{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:21:10Z","timestamp":1760239270244,"version":"build-2065373602"},"reference-count":26,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2020,10,26]],"date-time":"2020-10-26T00:00:00Z","timestamp":1603670400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Heilongjiang philosophy and social sciences research and planning project &quot;Research on the construction path and innovation platform of agricultural innovation system in Heilongjiang Province&quot;","award":["18GLC205"],"award-info":[{"award-number":["18GLC205"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Based on the perspective of the value chain of agricultural science and technology innovation, in this paper, we divided the process of agricultural science and technology innovation into two stages: the Research and Development (R&amp;D) of agricultural technology and the application of agricultural technology. We took the efficiency of agricultural science and technology innovation of the two stages as a comprehensive index measure for the development of agricultural science and technology innovation in China. On this basis, we used social network analysis to establish a two-stage spatial correlation network for the innovation development of agricultural science and technology in China. The spatial-temporal evolution trends, structural characteristics, and influencing factors of the network were analyzed from the three aspects of the overall, local, and individual network structure. The results show that: a. The development of agricultural science and technology innovation in China demonstrated a clear spatial correlation and spillover effect, and the spatial correlation network was in a connected state. b. The network had the distribution characteristics of \u2018core-edge\u2019 and strong stability, and the hierarchical structure of the members of each province in the network was gradually broken. c. The differences at the market level in agricultural science and technology, the differences in government support for agriculture, the geographically adjacent relationships, and the level of agricultural economic development were important factors affecting the spatial correlation of agricultural science and technology innovation. This study provides a policy reference to use a cross-regional coordinated development mechanism to solve the uneven and asymmetry problem of the distribution of elements in various regions in China.<\/jats:p>","DOI":"10.3390\/sym12111773","type":"journal-article","created":{"date-parts":[[2020,10,26]],"date-time":"2020-10-26T10:38:35Z","timestamp":1603708715000},"page":"1773","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Network Structure and Influencing Factors of Agricultural Science and Technology Innovation Spatial Correlation Network\u2014A Study Based on Data from 30 Provinces in China"],"prefix":"10.3390","volume":"12","author":[{"given":"Fulin","family":"Wang","sequence":"first","affiliation":[{"name":"Economic Management of Agriculture and Forestry, School of Economics and Management, Northeast Agricultural University, Harbin 150030, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Wu","sequence":"additional","affiliation":[{"name":"Economic Management of Agriculture and Forestry, School of Economics and Management, Northeast Agricultural University, Harbin 150030, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Management Science and Engineering, College of Engineering, Northeast Agricultural University, Harbin 150030, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,10,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1111\/1746-692X.12019","article-title":"Innovation in Livestock Genetic Improvement","volume":"12","author":"Islam","year":"2013","journal-title":"EuroChoices"},{"key":"ref_2","unstructured":"OECD (2013). Agricultural Innovation Systems: A Framework for Analyzing the Role of the Government, OECD Publishing."},{"key":"ref_3","first-page":"22","article-title":"How innovative is your agriculture? Using innovation indicators and benchmarks to strengthen national agricultural innovation systems","volume":"41","author":"Spielman","year":"2008","journal-title":"Agric. Rural. Dev. Discuss."},{"key":"ref_4","first-page":"185","article-title":"Measuring innovation in agricultural firms: A methodological approach","volume":"11","author":"Ariza","year":"2013","journal-title":"Electr. J. Kn. Manag."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"3075","DOI":"10.1080\/00036840903427240","article-title":"Innovation and total factor productivity in organic farming","volume":"43","author":"Karafillis","year":"2011","journal-title":"Appl. Econ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.foodpol.2014.11.003","article-title":"Measuring and understanding the drivers of agricultural innovation: Evidence from Ireland","volume":"51","author":"Renwick","year":"2015","journal-title":"Food Policy"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1093\/erae\/jbu024","article-title":"Spatial dependence in the adoption of organic drystock farming in Ireland","volume":"42","author":"Kelley","year":"2015","journal-title":"Eur. Rev. Agric. Econ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.landusepol.2016.04.032","article-title":"What drives innovation in the agricultural sector? A spatial analysis of knowledge spillovers","volume":"56","author":"Renwick","year":"2016","journal-title":"Land Use Policy"},{"key":"ref_9","unstructured":"Renwick, A., L\u00e4pple, D., O\u2019Malley, A., and Thorne, F. (2014). Innovation in the Irish Agri-Food Sector, University College Dublin. Research Report."},{"key":"ref_10","first-page":"19","article-title":"Distance effects, social class and the decision to participate in higher education in Ireland","volume":"44","author":"Cullinan","year":"2013","journal-title":"Econ. Soc. Rev."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1016\/j.scitotenv.2019.02.162","article-title":"Carbon emissions, energy consumption and economic growth: Evidence from the agricultural sector of China\u2019s main grain-producing areas","volume":"665","author":"Zhang","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Asheim, B., and Gertler, M. (2006). The geography of innovation: Regional innovation systems. The Oxford Handbook of Innovation, Oxford University Press.","DOI":"10.1093\/oxfordhb\/9780199286805.003.0011"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1016\/j.respol.2014.11.002","article-title":"Academic collaborations and firm innovation performance in china: The role of region-specific institutions","volume":"44","author":"Kafouros","year":"2015","journal-title":"Res. Policy"},{"key":"ref_14","first-page":"141","article-title":"Evaluation and comparative analysis of the efficiency of agricultural science and technology innovation in my country\u2019s provinces","volume":"5","author":"Guo","year":"2020","journal-title":"Learn. Explor."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1016\/j.ecolecon.2010.12.003","article-title":"Using spatial micro simulation to account for demographic and spatial factors in environmental benefit transfer","volume":"70","author":"Cullinan","year":"2011","journal-title":"Ecol. Econ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1016\/j.landusepol.2017.07.054","article-title":"Unpacking systemic innovation capacity as strategic ambidexterity: How projects dynamically configure capabilities for agricultural innovation","volume":"68","author":"Turner","year":"2017","journal-title":"Land Use Policy"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1016\/j.landusepol.2012.08.004","article-title":"Enhancing innovation in agriculture at the policy level: The potential contribution of Technology Assessment","volume":"31","author":"Vanclay","year":"2013","journal-title":"Land Use Policy"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1016\/0166-0462(92)90041-X","article-title":"Neighbourhood influence and technological change","volume":"22","author":"Case","year":"1992","journal-title":"Reg. Sci. Urban Econ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1080\/00343400050006069","article-title":"The innovativeness and growth of rural SME during the 1990","volume":"34","author":"North","year":"2000","journal-title":"Reg. Stud."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"577","DOI":"10.2307\/2118401","article-title":"Geographic localisation and knowledge spillovers as evidenced by patent citations","volume":"108","author":"Jaffe","year":"1993","journal-title":"Quart. J. Econ."},{"key":"ref_21","first-page":"630","article-title":"Spillovers and the geography of innovation and production","volume":"86","author":"Audretsch","year":"1996","journal-title":"Am. Econ. Rev."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1080\/00343400050015069","article-title":"The geography of innovation: A cross-sector analysis","volume":"34","author":"Breschi","year":"2000","journal-title":"Reg. Stud."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1007\/s10460-019-09935-0","article-title":"Do translocal networks matter for agricultural innovation? A case study on advice sharing in small-scale farming communities in Northeast Thailand","volume":"36","author":"Rockenbauch","year":"2019","journal-title":"Agric. Hum. Values"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/S0166-4972(97)00102-8","article-title":"Small firms, R & D, technology and innovation in the UK: A literature review","volume":"18","author":"Hoffman","year":"1998","journal-title":"Technovation"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1080\/0034340052000320887","article-title":"Proximity and innovation: A critical assessment","volume":"39","author":"Boschma","year":"2005","journal-title":"Reg. Stud."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1016\/j.ejor.2006.11.041","article-title":"Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan","volume":"185","author":"Kao","year":"2008","journal-title":"Eur. J. Oper. 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