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

doi:10.3969/j.issn.1004-1524.20230562

Acta Agriculturae Zhejiangensis ›› 2024, Vol. 36 ›› Issue (10): 2379-2390.DOI: 10.3969/j.issn.1004-1524.20230562

• Agricultural Economy and Development • Previous Articles Next Articles

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

Abstract

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

CLC Number:

F301

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.

Figures/Tables 4

References 28

[1]	LIN J. Rural reforms and agricultural growth in China[J]. The American Economic Review, 1992, 82: 34-51.
[2]	谢玲红, 吕开宇. 我国农村耕地流转基本特点、区域差异及政策优化: 基于8省农户调查的数据[J]. 农村经济, 2016(7): 34-41.
	XIE L H, LÜ K Y. Basic characteristics, regional differences and policy optimization of rural cultivated land circulation in China: based on the data of farmer survey in 8 provinces[J]. Rural Economy, 2016(7): 34-41. (in Chinese)
[3]	陈美球, 邓爱珍, 周丙娟, 等. 耕地流转中农户行为的影响因素实证研究: 基于江西省42个县市64个乡镇74个行政村的抽样调查[J]. 中国软科学, 2008(7): 6-13.
	CHEN M Q, DENG A Z, ZHOU B J, et al. An empirical study on factors of influencing farm households’ behavior in cultivated land transfer: based on investigation of 74 villages, 42 counties, Jiangxi Province[J]. China Soft Science, 2008(7): 6-13. (in Chinese with English abstract)
[4]	程令国, 张晔, 刘志彪. 农地确权促进了中国农村土地的流转吗?[J]. 管理世界, 2016(1): 88-98.
	CHENG L G, ZHANG Y, LIU Z B. Does the confirmation of farmland promote the circulation of rural land in China?[J]. Management World, 2016(1): 88-98. (in Chinese)
[5]	许庆, 刘进, 钱有飞. 劳动力流动、农地确权与农地流转[J]. 农业技术经济, 2017(5): 4-16.
	XU Q, LIU J, QIAN Y F. Labor mobility, farmland confirmation and farmland circulation[J]. Journal of Agrotechnical Economics, 2017(5): 4-16. (in Chinese)
[6]	李静. 农地确权、资源禀赋约束与农地流转[J]. 中国地质大学学报(社会科学版), 2018, 18(3): 158-167.
	LI J. Praedial title right, resources endowment constraints and farming land transfer[J]. Journal of China University of Geosciences(Social Sciences Edition), 2018, 18(3): 158-167. (in Chinese with English abstract)
[7]	付江涛, 纪月清, 胡浩. 新一轮承包地确权登记颁证是否促进了农户的土地流转: 来自江苏省3县(市、区)的经验证据[J]. 南京农业大学学报(社会科学版), 2016, 16(1): 105-113.
	FU J T, JI Y Q, HU H. Does new-round land confirmation, registration and certification boost the land transfer among farmers?: an empirical evidence from 3 counties in Jiangsu Province[J]. Journal of Nanjing Agricultural University(Social Sciences Edition), 2016, 16(1): 105-113. (in Chinese with English abstract)
[8]	周作昂, 赵绍阳, 何庆红. 劳动力老龄化对农业土地流转和规模经营的影响[J]. 财经科学, 2020(2): 120-132.
	ZHOU Z A, ZHAO S Y, HE Q H. The impact of aging labor force on agricultural land transfer and scale management[J]. Finance & Economics, 2020(2): 120-132. (in Chinese with English abstract)
[9]	陆岐楠, 张崇尚, 仇焕广. 农业劳动力老龄化、非农劳动力兼业化对农业生产环节外包的影响[J]. 农业经济问题, 2017, 38(10): 27-34.
	LU Q N, ZHANG C S, QIU H G. The effect of aging of agricultural labor force and part-time farming on the outsourcing of agricultural production[J]. Issues in Agricultural Economy, 2017, 38(10): 27-34. (in Chinese with English abstract)
[10]	庄晋财, 卢文秀, 李丹. 前景理论视角下兼业农户的土地流转行为决策研究[J]. 华中农业大学学报(社会科学版), 2018(2): 136-144.
	ZHUANG J C, LU W X, LI D. Study on part-time farmers’ decision-making in farmland transfer from perspective of prospect theory[J]. Journal of Huazhong Agricultural University(Social Sciences Edition), 2018(2): 136-144. (in Chinese with English abstract)
[11]	章政, 祝丽丽, 张涛. 农户兼业化的演变及其对土地流转影响实证分析[J]. 经济地理, 2020, 40(3): 168-176.
	ZHANG Z, ZHU L L, ZHANG T. An empirical analysis of the evolution of farmer household’s concurrent business and impact on the land leased market in China[J]. Economic Geography, 2020, 40(3): 168-176. (in Chinese with English abstract)
[12]	钱龙, 陈会广, 叶俊焘. 成员外出务工、家庭人口结构与农户土地流转参与: 基于CFPS的微观实证[J]. 中国农业大学学报, 2019, 24(1): 184-193.
	QIAN L, CHEN H G, YE J T. Effect of off-farm and household population structure on agricultural land transfer: an empirical analysis based on CFPS[J]. Journal of China Agricultural University, 2019, 24(1): 184-193. (in Chinese with English abstract)
[13]	王舒娟, 马俊凯, 李宁. 农地经营规模如何影响农户的农业机械化选择?[J]. 农村经济, 2021(4): 111-118.
	WANG S J, MA J K, LI N. How does the scale of farmland management affect farmers’ choice of agricultural mechanization?[J]. Rural Economy, 2021(4): 111-118. (in Chinese)
[14]	熊彩云. 确权对农地流转的促进作用[J]. 宏观经济管理, 2014(12): 48-51.
	XIONG C Y. The promoting effect of confirming right on farmland circulation[J]. Macroeconomic Management, 2014(12): 48-51. (in Chinese)
[15]	林文声, 秦明, 郑适, 等. 资产专用性对确权后农地流转的影响[J]. 华南农业大学学报(社会科学版), 2016, 15(6): 1-9.
	LIN W S, QIN M, ZHENG S, et al. The effect of asset specificity on farmland transfer after land registration and certification[J]. Journal of South China Agricultural University(Social Science Edition), 2016, 15(6): 1-9. (in Chinese with English abstract)
[16]	于伟咏. 资产专用性、需求驱动与农药安全施用行为研究: 基于四川种植户的理论与实证[D]. 雅安: 四川农业大学, 2018.
	YU W Y. Asset specificity, demand driven, and pesticide safety application behavior[D]. Ya’an: Sichuan Agricultural University, 2018. (in Chinese with English abstract)
[17]	王翌秋, 祝云逸, 曹蕾, 等. 资产专用性、风险规避与农机户生产经营行为研究[J]. 财贸研究, 2019, 30(11): 39-47.
	WANG Y Q, ZHU Y Y, CAO L, et al. Asset specificity, risk aversion and agricultural machinery households’ production and management[J]. Finance and Trade Research, 2019, 30(11): 39-47. (in Chinese with English abstract)
[18]	李明玉. 资产专用性对家庭农场主退出意愿的影响研究[D]. 成都: 电子科技大学, 2021.
	LI M Y. Research on the influence of asset specificity on family farmers’ quit intention[D]. Chengdu: University of Electronic Science and Technology of China, 2021. (in Chinese with English abstract)
[19]	王彩霞. 工商资本下乡与农业规模化生产稳定性研究[J]. 宏观经济研究, 2017(11): 157-162.
	WANG C X. Study on industrial and commercial capital going to the countryside and stability of agricultural scale production[J]. Macroeconomics, 2017(11): 157-162. (in Chinese)
[20]	WILLIAMSON O E. Markets and hierarchies[M]. New York: Free Press, 1971.
[21]	WILLIAMSON O E. The economic institutions of capitalism: firms, markets, relational contracting[M]. New York: Free Press, 1985.
[22]	WILLIAMSON O E. Comparative economic organization: the analysis of discrete structural alternatives[J]. Administrative Science Quarterly, 1991, 36(2): 269.
[23]	李孔岳. 农地专用性资产与交易的不确定性对农地流转交易费用的影响[J]. 管理世界, 2009(3): 92-98.
	LI K Y. The effects of the nature of the farmland used for a special purpose and the uncertainty of transactions in it on the transaction costs of farmland transfer[J]. Management World, 2009(3): 92-98. (in Chinese with English abstract)
[24]	谢先雄, 邓悦, 杜瑞瑞, 等. 资产专用性可促进休耕后农户复耕吗? : 来自西北生态严重退化休耕试点区的实证证据[J]. 西北农林科技大学学报(社会科学版), 2021, 21(3): 115-124.
	XIE X X, DENG Y, DU R R, et al. Does asset specific performance promote farmers’ re-cultivation after the fallow season ends?: an empirical evidence from the pilot area of fallow in northwest China[J]. Journal of Northwest A&F University(Social Science Edition), 2021, 21(3): 115-124. (in Chinese with English abstract)
[25]	冯晓龙, 刘明月, 仇焕广, 等. 资产专用性与专业农户气候变化适应性生产行为: 基于苹果种植户的微观证据[J]. 中国农村观察, 2018(4): 74-85.
	FENG X L, LIU M Y, QIU H G, et al. The impacts of asset specificity on specialized farmers’ adaptation to climate change: evidence from apple farmers in Shaanxi Province[J]. China Rural Survey, 2018(4): 74-85. (in Chinese with English abstract)
[26]	卢纹岱. SPSS for Windows统计分析(第3版)[M]. 北京: 电子工业出版社, 2006.
[27]	张亚丽, 白云丽, 辛良杰. 耕地质量与土地流转行为关系研究[J]. 资源科学, 2019, 41(6): 1102-1110.
	ZHANG Y L, BAI Y L, XIN L J. Relationships between cultivated land quality and land transfer behaviors at the plot scale[J]. Resources Science, 2019, 41(6): 1102-1110. (in Chinese with English abstract)
[28]	林文声, 秦明, 王志刚. 农地确权颁证与农户农业投资行为[J]. 农业技术经济, 2017(12): 4-14.
	LIN W S, QIN M, WANG Z G. Certification of farmland confirmation and farmers’ agricultural investment behavior[J]. Journal of Agrotechnical Economics, 2017(12): 4-14. (in Chinese)

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)

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

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 4

References 28

Related Articles 15

Recommended Articles

Metrics

Comments

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)

[1]	QIAO Li, CHEN Lei, JIANG Yueli, ZHOU Zhou, GENG Shubao, WANG Lijuan. Interference of LED green light on the feeding behavior of Empoasca onukii Matsuda [J]. Acta Agriculturae Zhejiangensis, 2024, 36(9): 2051-2059.
[2]	WU Shiman, MENG Shengxiang, LU Xinhai, LI Zhuofan. Study on farmers’ willingness to property right adjustment in land consolidation based on expected utility theory [J]. Acta Agriculturae Zhejiangensis, 2024, 36(6): 1436-1446.
[3]	QIAO Li, YOU Weichen, WANG Guojun, ZHI Yanan, ZHOU Zhou, GENG Shubao. Effect of different insecticides on sucking behavior of Empoasca onukii Matsuda [J]. Acta Agriculturae Zhejiangensis, 2024, 36(10): 2273-2282.
[4]	YU Shuai, HUANG Jun, YING Junjie, ZHANG Juan, MAO Xueqin, ZHANG Zhijun, LYU Yaobin, LI Yan. Attractant activity of banana peel powder to Drosophila melanogaster and analysis of its chemical components of volatiles [J]. Acta Agriculturae Zhejiangensis, 2023, 35(10): 2415-2424.
[5]	HUANG Hexiao, ZHANG Xihua, ZHUO Ni, LI Baozhi, ZHANG Weijiang, ZHU Qibiao. Research on training behavior of high quality farmers from perspective of social capital demand: based on theory of planned behavior [J]. Acta Agriculturae Zhejiangensis, 2022, 34(3): 652-660.
[6]	YAO Xingyuan, WANG Weifang. Consumer participation and satisfaction with digital green inclusive financial products [J]. Acta Agriculturae Zhejiangensis, 2021, 33(8): 1542-1551.
[7]	CAI Jun, ZHOU Xiaoyu. Farmer’s behavior intention and behavioral response transformation paths in management and maintenance of land consolidation projects: empirical analysis from four typical towns of Huaining County in Anhui Province, China [J]. Acta Agriculturae Zhejiangensis, 2021, 33(6): 1128-1140.
[8]	JIN Liwen, LIU Zengjin, LIU Aijun. Participation behavior of pork seller in traceability system: empirical analysis of 636 sellers in Beijing, Shanghai and Jinan, China [J]. Acta Agriculturae Zhejiangensis, 2021, 33(3): 541-552.
[9]	WU Yaqun, DONG Jie. Relationship within capital endowment, technology cognition and farmers’ low carbon use intention of cultivated land [J]. Acta Agriculturae Zhejiangensis, 2021, 33(12): 2423-2434.
[10]	XU Lianjun. Analysis on influencing factors of farmers’ land circulation willingness from perspective of behavioral economics: a case study of Zhejiang farmers [J]. , 2020, 32(2): 367-372.
[11]	XIE Qing, QU Litong, YAN Shixiong. Determination of optimal term of land transfer in suburban villages based on construction land expansion prediction [J]. , 2020, 32(10): 1899-1909.
[12]	CHEN Fangli, QIAN Long, WANG Jinliang. Influence of confirmation of entitlement on farmers' homesteads transfer based on evidence from Wenzhou [J]. , 2019, 31(3): 503-511.
[13]	WANG Anbang, HE Ke, ZHANG Junbiao. Effect of health consciousness on pro-environmental behavior of scale breeding farmers: based on payment willingness for environmentally friendly feed [J]. , 2019, 31(10): 1745-1757.
[14]	LIU Qi\\|hang1， ZHANG Wen\\|qing1， ZHOU Qiang2. Study on the phototactic sucking and trapping regulation effect of Locusta migratoria stimulated by light and air\\|suction [J]. , 2016, 28(2): 338-.
[15]	LUO Hu\\|ping1，2， TANG Yu1，2， KANG Hong\\|jun1，3， ZENG Zheng1，2. Empirical study on factors influencing farmers willingness to cropland abandonment in Hunan Province#br# [J]. , 2015, 27(8): 1494-.