for health impacts. We review available literature addressing the combined effects of climate and air pollution on human health or agricultural productivity to provide insights regarding state-of-the-art knowledge and currently available methods in the two fields. Challenges to assess the combined effect of climate and air pollution on human health and crops, and opportunities for both fields to learn from each other, are discussed

Change in household fuels dominates the decrease in PM_(2.5) exposure and premature mortality in China in 2005–2015

To tackle the severe fine particle (PM_(2.5)) pollution in China, the government has implemented stringent control policies mainly on power plants, industry, and transportation since 2005, but estimates of the effectiveness of the policy and the temporal trends in health impacts are subject to large uncertainties. By adopting an integrated approach that combines chemical transport simulation, ambient/household exposure evaluation, and health-impact assessment, we find that the integrated population-weighted exposure to PM_(2.5) (IPWE) decreased by 47% (95% confidence interval, 37–55%) from 2005 [180 (146–219) μg/m^3] to 2015 [96 (83–111) μg/m^3]. Unexpectedly, 90% (86–93%) of such reduction is attributed to reduced household solid-fuel use, primarily resulting from rapid urbanization and improved incomes rather than specific control policies. The IPWE due to household fuels for both cooking and heating decreased, but the impact of cooking is significantly larger. The reduced household-related IPWE is estimated to avoid 0.40 (0.25–0.57) million premature deaths annually, accounting for 33% of the PM_(2.5)-induced mortality in 2015. The IPWE would be further reduced by 63% (57–68%) if the remaining household solid fuels were replaced by clean fuels, which would avoid an additional 0.51 (0.40–0.64) million premature deaths. Such a transition to clean fuels, especially for heating, requires technology innovation and policy support to overcome the barriers of high cost of distribution systems, as is recently being attempted in the Beijing–Tianjin–Hebei area. We suggest that household-fuel use be more highly prioritized in national control policies, considering its effects on PM_(2.5) exposures