Regional Differences in PM2.5 Environmental Efficiency and Its Driving Mechanism in Zhejiang Province, China DOI Creative Commons
Xuejuan Fang, Gao Bing, Shenghui Cui

и другие.

Atmosphere, Год журнала: 2023, Номер 14(4), С. 672 - 672

Опубликована: Апрель 1, 2023

Improving the digital economy and environmental governance efficiency are important methods for current high-quality economic development. Based on panel data of 11 cities in Zhejiang, eastern coast China, fine particulate matter smaller than a 2.5 μm (PM2.5) (PMEE) was measured by undesirable output Slack-Based Measure-Data Envelopment Analysis (SBM-DEA) model. The fixed effect regression model, divergences difference model other empirical were obtained to test driving mechanism social-economic factors PMEE. results showed that: (1) concentration PM2.5 continually decreasing, quality experienced continuous improvement Zhejiang province observation period, although such as Hangzhou, Jiaxing Shaoxing have relatively severe pollution. (2) total average value PMEE 0.6430 over while there still lot room when compared production frontier. Additionally, each city fluctuating growth trend. Cities with higher mainly Zhoushan, Hangzhou Ningbo. (3) level had positive role promoting PMEE, which statistically significant. pollution control technological innovation also significantly effect. However, ratio industrial gross domestic product (GDP) presented negative In future, it is suggested that development urban should be accelerated an all-around way improve government technical via innovative progress.

Язык: Английский

Research on the coordinated relationship between human activities and ecosystem service value in the Arid Region, Northwestern China DOI Creative Commons
Shiyao Liu,

Zhijian Gao,

Wanghai Tao

и другие.

Frontiers in Ecology and Evolution, Год журнала: 2024, Номер 11

Опубликована: Янв. 9, 2024

Introduction Arid and semi-arid regions encompass nearly 40% of the Earth’s land surface are characterized by extensive undeveloped land, scarce water resources, fragile ecosystems. The arid northwestern China is a representative region. It has developed rapidly in recent years, leading to significant increase human activity. This increased activity had pronounced impact on ecosystem, posing major challenge environment. close relationship between activities ecosystem service value (ESV) crucial for healthy development both humans However, intricate nature this degree which they codependent remain unclear require further investigation. Methods study investigates use intensity (LUI) urbanization (URB). comprehensively evaluates spatial temporal distribution ESV, quantifying their coordination through coupling models. Results work provides valuable insights theoretical support promoting coordinated ESV. Overall, LUI region decreased (from 0.485 2000 0.459 2020), while URB 0.060 0.087 2020). ESV significantly increased, with total growth 556.58 billion yuan. In prefecture-level cities, values ranges from 75.19 yuan/hm2 10,062.49 yuan/hm2.The changed over time, transitioning uncoordinated development. addition, evolved transitional coordination. level provincial capital cities influences surrounding cities. Discussion conclusion, effective recommendations provided based LUI, different along proposed strategy functions that aligns 14th Five-Year Plan “Vision 2035” each province. important into its findings can be used guide sustainable urban

Язык: Английский

Процитировано

5
Contributors to the carbon emissions of metropolises at different development levels DOI Creative Commons
Han Jiang, Shan Jiang,

Buda Su

и другие.

Energy Sustainable Development/Energy for sustainable development, Год журнала: 2025, Номер 87, С. 101736 - 101736

Опубликована: Май 11, 2025

Язык: Английский

Процитировано

0
Exploring the spatiotemporal patterns of county-scale PM2.5 drivers in Shandong Province from 2000 to 2020 DOI Creative Commons
Dongchao Wang, Xichun Li,

Xinrong Duan

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(10), С. e0310190 - e0310190

Опубликована: Окт. 3, 2024

In the rapid development of air pollution over past two decades in Shandong Province, it has played a detrimental role, causing severe damage to regional ecological security and public health. There been little research at county scale explore spatiotemporal causes heterogeneity PM2.5 pollution. This study utilizes Geographically Temporally Weighted Regression Model (GTWR) environmentally model meteorological elements socioeconomic conditions Province from 2000 2020, aiming identify key driving factors concentration changes across 136 counties. The results show that peaked 2013, followed by decline levels. Geographically, counties western plains generally exhibit higher levels, while most central hills Jiaodong Peninsula are low areas. Strong winds positively influence quality southeast Shandong; high temperatures can ameliorate areas outside southeast, whereas pressure exhibits opposite effect. Precipitation shows significant negative correlation Laizhou Bay regions, relative humidity primarily exerts effect coastal impact fractional vegetation cover is relatively mild, with positive effects observed southern other regions. Population density Shandong. Economic predominantly relationships, particularly northwest Peninsula. Electricity consumption correlates positively, industrial province-wide. demonstrates heterogeneity, aligning governmental expectations for effectiveness control measures. conclusions this be utilized assess efficiency abatement level provide quantitative data support revision emission reduction policies.

Язык: Английский

Процитировано

2
Exploring the spatial effects and influencing mechanism of ozone concentration in the Yangtze River Delta urban agglomerations of China DOI
Lei Ding, Lihong Wang,

Xuejuan Fang

и другие.

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(7)

Опубликована: Июнь 8, 2024

Процитировано

1
Scientometric and multidimensional contents analysis of PM2.5 concentration prediction DOI Creative Commons
Jintao Gong, Lei Ding,

Yingyu Lu

и другие.

Heliyon, Год журнала: 2023, Номер 9(3), С. e14526 - e14526

Опубликована: Март 1, 2023

The foundation for the environmental department to take suitable measures and make a significant contribution towards improving air quality is precise dependable prediction of PM2.5 concentration. It essential review development process hotspots concentration studies over past 20 years (2000–2021) comprehensively quantitatively. This study used detailed bibliometric methods CiteSpace software visually analyze pollution level. outcomes found that research phases can be broadly divided into three enter rapid growth phase after 2017. Five categories keywords are clustered, forecasting data typical cluster representatives. Then, construction processing datasets, technical processes, determination spatial-temporal scales main content analysis. In future, it necessary concentrate on multi-source fusion at multiple focus technology integration innovative applications in models, especially optimal use deep machine learning improve accuracy practical application conversion.

Язык: Английский

Процитировано

2
Regional Differences in PM2.5 Environmental Efficiency and Its Driving Mechanism in Zhejiang Province, China DOI Creative Commons
Xuejuan Fang, Gao Bing, Shenghui Cui

и другие.

Atmosphere, Год журнала: 2023, Номер 14(4), С. 672 - 672

Опубликована: Апрель 1, 2023

Improving the digital economy and environmental governance efficiency are important methods for current high-quality economic development. Based on panel data of 11 cities in Zhejiang, eastern coast China, fine particulate matter smaller than a 2.5 μm (PM2.5) (PMEE) was measured by undesirable output Slack-Based Measure-Data Envelopment Analysis (SBM-DEA) model. The fixed effect regression model, divergences difference model other empirical were obtained to test driving mechanism social-economic factors PMEE. results showed that: (1) concentration PM2.5 continually decreasing, quality experienced continuous improvement Zhejiang province observation period, although such as Hangzhou, Jiaxing Shaoxing have relatively severe pollution. (2) total average value PMEE 0.6430 over while there still lot room when compared production frontier. Additionally, each city fluctuating growth trend. Cities with higher mainly Zhoushan, Hangzhou Ningbo. (3) level had positive role promoting PMEE, which statistically significant. pollution control technological innovation also significantly effect. However, ratio industrial gross domestic product (GDP) presented negative In future, it is suggested that development urban should be accelerated an all-around way improve government technical via innovative progress.

Язык: Английский

Процитировано

1