中国农业科技水平的时空演变、区域关联及其经济协同发展效应——以省域公立农业科研机构为例

doi:10.3864/j.issn.0578-1752.2021.24.008

Abstract

Abstract:

【Objective】In the long run, agricultural science & technology and agricultural economics should show a dynamic and mutually beneficial collaborative development trend, which is more conducive to accelerating the development of modern agriculture. To study further the spatial and temporal evolution trends and spatial distribution characteristics of science and technology development of pubic agriculture research institutions, and the coordinated development condition between agricultural science & technology and regional economics, contributes to correctly understand the coordinated development mechanism of agricultural science & technology innovation and regional economy among provinces, and analyze the potential reasons for the poor coordinated development degree of agricultural science & technology and agricultural economy, and explore to find the way to improve the agricultural science & technology innovation level and resolve the problem of “wide gap between agriculture S&T and agriculture economy”. 【Method】Based on numbers of agricultural researchers, the patent grants and numbers of published papers, the GIS technology and ESDA methods are applied for the study of spatial and temporal evolution trends and spatial distribution characteristics of science and technology output by provincial public agriculture research institutions, and coordinated development condition between agricultural science & technology and agricultural economics is revealed. 【Result】 The results show that: During ten years, the science and technology output of provincial public agriculture research institutions are decreasing gradually from the eastern coastal areas to the surroundings; the patent grants are increasing obviously for most provincial agriculture research institutions, while the quantity growth of publication of papers and the agricultural researchers are indistinctive. From the perspective of spatial distribution characteristics, notwithstanding the science and technology output of provincial public agriculture research institutions present the characteristics of local spatial autocorrelation, large-scaled spatial agglomeration effects are not formed. From the perspective of coordinated development condition between agricultural science & technology and agricultural economics, the Eastern cities by Shandong, Jiangsu, Guangdong, Fujian etc. had good performance, the central regions is average and the coordinated development condition between agricultural technology and agricultural economics for the most provinces in Northwest, Southwest and Northeast China are weak. Hereby some policy proposals are put forwarded in aspect of improving the level of science and technology of provincial public agriculture research institutions, and promoting the coordinated development condition between agricultural science & technology and agricultural economics. 【Conclusion】During 2008-2018, the science & technology level of provincial public agriculture research institutions gradually decreased from the eastern coastal areas to the surroundings, showing the features of spatial heterogeneity, and large-scaled spatial agglomeration effects has not been formed. The coordinated development degree between agricultural science & technology level of provincial public agriculture research institutions and provincial agricultural economics is lower, consequently, it is necessary to accelerate the construction of the spatial agglomeration pattern of the coordinated development of agricultural science & technology and agricultural economics, which provides support for solving the problem of “wide gap between agriculture S&T and agriculture economics”.

Key words: public agriculture research institution, province area, agricultural science and technology, ESDA, coordinated development

YUE HuiLi,ZHANG Zhao,ZHANG HuiJie,LIU ShengPing,ZHANG Jie. The Spatial and Temporal Evolution, Regional Correlations and Economic Coordinated Development Effect for Chinese Agricultural Science and Technology Level: Taking Provincial Public Agriculture Research Institutions as an Example[J].Scientia Agricultura Sinica, 2021, 54(24): 5251-5265.

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Figures/Tables 9

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Fig. 2

Fig. 3

Table 1

Fig. 4

Table 2

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Table 3

Local spatial clustering of patents grants growth rate for provincial agriculture research institutions"

年份 Year	第一象限（高-高） The first quadrant (High-High)	第二象限（低-高） The second quadrant (Low-High)	第三象限（低-低） The third quadrant (Low-Low)	第四象限（高-低） The forth quadrant (High-Low)
2008	安徽、甘肃、江苏、山东、浙江 Anhui, Gansu, Jiangsu, Shandong, Zhejiang	河北、陕西、内蒙古★、上海、天津 Hebei, Shanxi, Inner Mongolia★, Shanghai, Tianjin	广东、广西★、贵州★、海南、河北、湖北、湖南★、江西、辽宁、青海、西藏、新疆、重庆★ Guangdong, Guangxi★, Guizhou★, Hainan, Hebei, Hubei, Hunan★, Jiangxi, Liaoning, Qinghai, Tibet, Xinjiang, Chongqing★	北京、福建、河南、黑龙江、吉林、宁夏、山西、四川、云南★ Beijing, Fujian, Henan, Heilongjiang, Jilin, Ningxia, Shanxi, Sichuan, Yunnan★
2013	甘肃★、黑龙江、内蒙古、宁夏、青海、云南 Gansu★, Heilongjiang, Inner Mongolia, Ningxia, Qinghai, Yunnan	河北、吉林、陕西、西藏★、新疆★ Hebei, Jilin, Shanxi, Tibet★, Xinjiang★	安徽、福建、广东、河北、河南、湖北★、湖南、江苏、山东、上海、四川★、天津、浙江、重庆★ Anhui, Fujian, Guangdong, Hebei, Henan, Hubei★, Hunan, Jiangsu, Shandong, Shanghai, Sichuan★, Tianjin, Zhejiang, Chongqing★	北京、广西、贵州、海南、江西、辽宁、山西 Beijing, Guangxi, Guizhou, Hainan, Jiangxi, Liaoning, Shanxi
2018	广东、河北、河南、宁夏、陕西、四川、天津 Guangdong, Hebei, Henan, Ningxia, Shanxi, Sichuan, Tianjin	安徽、北京、福建、甘肃★、海南、黑龙江、湖北、湖南、吉林、辽宁、山东、山西★、新疆、云南、浙江、重庆 Anhui, Beijing, Fujian, Gansu★, Hainan, Heilongjiang, Hubei, Hunan, Jilin, Liaoning, Shandong, Shanxi★, Xinjiang, Yunnan, Zhejiang, Chongqing	江苏、上海、西藏 Jiangsu, Shanghai, Tibet	广西、贵州、江西、内蒙古、青海 Guangxi, Guizhou, Jiangxi, Inner Mongolia, Qinghai

Table 3

Fig. 6

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年份 Year	专利授权量 Patent grants		论文发表数量 Papers published		科研人员数量 Agricultural researchers
年份 Year	极差 Extreme difference	变异系数 Coefficient variation	极差 Extreme difference	变异系数 Coefficient variation	极差 Extreme difference	变异系数 Coefficient variation
2008	60	0.99	1379	0.57	4249	0.47
2009	82	0.95	1712	0.61	4124	0.47
2010	99	0.93	1642	0.57	4241	0.48
2011	258	1.13	4452	0.87	5239	0.48
2012	367	1.11	2983	0.67	5091	0.46
2013	618	1.17	3023	0.69	5704	0.48
2014	677	1.07	3317	0.70	5414	0.47
2015	789	1.04	3328	0.72	5349	0.48
2016	847	0.99	3567	0.75	5157	0.49
2017	809	0.98	3858	0.76	6308	0.52
2018	922	0.9	4210	0.83	6922	0.61

	年份Year
	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018
Moran 值 Moran value	0.04	0.10	-0.06	0.01	-0.11	0.08	0.10	-0.11	-0.09	-0.16	0.06
Z统计量 Z statistics	0.66	2.32	-0.13	-0.31	-1.88	1.09	0.09	-0.74	-0.59	-0.92	0.72

The Spatial and Temporal Evolution, Regional Correlations and Economic Coordinated Development Effect for Chinese Agricultural Science and Technology Level: Taking Provincial Public Agriculture Research Institutions as an Example

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