How to further develop the integrated planting and breeding mode

A case study of the western region of Shandong Province

Bibliographic Data

ID12306170
AuthorsYuan Xu (0000-0002-2341-7971, Shandong University), Guangrui Wang (0000-0002-6033-5270, School of Economics and Management Yanshan University Qinhuangdao China), Shuo Yang (0000-0003-4993-9935, Shandong University), Mingqiang Liu (0000-0002-7844-2461, Shandong University), Qingsong Wang (0000-0002-6508-5653, Shandong University, corresponding author), Shu Tian (0000-0002-7677-661X, Shandong University), Yujie Zhang (0000-0001-6480-4268, Shandong University), Yue Xu (0000-0002-3436-1539, Shandong University), Xu Yue (0000-0002-2126-633X), Xueliang Yuan (0000-0002-7331-1059, Shandong University), Qiao Ma (0000-0002-6883-8198, Shandong University), Haichao Ma (Shandong University), Huibin Zhang (0000-0002-6066-0356, Shandong University)
Year2023
Volume31
Issue4
Pages3128-3143
Publication date2023-04-12
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSustainable Development (JOURNAL)
Journal identifiersISSN: 0968-0802 • E-ISSN: 1099-1719
PublisherWiley (PUBLISHER • GB)
DOI10.1002/sd.2573
OpenAlexW4365455503
LanguageEN
Citations received2
References cited63

Under the climate change aggravating the issues of energy security and food shortage, global agriculture suffers from great pressure, and how to promote sustainable agriculture has become one of the hot issues of concern in academia. This paper focuses on China, where efforts are being made to develop sustainable agriculture, and takes the western part of Shandong Province as the target of study. Based on the identification of factors that affect the promotion of the local circular agriculture implementation, AMOS was applied to construct and test the structural equation model and to explore the interaction mechanism between each variable. The study breaks through the traditional modes of data collection and is based on the actual farming conditions of the farmers currently, choosing to obtain data by means of questionnaires and field surveys. The 24 selected factors were analyzed by SPSS and AMOS software, and the total model weight of each factor were calculated separately. The top five key factors affecting the advancement of the model, namely government policy encouragement, preferential agricultural loans support, participation of specialized agricultural organizations, estimated revenue of the mode and farmers' awareness of environmental protection, are obtained with weight of 6.08%, 5.60%, 5.59%, 5.26% and 5.09%, respectively. Combined with data to focus on analysis, this paper puts forward some relevant countermeasures and suggestions to promote the integrated planting and breeding mode in accordance with local conditions, which can provide beneficial reference for government departments to make relevant policies

Agriculture · Business · Economics · Environmental economics · Environmental resource management · Geography · Government (linguistics · Political science · Promotion (chess · Revenue · Structural equation modeling · Sustainable agriculture · Sustainable development · Agriculture Sustainability and Environmental Impact · Computer Science · Land Use and Ecosystem Services · Organic Food and Agriculture · Finance

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