Article
Economics
Mohd Norazmi Nodin, Zainol Mustafa, Saiful Izzuan Hussain
Summary: This study assesses the eco-efficiency performance of Malaysian rice self-sufficiency (RSS) and finds that it has deteriorated at the national level, although the developed areas show higher efficiency scores. The evaluation using the Malmquist-Luenberger (ML) index also indicates a general deterioration at the national and regional level. The future improvement of the RSS approach can be achieved through the empowerment of good agricultural practices, modernizing infrastructure, and efficient agrochemical usage.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Article
Green & Sustainable Science & Technology
Huan Yang, Xiaoxuan Wang, Peng Bin
Summary: This study investigates the dynamics of agricultural carbon emissions (ACE) and agricultural ecoefficiency (AEE) in China, as well as the driving factors of AEE growth. Using provincial data from 2001 to 2018, the study finds that ACE has shifted from increasing to continuously decreasing after 2015, mainly driven by major grain-producing areas. It also reveals that the AEE growth mechanism changed after 2010, primarily due to technological progress. The improvement of agricultural infrastructure and human capital positively contribute to AEE growth, while public investment in agricultural R&D and agricultural industrial structure undermine it. Therefore, green-oriented policies and targeted agricultural public investments are needed to achieve both ACE reduction and AEE growth.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Elif E. Demiral, Umit Saglam
Summary: The study found that 32 states in the US operate efficiently in terms of eco-efficiency, with 5 states performing at the most optimal scale, 17 states having considerable potential for boosting their productive efficiencies, and 28 states being overinvested in input variables. The non-radial DEA models show that the states' capital efficiency is very high, while energy and emission efficiencies are very low. The states' ecoproductivity is relatively higher than the eco-efficiency levels.
Article
Environmental Sciences
Mustapha D. Ibrahim
Summary: The relationship between innovation, human capital, economics, and the environment is crucial for sustainable development. The Middle East and North Africa (MENA) is an emerging market with the potential to achieve economic and environmental sustainability. Data envelopment analysis through the Malmquist-Luenberger productivity index is used to estimate the efficiency and productivity of innovation, human capital, economics, and economic sustainability in MENA countries. The results show an upward trend in efficiency, with a 26% increase in average efficiency between 2017 and 2019 compared to 2011 and 2016. However, there is variation in efficiency between countries. The decomposition of the productivity index indicates that the efficiency growth in 2017-2019 could be attributed to technical improvement rather than technological increase. However, there is a shift towards more technological progress. The study highlights the importance of developing human capital and capacity alongside innovation advancement for sustainable development, and presents strategies to achieve both simultaneously.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Huijing Deng, Yizhe Zhang, David Kaczan, Yuanbo Qiao, Xu Wang, Bin Chen, Yutao Wang
Summary: The study analyzes the eco-efficiency of China's industry from 2000 to 2015 in order to understand China's resource use and pollution trends in the context of rapid industrial growth. The results show an upward trend in industrial eco-efficiency (IEE) for China and its provinces, with strong regional disparity. Factors such as economic development, foreign direct investment (FDI), environmental enforcement, and market for technology are found to be associated with IEE. Measures to adjust industry structure, enhance environmental enforcement, attract FDI, and increase R&D investment can further improve IEE in China.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Economics
Yuning Gao, Meichen Zhang, Jinghai Zheng
Summary: This study examines the impact of carbon emissions on China's regional total factor productivity, finding that technical progress is the main contributor to improved provincial productivity. Factors such as innovation capacity, energy, and employment structure have a positive impact on productivity, while urbanization has a negative impact.
CHINA ECONOMIC REVIEW
(2021)
Article
Environmental Sciences
Yuxin Gai, Yuanbo Qiao, Huijing Deng, Yutao Wang
Summary: This study evaluates the eco-efficiency of China's textile industry at both the firm level and the sub-sector level. The results show an upward trend in eco-efficiency for the industry as a whole, but significant disparities are observed among different sub-sectors. Factors such as economic scale, export delivery value, foreign direct investment, and environmental regulation are found to influence the eco-efficiency of the industry.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Yimin Wu, Rosmanjawati Abdul Rahman, Qiuju Yu
Summary: This study evaluates and optimizes agricultural eco-efficiency (AEE) using a data-driven method to improve the sustainable development of regional agriculture. It analyzes AEE from both static and dynamic perspectives, considering agricultural resource inputs, environmental pollution, and agricultural economic development. The findings provide insights and recommendations for policymakers and agricultural practitioners on improving regional AEE and promoting sustainable development.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2022)
Article
Agronomy
Chenghan Guo, Rong Zhang, Yuntao Zou
Summary: This study uses the Data Envelopment Analysis (DEA) method and the Malmquist index model to measure the efficiency and changes of China's agricultural circular economy in 31 provinces and cities from 2017 to 2020. The analysis reveals that the efficiency of China's agricultural circular economy continued to grow during this period. The study also finds that the rural revitalization policy significantly impacts the efficiency of the agricultural circular economy, and government financial support has a positive influence on its efficiency. Based on the findings, several constructive suggestions are proposed.
Article
Social Sciences, Interdisciplinary
Wanxin He, Jianhua Fu, Youxi Luo
Summary: In the context of industrialized green reform, the well-being of people and sustainable development take precedence over mere economic growth. Decision-makers in the government need to prioritize adjusting people's livelihoods according to the green economy and ecological environment. This study developed a comprehensive livelihood well-being index and incorporated it into an eco-efficiency assessment system using data from 31 Chinese provinces. The results showed significant improvements in the western region, underutilized technology in China, and inter-regional variances as the main drivers of spatial differences in eco-efficiency.
SOCIAL INDICATORS RESEARCH
(2023)
Article
Biotechnology & Applied Microbiology
H. Arman, A. Jamshidi, A. Hadi-Vencheh
Summary: This study introduces a new methodology for examining eco-innovation and demonstrates its superiority. Empirical analysis reveals that the Czech Republic ranks highest in eco-innovation.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2021)
Article
Green & Sustainable Science & Technology
Rafael Benitez, Vicente Coll-Serrano, Vicente J. Bolos
Summary: This paper describes an interactive web application called deaR-shiny for measuring efficiency and productivity using DEA, filling a gap in available online DEA software. The tool offers practitioners and researchers free access to various DEA models. The web app's functionality is illustrated by replicating results from existing studies on efficiency and economic sustainability of Italian regional airports and efficiency scores of university libraries in Taiwan.
Article
Environmental Sciences
He Weichun, Li Erling, Cui Zhizhen
Summary: The study found that the overall green efficiency of agricultural innovation in China is not high, driven by different factors in different regions. Technological progress is the main driving force, while the diffusion, absorption, and implementation of agricultural technologies also play a crucial role in green efficiency.
CHINESE GEOGRAPHICAL SCIENCE
(2021)
Article
Green & Sustainable Science & Technology
Zhenshan Yang, Haoran Wang, Linsheng Yang, Runde Fu
Summary: After facing climate change and other environmental problems, many countries have prioritized research on environmental protection. However, there is still a lack of relevant research in the field of regional green production and trade systems. This study examined the regions' abilities of constructing a green production and trade system on the local, inter-provincial, and international levels by measuring the green production and trade system efficiency of 30 Chinese provinces during 2012-2017. Factors such as economic level, industrial structure, government's administrative capacity, technological investment, energy structure, urbanization level, and external dependence level were found to affect the construction of these systems at different levels.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Jingxue Wei, Yalin Lei, Huajun Yao, Jianping Ge, Sanmang Wu, Lingna Liu
Summary: The overall trend of agricultural water efficiency in the Yellow River basin is increasing, with significant differences among provinces and a spatial distribution pattern showing higher efficiency in downstream areas compared to midstream and upstream areas. Technological progress is the main factor influencing agricultural water efficiency, while economic development level and water resource endowment have positive effects on efficiency.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Forestry
Sha Huang, Lina Tang, Joseph P. Hupy, Yang Wang, Guofan Shao
Summary: The Normalized Difference Vegetation Index (NDVI) is a popular index for vegetation assessment due to its simplicity and ability to be calculated with any multispectral sensor. However, considerations such as atmospheric effects, saturation phenomena, and sensor factors must be taken into account to ensure effective use of NDVI in various applications, particularly in the UAV user community.
JOURNAL OF FORESTRY RESEARCH
(2021)
Article
Biodiversity Conservation
Ting Lan, Guofan Shao, Zhibang Xu, Lina Tang, Lang Sun
Summary: The Functional Compactness Index (FCI) is a new index that quantifies urban functional compactness by integrating different geospatial data sources. It can comprehensively reflect the intensity of human activity, differentiate between residential and other functional zones, and is not affected by residential zone service radius. The FCI can be used to compare spatial characteristics of functional compactness among different cities.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Yao Qian, Lang Sun, Dingkai Chen, Jiangfu Liao, Lina Tang, Qian Sun
Summary: The research focuses on the impact of land use change on the migration of non-point source (NPS) pollution in semi-urbanized areas. By proposing the land use impact coefficient (LUIC) and optimizing land use types, it is possible to reduce the export coefficient (EC) of NPS pollution. The closer to the mainstream of the river, the more effective the reduction of EC by optimizing land use in areas with high LUIC values.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Jing Li, Lipeng Hou, Lin Wang, Lina Tang
Summary: This study uses the Tapio decoupling theory to analyze the relationship between economic growth and air pollution in key regions of air pollution control in China from 2000 to 2019. The results show that government policies have played a significant role in improving the decoupling between air pollution and economic development, but improvements are needed in optimizing industrial, energy, and transportation structures, as well as strengthening control measures.
Editorial Material
Green & Sustainable Science & Technology
Yan Yan, Lina Tang
Summary: The trajectory of landsenses development can be divided into three phases: concept formation, proposing creation and its connection with ecosystem services, and applying ecology to the sustainability of the complex ecosystem. This issue covers research progress in the first two phases and points out the research direction of Phase III, focusing on ecosystem cultural and provisioning services. Most articles emphasize the societal and environmental components of sustainable development.
INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Yuanmao Zheng, Lina Tang, Haowei Wang
Summary: The proposed ENUI approach demonstrates higher accuracy in extracting urban built-up areas, attributed to the integration of NTL data with NDVI, NDWI, and NDBI, increasing the variability of nighttime light in urban core areas and alleviating blooming effects in water bodies and vegetated areas.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Sha Huang, Lishan Xiao, Youchi Zhang, Lin Wang, Lina Tang
Summary: The severe pollution of urban soils by heavy metals is mainly influenced by factors such as soil organic matter content, agriculture activities, and landscape pattern. The nonlinear relationships between different factors exacerbate the contamination of soils by heavy metals.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Engineering, Environmental
Yiqing Zhang, Azhar Rashid, Shanshan Guo, Yuanchun Jing, Qiaoting Zeng, Yan Li, Bob Adyari, Jun Yang, Lina Tang, Chang-Ping Yu, Qian Sun
Summary: The distribution and fate of contaminants of emerging concern (CECs) in the Houxi River were studied in relation to hydrological conditions, land use characteristics, and spatial contiguity. It was found that land use types related to anthropogenic activities were positively correlated with the presence and concentration of CECs. Significant annual variations were observed in both the concentrations and detection frequencies of CECs, with higher concentrations and detection frequencies downstream compared to upstream. Spatial variations were mainly influenced by downstream sites, and strong spatial autocorrelation was observed among connected sites. The results provide valuable insights for policymakers in managing and prioritizing CEC contaminants in the Houxi watershed.
Article
Green & Sustainable Science & Technology
Yuqiu Jia, Lina Tang, Panfeng Zhang, Min Xu, Lei Luo, Qi Zhang
Summary: There is a scaling relationship between urban population and infrastructure, and cities with larger populations and more complex spatial forms require more investment in infrastructure.
INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
(2022)
Article
Environmental Sciences
Yao Qian, Zheng Dong, Yan Yan, Lina Tang
Summary: Rapid urbanization has negative impacts on land use and landscape patterns in watersheds, degrading ecosystem services and habitat quality. This study assesses the ecological risk in Houxi Basin, a typical southeastern coastal watershed in China, from 2011 to 2019. The results show that the risks of degrading habitat-provision services slightly increase, while the risks of degrading water-purification services increase rapidly. Reasonable planning of land use types and spatial layout can help reduce ecological risks. Other conclusions include the effectiveness of combined replacement of forest and grassland in inhibiting pollution diffusion and the importance of optimizing areas with high land-use impact coefficients in inhibiting pollution diffusion.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Chang Liu, Lina Tang, Jinshan Yan, Jingyi Ouyang
Summary: Thermal comfort is crucial for human health and well-being, particularly for urban residents. In humid-hot regions, improving the thermal experience of urban residents by changing objective conditions such as microclimate is challenging. This study created a set of experience indices to explore the influencing factors and mechanisms of visitor's thermal comfort in an urban park. The findings show that visual, auditory, and olfactory experiences, as well as psychological cognitions, have a significant impact on thermal comfort.
INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
(2023)
Article
Environmental Sciences
Jiangfu Liao, Lina Tang, Guofan Shao
Summary: This study focuses on a typical industrial and trade city, Quanzhou, in southeastern China, and simulates the city's urban expansion and future ecological risks. The results indicate that there are spatial differences in the distribution of construction land under different urban development goals.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Computer Science, Information Systems
Guofan Shao, Lina Tang, Hao Zhang
Summary: This paper introduces image classification efficacy metrics from the fields of medicine and pharmacology to overcome the limitations of existing accuracy metrics. The method can be applied in various levels and types of image classifications, facilitating accurate evaluation of classification methods.
Article
Ecology
Fangqi Zhao, Lina Tang, Quanyi Qiu, Gang Wu
ECOSYSTEM HEALTH AND SUSTAINABILITY
(2020)
Article
Engineering, Electrical & Electronic
Ting Lan, Guofan Shao, Lina Tang, Zhibang Xu, Wei Zhu, Lingyu Liu
Summary: The COVID-19 pandemic has caused significant changes in human activities and nighttime lights, and this study used daily NTL data to analyze the spatial variations and temporal dynamics of human activities during the pandemic. The results indicate that NTL changes are not directly correlated to confirmed cases, but rather reflect changes in human activities and epidemic prevention measures. Different cities showed different responses during the outbreak and recovery periods, highlighting the importance of monitoring human activities using NTL data during public health events.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
