Determinants of carbon emission: A multiple scale decomposition of Gansu Province DOI Creative Commons
Yanan Wang, Jingxin Xie, Liwen Fu

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(9), С. e0309467 - e0309467

Опубликована: Сен. 6, 2024

China, being the largest contributor to total carbon emissions, still has a long way go in energy conservation and emission reduction. Employing structural decomposition analysis (SDA) method using input-output table data, this study examines evolution of emissions resulting from consumption Gansu Province China over period 2007 2017. By exploring driving factors identifying key final demand sectors for province can formulate more effective reduction policies that balance economic development control. The findings are as follows: 1) Regarding factors, both intensity effect sector structure emerge main contributors Conversely, predominantly led increase. 2) In terms each demand, urban residents’ consumption, rural outflow represent primary categories contributing increased emissions. 3) experiencing most significant decline Electricity, Heat Production Supply Industry, while Metal Smelting Rolling Processing Industry well Construction increasing Consequently, achieve neutrality goal, governments should consider all these propose mitigation light local realities.

Язык: Английский

Water scarcity risk through trade of the Yellow River Basin in China DOI Creative Commons

Wei Jing-xue,

Yalin Lei, Lingna Liu

и другие.

Ecological Indicators, Год журнала: 2023, Номер 154, С. 110893 - 110893

Опубликована: Сен. 7, 2023

Water scarcity poses economic risks and affects the quality of national regional development. The risk local water can be conveyed to downstream economies through interregional trade for potential losses. However, most previous studies focused on availability adequate freshwater supplies, ignoring losses associated with inadequate quality. With aggravation pollution, caused by is exacerbated. This study incorporates quantity into assessments, revealing virtual transmission pathways cities sectors in Yellow River Basin (YRB) China. results show that number severe stress increases from 13 53 when considered. Virtual transfer upstream Henan Shandong Provinces, high-risk identified considering Key intersectoral are identified. validates significance factors assessments provides a perspective policy decisions mitigate thus ensure security YRB.

Язык: Английский

Процитировано

20
Bibliometric Evaluation of Energy Efficiency in Agriculture DOI Creative Commons
Andrea Benedek, Tomasz Rokicki, András Szeberényi

и другие.

Energies, Год журнала: 2023, Номер 16(16), С. 5942 - 5942

Опубликована: Авг. 11, 2023

In recent years, the importance of energy efficiency in agricultural sector has become increasingly apparent. As world faces challenges such as climate change, resource scarcity, and population growth, need for sustainable efficient practices intensified. Energy plays a crucial role production, from powering machinery irrigation systems to processing transportation. Therefore, understanding scientific advancements collaborative efforts field agriculture is essential devising effective strategies, promoting innovation, achieving global sustainability goals. The aim this study provide insight into comprehensive overview publications on examine its productivity. paper explores research areas trending topics within field, well extent collaboration among authors, institutions, countries involved domain. This investigation order address current shocks numerous problems they generate, highlighting holistic approach multiple regions work together. Only by offering rapid viable solutions can we effectively overcome situation.

Язык: Английский

Процитировано

19
Optimal water resource allocation considering virtual water trade in the Yellow River Basin DOI Creative Commons
Hao Wang, Tao Ma

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 2, 2024

Abstract Water can be redistributed physically and virtually. We explored water allocation optimization to mitigate stresses by constructing a physical–virtual dual system optimizing the 1987 Yellow River scheme. calculated virtual volume, identified in-basin, out-of-basin, export volumes, compared total regional demand (i.e., combined physical volumes) with planetary boundaries optimize basin schemes. Virtual accounted for > 90% of demands, whereas flows did not significantly impact them. Moreover, quotas Qinghai Inner Mongolia should reduced 0.113 1.005 billion m 3 , respectively, sustainability. Furthermore, improving efficiency water-intensive sectors limiting outflows from heavy industry out-of-basin are vital intensification. Increased attention directed toward demands than current focus on supply-oriented allocation.

Язык: Английский

Процитировано

7
Social-Hydrological Dynamics along the Yellow River Belt: A Temporal-Spatial Investigation of Regional Groundwater Use in a Source-to-Sink Manner DOI

Xintong Niu,

Jingyu Liu,

Yinmao Zhao

и другие.

Environmental Management, Год журнала: 2025, Номер unknown

Опубликована: Март 21, 2025

Язык: Английский

Процитировано

0
Water system sustainability of China’s Yellow River Basin: A Refactoring and integrated evaluation based on the sustainable development Goal 6 DOI Creative Commons
X. L. Guan, Zihua Liu,

Yang Guan

и другие.

Ecological Indicators, Год журнала: 2025, Номер 173, С. 113396 - 113396

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Exploring Future Pathways of Sectoral Water Use in Canada at a Subnational Scale Using Gcam-Canada DOI
Osama Younis, Evan Davies,

Diego V. Chiappori

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
What drives water conservation in the supply chain of the Yellow River Basin? An empirical analysis based on SPD DOI Creative Commons
Yanhua Shi, Shanshan Fan, Qianqian Xiao

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(8), С. e0306519 - e0306519

Опубликована: Авг. 1, 2024

Industrial water saving is an objective requirement for the high-quality development of Yellow River Basin, as resource largest rigid constraint. In this study, resources input-output model, structural decomposition analysis (SDA) and path (SPA) were constructed to decompose driving factors total use in typical water-deficient provinces (Ningxia, Shanxi, Henan) China’s calculate their at each production stage identify key water-saving pathways. The results follows: (i) Water intensity had most obvious impact on saving, resulting efficiency improvements 81.39%, 9.21%, 78.45% province, respectively. next factor was final demand structure, which suppressed efforts by 24.23%, 11.52%, 113.12% respective provinces. (ii) paths Basin primarily centered around Sector 1. (iii) a strong effect three provinces, with contribution rates 100.42%, 59.02%, 42.34% Ningxia, Henan, Final also contributed Shanxi 35.06% 28.23%, However, it inhibited reducing 8.64%. Policy measures should be tailored local conditions.

Язык: Английский

Процитировано

1
Spatial correlations and risk transmission of virtual water flow at city scale: A case study of the Yellow River Basin DOI Creative Commons
Jingjing Yang, Zhong Ma, Weijing Ma

и другие.

Geography and sustainability, Год журнала: 2024, Номер unknown

Опубликована: Сен. 1, 2024

By introducing virtual water (VW) flow correlation coefficients and risk indicators, this study examines the VW transmission relationship between urban agglomerations cities in Yellow River Basin (YRB) its impact on regional resources pressure. The results show that: except for Shandong Peninsula Urban Agglomeration (SPUA) Central Plains (CPUA), other primarily act as exporting regions, while water-importing are concentrated eastern regions. Notably, Ningxia (NUA) demonstrates significantly higher values sensitivity than remaining six agglomerations. First-tier generally display lower coefficients, whereas emerging exhibit opposite trend. Additionally, we observe uneven variations importing Taking NUA an example, increase resulting from exports exceeds reduction associated with imports corresponding It's important to highlight that first-tier consistently decrease resource through both years. However, among second third-tier cities, only 38.9% experience reduced imports. Therefore, recommend a focused examination of western region agglomerations, within watershed. Leveraging water's asymmetric high-value transfer can alleviate pressure scarcity risks high-pressure regions by shifting them lower-pressure thus mitigating stress across

Язык: Английский

Процитировано

1
Determinants of carbon emission: A multiple scale decomposition of Gansu Province DOI Creative Commons
Yanan Wang, Jingxin Xie, Liwen Fu

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(9), С. e0309467 - e0309467

Опубликована: Сен. 6, 2024

China, being the largest contributor to total carbon emissions, still has a long way go in energy conservation and emission reduction. Employing structural decomposition analysis (SDA) method using input-output table data, this study examines evolution of emissions resulting from consumption Gansu Province China over period 2007 2017. By exploring driving factors identifying key final demand sectors for province can formulate more effective reduction policies that balance economic development control. The findings are as follows: 1) Regarding factors, both intensity effect sector structure emerge main contributors Conversely, predominantly led increase. 2) In terms each demand, urban residents’ consumption, rural outflow represent primary categories contributing increased emissions. 3) experiencing most significant decline Electricity, Heat Production Supply Industry, while Metal Smelting Rolling Processing Industry well Construction increasing Consequently, achieve neutrality goal, governments should consider all these propose mitigation light local realities.

Язык: Английский

Процитировано

0