农业科技投入对农业经济增长的驱动影响研究——基于浙江省60个县的统计数据

doi:10.3969/j.issn.1004-1524.2022.07.22

浙江农业学报 ›› 2022, Vol. 34 ›› Issue (7): 1537-1544.DOI: 10.3969/j.issn.1004-1524.2022.07.22

农业科技投入对农业经济增长的驱动影响研究——基于浙江省60个县的统计数据

柯福艳(), 徐知渊, 杨良山

浙江省农业科学院农村发展研究所,浙江杭州 310021

收稿日期:2021-09-08 出版日期:2022-07-25 发布日期:2022-07-26
作者简介:柯福艳(1976—),女,湖北随州人,博士,副研究员,主要从事农业经济管理研究。E-mail: 1261375852@qq.com
基金资助:
浙江省软科学研究计划(重点项目)(2020C25036)

Study on driving effects of agricultural science and technology investments on agricultural economic growth:based on the data of 60 counties in Zhejiang Province, China

KE Fuyan(), XU Zhiyuan, YANG Liangshan

Institute of Rural Development, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China

Received:2021-09-08 Online:2022-07-25 Published:2022-07-26

摘要/Abstract

摘要：

本文从财力、人力两个维度,以2015—2019 年浙江省60个县数据为样本,运用面板数据模型实证分析农业科技投入对农业经济增长的作用。结果发现:农业科技财政投入与农业经济增长总体上呈正相关关系,且对浙西南地区的正向作用要明显高于浙东北地区;农业科技人员投入仅在浙东北地区表现出正向作用,在浙西南地区表现出负向作用;其他控制变量对农业经济增长的作用也表现出一定的差异,其中农业机械总动力没有表现出正向作用。因此,在未来一段时期科技强农、机械强农“双强”行动中,浙江要持续加大农业科技财政投入并向浙西南地区倾斜;积极优化农业科技人员配置,在浙西南地区要着重优化农业科技人员配置使其与农业生产相适应,在浙东北地区要着重加强农业科技人员引进培养以打造有力的农业科技队伍;加快老旧农业机械设备更新和新型实用农业机械设备的研发与推广。

关键词: 农业科技投入, 农业经济增长, 面板数据模型, 地区差异, “双强”行动

Abstract:

Taking the data of 60 counties in Zhejiang Province from 2015 to 2019, this paper empirically analyzed the effects of agricultural science and technology investments on agricultural economic growth by using panel data model. The results showed that by controlling other input variables, on the whole, financial investment in agricultural science and technology was positively correlated with agricultural economic growth, and its positive effect in underdeveloped south-west counties was significantly higher than that in developed north-east counties. The input of agricultural scientific and technological personnel only showed a positive effect on north-east counties, but not on south-west counties. The effects of other control variables on agricultural economic growth also showed some differences, in which the total power of agricultural machinery did not show a positive effect. Therefore, in the “double strong” action of strengthening agriculture through science and technology and machinery in the coming period, Zhejiang should continue to increase financial investment in agricultural science and technology and tilt to the south-west counties of Zhejiang, and actively optimize the allocation of agricultural science and technology personnel. In the south-west counties of Zhejiang Province, we should focus on optimizing the allocation of agricultural science and technology personnel to adapt to agricultural production. In the north-east counties of Zhejiang Province, we should focus on strengthening the introduction and training of agricultural science and technology personnel to build a strong agricultural science and technology team, Furthermore, the renewal of old agricultural machinery and equipment, as well as the development and promotion of new practical agricultural machinery and equipment should also be accelerated.

Key words: investment in agricultural science and technology, agricultural economic growth, panel data model, regional difference, strengthening agriculture through science and technology and machinery

中图分类号:

柯福艳, 徐知渊, 杨良山. 农业科技投入对农业经济增长的驱动影响研究——基于浙江省60个县的统计数据[J]. 浙江农业学报, 2022, 34(7): 1537-1544.

KE Fuyan, XU Zhiyuan, YANG Liangshan. Study on driving effects of agricultural science and technology investments on agricultural economic growth:based on the data of 60 counties in Zhejiang Province, China[J]. Acta Agriculturae Zhejiangensis, 2022, 34(7): 1537-1544.

图/表 2

参考文献 24

[1]	黄季焜. 中国农业发展与展望[J]. 管理评论, 2003, 15(1): 17-20.
	HUANG J K. China’s agricultural developments and outlook[J]. Management Review, 2003, 15(1): 17-20. (in Chinese with English abstract)
[2]	王丹, 杜旭, 郭翔宇. 中国省域农业科技创新能力评价与分析[J]. 科技管理研究, 2021, 41(1): 1-8.
	WANG D, DU X, GUO X Y. Capability evaluation and analysis of provincial agricultural science, technology and innovation[J]. Science and Technology Management Research, 2021, 41(1): 1-8. (in Chinese with English abstract)
[3]	ROMER P M. Increasing returns and long-Run growth[J]. Journal of Political Economy, 1986, 94(5): 1002-1037. DOI URL
[4]	LUCAS R E Jr. On the mechanics of economic development[J]. Journal of Monetary Economics, 1988, 22(1): 3-42. DOI URL
[5]	GRILICHES Z. Productivity, R&d, and Basic Research at the Firm Level in the 1970s[R]. National Bureau of Economic Research, 1985.
[6]	BECKER G S, MURPHY K M. The division of labor, coordination costs, and knowledge[J]. The Quarterly Journal of Economics, 1992, 107(4): 1137-1160. DOI URL
[7]	GUELLEC B. R&D and productivity growth: panel data analysis of 16 OECD countries[J]. OECD Economics Studies, 2001, (33): 103-126.
[8]	杨剑波. 1978—2003年我国农业科技投入和粮食产量关系的计量分析[J]. 科技管理研究, 2007, 27(5): 69-71.
	YANG J B. Econometric Analysis on the relationship between agricultural science and technology investment and grain output in China from 1978 to 2003[J]. Science and Technology Management Research, 2007, 27(5): 69-71. (in Chinese)
[9]	王建明. 中国农业科研投资与农业经济增长的互动关系研究[J]. 农业技术经济, 2009(1): 103-109.
	WANG J M. Study on the interactive relationship between China’s agricultural scientific research investment and agricultural economic growth[J]. Journal of Agrotechnical Economics, 2009(1): 103-109. (in Chinese)
[10]	梁平, 梁彭勇. 我国农业科技投入与农业经济增长关系的实证研究: 基于VAR模型的检验分析[J]. 贵州财经学院学报, 2007(2): 52-56.
	LIANG P, LIANG P Y. Investment in science and technology and economic growth: an empirical study of agriculture in China: a test based on VAR model[J]. Journal of Guizhou College of Finance and Economics, 2007(2): 52-56. (in Chinese with English abstract)
[11]	张红辉, 李伟. 农业科技投入与农业经济发展的动态关联机制分析[J]. 科技管理研究, 2013, 33(11): 149-151.
	ZHANG H H, LI W. Analysis of dynamic connection between spending on agricultural science & technology and development of China’s agricultural economy[J]. Science and Technology Management Research, 2013, 33(11): 149-151. (in Chinese with English abstract)
[12]	张淑辉, 陈建成. 农业科研投资与农业生产率增长关系的实证研究[J]. 云南财经大学学报, 2013, 29(5): 83-90.
	ZHANG S H, CHEN J C. An empirical study on the relationship between agricultural scientific research investment and agricultural productivity growth[J]. Journal of Yunnan University of Finance and Economics, 2013, 29(5): 83-90. (in Chinese with English abstract)
[13]	吴林海, 彭宇文. 农业科技投入与农业经济增长的动态关联性研究[J]. 农业技术经济, 2013(12): 87-93.
	WU L H, PENG Y W. Study on the dynamic correlation between agricultural science and technology investment and agricultural economic growth[J]. Journal of Agrotechnical Economics, 2013(12): 87-93. (in Chinese)
[14]	李兆亮, 罗小锋, 张俊飚, 等. 农业R&D投入、空间溢出与中国农业经济增长[J]. 科研管理, 2020, 41(9): 268-277.
	LI Z L, LUO X F, ZHANG J B, et al. Agricultural R & D investment, spatial spillover and agricultural economic growth in China[J]. Science Research Management, 2020, 41(9): 268-277. (in Chinese with English abstract)
[15]	邓翔, 王仕忠. 农业科技创新投入对农业经济增长影响研究[J]. 东岳论丛, 2020, 41(12): 109-120.
	DENG X, WANG S Z. Research on the impact of investment in agricultural science and technology innovation on agricultural economic growth[J]. Dongyue Tribune, 2020, 41(12): 109-120. (in Chinese with English abstract)
[16]	刘敦虎, 赖廷谦, 王卿. 农业科技投入与农业经济增长的动态关联关系研究: 基于四川省2000—2015年的经验数据[J]. 农村经济, 2017(10): 118-122.
	LIU D H, LAI T Q, WANG Q. The research on the dynamic correlation between agricultural science and technology input and agricultural economic growth is based on the empirical data of Sichuan province from 2000 to 2015[J]. Rural Economy, 2017(10): 118-122. (in Chinese)
[17]	吕屹云, 蔡晓琳. 农业科技投入、区域经济增长与农民收入关系研究: 以广东省4个区域为例[J]. 农业技术经济, 2020(4): 127-133.
	LYU Y Y, CAI X L. Research on the relation between AgriculturalScience and technology investment, regional economic growth and farmers’ income in Guangdong Province[J]. Journal of Agrotechnical Economics, 2020(4): 127-133. (in Chinese with English abstract)
[18]	高秀, 刘从九, 张鹏程. 山东省农业经济增长与投入要素动态关联分析[J]. 云南农业大学学报(社会科学), 2021, 15(4): 42-50.
	GAO X, LIU C J, ZHANG P C. Analysis of dynamic correlation between agricultural economic growth and input elements in Shandong Province[J]. Journal of Yunnan Agricultural University (Social Science), 2021, 15(4): 42-50. (in Chinese with English abstract)
[19]	黄龙俊江, 刘玲玉, 肖慧, 等. 农业科技创新、农业技术效率与农业经济发展: 基于向量自回归(VAR)模型的实证分析[J]. 科技管理研究, 2021, 41(12): 107-113.
	HUANG L, LIU L Y, XIAO H, et al. Scientific and technological innovation, technical efficiency and economic development of agricultural: empirical analysis based on VAR model[J]. Science and Technology Management Research, 2021, 41(12): 107-113. (in Chinese with English abstract)
[20]	于扬, 吴鸣然, 吴兆丹. 中国农业经济增长的动力分析[J]. 统计与决策, 2019, 35(16): 120-124.
	YU Y, WU M R, WU Z D. Analysis on impetus of China’s agricultural economic growth[J]. Statistics & Decision, 2019, 35(16): 120-124. (in Chinese with English abstract)
[21]	黄红光, 白彩全, 易行. 金融排斥、农业科技投入与农业经济发展[J]. 管理世界, 2018, 34(9): 67-78.
	HUANG H G, BAI C Q, YI X. Financial exclusion, agricultural science and technology investment and agricultural economic development[J]. Management World, 2018, 34(9): 67-78. (in Chinese)
[22]	薛超, 史雪阳, 周宏. 农业机械化对种植业全要素生产率提升的影响路径研究[J]. 农业技术经济, 2020(10): 87-102.
	XUE C, SHI X Y, ZHOU H. Influence path of agricultural mechanization on total factor productivity growth in planting industry[J]. Journal of Agrotechnical Economics, 2020(10): 87-102. (in Chinese with English abstract)
[23]	宋淑丽, 王新利. 新常态下我国农业经济增长动力影响分析: 基于1990—2015年黑龙江省统计数据[J]. 农业技术经济, 2017(7): 102-108.
	SONG S L, WANG X L. Analysis on the impact of China’s agricultural economic growth power under the new normal: Based on the statistical data of Heilongjiang Province from 1990 to 2015[J]. Journal of Agrotechnical Economics, 2017(7): 102-108. (in Chinese)
[24]	吴智豪, 党敬淇, 季晨. 农业机械化对粮食生产的空间溢出效应: 基于江苏省13个地级市的空间计量分析[J]. 中国农业大学学报, 2020, 25(12): 184-199.
	WU Z H, DANG J Q, JI C. Spatial spillover effect of agricultural mechanization on grain production: based on spatial econometric analysis of 13 cities in Jiangsu Province[J]. Journal of China Agricultural University, 2020, 25(12): 184-199. (in Chinese with English abstract)

检验类型 Test type	分区模型 Area model	检验统计量 Test statistics	自由度 Degrees of freedom	P值 P-value	结果 Results
似然比检验结果 Likelihood ratio test results	浙江总体 Total area	153.97	(59,234)	<0.000 1	存在个体效应 Exist individual effects
	浙东北 North-east area	32.17	(26,102)	<0.000 1	存在个体效应 Exist individual effects
	浙西南 South-west area	177.42	(32,126)	<0.000 1	存在个体效应 Exist individual effects
豪斯曼检验结果 Hausman test results	浙江总体 Total area	124.08	6	<0.000 1	固定效应模型 Fixed effects model
	浙东北 North-east area	44.12	6	<0.000 1	固定效应模型 Fixed effects model
	浙西南 South-west area	58.76	6	<0.000 1	固定效应模型 Fixed effects model

检验类型 Test type	分区模型 Area model	检验统计量 Test statistics	自由度 Degrees of freedom	P值 P-value	结果 Results
似然比检验结果 Likelihood ratio test results	浙江总体 Total area	153.97	(59,234)	<0.000 1	存在个体效应 Exist individual effects
	浙东北 North-east area	32.17	(26,102)	<0.000 1	存在个体效应 Exist individual effects
	浙西南 South-west area	177.42	(32,126)	<0.000 1	存在个体效应 Exist individual effects
豪斯曼检验结果 Hausman test results	浙江总体 Total area	124.08	6	<0.000 1	固定效应模型 Fixed effects model
	浙东北 North-east area	44.12	6	<0.000 1	固定效应模型 Fixed effects model
	浙西南 South-west area	58.76	6	<0.000 1	固定效应模型 Fixed effects model

模型类型 Types of models	变量 Variable	系数 Coefficient	标准误差 Standard error	t统计量 t-Statistic
总体Total area	c	2.71	0.37	7.27
	lg AgriFR_it	0.251	0.02	12.46^***
	lg AgriRS_it	-0.004	0.03	-0.12
	lg AgriLa_it	-0.029	0.04	-0.83
	lg AgriFM_it	-0.091	0.04	-2.43^**
	lg SACrop_it	0.198	0.05	3.78^***
	lg AgriIn_it	0.054	0.03	1.76^*
浙东北North-east area	c	2.756	0.55	5.01^***
	lg AgriFR_it	0.217	0.04	6.13^***
	lg AgriRS_it	0.106	0.06	1.83^*
	lg AgriLa_it	0.014	0.06	0.22
	lg AgriFM_it	-0.075	0.05	-1.46
	lg SACrop_it	0.201	0.08	2.38^***
	lg AgriIn_it	0.010	0.04	0.24
浙西南South-west area	c	1.624	0.58	2.79^***
	lg AgriFR_it	0.296	0.02	12.38^***
	lg AgriRS_it	-0.073	0.03	-2.28^**
	lg AgriLa_it	-0.047	0.04	-1.22
	lg AgriFM_it	-0.071	0.06	-1.27
	lg SACrop_it	0.140	0.07	2.12^***
	lg AgriIn_it	0.174	0.05	3.58^***

模型类型 Types of models	变量 Variable	系数 Coefficient	标准误差 Standard error	t统计量 t-Statistic
总体Total area	c	2.71	0.37	7.27
	lg AgriFR_it	0.251	0.02	12.46^***
	lg AgriRS_it	-0.004	0.03	-0.12
	lg AgriLa_it	-0.029	0.04	-0.83
	lg AgriFM_it	-0.091	0.04	-2.43^**
	lg SACrop_it	0.198	0.05	3.78^***
	lg AgriIn_it	0.054	0.03	1.76^*
浙东北North-east area	c	2.756	0.55	5.01^***
	lg AgriFR_it	0.217	0.04	6.13^***
	lg AgriRS_it	0.106	0.06	1.83^*
	lg AgriLa_it	0.014	0.06	0.22
	lg AgriFM_it	-0.075	0.05	-1.46
	lg SACrop_it	0.201	0.08	2.38^***
	lg AgriIn_it	0.010	0.04	0.24
浙西南South-west area	c	1.624	0.58	2.79^***
	lg AgriFR_it	0.296	0.02	12.38^***
	lg AgriRS_it	-0.073	0.03	-2.28^**
	lg AgriLa_it	-0.047	0.04	-1.22
	lg AgriFM_it	-0.071	0.06	-1.27
	lg SACrop_it	0.140	0.07	2.12^***
	lg AgriIn_it	0.174	0.05	3.58^***

农业科技投入对农业经济增长的驱动影响研究——基于浙江省60个县的统计数据

Study on driving effects of agricultural science and technology investments on agricultural economic growth:based on the data of 60 counties in Zhejiang Province, China

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[3]	庞红学*. 现代商贸流通发展对浙江农业经济增长影响的实证研究[J]. , 2013, 25(6): 0-1428.
[4]	周浩;李红. 基于面板数据模型的农机购置补贴政策分析[J]. , 2013, 25(6): 0-1455.