Search Results (9)

This paper examines how local firm entry affects air pollution and whether the Air Pollution Prevention and Control Action Plan (APPCAP) changes this relationship. Using a county–month panel for 2010–2020, we match the Chinese Industrial and Commercial Enterprise Registration Database with county-level monthly PM2.5 data to measure new firm entry and its sectoral composition. To address the potential endogeneity of firm entry, we use the opening of high-speed rail as an instrumental variable. The results show that firm entry significantly increases county-level PM2.5 concentrations. This effect is highly heterogeneous across industries, with stronger pollution effects in sectors such as wholesale and retail, manufacturing, and accommodation and catering. We further find that the APPCAP significantly weakens the positive effect of firm entry on air pollution. Additional evidence suggests that the policy improves air quality not only by tightening environmental constraints, but also by shifting firm entry toward relatively cleaner industries. This paper explains the environmental consequences of local economic expansion from the perspective of incremental firm entry and provides new evidence on the joint role of environmental regulation and industrial restructuring in air pollution control. Full article

The promotion of clean cooking energy use (CCEU) in rural areas is a key part of energy transformation. At present, the understanding of the relationship between environmental regulation and household CCEU remains limited. We primarily focus on the “Air Pollution Prevention and Control Action Plan” (APPCAP), which is regarded as China’s strictest command-and-control environmental regulation. This provides us with a quasi-natural experimental setting in evaluating the impact of environmental regulation on rural households’ CCEU. Empirical results indicate that APPCAP has significantly promoted CCEU among rural households in China. The transmission of this effect occurs primarily through three channels, including non-farm employment, health awareness, and peer effects. A heterogeneity analysis reveals that the impact of APPCAP is more pronounced among vulnerable rural groups with lower education levels and lower income. Furthermore, households with smaller family sizes, heavier dependency burdens, and a male eldest child are more responsive to the APPCAP. Further analysis confirms the sustainability of the policy effects. These findings provide evidence for accelerating the energy transition in developing regions. Full article

Coordinated control of pollution and carbon reduction is an imperative choice for China’s overall transition towards sustainability. However, China’s environmental policies often treat pollutants and CO₂ separately, potentially resulting in imbalanced pollution and carbon reduction. Since several cities are not only critical cities for the Air Pollution Prevention and Control Action Plan (APPCAP) policy but also pilot cities for the Carbon Emissions Trading Scheme (ETS), this study aims to examine the extent to which the policy coordination of APPCAP and ETS can influence air pollutants and CO₂ emissions. Using panel data from 2011 to 2019 for China’s 231 prefecture cities, we compare the pollution and carbon reduction effects of separate and coordinated policy implementation of APPCAP and ETS via the difference-in-differences (DID) model and the causal forest model. Research shows that (1) the policy coordination of APPCAP and ETS has significantly reduced both air pollutants and CO₂ emissions in dual-policy pilot cities. For non-dual pilot cities, the separate implementation of APPCAP or ETS only exerts significant unilateral effects. (2) Enhancing government supervision, weakening the relationship between government and enterprises, and raising enterprises’ green innovation capabilities are the main mechanisms through which policy coordination can significantly influence pollution and carbon reduction. (3) The combined implementation impacts of APPCAP and ETS are more evident in pollution-intensive cities and cities with weak carbon-peaking trends. Our research inspires the development of a collaborative system of pollution reduction and carbon reduction policies. Full article

To reduce air pollution, China adopted rigorous control mechanisms and announced the Air Pollution Prevention and Control Action Plan (APPCAP) in 2013. Here, using OMI satellite, the NASA Socioeconomic Data and Application Center (SEDAC), and Fifth ECMWF (ERA5) data at a 0.25° × 0.25° resolution, we explored changes in NO₂, PM, SO₂, and O₃ and climatology over China in response to the Action Plan between 2004 and 2021. This study attempts to investigate the long term trend analysis of air pollution and climatic variations during two scenarios before (2004–2013) and after (2013–2021) APPCAP. We investigated the climatic effects of air pollution in China before and after APPCAP adoption using geographically weighted regression (GWR) and differential models to assess the contribution of air pollution. The spatial representation analysis demonstrated how air pollution affected climatic factors before and after the APPCAP. Several important findings were derived: (1) the APPCAP significantly influenced air pollution reduction in China post-scenario (2013–2021); (2) the Mann Kendall test investigated that all pollutants showed an increasing trend pre-APPCAP, while they showed a decreasing trend, except for O₃, post-APPCAP; (3) for climatic factors, the MK test showed an increasing trend of precipitation and mean minimum air temperature t_min post-APPCAP; (4) innovative trend analysis (ITA) showed a reduction in NO₂, SO₂, and PM, although O₃ showed no trend post-APPCAP; and (5) pre-scenario, NO₂ contributed to an increase in the mean maximum air temperature (t_max) by 0.62 °C, PM contributed to raising t_min by 0.41 °C, while O₃ reduced the t_max(t_min) by 0.15 °C (0.05 °C). PM increased t_max and precipitation with a magnitude 0.38 °C (7.38 mm), and NO₂ contributed to increasing t_min by (0.35 °C), respectively, post-scenario. In particular, post-scenario led to an increase in t_min and precipitation across China. The results and discussion presented in this study can be beneficial for policymakers in China to establish long-term management plans for air pollution and climatological changes. Full article

In China, due to the implementation of the Action Plan for Prevention and Control of Air Pollution (APPCAP), the concentrations of PM_2.5 (fine particulate matter) and severe haze in most cities have decreased significantly. However, at present, haze pollution in China has not been completely mitigated, and the problem of O₃ (ozone) has become prominent. Therefore, the prevention and control of haze and O₃ pollution have become important and noticeable issues in the field of atmospheric management. We used the Baidu search indices of “haze” and “ozone” to reflect public concerns about air quality and uncover different correlations between level of concern and level of pollution, and then we identified regions in China that require public attention. The results showed that (1) over the last decade, the search index of haze had a rapid trend of variation in line with changes in haze pollution, but that of O₃ had a relatively slowly increasing trend; (2) the lag days between the peaks of public concern and the peaks of air pollution became increasingly shorter according to daily data analysis; and (3) 96 polluted cities did not receive sufficient public attention. Although periods of heavily haze-polluted weather, which affects visibility, have generated much public concern, periods of slight pollution have not received enough public attention. Public health protection and environmental participation regarding these periods of slight pollution in China deserve appropriate levels of attention. Full article

China is expected to have a total installed photovoltaic capacity of 1300 GW in 2050, accounting for 39% of the national electricity consumption. However, air pollutants consisting of gases and particulates have attenuation effects on the solar radiation reaching the photovoltaic panels. This work purports to assess the influence of air pollutants on the photovoltaic power potential. We calculated the hourly point-of-array irradiance (POAI) in China for 2010–2020 with a spatial resolution of 0.1° × 0.1° using the PV_LIB model and assessed the effect of air pollutants on POAI. The results indicated that the annual average POAI in China for 2010–2020 ranged from 118 to 286 Wm⁻². The Air Pollution Control Action Plan (APPCAP) has played a certain role in photovoltaic power potential, and POAI has increased in areas where surface concentrations of air pollutants have declined. Especially in North China, the surface concentrations of CO, NO₂, PM₁₀, PM_2.5, and SO₂ decreased throughout the APPCAP period with −0.446, −4.985, −35.610, −30.700, and −26.251 μgm⁻³, respectively, corresponding to an increase in POAI of up to 4.917 Wm⁻². The surface concentrations of CO, NO₂, PM₁₀, PM_2.5, and SO₂ were negatively correlated with POAI, with correlation coefficients of −0.764, −0.854, −0.204, −0.110, and −0.664, respectively. Surface concentrations of air pollutants (CO, NO₂, PM₁₀, PM_2.5, and SO₂) and clear-sky POAI in 2018 showed a High-Low clustering in Northeast China and North China. This study demonstrates the role of China’s air pollution control policy in enhancing photovoltaic power potential. Full article

In January 2013, a dense haze covered 1.4 million kilometers of China and affected more than 800 million people. Air pollution in China had become a serious threat to the daily lives of people. The State Council of China enacted the “Air Pollution Prevention and Control Action Plan” (APPCAP) in 2013 to lower the particulate matter (PM) level. Between 2013 and 2017, each administrative division established its own environmental preservation strategy in accordance with the APPCAP. We examined the effects of the nationwide air pollution control policy, APPCAP, on chronic health conditions among adults using a nationally representative survey, CFPS, conducted in 2012, 2014, and 2016. We applied a difference-in-differences model, using the time gap when each administrative division implemented the APPCAP. We found that the APPCAP significantly reduced doctor-diagnosed chronic conditions of the respiratory and circulatory systems in the last six months. In respiratory diseases and circulatory system diseases, the treatment effect of the APPCAP was a 34.6% and 11.5% reduction in the sample mean, respectively. The poorest socioeconomic groups and the elderly benefited the most. The stronger the goal, the more positive the effects were on health; the longer the policy intervention, the better the health outcomes were. Full article

In this study, we propose an integrated econometric framework incorporating the difference-in-differences model, the propensity-score-matching difference-in-differences model, and the spatial difference-in-differences model to explore the effect of the Air Pollution Prevention and Control Action Plan on per capita carbon emission in China at the national, regional, and administrative levels. Contradictory results are supported under different econometric models, which highlight the importance and necessity of comprehensive analysis. Taking 285 prefecture-level and above cities as an example, the empirical results show that APPCAP has effectively reduced per capita carbon emission in China at the national level without the consideration of the spatial spillover effect. However, with the consideration of the spatial spillover effect, APPCAP has effectively and directly increased per capita carbon emission in local pilot cities at the national level, and reduced it among pilot cities via the spatial spillover effect, but the effects have become invalid in the non-pilot cities neighboring the pilot cities. Furthermore, the spatial heterogeneity of the effects of APPCAP on per capita carbon emission are supported at the regional and administrative levels. Finally, some specific policy implications are provided for achieving the “win-win” situation of energy saving, emission reduction, and economic development. Full article

Under the Air Pollution Prevention and Control Action Plan (APPCAP) implemented, China has witnessed an air quality change during the past five years, yet the main influence factors remain relatively unexplored. Taking the Beijing-Tianjin-Hebei (BTH) and Yangtze River Delta (YRD) regions as typical cluster cities, the Weather Research Forecasting (WRF) and Comprehensive Air Quality Model with Extension (CAMx) were introduced to demonstrate the meteorological and emission contribution and PM_2.5 flux distribution. The results showed that the PM_2.5 concentration in BTH and YRD significantly declined with a descend ratio of −39.6% and −28.1%, respectively. For the meteorological contribution, those regions had a similar tendency with unfavorable conditions in 2013–2015 (contribution concentration 1.6–3.8 μg/m³ and 1.1–3.6 μg/m³) and favorable in 2016 (contribution concentration −1.5 μg/m³ and −0.2 μg/m³). Further, the absolute value of the net flux’s intensity was positively correlated with the degree of the favorable/unfavorable weather conditions. When it came to emission intensity, the total net inflow flux increased, and the outflow flux decreased significantly across the border with the emission increasing. In short: the aforementioned results confirmed the effectiveness of the regional joint emission control and provided scientific support for the proposed effective joint control measures. Full article