地理标志农产品和农业经济的时空演变及交互响应

doi:10.13249/j.cnki.sgs.2022.09.007

地理科学 ›› 2022, Vol. 42 ›› Issue (9): 1577-1587.doi: 10.13249/j.cnki.sgs.2022.09.007

地理标志农产品和农业经济的时空演变及交互响应

谢永顺¹^,²(), 王成金¹^,²(), 吴爱玲³

1.中国科学院地理科学与资源研究所，北京 100101
2.中国科学院大学资源与环境学院，北京 100049
3.对外经济贸易大学国际经济贸易学院，北京 100029

收稿日期:2021-01-12 修回日期:2021-08-26 出版日期:2022-09-10 发布日期:2022-11-14
通讯作者: 王成金 E-mail:ysxiee@163.com;cjwang@igsnrr.ac.cn
作者简介:谢永顺（1994−），男，河北石家庄人，博士研究生，主要从事经济地理与区域发展研究。E-mail: ysxiee@163.com
基金资助:
中国科学院战略性先导项目(XDA28060300);国家自然科学基金面上项目(42071151)

Spatio-temporal Evolution and Interactive Effects of Geographical Indication Agricultural Products and Agricultural Economy

Xie Yongshun¹^,²(), Wang Chengjin¹^,²(), Wu Ailing³

1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
3. School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China

Received:2021-01-12 Revised:2021-08-26 Online:2022-09-10 Published:2022-11-14
Contact: Wang Chengjin E-mail:ysxiee@163.com;cjwang@igsnrr.ac.cn
Supported by:
Strategic Priority Research Program of the Chinese Academy of Sciences(XDA28060300);National Natural Science Foundation of China(42071151)

摘要/Abstract

摘要：

利用多指标综合评价法、协调发展度模型、灰色关联度模型和P-VAR模型对中国326个地级以上行政单元的地理标志农产品与农业经济的时空演化、协同发展、交互响应关系进行了综合测度。研究表明：① 地理标志农产品和农业经济发展水平均具有整体上升态势，在空间上分别呈“大分散、小集聚”和“阶梯式下降”的分布特征。② 地理标志农产品和农业经济的协调发展等级由初级协调演化为高级协调，空间差异先增大后减小；二者间具有显著的、持续强化的关联性。③ 地理标志农产品和农业经济均具有正向的自我强化与惯性增长特征，地理标志农产品对农业经济的影响程度较小，而农业经济对地理标志农产品的影响程度较大，形成倒逼作用。

关键词: 地理标志农产品, 农业经济, 交互响应, P-VAR模型

Abstract:

Taking 326 administrative units at prefecture level in China in 2008-2018 as cases, this article comprehensively measures spatial-temporal evolution, dynamic coordinated, and interactive response relationships between geographical indication agricultural products and agricultural economy in China by using multi-index comprehensive evaluation method, coordinated development degree model, grey correlation degree model, and P-VAR model. The results are shown as follows: 1) The development level of geographical indication agricultural products and agricultural economy showed an overall upward trend. In terms of space, geographical indication agricultural products dispersed over an extensive area with localized concentrations, while agricultural economy showed the distribution characteristics of declining from coastal to inland. 2) The level of coordinated development of geographical indication agricultural products and agricultural economy increases with time, from primary coordination to high-level coordination, and the spatial differences have experienced the process of first increasing and then decreasing; there is a significant correlation between geographical indication agricultural products and agricultural economy, and the correlation has the characteristics of continuous strengthening. 3) Geographical indication agricultural products and agricultural economy have the characteristics of self-reinforcement and inertia growth; The influence of geographical indication agricultural products on agricultural economy is small, while the influence of agricultural economy on geographical indication agricultural products is great, which has a reverse forcing mechanism.

Key words: geographical indication agricultural products, agricultural economy, interactive response, P-VAR model

中图分类号:

F129.9

谢永顺, 王成金, 吴爱玲. 地理标志农产品和农业经济的时空演变及交互响应[J]. 地理科学, 2022, 42(9): 1577-1587.

Xie Yongshun, Wang Chengjin, Wu Ailing. Spatio-temporal Evolution and Interactive Effects of Geographical Indication Agricultural Products and Agricultural Economy[J]. SCIENTIA GEOGRAPHICA SINICA, 2022, 42(9): 1577-1587.

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目标层	要素层	指标层	指标含义	单位	参考文献	权重
农业经济发展水平AE	农业经济总量	农业生产总值	农林牧渔总产值	万元	[25,26]	0.2232
		农业从业人员	农业从业人员	人	[27,28]	0.0409
		农业投资规模	农业投资额	万元	[26,25]	0.0910
	农业经济结构	农业总产值比重	农林牧渔总产值/GDP	%	[26]	0.0718
	农业经济结构	农业比较生产率	农业产值比重/农业从业人员比重	%	[26]	0.0541
	农业经济效益	农民人均纯收入	农村居民纯收入	元/人	[25,27,28]	0.1965
		农业劳动生产率	农业总产值/农业从业人员	元/人	[25~27]	0.1018
		农业土地生产率	农业总产值/农用地面积	元/hm²	[26~28]	0.1209
		农业投资收益率	农业总产值/农业投资额	%	[25]	0.0998

滞后期数	以lnAE为被解释变量		以lnGI为被解释变量
滞后期数	以lnAE为解释变量	以lnGI为解释变量	以lnAE为解释变量	以lnGI为解释变量
注：^*、^和^*分别表示在1%、5%和10%水平上显著；括号内数值代表Z值检验结果；样本数量=1956；未含港澳台数据。
1期	0.075 (0.0599)	0.003 (0.003)	33.510 (4.545)^***	0.156 (0.0328)^***
2期	0.301 (0.0259)^***	−0.002 (0.002)	17.841 (5.079)^***	0.223 (0.0408)^***
3期	0.275 (0.0327)^***	0.003 (0.002)	4.381 (3.048)	0.093 (0.0265)^***
4期	0.182 (0.0419)^***	0.004 (0.003) ^*	10.040 (4.393)^**	−0.066 (0.0251)^***

作者	研究区域	研究方法	农业经济变量	研究方向	研究结论
刘华军^[13]	全国	品牌溢出效应模型	农业总产值/ 农民收入	GI→AE	地理标志农产品通过降低选择成本，提高销售价格，增加销售利润，从而对农业经济起到明显促进作用
王弘儒^[35]	全国	地理加权回归	第一产业增加值	GI→AE	地理标志农产品有利于提升产品知名度、市场竞争力，促进农业经济结构的优化升级，从而带动农业经济增长。
廖翼^[21]	全国	空间杜宾模型	农村居民人均可支配收入	GI→AE	地理标志农产品通过品牌溢价、诱发农业产业集聚、带动关联产业发展等促进本地区农民收入增长
姜飞^[20]	安徽	回归分析模型	农林牧渔总产值/ 农村居民人均纯收入	GI→AE	地理标志农产品对当地农村居民人均纯收入和农林牧渔总产值均具有正向影响
王腾飞^[23]	浙江	主成分分析	农林牧渔总产值/ 第一产业投资额	AE→GI	区域农业产业的发展水平与投入水平越高，拥有的地理标志产品数量也越多
本文	全国	P-VAR模型	农业经济发展综合指标体系	GI↔AE	农业经济发展水平的提升可以促进地理标志农产品的发展，但地理标志农产品的增加则难以拉动农业经济发展水平的提升

地理标志农产品和农业经济的时空演变及交互响应

Spatio-temporal Evolution and Interactive Effects of Geographical Indication Agricultural Products and Agricultural Economy

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