The energy resources are rich, and the ecological environment is fragile in Gansu-Qinghai regions, which are facing problems in the coordinated development of green as well as low carbon transformation and high-quality economy. Based on the reality of Gansu-Qinghai regions, this study deeply analyzed the characteristics of regional carbon emissions; constructed the system dynamics model between carbon emissions and population, economy, energy, and policy; clarified the relationship between them; and probed into the future green development path. The results showed that: ① In recent years, the total and per capita carbon emissions in Gansu-Qinghai regions have been on the rise.
View Article and Find Full Text PDFAs the world's largest carbon emitter of food systems, China's goal of carbon neutrality cannot be achieved without addressing the issue of food GHGs. Given the knowledge gap in subnational spatiotemporal research on China's food carbon emissions, especially drivers of regional heterogeneity and the urban‒rural divide, this study uses the household metabolism approach, the gray correlation, and logarithmic mean Divisia index decomposition to assess food-related carbon emissions (FCEs) in China, conducts urban‒rural comparisons and quantifies emission drivers across 31 provinces/regions from 1990 to 2022. The data are sourced from authentic and credible government departments.
View Article and Find Full Text PDFInt J Environ Res Public Health
September 2022
The Yellow River Basin (YRB) is an important economic zone and ecological barrier in China. The analysis of its research characteristics and hotspots has been helpful to grasping the future research direction. This work carried out text mining and analysis on scientific papers related to eco-environment research in the YRB from English and Chinese publications.
View Article and Find Full Text PDFThe household sector has become the second-largest source of energy consumption and CO emissions in China. It is important to understand the trends and changing mechanisms of household energy-related CO emissions (HECEs) in different social stages for mitigating the impact of climate change. However, the existing trends in HECEs and whether they are congruent with the expectation that HECEs in later developed areas are lower than those in priority areas under the same economic level are unclear.
View Article and Find Full Text PDFChina is a world leader on agriculture production; with only 8% of global cropland it feeds 20% of the world's population. However, the increasing production capacity comes with the cost of greenhouse gas (GHG) emissions. As a populous country with the highest GHG emissions in the world, determining how to achieve the dual goals of mitigating climate change and ensuring food security is of great significance for the agricultural sector.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
April 2021
Rapid and large scale construction activities consume significant resources and make impacts on the environment. To support policy for emission reduction and route of low-carbon society development, this paper estimated building stocks and building embodied carbon emissions (BECEs) in China's 31 provinces from 1997 to 2016 by material flow analysis (MFA). Furthermore, global and local Moran's indices were employed to investigate the geographical clustering patterns, and temporal and spatial decomposition models were proposed to identify the driving forces.
View Article and Find Full Text PDFInt J Environ Res Public Health
September 2020
The household sector, which plays a critical role in emission reduction, is a main source of greenhouse gas (GHG) emissions. Although numerous academic journals have published papers on household CO emissions (HCEs), great challenges remain in research on assessments, determinants, and further research prospects. This work reviews and projects HCEs using a bibliometric analysis and a systematic review based on the data from the Web of Science (WOS) platform from 1991 to 2020.
View Article and Find Full Text PDFInt J Environ Res Public Health
May 2020
Many studies have reported that air pollution, especially fine particulate matter (PM), has a significant impact on health and causes economic loss. Gansu Province is in the northwest of China, which is a typical economically underdeveloped area. However, few studies have evaluated the economic loss of PM related to health effects in this province.
View Article and Find Full Text PDFPatent data present a number of advantages compared to other alternative measures of innovation. This paper presents research on the use of environmentally relevant technology patent data using a comprehensive analysis method to analyze the development of green technology innovation in China in 1990-2015. From the analysis, it can be concluded that during the period of 2000-2015, China's environmental-related technology innovation made great progress and was at the forefront of green technology growth; in particular, the areas of water and wastewater treatment, solar photovoltaic (PV) energy, lighting, improvements related to bulk or fine chemicals or pharmaceuticals, electric vehicles, and other technologies made great achievements.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
October 2016
China contributes 23 % of global carbon emissions, of which 26 % originate from the household sector. Due to vast variations in both climatic conditions and the affordability and accessibility of fuels, household carbon emissions (HCEs) differ significantly across China. This study compares HCEs (per person) from urban and rural regions in northern China with their counterparts in southern China.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
April 2016
Given the large expenditures by households on goods and services that contribute a large proportion of global CO2 emissions, increasing attention has been paid to household CO2 emissions (HCEs). However, compared with industrial CO2 emissions, efforts devoted to mitigating HCEs are relatively small. A good understanding of the effects of some driving factors (i.
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