Article
Economics
Liwei Guo, Wei Wang
Summary: Based on spatial panel data analysis, this study finds that the promotion of agricultural mechanization level has significant spatial spillover effects on agricultural total factor productivity growth, especially in the eastern and northeast regions of China. However, the central and western regions show weaker spatial spillovers due to different patterns of agricultural development. These findings provide important references for optimizing the spatial layout of agricultural mechanization, promoting agricultural development according to local conditions, and formulating reasonable agricultural economic development policies.
Article
Economics
Tongwei Qiu, Xinjie Shi, Qinying He, Biliang Luo
Summary: The development of agricultural mechanization services (AMS) can reduce the probability of smallholder farmers exiting agricultural production through land abandonment, but increase the probability through land renting-out. Further analysis shows that the emergence of large farm operators and the increase in land size rented by them induce smallholder farmers' exit through both land abandonment and land renting-out.AMS also increases market demand for land transfers and marketization of land rentals, leading smallholder farmers to exit through abandonment of fragmented and distant land plots as land markets develop.
CHINA ECONOMIC REVIEW
(2021)
Article
Environmental Sciences
Peipei He, Junbiao Zhang, Wenjing Li
Summary: This study investigated the impact of agricultural green production technologies (AGPTs) on low-carbon efficiency, finding low adoption rates and unbalanced adoption patterns. The effects on low-carbon efficiency varied by region and specific technologies. To improve low-carbon efficiency, it is suggested to enhance and promote applicable AGPTs according to local production conditions, as well as improve the agricultural machinery service, research and development system.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Agricultural Economics & Policy
Jingjing Gao, Qingen Gai, Binbin Liu, Qinghua Shi
Summary: The main reason for the large amount of pesticide use by Chinese farmers is the small and fragmented farm sizes, which lead to the use of large amounts of pesticides. Factors influencing the relationship between farm size and pesticide use include spillover effect from other farmers in the same village, level of mechanization, and farmers' management ability. The effectiveness of agricultural machinery services in reducing pesticide use is currently limited, and improvement in the service system is needed.
CHINA AGRICULTURAL ECONOMIC REVIEW
(2021)
Article
Green & Sustainable Science & Technology
Yakun Wang, Jingli Jiang, Dongqing Wang, Xinshang You
Summary: This study systematically analyzes the impact of China's maize Green Total Factor Productivity (GTFP) and mechanization on GTFP, providing a reference for reasonably playing the role of mechanization and improving China's agricultural GTFP. The study focuses on the impact of agricultural mechanization level on maize GTFP and reveals the temporal and regional change characteristics of maize GTFP. The results show that the growth of China's maize production GTFP fluctuates greatly in each year, and the growth of maize GTFP depends on the alternate promotion of technical efficiency and technical progress.
Article
Economics
Shouying Liu, Sen Ma, Lijuan Yin, Jiong Zhu
Summary: This paper examines the effects of land titling on the reallocation of human capital and finds that it leads to a brain drain from the agricultural sector, resulting in a decrease in agricultural productivity and output. This finding has not been thoroughly discussed in previous studies and policy making.
JOURNAL OF DEVELOPMENT ECONOMICS
(2023)
Article
Economics
Tongwei Qiu, S. T. Boris Choy, Yifei Li, Biliang Luo, Jing Li
Summary: The increasing price of agricultural mechanization services leads to farmers leaving land operation, especially when considering the high sunk costs and long-term breakeven period of self-owned machinery. The surge in service prices also reduces land renting-in and encourages non-grain production.
CHINA & WORLD ECONOMY
(2021)
Article
Environmental Studies
Xisheng Liao, Shaoyi Qin, Yajuan Wang, Hongbo Zhu, Xuexiang Qi
Summary: Facing the threat of environmental deterioration and extreme weather, improving agricultural carbon productivity is necessary for achieving the goal of double carbon and promoting high-quality agricultural development. Land transfer has a potential positive effect on improving agricultural output and reducing carbon emissions. This study empirically tests the relationship between land transfer and agricultural carbon productivity in China using panel data from 2006 to 2019.
Article
Green & Sustainable Science & Technology
Qi Yang, Yueji Zhu, Ling Liu, Fang Wang
Summary: The stability of land tenure has a significant positive impact on farmers' adoption of sustainable agricultural practices, particularly among farmers who own a higher proportion of their farmland. The impact of land tenure stability varies among farmers with different farmland sizes and in different regions. Additionally, there is a positive association between the use of sustainable agricultural practices and land productivity in banana farms in China.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Studies
Ning Xu, Desen Zhao, Wenjie Zhang, Ming Liu, He Zhang
Summary: This study investigates the impact of agricultural digital transformation on agricultural carbon productivity (ACP) using panel data from 30 provinces (cities) in China from 2011 to 2019. The results show that agricultural digital transformation promotes ACP through mechanisms like agricultural industrial structure upgrading and scale operation. It also demonstrates a U-shaped non-linear feature of inhibition first and promotion later in relation to ACP.
Article
Environmental Studies
Lijing Zhang, Mingyong Hong, Xiaolin Guo, Wenrong Qian
Summary: Land rental has a significant impact on agricultural labor productivity in China. Renting-in land has a positive effect on household agricultural labor productivity, while renting-out land has the opposite effect. Renting-in land indirectly affects household agricultural labor productivity through the land-labor ratio, intermediate inputs, and agricultural assets investment. Furthermore, the development of the land rental market positively affects the improvement of aggregated agricultural labor productivity at the village level.
Article
Agriculture, Multidisciplinary
Idoia Urrutia Larrachea, Santiago L. Poggio, Diego Cosentino, Maria Semmartin
Summary: Extensive agriculture results in spatial and temporal homogeneity in landscapes, which masks the natural heterogeneity. Neglecting natural heterogeneity can increase the risk of land degradation in highly homogeneous agricultural landscapes, such as the Pampas region.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2022)
Article
Environmental Studies
Wenjing Han, Zhengfeng Zhang, Xiaoling Zhang, Li He
Summary: The rural land rental market has a significant impact on household income and livelihood strategies in developing countries, particularly in China with its unique collective-owned rural land system. Renting farmland positively affects on-farm and total income for households, but has limited influence on off-farm income. Different types of households respond differently to expanding farm size through renting land, and the joint effects of rental area and household agricultural productivity have a significantly positive impact on lessee households' farm income. For lessor households, renting out farmland does not improve off-farm and total income significantly.
Article
Agronomy
Hongyan Cai, Ziwei Wang, Guoming Du, Dingxiang Zhang
Summary: This study assessed the impacts of transitions between cropland and rural residential land (RRL) on agricultural production in Northeast China (NEC). It found that the expansion and reclamation of RRL in the region led to a decrease in cropland and regional crop production by 0.08%. The productivity gap between the reclaimed and traditional cropland was also explored, with the reclaimed cropland being less productive. Suggestions for future land use policy in rural China were put forward.
FOOD AND ENERGY SECURITY
(2023)
Article
Agronomy
Siyu Yang, Wei Li
Summary: Against the backdrop of urbanization, rural hollowing out, and aging, the problem of who will farm the land to ensure national food security becomes increasingly urgent. Socialized agricultural machinery service provides a feasible solution. This study, based on field survey data from four major wheat-producing provinces in China, found that socialized agricultural machinery service has a positive impact on land productivity, although the magnitude varies due to differences in planting scale, terrain, and concurrent business. It is crucial to guide and support the effective supply of socialized agricultural machinery services in key links of food production, in order to promote the connection between small farmers and the development of modern agriculture.
Article
Economics
Wanglin Ma, Sanghyun Hong, W. Robert Reed, Jianhua Duan, Phong Luu
Summary: This study utilizes a meta-analysis to examine the impact of agricultural cooperative membership on crop and livestock yields. The research combines data from 42 studies conducted in 19 developing countries, resulting in 158 estimated yield effects. The findings indicate the presence of positive publication bias in the empirical literature, revealing a preference for publishing articles reporting positive and significant results. However, after adjusting for publication bias, it is concluded that cooperative membership has a minimal and insignificant effect on yield. The meta-regression analysis further identifies various study attributes that explain the variation in reported yield effects, including sample type, membership ratio, econometric approaches, effect size types, agro-product type, and climate zones.
ANNALS OF PUBLIC AND COOPERATIVE ECONOMICS
(2023)
Article
Economics
Wanglin Ma, Puneet Vatsa, Kathryn Bicknell
Summary: There is a growing concern about the sustainability of New Zealand's agriculture, and efforts are being made to promote sustainable agricultural practices. This note discusses four main challenges the country faces in transitioning to sustainable agriculture: reducing biogenic methane emissions, decreasing the use of synthetic fertilizers, managing water resources, and sustainable land use. It is crucial to have a coordinated strategy involving the government, industry stakeholders, and research institutions to successfully achieve this transition. Setting ambitious targets without providing viable alternatives or gaining farmers' support is unlikely to be effective.
NEW ZEALAND ECONOMIC PAPERS
(2023)
Article
Agricultural Economics & Policy
Wanglin Ma, Hongyun Zheng, Amaka Nnaji
Summary: This study investigates the impact of agricultural cooperative membership on the adoption of green pest control practices by rice farmers in China. The results show that cooperative membership significantly increases the probability of adopting physical and biological pest control practices and reduces chemical pesticide expenditures. Additionally, physical pest control practices have a positive effect on rice yield, while biological pest control practices do not.
AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS
(2023)
Article
Construction & Building Technology
Fengxuan Liu, Alice Chang-Richards, Kevin I-Kai Wang, Kim Natasha Dirks
Summary: Statistical analyses on survey data from 157 postgraduate students and 89 staff members at a university in New Zealand revealed the impact of indoor environment factors on the work productivity of office users. The results of partial least squares structural equational modelling confirmed the positive correlation between indoor environment quality (IEQ), wellbeing and comfort, and work productivity. The study highlighted the importance of incorporating productivity and wellbeing-oriented design features in university buildings and consulting with office users for optimized design solutions.
BUILDING AND ENVIRONMENT
(2023)
Article
Economics
Xiaoshi Zhou, Puneet Vatsa, Wanglin Ma
Summary: This study examined the impact of internet use on the value and diversity of risky financial asset portfolios. The results showed that internet use was positively associated with higher portfolio value and diversity, with stronger effects observed for females. Specifically, females experienced a 57% increase in portfolio value compared to 18% for males, and a 310-313% increase in diversity compared to 97-99% for males.
QUARTERLY REVIEW OF ECONOMICS AND FINANCE
(2023)
Article
Computer Science, Artificial Intelligence
Jingchao Wang, Weimin Li, Wei Liu, Can Wang, Qun Jin
Summary: Knowledge graph completion aims to fill in missing entities and relations in a knowledge graph. Existing inductive KG embedding methods can embed unseen entities, but they do not fully utilize the structural information of neighbors or handle unseen relations. In this paper, we propose a novel inductive KGC model called SAAN, which can generate embeddings of unseen entities and relations by aggregating neighbors with structure-aware attention weights. Experimental results show that our model outperforms state-of-the-art methods in both transductive and inductive KGC tasks.
APPLIED INTELLIGENCE
(2023)
Article
Automation & Control Systems
Gui-Bin Bian, Jie Wang, Pan Fu, Bing-Ting Wei, Ming-Jun Li, Zhen Li
Summary: Ophthalmic surgery requires precise manipulation, but tremors in surgical robot and environmental interference can increase the risk. A proposed method suppresses hand tremors and reduces noise interference, improving accuracy and reducing risks.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Computer Science, Artificial Intelligence
Jingchao Wang, Weimin Li, Fangfang Liu, Bin Sheng, Wei Liu, Qun Jin
Summary: Question answering over knowledge graph (KGQA) aims to answer natural language questions posed over knowledge graphs (KGs). Multi-hop KGQA requires reasoning across multiple triplets in KGs to get the answer. To address the challenges posed by incomplete KG information, recent approaches have introduced KG embedding techniques. However, these methods ignore semantic correlations and higher-order relations among entities. To tackle these problems, a novel hypergraph and inference chain-based model called Hic-KGQA is proposed, which outperforms existing state-of-the-art methods and is explainable.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Environmental Studies
Junpeng Li, Wanglin Ma
Summary: This study examines the impact of social interaction-oriented gift expenditure on the energy poverty of rural households in China. The findings indicate that such gift expenditure can crowd out energy expenditures and increase the likelihood of energy inaccessibility, unaffordability, and multidimensional energy poverty. Additionally, household deposits play a mediating role in the positive relationship between gift expenditure and rural energy poverty. Regulating monetary gift-giving behavior could help alleviate rural energy poverty.
ENERGY RESEARCH & SOCIAL SCIENCE
(2023)
Article
Engineering, Biomedical
Hongli Cheng, Shizhong Yuan, Weimin Li, Xiao Yu, Fangyu Liu, Xiao Liu, Tsigabu Teame Bezabih
Summary: This study proposes a collaborative learning framework called LSTM-TSGAIN for accurate prediction of the progression of Alzheimer's disease. The model improves prediction performance through the use of generative adversarial imputation, collaborative training, and adjusting input lengths, and experiments demonstrate its superiority over existing methods.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Xing Wu, Zhi Li, Chenjie Tao, Xianhua Han, Yen-Wei Chen, Junfeng Yao, Jian Zhang, Qun Sun, Weimin Li, Yue Liu, Yike Guo
Summary: Data Efficient Augmentation (DEA) is proposed as a plug-and-use method for efficient medical image segmentation. DEA enhances data efficiency and has good generalization capabilities across different segmentation methods, improving segmentation performance on multiple datasets.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Computer Science, Artificial Intelligence
Chang Guo, Weimin Li, Fangfang Liu, Kexin Zhong, Xing Wu, Yougang Zhao, Qun Jin
Summary: This study proposes an influence maximization algorithm based on group trust and local topology structure. By defining characteristics such as group tightness, it extracts local structure information from different topological positions within the group and calculates the propagation probability between users. Experiments show that the algorithm can achieve higher propagation efficiency and wider influence effects across multiple datasets.
Article
Development Studies
Wanglin Ma, Xiaoshi Zhou, David Boansi, Godwin Seyram Agbemavor Horlu, Victor Owusu
Summary: This study analyzes the impact of agricultural mechanization on the non-farm employment of rural women in China. The results show that the adoption of mechanization increases the probability of rural women participating in non-farm work, with a greater impact on unmarried women. Fully-mechanized farming plays a more significant role in increasing non-farm employment probability for rural women.
Article
Computer Science, Artificial Intelligence
Yan Zhao, Weimin Li, Fangfang Liu, Jingchao Wang, Alex Munyole Luvembe
Summary: Community detection is an unsupervised clustering method that aims to discover hidden communities or groups in complex networks. Existing unsupervised methods are designed for homogeneous networks and struggle to handle heterogeneous structures and rich semantic information. Therefore, this study proposes an unsupervised framework, called HAESF, to fuse heterogeneous structure information and interpret the rich semantics of the network in the form of community semantics. The framework includes two modules: Heterogeneous Auto-Encoder (HAE) and Semantic Factorization (SF). The HAE module represents and aggregates the heterogeneous structure using a hierarchical attention scheme, while the SF module focuses on learning the semantic information from a community perspective. Extensive experiments show that HAESF outperforms other popular unsupervised methods, demonstrating its effectiveness in community detection.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Gui-Bin Bian, Jia-Ying Zheng, Zhen Li, Jie Wang, Pan Fu, Chen Xin, Daniel Santos da Silva, Wan-Qing Wu, Victor Hugo C. De Albuquerque
Summary: This study proposes a multimodal, multi-timescale data fusion network based on deep learning to improve the accuracy of continuous circular capsulorhexis (CCC) procedures. Through validation on an ophthalmologist CCC multimodal maneuver dataset, the model demonstrates superior performance in continuous action sequence segmentation and minority class recognition.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
