Acta Agriculturae Zhejiangensis ›› 2022, Vol. 34 ›› Issue (7): 1537-1544.DOI: 10.3969/j.issn.1004-1524.2022.07.22
• Agricultural Economy and Development • Previous Articles Next Articles
KE Fuyan(), XU Zhiyuan, YANG Liangshan
Received:
2021-09-08
Online:
2022-07-25
Published:
2022-07-26
CLC Number:
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.
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.zjnyxb.cn/EN/10.3969/j.issn.1004-1524.2022.07.22
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 |
Table 1 Likelihood ratio test and Hausmann test results
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 AgriFRit | 0.251 | 0.02 | 12.46*** | |
lg AgriRSit | -0.004 | 0.03 | -0.12 | |
lg AgriLait | -0.029 | 0.04 | -0.83 | |
lg AgriFMit | -0.091 | 0.04 | -2.43** | |
lg SACropit | 0.198 | 0.05 | 3.78*** | |
lg AgriInit | 0.054 | 0.03 | 1.76* | |
浙东北North-east area | c | 2.756 | 0.55 | 5.01*** |
lg AgriFRit | 0.217 | 0.04 | 6.13*** | |
lg AgriRSit | 0.106 | 0.06 | 1.83* | |
lg AgriLait | 0.014 | 0.06 | 0.22 | |
lg AgriFMit | -0.075 | 0.05 | -1.46 | |
lg SACropit | 0.201 | 0.08 | 2.38*** | |
lg AgriInit | 0.010 | 0.04 | 0.24 | |
浙西南South-west area | c | 1.624 | 0.58 | 2.79*** |
lg AgriFRit | 0.296 | 0.02 | 12.38*** | |
lg AgriRSit | -0.073 | 0.03 | -2.28** | |
lg AgriLait | -0.047 | 0.04 | -1.22 | |
lg AgriFMit | -0.071 | 0.06 | -1.27 | |
lg SACropit | 0.140 | 0.07 | 2.12*** | |
lg AgriInit | 0.174 | 0.05 | 3.58*** |
Table 2 Regression results of three models in the total area, north-east area and south-west area
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 AgriFRit | 0.251 | 0.02 | 12.46*** | |
lg AgriRSit | -0.004 | 0.03 | -0.12 | |
lg AgriLait | -0.029 | 0.04 | -0.83 | |
lg AgriFMit | -0.091 | 0.04 | -2.43** | |
lg SACropit | 0.198 | 0.05 | 3.78*** | |
lg AgriInit | 0.054 | 0.03 | 1.76* | |
浙东北North-east area | c | 2.756 | 0.55 | 5.01*** |
lg AgriFRit | 0.217 | 0.04 | 6.13*** | |
lg AgriRSit | 0.106 | 0.06 | 1.83* | |
lg AgriLait | 0.014 | 0.06 | 0.22 | |
lg AgriFMit | -0.075 | 0.05 | -1.46 | |
lg SACropit | 0.201 | 0.08 | 2.38*** | |
lg AgriInit | 0.010 | 0.04 | 0.24 | |
浙西南South-west area | c | 1.624 | 0.58 | 2.79*** |
lg AgriFRit | 0.296 | 0.02 | 12.38*** | |
lg AgriRSit | -0.073 | 0.03 | -2.28** | |
lg AgriLait | -0.047 | 0.04 | -1.22 | |
lg AgriFMit | -0.071 | 0.06 | -1.27 | |
lg SACropit | 0.140 | 0.07 | 2.12*** | |
lg AgriInit | 0.174 | 0.05 | 3.58*** |
[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) |
[1] | HU Chenpei, LI Huishang, GUO Xinzhu. Structural characteristics and development gap of regional agricultural economy in China from 1978 to 2017 [J]. Acta Agriculturae Zhejiangensis, 2020, 32(12): 2253-2260. |
[2] | LI Jing\|suoa, WANG Xiao\|leib, MU Shao\|yana,*. Empirical study on the relationship between investment plan in agricultural science and technology and agricultural economic growth: Taking Qingdao City as an example [J]. , 2015, 27(7): 1288-. |
[3] | CUI Kai, LI Ning\|hui, GUO Jing\|li*. Analysis on spatial effect, output elasticity and technical discrepancy of agricultural production: An example from Beijing and Tianjin counties [J]. , 2015, 27(12): 2240-. |
[4] | PANG Hong\|xue. Empirical study on effect of modern distribution development on Zhejiang agricultural economic growth [J]. , 2013, 25(6): 0-1428. |
[5] | ZHOU Hao;LI Hong. Analysis on the allowance for purchasing agricultural machinery based on the panel data model [J]. , 2013, 25(6): 0-1455. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||