基于资产专用性理论的农户土地流转行为研究

doi:10.3969/j.issn.1004-1524.20230562

浙江农业学报 ›› 2024, Vol. 36 ›› Issue (10): 2379-2390.DOI: 10.3969/j.issn.1004-1524.20230562

基于资产专用性理论的农户土地流转行为研究

于伟咏(), 赵飞^*(), 陈悦

贵州财经大学 a. 经济学院;b. 管理科学与工程学院,贵州贵阳 520025

收稿日期:2023-05-03 出版日期:2024-10-25 发布日期:2024-10-30
作者简介:于伟咏(1989—),男,河南三门峡人,博士,副教授,研究方向为农林经济。E-mail: 726707807@qq.com
通讯作者: ^*赵飞,E-mail: 1583911556@qq.com
基金资助:
贵州财经大学引进人才科研启动项目(2018YJ45);贵州财经大学研究生项目(2022ZXSY125)

A study of farmers’ land transfer behavior based on asset specificity theory

YU Weiyong(), ZHAO Fei^*(), CHEN Yue

School of Economics; b. School of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang 520025, China

Received:2023-05-03 Online:2024-10-25 Published:2024-10-30

摘要/Abstract

摘要：

为探究资产专用性对农户土地转出意愿、行为和意愿行为偏差的影响,基于贵州省普定县3镇274户的实地调研数据,构建Logistic模型进行实证分析。研究表明:农户的土地转出意愿和行为间存在偏差。资产专用性越强,土地转出意愿和行为越弱。人力资本专用性中的种植年限、每年参加培训次数、农业生产管理能力对转出意愿具有显著影响,其中,种植年限的影响方向为正,其余两者为负;种植年限和务农劳动占比分别对转出行为具有显著的正向和负向影响。土地资产专用性中的灌溉条件、地块平均面积对转出意愿具有显著负向影响,土壤肥沃程度和灌溉条件分别对转出行为具有显著的负向和正向影响。表征实物资产专用性的农机价值对转出意愿和转出行为均具有显著负向影响。地理位置资产专用性中的交通条件、村委会到县城的距离对转出意愿分别具有显著的负向和正向影响,村委会到县城的距离对转出行为具有显著负向影响。资产专用性对农户土地转出意愿行为偏差的总体影响较大。为强化资产专用性对农户土地流转的作用,提出如下对策建议:1)多渠道盘活人力资本专用性资产;2)充分发挥土地资源禀赋优势;3)提升现代农业社会化服务能力;4)优化交通条件,提高信息获得能力;5)健全土地流转配套支持政策。

关键词: 资产专用性, 土地流转, 意愿, 行为

Abstract:

In order to clarify the impact of asset specificity on households’ land transfer willingness, behavior, and deviation between willingness and behavior, an empical test was carried out by constructing a Logistic model based on the field research data of 274 households in three towns of Puding County, Guizhou Province, China. It was shown that there was deviation between the willingness and behavior of households’ land transfer. The stronger the asset specificity, the weaker the willingness and behavior of land transfer. For the human capital specificity, the planting years had significantly positive influence on the willingness of land transfer, while the number of trainings participated per year, the agricultural production management capacity had significantly negative influence; the planting years and the percentage of labor in agriculture exhibited signifiantly positive and negative effects on the behavior of land transfer, respectively. In terms of land asset specificity, the irrigatino conditions and the average size of plots had significantly negative effects on the willingness of land transfer, yet the soil fertility and the irrigation conditions showed significanlty negative and positive influence on the behavior of land transfer, respectively. The value of agricultural machinery, which was used to represent the physical asset specificity, significanlty negatively affected the willingness and behavior of land transfer. For the geographic location asset specificity, the transport conditions and the distance from village to county towns had significantly negative and positive influence on the willingess of land transfer, respectively, while the distance from village to county towns had significantly negative effect on the behavior of land transfer. The overall impact of asset specificity on the deviation of farmers’ land transfer willingness and behavior was large. In order to strengthen the positive role of asset specificity on the land transfer, the following countermeasures were proposed: 1) revitalize human capital specificity through multiple channels; 2) give full play to the advantages of land resource endowment; 3) enhance the capacity of modern agricultural socialization services; 4) optimize the transportation conditions to improve the famers’ ability to obtain information; 5) improve the supporting policies for land transfer.

Key words: asset specificity, land transfer, willingness, behavior

中图分类号:

F301

于伟咏, 赵飞, 陈悦. 基于资产专用性理论的农户土地流转行为研究[J]. 浙江农业学报, 2024, 36(10): 2379-2390.

YU Weiyong, ZHAO Fei, CHEN Yue. A study of farmers’ land transfer behavior based on asset specificity theory[J]. Acta Agriculturae Zhejiangensis, 2024, 36(10): 2379-2390.

图/表 4

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变量 Variable	变量符号 Variable symbol	变量说明 Variable description		平均值 Mean	标准偏差 Standard deviation	预期影响 Expected impact
土地转出意愿 Willingness of land transfer	Y₁	1,愿意;0,不愿意 1, Willing; 0, Unwilling		0.53	0.50	—
土地转出行为 Land transfer behavior	Y₂	1,转出土地;0,不转出土地 1, Land transferred; 0, No land transferred		0.34	0.48	—
种植年限 Planting years/a	X₁	连续变量 Continuous variable		28.69	14.46	-
每年参加培训的次数 Number of trainings participated per year	X₂	连续变量 Continuous variable		0.27	0.911	-
农业生产管理能力 Agricultural production management capacity	X₃	1,很差;2,比较差;3,一般;4,比较好;5,很好 1, Very poor; 2, Poor; 3, Fair; 4, Good; 5, Very good		3.17	0.97	-
务农劳动占比 Percentage of labor in agriculture	X₄	连续变量 Continuous variable		0.58	0.36	-
土壤肥沃度 Soil fertility	X₅	1,很差;2,比较差;3,一般;4,比较好;5,很好 1, Very poor; 2, Poor; 3, Fair; 4, Good; 5, Very good		3.33	0.96	-
灌溉条件 Irrigation conditions	X₆	1,很差;2,比较差;3,一般;4,比较好;5,很好 1, Very poor; 2, Poor; 3, Fair; 4, Good; 5, Very good		3.24	1.09	-
地块平均面积 Average size of plots/hm²	X₇	连续变量 Continuous variable		0.03	0.08	-
最大地块面积 Maximum size of plot/hm²	X₈	连续变量 Continuous variable		0.09	0.10	-
农机价值 Value of agricultural machinery/(10⁴yuan)	X₉	连续变量 Continuous variable		0.46	1.18	-
交通条件 Transport conditions	X₁₀	1,很差;2,比较差;3,一般;4,比较好;5,很好 1, Very poor; 2, Poor; 3, Fair; 4, Good; 5, Very good		3.59	0.92	-
村委会到县城的距离 Distance from village to county towns/km	X₁₁	连续变量 Continuous variable	22.09		13.67	-
村委会到乡镇的距离 Distance from village to township/km	X₁₂	连续变量 Continuous variable	3.49		1.81	±
户主受教育年限 Years of education of household head/a	X₁₃	连续变量 Continuous variable	6.89		3.41	+
家中有无村干部 Presence of village officials at home	X₁₄	1,是;0,否 1, Yes; 0, No	0.18		0.38	+
农业生产面积Agricultural production area/hm²	X₁₅	连续变量Continuous variable	0.60		2.05	+
户主年龄Age of household head/a	X₁₆	连续变量Continuous variable	51.58		11.53	+

变量 Variable	变量符号 Variable symbol	变量说明 Variable description		平均值 Mean	标准偏差 Standard deviation	预期影响 Expected impact
土地转出意愿 Willingness of land transfer	Y₁	1,愿意;0,不愿意 1, Willing; 0, Unwilling		0.53	0.50	—
土地转出行为 Land transfer behavior	Y₂	1,转出土地;0,不转出土地 1, Land transferred; 0, No land transferred		0.34	0.48	—
种植年限 Planting years/a	X₁	连续变量 Continuous variable		28.69	14.46	-
每年参加培训的次数 Number of trainings participated per year	X₂	连续变量 Continuous variable		0.27	0.911	-
农业生产管理能力 Agricultural production management capacity	X₃	1,很差;2,比较差;3,一般;4,比较好;5,很好 1, Very poor; 2, Poor; 3, Fair; 4, Good; 5, Very good		3.17	0.97	-
务农劳动占比 Percentage of labor in agriculture	X₄	连续变量 Continuous variable		0.58	0.36	-
土壤肥沃度 Soil fertility	X₅	1,很差;2,比较差;3,一般;4,比较好;5,很好 1, Very poor; 2, Poor; 3, Fair; 4, Good; 5, Very good		3.33	0.96	-
灌溉条件 Irrigation conditions	X₆	1,很差;2,比较差;3,一般;4,比较好;5,很好 1, Very poor; 2, Poor; 3, Fair; 4, Good; 5, Very good		3.24	1.09	-
地块平均面积 Average size of plots/hm²	X₇	连续变量 Continuous variable		0.03	0.08	-
最大地块面积 Maximum size of plot/hm²	X₈	连续变量 Continuous variable		0.09	0.10	-
农机价值 Value of agricultural machinery/(10⁴yuan)	X₉	连续变量 Continuous variable		0.46	1.18	-
交通条件 Transport conditions	X₁₀	1,很差;2,比较差;3,一般;4,比较好;5,很好 1, Very poor; 2, Poor; 3, Fair; 4, Good; 5, Very good		3.59	0.92	-
村委会到县城的距离 Distance from village to county towns/km	X₁₁	连续变量 Continuous variable	22.09		13.67	-
村委会到乡镇的距离 Distance from village to township/km	X₁₂	连续变量 Continuous variable	3.49		1.81	±
户主受教育年限 Years of education of household head/a	X₁₃	连续变量 Continuous variable	6.89		3.41	+
家中有无村干部 Presence of village officials at home	X₁₄	1,是;0,否 1, Yes; 0, No	0.18		0.38	+
农业生产面积Agricultural production area/hm²	X₁₅	连续变量Continuous variable	0.60		2.05	+
户主年龄Age of household head/a	X₁₆	连续变量Continuous variable	51.58		11.53	+

变量 Variable	模型1的结果Results of Model 1		模型2的结果Results of Model 2		模型3的回归系数 Regression coeeficent of Model 3	模型4的回归系数 Regression coeeficent of Model 4
变量 Variable	回归系数 Regression coeeficent	优势比 Ods ratio	回归系数 Regression coeeficent	优势比 Ods ratio	模型3的回归系数 Regression coeeficent of Model 3	模型4的回归系数 Regression coeeficent of Model 4
X₁	0.020^*	1.020	0.030^**	1.030	0.008	0.015^**
X₂	-1.182^**	0.307	-1.838	0.159	-0.454^**	-0.406
X₃	-0.291^*	0.747	-0.256	0.774	-0.139	-0.140
X₄	0.275	1.316	-1.364^**	0.256	0.074	-0.948^***
X₅	-0.177	0.838	-0.475^***	0.622	-0.086	-0.240^***
X₆	-0.303^**	0.739	0.302^*	1.353	-0.160^*	0.132
X₇	-13.051^**	0.001	0.618	1.855	-1.073	0.562
X₈	-2.677	0.069	7.129	1247.186	-0.963	0.441
X₉	-1.507^**	0.222	-2.513^**	0.081	-0.330^*	-0.967^**
X₁₀	-0.489^***	0.613	0.284	1.328	-0.286^***	0.104
X₁₁	0.042^***	1.043	-0.025^*	0.975	0.020^***	-0.016 ^**
X₁₂	0.005	1.005	0.085	1.089	-0.005	0.034
X₁₃	0.111^**	1.117	0.062	1.064	0.057^**	0.032
X₁₄	1.031^**	2.804	0.957^**	2.605	0.416^*	0.602^**
X₁₅	0.635	1.888	-3.096^***	0.480	0.161	-0.331

变量 Variable	模型1的结果Results of Model 1		模型2的结果Results of Model 2		模型3的回归系数 Regression coeeficent of Model 3	模型4的回归系数 Regression coeeficent of Model 4
变量 Variable	回归系数 Regression coeeficent	优势比 Ods ratio	回归系数 Regression coeeficent	优势比 Ods ratio	模型3的回归系数 Regression coeeficent of Model 3	模型4的回归系数 Regression coeeficent of Model 4
X₁	0.020^*	1.020	0.030^**	1.030	0.008	0.015^**
X₂	-1.182^**	0.307	-1.838	0.159	-0.454^**	-0.406
X₃	-0.291^*	0.747	-0.256	0.774	-0.139	-0.140
X₄	0.275	1.316	-1.364^**	0.256	0.074	-0.948^***
X₅	-0.177	0.838	-0.475^***	0.622	-0.086	-0.240^***
X₆	-0.303^**	0.739	0.302^*	1.353	-0.160^*	0.132
X₇	-13.051^**	0.001	0.618	1.855	-1.073	0.562
X₈	-2.677	0.069	7.129	1247.186	-0.963	0.441
X₉	-1.507^**	0.222	-2.513^**	0.081	-0.330^*	-0.967^**
X₁₀	-0.489^***	0.613	0.284	1.328	-0.286^***	0.104
X₁₁	0.042^***	1.043	-0.025^*	0.975	0.020^***	-0.016 ^**
X₁₂	0.005	1.005	0.085	1.089	-0.005	0.034
X₁₃	0.111^**	1.117	0.062	1.064	0.057^**	0.032
X₁₄	1.031^**	2.804	0.957^**	2.605	0.416^*	0.602^**
X₁₅	0.635	1.888	-3.096^***	0.480	0.161	-0.331

变量 Variable	模型5的结果Results of Model 5		模型6的结果Results of Model 6		边际效应Marginal effects
变量 Variable	回归系数 Regression coeeficent	优势比 Ods ratio	回归系数 Regression coeeficent	优势比 Ods ratio	正一致性 Positive coherence	悖离 Deviation	负一致性 Negative consistency
X₁	-0.037^** (0.017)	0.964	0.059^*** (0.022)	1.022	0.001 (0.002)	0.007^** (0.003)	-0.007^*** (0.003)
X₃	0.323 (0.212)	1.381	-0.460^** (0.209)	0.872	-0.015 (0.027)	-0.045 (0.030)	0.060^** (0.029)
X₄	0.998 (0.620)	2.713	0.308 (0.565)	3.691	-0.172 (.0.075)	0.132 (0.080)	-0.040^** (0.080)
X₁₁	-0.013 (0.018)	0.987	0.030^* (0.016)	1.017	0.001^* (0.002)	0.002^* (0.002)	-0.002 (0.002)
X₉	3.931^*** (1.201)	50.950	-1.490^** (0.665)	11.482	-0.463^*** (0.168)	-0.010 (0.117)	0.473^*** (0.095)
X₇	12.658^* (7.50)	3.181×10^-6	-17.368^** (6.918)	2.865×10^-8	1.136^*** (0.425)	-1.563^*** (0.540)	-2.698^*** (0.892)
X₆	0.044 (0.192)	1.045	-0.321^* (0.175)	0.758	0.011 (0.024)	-0.057^* (0.025)	0.045^* (0.025)
X₅	0.417^** (0.206)	1.517	0.086 (0.195)	1.653	-0.066^*** (0.025)	0.046 (0.009)	0.019 (0.009)
X₁₃	-0.141^** (0.067)	0.868	0.136^** (0.064)	0.995	0.011 (0.008)	0.012 (0.009)	-0.023^*** (0.009)
X₁₄	-1.414^*** (0.515)	0.243	-0.381 (0.545)	0.166	0.224^*** (0.056)	-0.191^*** (0.073)	0.0337 (0.070)
X₁₆	-0.006 (0.024)	0.994	-0.057^** (0.027)	0.939	0.006^* (0.003)	-0.010^** (0.004)	0.004 (0.003)

基于资产专用性理论的农户土地流转行为研究

A study of farmers’ land transfer behavior based on asset specificity theory

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参考文献 28

相关文章 15

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变量 Variable	模型7的结果 Results of Model 7	模型8的结果 Results of Model 8
X₁	-0.024^**(0.013)	0.016(0.016)
X₃	0.250(0.164)	-0.077(0.164)
X₄	-0.740(0.461)	1.000^**(0.450)
X₁₁	-0.004(0.014)	0.001(0.013)
X₉	3.001^***(0.860)	-1.940(0.861)
X₇	-11.64^***(4.22)	0.001(0.864)
X₆	-0.113(0.146)	-0.191(0.144)
X₅	-0.298^*(0.156)	0.360^**(0.155)
X₁₃	-0.105^**(0.051)	-0.008(0.050)
X₁₄	-0.010(0.018)	-0.045^**(0.021)
X₁₆	-0.061^***(0.389)	-1.370^***(0.386)

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