Effect of cleaner residential heating policy on air pollution: A case study in Shandong Province, China

Weng, Zhixiong; Wang, Yue; Yang, Xuan; Cheng, Cuiyun; Xue, T.; Shi, Lei

doi:10.1016/j.jenvman.2022.114847

Cited by 18 publications

(6 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Chinese government has adopted a series of policies to combat severe air pollution. For example, scholars have investigated the effectiveness of the clean winter heating policy in China [ 33 , 36 ]. Some scholars estimated that the net treatment effect of the clean winter heating policy would alleviate 3.4 μg/m 3 of PM 2.5 concentrations, the reduction effect of which is close to the carbon trading observed in this study [ 37 ].…”

Section: Resultsmentioning

confidence: 99%

“…Although the DID model has obvious advantages in identifying the causal effect, it is sometimes uneasy to find a similar control group since the only difference between the treated and control groups should be exposed to the policy intervention. Compared with other methods, the advantage of the DID model is more evident and it can estimate the effect of a specific intervention or treatment by comparing changes in outcomes over time [ 33 ]. Therefore, we set the DID specifications as follows:

where

is the prefecture-level city and includes both those implementing and those not implementing the carbon trading policy in China;

is the year variable ranging from 2007 to 2018;

is the dependent variable of the PM 2.5 concentration;

is an interaction term that multiplies

with

, where

is an indicator variable that implies whether or not a city implements the carbon trading policy;

is a year dummy variable indicating that the

will be 1 during the carbon trading policy period, otherwise it will be 0; lastly,

is a series of control variables that may affect the PM 2.5 concentration, including the population, proportion of secondary industrial added values, share of green land areas, number of industrial firms, per capita GDP, foreign direct investment, annual shine hours, annual average temperature, and annual precipitation.…”

Section: Methodology and Datamentioning

confidence: 99%

See 1 more Smart Citation

Reduction Effect of Carbon Emission Trading Policy in Decreasing PM2.5 Concentrations in China

Weng

Cheng

Xie

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

Carbon emissions trading is a market-based tool for solving environmental issues. This study used a difference-in-differences (DID) approach to estimate China’s carbon trading pilots to reduce PM2.5 concentrations. The results of this quasi-natural experiment show that the carbon trading policy effectively reduces PM2.5 by 2.7 μg/m3. We used a propensity score matching (PSM-DID) method to minimize selection bias to construct a treatment and a control group. The results show the policy effect is robust, with a PM2.5 concentration reduction of 2.6 μg/m3. Furthermore, we employed a series of robustness checks to support our findings, which notably indicate that the effect of carbon trading on reducing PM2.5 differs across regions over the years. The western region of China tends to be the most easily affected region, and the early years of carbon trading show slightly greater reduction effects. Our findings provide valuable policy implications for establishing and promoting carbon trading in China and other countries.

show abstract

Section: Resultsmentioning

confidence: 99%

where

is the prefecture-level city and includes both those implementing and those not implementing the carbon trading policy in China;

is the year variable ranging from 2007 to 2018;

is the dependent variable of the PM 2.5 concentration;

is an interaction term that multiplies

with

, where

is an indicator variable that implies whether or not a city implements the carbon trading policy;

is a year dummy variable indicating that the

will be 1 during the carbon trading policy period, otherwise it will be 0; lastly,

Section: Methodology and Datamentioning

confidence: 99%

Reduction Effect of Carbon Emission Trading Policy in Decreasing PM2.5 Concentrations in China

Weng

Cheng

Xie

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

“…The advantage of this approach is that it can estimate the effect of a specific intervention or treatment by comparing changes in outcomes over time. Many scholars used the DID method to investigate China's clean winter heating policy (Weng et al, 2021;Weng et al, 2022) and air pollution control policy (He et al, 2020;Zhang et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

Reduction effect of carbon markets: A case study of the Beijing-Tianjin-Hebei region of China

Weng

Liu²,

Cheng³

2022

Front. Environ. Sci.

Self Cite

View full text Add to dashboard Cite

The carbon market is a crucial market-oriented tool in achieving carbon neutrality and has been adopted by many countries and regions. China has established a policy system covering eight carbon trading pilots since 2013 and has implemented effective practices. Despite the evaluation of the carbon markets at the national level, few studies identified the carbon emission reduction effect for a specific region or assessed the differentiated characteristics that may significantly impact the development of the carbon market. This study took the Beijing-Tianjin-Hebei (BTH) region as the research sample and aimed to estimate the carbon emission reduction effect of the carbon market by using a difference-in-differences approach. Our findings suggested that the carbon market in the BTH region effectively reduced its carbon intensity by 14.04%. Our estimations were robust after using a winsorization panel or establishing a new control group. Furthermore, the results also indicated that the carbon market’s effect on reducing carbon intensity differs across cities and shows an increasing trend yearly. Relevant recommendations for promoting carbon trading policies were proposed.

show abstract

“…It is reported that rural households consumed approximately 110 million tons of raw coal in 2018 in China [10]. As a major proportion of rural households in China require heating during winter, the abundant use of scattered coal poses serious threats on air quality, public health and climate change [11]. Moreover, centralized heating is usually not applicable for rural areas in Northen China, as the households are commonly scattered.…”

Section: Introductionmentioning

confidence: 99%

A Unified Design Method for Multi-Source Complementary Heating Systems Based on a Transient Simulation

Zhang,

Guo,

et al. 2024

Electronics

View full text Add to dashboard Cite

Combining various sources to create a complementary system plays a key role in utilizing clean energy sources economically and mitigating air pollution during the heating season in Northern China. However, there is a lack of unified and reasonable design methods for such systems, resulting in the excessive capacity of equipment and the waste of energy. In this work, a unified design method is proposed to solve this problem. A generalized structure and its mathematical model are firstly established, enabling transient simulations on the TRNSYS platform. Then, a preliminary screening criterion for the system composition a general operation strategy is proposed. Finally, the system configuration is optimized by using the genetic algorithm. The method is successfully applied in a demonstration project in China. The results show that the coupling system consisting of a biomass boiler (384 kW), an air-source heat pump (430 kW) and a ground-source heat pump (369 kW) is the most economical, and the annual cost is 26.7% lower than that of a single-equipment system. Additionally, the sensitive factors that strongly affect the optimization results are explored. The establishment of the generalized structure and its mathematical model enables the quick calculation and convenient comparison of various schemes, and simplifies the complicated optimization problem of the capacity optimization of each piece of equipment. The proposed design method can reduce the annual cost to a minimum value, and thus it provides a theoretical basis for the large-scale application of clean energy sources for heating.

show abstract

Effect of cleaner residential heating policy on air pollution: A case study in Shandong Province, China

Cited by 18 publications

References 52 publications

Reduction Effect of Carbon Emission Trading Policy in Decreasing PM2.5 Concentrations in China

Reduction Effect of Carbon Emission Trading Policy in Decreasing PM2.5 Concentrations in China

Reduction effect of carbon markets: A case study of the Beijing-Tianjin-Hebei region of China

A Unified Design Method for Multi-Source Complementary Heating Systems Based on a Transient Simulation

Contact Info

Product

Resources

About