Spatio-temporal characteristics and coupling coordination relationship between industrial green water efficiency and science and technology innovation: A case study in China

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111651 - 111651

Published: Feb. 1, 2024

To achieve the objective of high-quality development, an in-depth examination coupling coordination relationship between industrial green water and science technology (S&T) innovation is essential. This study takes Chinese 30 provincial regions as specific examples constructs improved three-stage SBM-DEA model entropy weight TOPSIS to assess efficiency level S&T during 2009–2021. Based on this, applied investigate degree innovation, well characteristics spatio-temporal distributions. Finally, we utilize a spatial autocorrelation reveal clustering two. The findings indicate that: (1) results evaluation show that development each province not balanced, performance eastern coastal region more prominent. (2) China's overall rising steadily moving from primary into good stage. Most provinces are in stages. Qinghai remains low stage throughout period. Jiangsu, Zhejiang, Shandong, Guangdong enter high (3) distribution two systems shows pattern east west, with positive spillover effect adjacency. high-high area exhibits tendency shift towards central region. paper provides scientific basis for analyzing differences innovation.

Language: Английский

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Impact of agricultural technological innovation on total-factor agricultural water usage efficiency: Evidence from 31 Chinese Provinces

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 299, P. 108905 - 108905

Published: May 31, 2024

The efficient management of water resources in Chinese agriculture is crucial for ensuring food security and mitigating environmental consequences such as scarcity pollution. Agricultural technological innovation optimizing agricultural practices making them more sustainable. To this end, study investigates the dynamic relationship between total-factor usage efficiency (TFAWUE) provinces from 2000 to 2020. utilizes Data Envelopment Analysis (DEA) Malmquist productivity index approach measure overall agriculture, known (TFAWUE). findings suggest that mean TFAWUE score 1.1356, surpassing a value 1. It illustrates witnessed growth 13.56 over period. Technological change primary determinant TFAWUE, technology (TC) higher than (EC). Subsequently, by employing rigorous econometrics series, provides valuable insights into intricate dynamics its impact on efficiency. constructs composite multidimensional development, encompassing various technologies pivotal sector. shows enable farmers implement conservation effectively enhance However, farm scale reduces usage. Additionally, sprinkler positively enhances agriculture. These provide policymakers sector, offering guidance sustainable policies managing conjunction with improvements technologies.

Language: Английский

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A Comparative Study of the Driving Factors of Water Resources Use Efficiency in China’s Agricultural and Industrial Sectors

Water, Journal Year: 2024, Volume and Issue: 16(3), P. 387 - 387

Published: Jan. 24, 2024

The efficient use of water resources has become an important topic in China. Research on measurement and driving factors is the foundation for improving efficiency (WRUE). In this paper, super-efficiency slacks-based measure (SE-SBM) model used to WRUE China from 2005 2021. agricultural carbon emissions chemical oxygen demand (COD) industrial wastes are taken as undesirable by-products. discussed with Tobit regression model. results show that China’s ranges 1.185 Jilin 0.687 Ningxia. sector, 1.399 Beijing Jiangxi 0.212. economic structure development level, endowment, government influence environmental regulation, planting scale urbanization rate have impacts WRUE. Precautionary measures need be applied prevent inefficient caused by declining share sector structure. More financial support should focused water-saving irrigation agriculture energy resource industry. organizational technological advantages also emphasized efforts improve efficiency.

Language: Английский

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Hydroclimatic extremes in arid and semi-arid regions: status, challenges, and future outlook

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: Jan. 1, 2024

Language: Английский

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River health assessment based on set pair analysis model in typical Northern Chinese City

Frontiers in Ecology and Evolution, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 8, 2025

Rivers are critical to ecological and societal sustainability, yet human activities like urbanization, industrialization, agricultural runoff increasingly threaten their health. This study investigates the health of six major rivers in Dalian City, China, focusing on relationships between aquatic biological communities environmental factors. A total 168 phytoplankton species, 110 zooplankton 102 macrozoobenthos species were identified. The key factors influencing these included pH, dissolved oxygen, ammonium nitrogen, phosphorus, altitude. Using an entropy-weighted set pair analysis model, spatial variations river ecosystem evaluated. Monitoring sites S12 S15 exhibited good conditions, while S4, S8, S17 rated as poor (Grade IV), S7 was severely polluted V). Other showed borderline III). research provides valuable insights for improving management biodiversity conservation offering a scientific basis addressing water quality challenges.

Language: Английский

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Industrial water consumption efficiency and driving factors based on the super-efficient SBM and Tobit approach

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 11, 2025

Water scarcity in arid regions is a significant factor constraining industrial development globally. Xinjiang, which has huge potential for economic development, constrained its local industry owing to the of water resources. Enhancing efficiency consumption thus crucial alleviate conflict between resource constrain and development. This study investigated zone northern slope Tianshan Mountains (EZNSTM) Xinjiang from 2001 2020. The super-efficient SBM Tobit model were used identify key drivers regional efficiency. Factors including government influence, structure, urbanization levels found affect overall On contrary, being open outside world natural endowment did not significantly impact paper identified disparities use across different EZNSTM elucidated primary factors influencing area, provided critical foundation coordinating future utilization.

Language: Английский

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Fostering Well-Being in Resettled Communities: Cultivating Cultural Resilience and Sustainable Development in Resettlement Caused by Ghazi Barotha Hydropower Project, Pakistan

Water, Journal Year: 2023, Volume and Issue: 15(22), P. 3973 - 3973

Published: Nov. 15, 2023

The construction of hydropower projects is increasingly prevalent worldwide, particularly in the context climate change mitigation. Community displacement resulting from these raises significant questions about post-resettlement welfare and satisfaction individuals subjected to project-associated relocation resettlement processes. Accordingly, purpose this research investigate influence physical resources, locational characteristics, area, health facilities, housing communication, socio-cultural environment on resettled people, along with two mediators: sustainable development cultural resilience project-affected communities Barotha Hydropower Project (GBHP) Pakistan. In cross-sectional study, data are collected 223 resettlers three villages (Barotha, Eassa, Feroze). researchers examined as mediating factors that play a role resettlers’ satisfaction. resource results indicate that, GBHPP, people unsatisfied, while other variables such both mediators, resilience, strengthen relationship between predictors criteria terms their value contribution Through analysis variables, study offers comprehensive understanding factors, which contribute resettlers. Additionally, seeks provide insights can inform strategies foster creation resilient prosperous communities. conclusions will also aid developing policies community initiatives support happiness wellbeing

Language: Английский

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Navigating Data Privacy in Industry 5.0: Advanced Strategies for Sustainability

Published: Jan. 1, 2024

Language: Английский

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Optimizing Water Management and Conservation Through IoT

Published: March 15, 2024

The Iota (internet of factors) is an emerging era that rapidly turning into a useful tool to aid in monitoring and retaining water sources. By means leveraging the energy sensor networks, clever gadgets, cloud computing, groups are capable now gain unheard degree insight usage, distribution, situation their systems. This superior understanding may be used higher tell choice-making, optimize allocation, discover traits usage styles, expecting call for, guide conservation tasks. technology, including smart irrigation structures, power green pumps, meters can help lessen wastage, increase performance urban supply allow for better control deliver demand water. Despite fact introduction such seen as luxurious enterprise, initial funding will offset with lengthy-term savings improved performance. by harnessing strength Iota-enabled control, corporations try make sure good enough, comfy, sustainable modern future generations internet things (Iota) has enabled optimization management conservation, supporting reduce waste improve efficiency our collective worldwide resources. With sensors track various signs measure display degrees waste, utilities industrial organizations efforts assist guard clean Smart technology leverage solutions reveal utilization, predict trends certain device operating nicely keep away from leaks. process allows progressed sources, well well-timed reaction issues implementation operational efficiencies. Additionally, measurements analytics provide actual-time records forecasting. Furthermore, cutting-edge technologies artificial intelligence block chain tracking statistics transparency lead stepped forward operations extra resources…

Language: Английский

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Addressing pollution challenges for enterprises under diverse extreme climate conditions: artificial intelligence-driven experience and policy support of top Chinese enterprises

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: Sept. 5, 2024

This study investigates the experiences of leading Chinese companies in environmental conservation under varying extreme climate conditions, focusing on role artificial intelligence (AI) and governmental assistance.

Language: Английский

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