An empirical investigation of the underlying factors of recently declining air pollution in China

This study analyses the underlying factors of recently declining air pollution in China, utilizing annual time series data from 2000 to 2020 in the autoregressive distributed lag model approach framework. In the empirical setting, air pollution is represented by particulate matter (2.5) concentrations, known as the most detrimental ambient pollutant, and the empirical model includes several socioeconomic potential determinants of air pollution. The main motivation behind this study was the downward trend in air pollution in China as of the second decade of the 2000s. Although it is commonly accepted that the Air Pollution Prevention and Control Action Plan implemented by the Chinese State Council has been effective, the underlying factors of declining air pollution aren’t clear. Based on this motivation, the study revealed the positive impacts of economic growth, industrialization, and foreign direct investment inflows on air pollution. At the same time, medium- and high-tech exports and coal rents are negatively associated with air pollution. In this respect, the overall results particularly emphasize the declining impact of an increase in medium- and high-tech exports on air pollution. In this context, to improve air quality further, the study suggests that China should transform its industrialization structure toward specialization in medium- and high-tech products and promote foreign direct investment inflows specialized in these products. This study provides additional policy recommendations for Chinese policymakers.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-11-22
DOI
https://doi.org/10.6092/issn.2281-4485/20739
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An empirical investigation of the underlying factors of recently declining air pollution in China

SHILAP Revista de lepidopterología
Energy, Environment, Economic Growth
article

An empirical investigation of the underlying factors of recently declining air pollution in China

article en

Abstract

This study analyses the underlying factors of recently declining air pollution in China, utilizing annual time series data from 2000 to 2020 in the autoregressive distributed lag model approach framework. In the empirical setting, air pollution is represented by particulate matter (2.5) concentrations, known as the most detrimental ambient pollutant, and the empirical model includes several socioeconomic potential determinants of air pollution. The main motivation behind this study was the downward trend in air pollution in China as of the second decade of the 2000s. Although it is commonly accepted that the Air Pollution Prevention and Control Action Plan implemented by the Chinese State Council has been effective, the underlying factors of declining air pollution aren’t clear. Based on this motivation, the study revealed the positive impacts of economic growth, industrialization, and foreign direct investment inflows on air pollution. At the same time, medium- and high-tech exports and coal rents are negatively associated with air pollution. In this respect, the overall results particularly emphasize the declining impact of an increase in medium- and high-tech exports on air pollution. In this context, to improve air quality further, the study suggests that China should transform its industrialization structure toward specialization in medium- and high-tech products and promote foreign direct investment inflows specialized in these products. This study provides additional policy recommendations for Chinese policymakers.

SHILAP Revista de lepidopterología
Istanbul Aydın University (TR), Bartin University (TR)
Openalex Percentile: Top 49%
Energy, Environment, Economic Growth
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.