浙江农民收入结构优化、均衡增长的对策研究——基于县域数据的实证分析

doi:10.3969/j.issn.1004-1524.20230639

浙江农业学报 ›› 2023, Vol. 35 ›› Issue (11): 2742-2750.DOI: 10.3969/j.issn.1004-1524.20230639

• 农业经济与发展 • 上一篇

浙江农民收入结构优化、均衡增长的对策研究——基于县域数据的实证分析

孙永朋¹(), 徐萍¹, 毛文琳², 王美青¹^,^*(), 王宇晗¹

1.浙江省农业科学院农村发展研究所,浙江杭州 310021
2.中国计量大学经济与管理学院,浙江杭州310018

收稿日期:2023-05-18 出版日期:2023-11-25 发布日期:2023-12-04
作者简介:孙永朋(1979—),男,山东烟台人,博士,副研究员,主要从事农业农村发展政策和农民收入研究。E-mail:172626274@qq.com
通讯作者: * 王美青,E-mail:wmq7151@qq.com
基金资助:
浙江省科技厅软科学项目(2021C25G1751568)

Countermeasure of farmers' income structure optimization and balanced growth in Zhejiang, China: empirical analysis based on county data

SUN Yongpeng¹(), XU Ping¹, MAO Wenlin², WANG Meiqing¹^,^*(), WANG Yuhan¹

1. Institute of Rural Development, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
2. College of Economics and Management, China Jiliang University, Hangzhou 310018, China

Received:2023-05-18 Online:2023-11-25 Published:2023-12-04

摘要/Abstract

摘要：

农民收入是“三农”问题的关键与核心。本文从浙江省历年统计数据出发,通过统计性描述和计量模型构建,对浙江省县域水平上农民收入的动态趋势、结构变化、影响因素等进行系统分析。研究发现,浙江农民收入在经历了长期的高速增长后,呈现基数高、增速缓的特征,总体上出现“疲态”。因此,今后浙江农民收入的增长目标应集中在调结构、促均衡上。浙江省县域农民收入的非均衡性显著,但县域差距总体呈逐年下降趋势。提高经营净收入和转移净收入将显著促进区域间农民收入的均衡增长。经济密度对农民收入具有显著正向影响。此外,对农民收入有显著正向效应的因素还包括人均农业产值、固定资产投资水平、政策倾向水平。在此基础上,提出以区域经济为抓手、促进农民收入均衡增长,以制度创新为突破、促进农民收入结构优化,以创新创业为载体、激发农民收入增长活力的政策建议。

关键词: 农民收入, 收入结构, 均衡增长, 县域经济

Abstract:

Farmer's income is the key and core of issues of agriculture, farmer and rural area. Based on the statistical data of Zhejiang Province, China, the dynamic trend, structural changes and influencing factors of farmers' income at county level were systematically investigated through statistical description and econometric model construction. It was shown that after a long period of rapid growth, farmers' income in Zhejiang Province exhibited the characteristics of high base and slow growth, indicating a “fatigue state” in general. Thus, the growth target should be focused on adjusting structure and promoting equilibrium. The non-equilibrium of farmers' income at county level was significant in Zhejiang Procinve, but the gap within counties showed a decreasing trend year by year. Increasing the net operation income and transfer income would significantly promote the balanced growth of farmers' income within regions. Economic density had significant positive influence on farmer's income. Besides, per capita agricultural output value, fixed asset investment level, policy priorities also had significant positive influence on farmer's income. On the basis, countermeasures were put forward, such as taking the regional economy as the starting point to promote the balanced growth of farmers' income, promoting the optimization of farmers' income structure with institutional innovation as a breakthrough, stimulating the vitality of farmers' income growth with innovation and entrepreneurship as the carrier.

Key words: farmer's income, income structure, balanced growth, county economy

中图分类号:

S-9
F304.8

孙永朋, 徐萍, 毛文琳, 王美青, 王宇晗. 浙江农民收入结构优化、均衡增长的对策研究——基于县域数据的实证分析[J]. 浙江农业学报, 2023, 35(11): 2742-2750.

SUN Yongpeng, XU Ping, MAO Wenlin, WANG Meiqing, WANG Yuhan. Countermeasure of farmers' income structure optimization and balanced growth in Zhejiang, China: empirical analysis based on county data[J]. Acta Agriculturae Zhejiangensis, 2023, 35(11): 2742-2750.

图/表 4

参考文献 25

[1]	KUZNETS S. Economic growth and income inequality[J]. The American Economic Review, 1955, 45(1): 1-28.
[2]	SQUIRE L. Fighting poverty[J]. The American Economic Review, 1993, 83(2): 377-382.
[3]	Ravallion M, Chen S H. China's (uneven) progress against poverty[J]. Journal of Development Economics, 2007, 82(1): 1-42.
[4]	CICCONE A, HALL R E. Productivity and the density of economic activity[J]. The American Economic Review, 1996, 86(1): 54-70.
[5]	DEKLE R, EATON J. Agglomeration and land rents: evidence from the prefectures[J]. Journal of Urban Economics, 1999, 46(2): 200-214.
[6]	HENDERSON V, LEE T, LEE Y J. Scale externalities in Korea[J]. Journal of Urban Economics, 2001, 49(3): 479-504.
[7]	张荣天. 长三角农民收入时空分异及驱动机制分析[J]. 中国农业资源与区划, 2018, 39(10): 122-129.
	ZHANG R T. Farmers' income spatial-temporal differentiation and driving mechanism analysis in the Yangtze River Delta[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2018, 39(10): 122-129. (in Chinese with English abstract)
[8]	李晓龙, 郑威. 农民收入影响因素的理论、实证与对策[J]. 中国农业资源与区划, 2016, 37(5): 90-95.
	LI X L, ZHENG W. Review on the throry, empirical and countermeasures of farmers' income influence factors[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2016, 37(5): 90-95. (in Chinese with English abstract)
[9]	MARCH J G, HEATH C. A primer on decision making: how decisions happen[M]. New York: Free Press, 1994.
[10]	吴比, 尹燕飞, 徐雪高. 农民收入增长区域结构与空间效应: 基于农村固定观察点数据[J]. 农村经济, 2017(1): 60-66.
	WU B, YIN Y F, XU X G. Regional structure and spatial effect of farmers' income growth: based on the data of fixed observation points in rural areas[J]. Rural Economy, 2017(1): 60-66. (in Chinese)
[11]	黄祖辉, 陆建琴, 王敏. 城乡收入差距问题研究: 基于收入来源角度的分析[J]. 浙江大学学报(人文社会科学版), 2005, 35(4): 122-130.
	HUANG Z H, LU J Q, WANG M. The study of the rural-urban income inequality: a view from residents' income resource[J]. Journal of Zhejiang University(Humanities and Social Sciences), 2005, 35(4): 122-130. (in Chinese with English abstract)
[12]	万广华. 解释中国农村区域间的收入不平等: 一种基于回归方程的分解方法[J]. 经济研究, 2004, 39(8): 117-127.
	WAN G H. Accounting for income inequality in rual China: a regression based approach[J]. Economic Research Journal, 2004, 39(8): 117-127. (in Chinese with English abstract)
[13]	伍骏骞, 阮建青, 徐广彤. 经济集聚、经济距离与农民增收: 直接影响与空间溢出效应[J]. 经济学(季刊), 2017, 16(1): 297-320.
	WU J Q, RUAN J Q, XU G T. Economies agglomeration, economies distance, and farmer's income growth: a study on direct and spillover effects[J]. China Economic Quarterly, 2017, 16(1): 297-320. (in Chinese with English abstract)
[14]	姜会明, 孙雨, 王健, 等. 中国农民收入区域差异及影响因素分析[J]. 地理科学, 2017, 37(10): 1546-1551.
	JIANG H M, SUN Y, WANG J, et al. Regional differences of farmers' income in China and analysis of influencing factors[J]. Scientia Geographica Sinica, 2017, 37(10): 1546-1551. (in Chinese with English abstract)
[15]	李琪, 唐跃桓, 任小静. 电子商务发展、空间溢出与农民收入增长[J]. 农业技术经济, 2019(4): 119-131.
	LI Q, TANG Y H, REN X J. The development of E-commerce, spatial spillover effects and peasants' income growth[J]. Journal of Agrotechnical Economics, 2019(4): 119-131. (in Chinese with English abstract)
[16]	刘赛红, 朱建. 金融发展、城镇化与城乡居民收入差距关系实证[J]. 经济地理, 2017, 37(8): 46-52.
	LIU S H, ZHU J. Empirical study on the relationship among financial development, urbanization and urban & rural residents' income gap[J]. Economic Geography, 2017, 37(8): 46-52. (in Chinese with English abstract)
[17]	谢耄宜, 袁鹏举, 程艺萍, 等. 农村劳动力转移对地区收入差距的影响: 基于2006—2021年中国省级面板数据[J]. 经济地理, 2023, 43(3): 180-187.
	XIE M Y, YUAN P J, CHENG Y P, et al. The impact of rural labor transfer on regional income gap: based on China's provincial panel data from 2006 to 2021[J]. Economic Geography, 2023, 43(3): 180-187. (in Chinese with English abstract)
[18]	赵勇智, 罗尔呷, 李建平. 农业综合开发投资对农民收入的影响分析: 基于中国省级面板数据[J]. 中国农村经济, 2019(5): 22-37.
	ZHAO Y Z, LUO E G, LI J P. The impacts of the investment in the integrated agricultural development projects on rural household income: an analysis based on China's provincial panel data[J]. Chinese Rural Economy, 2019(5): 22-37. (in Chinese with English abstract)
[19]	李晓任, 李实. 我国农村地区收入不平等状况的新变化及其原因[J]. 中共中央党校学报, 2017, 21(5): 48-54.
	LI X R, LI S. The recent changes and reasons of income inequality in rural[J]. Journal of the Party School of the Central Committee of the CPC, 2017, 21(5): 48-54. (in Chinese with English abstract)
[20]	高梦滔, 姚洋. 农户收入差距的微观基础: 物质资本还是人力资本?[J]. 经济研究, 2006, 41(12): 71-80.
	GAO M T, YAO Y. Which is the main reason for income inequality in rural China: physical assets or human capital?[J]. Economic Research Journal, 2006, 41(12): 71-80. (in Chinese with English abstract)
[21]	程名望, JIN Y H, 盖庆恩, 等. 中国农户收入不平等及其决定因素: 基于微观农户数据的回归分解[J]. 经济学(季刊), 2016, 15(3): 1253-1274.
	CHENG M W, JIN Y H, GAI Q E, et al. Accounting for income inequality between households in rural China: a regression based approach[J]. China Economic Quarterly, 2016, 15(3): 1253-1274. (in Chinese with English abstract)
[22]	刘纯阳, 高启杰. 我国农民收入区域差异变动趋势分析: 兼析农村人力资本的区域差异及其对农民收入的影响[J]. 农业技术经济, 2004(2): 20-23.
	LIU C Y, GAO Q J. Analysis on the changing trend of regional difference of farmers' income in China: also on the regional difference of rural human capital and its influence on farmers' income[J]. Journal of Agrotechnical Economics, 2004(2): 20-23. (in Chinese)
[23]	全世文, 黄波. 中国农民收入可持续增长的长效路径分析[J]. 世界农业, 2018(1): 4-12.
	QUAN S W, HUANG B. Long-term path of Chinese farmers' income growth[J]. World Agriculture, 2018(1): 4-12. (in Chinese with English abstract)
[24]	SHORROCKS A F. Inequality decomposition by factor components[J]. Econometrica, 1982, 50(1): 193.
[25]	STARK O, TAYLOR J E, YITZHAKI S. Remittances and inequality[J]. The Economic Journal, 1986, 96(383): 722.

年份 Year	农民收入Farmers' income			经济密度Economic density
年份 Year	绝对值 Absolute value/yuan	基尼系数 Gini coefficient	泰尔指数 Theil index	基尼系数 Gini coefficient	泰尔指数 Theil index
2005	6 216.79	0.174 32	0.048 31	0.527 99	0.467 98
2006	6 666.19	0.170 22	0.046 16	0.528 44	0.468 68
2007	7 689.39	0.170 24	0.046 44	0.551 19	0.532 39
2008	8 582.95	0.170 25	0.046 19	0.527 07	0.465 19
2009	9 957.26	0.168 44	0.045 05	0.522 30	0.456 01
2010	10 739.63	0.167 96	0.044 66	0.537 36	0.496 73
2011	12 319.83	0.166 02	0.043 44	0.532 65	0.486 43
2012	14 247.58	0.165 29	0.043 07	0.528 95	0.478 51
2013	15 673.96	0.152 20	0.035 67	0.529 13	0.479 23
2014	19 400.26	0.155 55	0.036 99	0.527 87	0.476 62
2015	21 737.19	0.151 53	0.035 15	0.527 29	0.476 73
2016	23 167.98	0.148 52	0.033 80	0.525 42	0.473 02
2017	25 469.95	0.146 75	0.033 07	0.526 38	0.471 98
2018	27 486.28	0.123 40	0.024 89	0.500 49	0.414 87
2019	30 074.82	0.121 95	0.024 31	0.530 70	—
2020	32 181.62	0.112 26	0.033 57	0.500 88	—
2021	34 882.36	0.112 88	0.032 02	0.500 87	—

年份 Year	农民收入Farmers' income			经济密度Economic density
年份 Year	绝对值 Absolute value/yuan	基尼系数 Gini coefficient	泰尔指数 Theil index	基尼系数 Gini coefficient	泰尔指数 Theil index
2005	6 216.79	0.174 32	0.048 31	0.527 99	0.467 98
2006	6 666.19	0.170 22	0.046 16	0.528 44	0.468 68
2007	7 689.39	0.170 24	0.046 44	0.551 19	0.532 39
2008	8 582.95	0.170 25	0.046 19	0.527 07	0.465 19
2009	9 957.26	0.168 44	0.045 05	0.522 30	0.456 01
2010	10 739.63	0.167 96	0.044 66	0.537 36	0.496 73
2011	12 319.83	0.166 02	0.043 44	0.532 65	0.486 43
2012	14 247.58	0.165 29	0.043 07	0.528 95	0.478 51
2013	15 673.96	0.152 20	0.035 67	0.529 13	0.479 23
2014	19 400.26	0.155 55	0.036 99	0.527 87	0.476 62
2015	21 737.19	0.151 53	0.035 15	0.527 29	0.476 73
2016	23 167.98	0.148 52	0.033 80	0.525 42	0.473 02
2017	25 469.95	0.146 75	0.033 07	0.526 38	0.471 98
2018	27 486.28	0.123 40	0.024 89	0.500 49	0.414 87
2019	30 074.82	0.121 95	0.024 31	0.530 70	—
2020	32 181.62	0.112 26	0.033 57	0.500 88	—
2021	34 882.36	0.112 88	0.032 02	0.500 87	—

年份Year	收入来源Source of income	S_k	G_k	R_k	S_kG_kR_k/G	ε_k
2013	工资性收入Wage income	0.575	0.217	0.932	0.715	0.140
	经营净收入Operation income	0.290	0.181	0.434	0.140	-0.150
	财产净收入Property income	0.034	0.453	0.797	0.076	0.042
	转移净收入Transfer income	0.101	0.317	0.385	0.076	-0.025
2014	工资性收入Wage income	0.588	0.221	0.930	0.769	0.182
	经营净收入Operation income	0.278	0.190	0.415	0.140	-0.139
	财产净收入Property income	0.037	0.468	0.762	0.085	0.048
	转移净收入Transfer income	0.099	0.297	0.066	0.012	-0.087
2015	工资性收入Wage income	0.585	0.216	0.926	0.764	0.178
	经营净收入Operation income	0.276	0.186	0.406	0.136	-0.140
	财产净收入Property income	0.038	0.458	0.766	0.086	0.048
	转移净收入Transfer income	0.102	0.299	0.098	0.019	-0.082
2016	工资性收入Wage income	0.584	0.211	0.923	0.758	0.174
	经营净收入Operation income	0.271	0.186	0.388	0.130	-0.141
	财产净收入Property income	0.038	0.452	0.748	0.086	0.048
	转移净收入Transfer income	0.107	0.295	0.125	0.026	-0.081
2017	工资性收入Wage income	0.582	0.206	0.920	0.749	0.167
	经营净收入Operation income	0.271	0.191	0.401	0.141	-0.131
	财产净收入Property income	0.037	0.446	0.752	0.083	0.047
	转移净收入Transfer income	0.110	0.289	0.128	0.028	-0.083
2018	工资性收入Wage income	0.587	0.180	0.854	0.708	0.128
	经营净收入Operation income	0.153	0.191	0.344	0.138	-0.128
	财产净收入Property income	0.207	0.406	0.701	0.088	0.049
	转移净收入Transfer income	0.062	0.333	0.224	0.068	-0.047
2019	工资性收入Wage income	0.586	0.166	0.864	0.683	0.097
	经营净收入Operation income	0.267	0.183	0.359	0.142	-0.125
	财产净收入Property income	0.038	0.412	0.717	0.091	0.053
	转移净收入Transfer income	0.109	0.311	0.305	0.084	-0.025
2020	工资性收入Wage income	0.611	0.097	0.842	0.444	0.090
	经营净收入Operation income	0.238	0.089	0.400	0.076	-0.110
	财产净收入Property income	0.030	0.122	0.595	0.019	0.051
	转移净收入Transfer income	0.198	0.142	0.253	0.063	-0.026
2021	工资性收入Wage income	0.608	0.114	0.878	0.539	0.091
	经营净收入Operation income	0.242	0.104	0.535	0.119	-0.181
	财产净收入Property income	0.031	0.139	0.687	0.026	0.047
	转移净收入Transfer income	0.196	0.160	0.412	0.115	-0.033

年份Year	收入来源Source of income	S_k	G_k	R_k	S_kG_kR_k/G	ε_k
2013	工资性收入Wage income	0.575	0.217	0.932	0.715	0.140
	经营净收入Operation income	0.290	0.181	0.434	0.140	-0.150
	财产净收入Property income	0.034	0.453	0.797	0.076	0.042
	转移净收入Transfer income	0.101	0.317	0.385	0.076	-0.025
2014	工资性收入Wage income	0.588	0.221	0.930	0.769	0.182
	经营净收入Operation income	0.278	0.190	0.415	0.140	-0.139
	财产净收入Property income	0.037	0.468	0.762	0.085	0.048
	转移净收入Transfer income	0.099	0.297	0.066	0.012	-0.087
2015	工资性收入Wage income	0.585	0.216	0.926	0.764	0.178
	经营净收入Operation income	0.276	0.186	0.406	0.136	-0.140
	财产净收入Property income	0.038	0.458	0.766	0.086	0.048
	转移净收入Transfer income	0.102	0.299	0.098	0.019	-0.082
2016	工资性收入Wage income	0.584	0.211	0.923	0.758	0.174
	经营净收入Operation income	0.271	0.186	0.388	0.130	-0.141
	财产净收入Property income	0.038	0.452	0.748	0.086	0.048
	转移净收入Transfer income	0.107	0.295	0.125	0.026	-0.081
2017	工资性收入Wage income	0.582	0.206	0.920	0.749	0.167
	经营净收入Operation income	0.271	0.191	0.401	0.141	-0.131
	财产净收入Property income	0.037	0.446	0.752	0.083	0.047
	转移净收入Transfer income	0.110	0.289	0.128	0.028	-0.083
2018	工资性收入Wage income	0.587	0.180	0.854	0.708	0.128
	经营净收入Operation income	0.153	0.191	0.344	0.138	-0.128
	财产净收入Property income	0.207	0.406	0.701	0.088	0.049
	转移净收入Transfer income	0.062	0.333	0.224	0.068	-0.047
2019	工资性收入Wage income	0.586	0.166	0.864	0.683	0.097
	经营净收入Operation income	0.267	0.183	0.359	0.142	-0.125
	财产净收入Property income	0.038	0.412	0.717	0.091	0.053
	转移净收入Transfer income	0.109	0.311	0.305	0.084	-0.025
2020	工资性收入Wage income	0.611	0.097	0.842	0.444	0.090
	经营净收入Operation income	0.238	0.089	0.400	0.076	-0.110
	财产净收入Property income	0.030	0.122	0.595	0.019	0.051
	转移净收入Transfer income	0.198	0.142	0.253	0.063	-0.026
2021	工资性收入Wage income	0.608	0.114	0.878	0.539	0.091
	经营净收入Operation income	0.242	0.104	0.535	0.119	-0.181
	财产净收入Property income	0.031	0.139	0.687	0.026	0.047
	转移净收入Transfer income	0.196	0.160	0.412	0.115	-0.033

指标 Index	模型1 Model 1	模型2 Model 2	模型3 Model3
lnE	0.073 7^***	0.589 0^***	—
	(0.010 2)	(0.029 3)	—
lnB	-0.003 2	-0.024 2^***	-0.000 6
	(0.002 8)	(0.002 9)	(0.009 0)
lnA	0.038 1^**	0.058 4^**	0.055 6
	(0.017 7)	(0.028 1)	(0.071 8)
lnI	0.277 0^***	0.114 0^***	0.293 0^***
	(0.017 3)	(0.015 2)	(0.048 9)
lnP	0.278 0^***	0.245 0^***	0.277 0^***
	(0.014 2)	(0.018 8)	(0.040 9)
截距项	5.234 0^***	4.877 0^***	—
Intercept term	(0.303 0)	(0.308 0)	—
n	847	847	847
R²	0.86	0.96	0.72

浙江农民收入结构优化、均衡增长的对策研究——基于县域数据的实证分析

Countermeasure of farmers' income structure optimization and balanced growth in Zhejiang, China: empirical analysis based on county data

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 4

参考文献 25

相关文章 6

编辑推荐

Metrics

本文评价

[1]	高康, 何蒲明. 农业保险能保障农民收入吗?——基于情景依赖下的保险失效与有效研究[J]. 浙江农业学报, 2022, 34(10): 2296-2309.
[2]	王丽英, 丁姝羽, 刘后平. 农村产业融合与农民收入增长——基于空间效应与门槛效应的实证研究[J]. 浙江农业学报, 2021, 33(4): 761-776.
[3]	张莉;曲玮;*;王生林. 西北干旱地区农民收入差异实证分析[J]. , 2013, 25(3): 0-666.
[4]	许连君. 浙江农村劳动力教育与农民增收的相关性分析[J]. , 2013, 25(3): 0-683.
[5]	黄艳娴. 欠发达地区农民收入结构变动对收入影响的量化分析[J]. , 2012, 24(6): 0-1153.
[6]	王丽娟;胡豹;*;刘玉;李裕瑞;曹军;唐晓璐. 近30年浙江省县域经济空间格局的动态研究[J]. , 2011, 23(4): 0-839.