Towards Ecological-Economic Integrity in the Jing-Jin-Ji Regional Development in China

Li, Suxiao; Yang, Hong; Liu, Junguo; Lei, Guangchun

doi:10.3390/w10111653

Cited by 11 publications

(4 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This also facilitates connection with IO tables) [File 'China city-level subsector water withdrawal inventory, 2015']; (2) one is city-level total water withdrawal and criticality ratio inventory [File 'China city-level total water withdrawal and water-scarcity ratio inventory, 2015']; (3) Average water withdrawal per industrial GDP at city level was 50 m 3 per US$10 3 . From a global perspective this still have a gap compared with the worldwide countries with first-class water use efficiencies averaging 33 m 3 per US$10 3 [64][65][66] . At the city level, industrial water withdrawal accounted for a mean average of 24% in overall production water-use.…”

Section: Data Recordsmentioning

confidence: 99%

City level water withdrawal and scarcity accounts of China

Zhang,

Shan,

Zhao

et al. 2024

Sci Data

Self Cite

View full text Add to dashboard Cite

In the context of China’s freshwater crisis high-resolution data are critical for sustainable water management and economic growth. Yet there is a dearth of data on water withdrawal and scarcity regardless of whether total or subsector amount, for prefectural cities. In administrative and territorial scope, we accounted for water withdrawal of all 63 economic-socio-environmental sectors for all 343 prefectural cities in China, based on a general framework and 2015 data. Spatial and economic-sector resolution is improved compared with previous studies by partitioning general sectors into industrial and agricultural sub-sectors. Construction of these datasets was based on selection of 16 driving forces. We connected a size indicator with corresponding water-withdrawal efficiency. We further accounted for total blue-water withdrawal and quantitative water scarcity status. Then we compared different scopes and methods of official accounts and statistics from various water datasets. These disaggregated and complete data could be used in input-output models for municipal design and governmental planning to help gain in-depth insights into subsector water-saving priorities from local economic activities.

show abstract

Section: Data Recordsmentioning

confidence: 99%

City level water withdrawal and scarcity accounts of China

Zhang,

Shan,

Zhao

et al. 2024

Sci Data

Self Cite

View full text Add to dashboard Cite

show abstract

“…The IMED/HEL model examines the correlation between PM 2.5 pollution and health consequences in a nation. The influence of a pollutant on health damage is referred to as end point, which investigates the 300 relative hazards of PM 2.5 pollution and excess mortality (Li et al 2018;Peng et al 2018). The model was calculated as follows:…”

Section: The Imed/hel Modelmentioning

confidence: 99%

Access to sustainable healthcare infrastructure: a review of industrial emissions, coal fires, and particulate matter

Imran

Khan

Nassani

et al. 2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

Environmental health is critical for the economy’s social welfare and environmental sustainability. Using time series data from 1975 to 2020, the research examines the short- and long-run relationship between environmental pollutants and healthcare costs in the context of Pakistan. The study’s results reveal that short-term and long-term efforts towards cleaner development in terms of carbon emissions, coal combustion, nitrous oxide (N 2 O) emissions, and industrial value-added have resulted in significant reductions in healthcare expenses due to improved management of industrial emissions. However, in the long run, particulate matter (PM 2.5 ) has a detrimental effect on a country’s sustainable healthcare agenda, leading to increased healthcare costs. Furthermore, the increased use of coal-fired power plants that release polycyclic aromatic hydrocarbons (PAH) and revenue generated by contaminated production lead to higher out-of-pocket healthcare costs, increasing a country’s risk of morbidity and mortality. The study’s Granger causality estimations demonstrate that carbon emissions are responsible for emissions-driven healthcare expenses in a nation. Additionally, economic growth leads to increased carbon emissions and industrial toxins, which are also emission-led. Through variance decomposition analysis (VDA), the study finds that carbon emissions have the highest variance shock of 32.702% on healthcare expenditures in the next ten years. This is followed by polluted income and continued economic growth, which have a variance shock of 13.243% and 8.858%, respectively, over the same period. The findings indicate that the maximum healthcare benefits may be acquired by mitigating environmental pollutants via stringent environmental regulations, reducing industrial toxins through solid waste management techniques, and minimizing coal combustion reliance through renewable fuels. Environmental research is still required to provide more sustainable solutions to the sustainability of the global healthcare agenda.

show abstract

“…These factors include natural and human factors such as land use, urbanization, and environmental management [4]. With the in-depth research on the value of ecosystem services, scholars at home and abroad began to study the relevant influencing factors and their interactions [5,6].…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Analysis of Influencing Factors of Ecosystem Service Value Change in Xinjiang under Different Land Use Types

Wang

Shataer

Zhang

et al. 2022

Water

View full text Add to dashboard Cite

Based on the data on land-use change in Xinjiang from 1990 to 2020, this study uses a combination of land-use dynamics, the equivalence factor method, the sensitivity index, and a spatial correlation study to quantitatively analyze the spatial and temporal distribution of land-use change and ecosystem service values in the study area from 1990 to 2020. We also use a geographic probe model to explore the driving mechanism of the spatial variation of ecosystem service values in Xinjiang. The following conclusions were drawn: (1) land use in the Xinjiang region from 1990 to 2020 shows a more drastic change, with the main characteristics being an increase in the area of arable land and construction land, and a decrease in the area of forest and grassland, water, and unused land; and (2) with the change in the land-use types, the total value of the ESV in the Xinjiang region from 1990 to 2020 showed an increasing and then decreasing trend, with an average annual contribution value of about 13,730.33 × 108 yuan and a cumulative loss of about 1741.00 × 108 yuan in the last 30a. The value of each individual ecosystem service was dominated by functions such as waste treatment and water connotation. Based on the analysis of the geographic probe model, we found that the single factor influence degree of the ESV was HAI > NDVI > precipitation > GDP > temperature > elevation > population density > slope, and the overall ecosystem service value in the Xinjiang region showed a decreasing trend due to the interaction coefficients of natural factors and socio-economic factors.

show abstract

Towards Ecological-Economic Integrity in the Jing-Jin-Ji Regional Development in China

Cited by 11 publications

References 45 publications

City level water withdrawal and scarcity accounts of China

City level water withdrawal and scarcity accounts of China

Access to sustainable healthcare infrastructure: a review of industrial emissions, coal fires, and particulate matter

Evaluation and Analysis of Influencing Factors of Ecosystem Service Value Change in Xinjiang under Different Land Use Types

Contact Info

Product

Resources

About