基于TAM-TPB框架的农户宅基地退出决策机理研究

doi:10.18402/resci.2021.01.12

Abstract

Abstract:

Guiding rural households to orderly withdraw from homestead is an important way to solve the problem of extensive utilization of rural construction land. This study constructed a decision model for farmers’ homestead exit based on the technology acceptance model-theory of planned behavior (TAM-TPB) framework, and analyzed the decision-making process of farmers, influencing factors, and their differences in regions with different levels of economic development. This article also discussed the impact of human-land relationship on farmers’ decision making. The results show that: (1) Farmers’ willingness to exit homestead is mainly affected by three factors behavior attitude, perceived usefulness, and perceived ease of use. Behavior attitude is the factor that directly influenced farmers’ willingness in three regions, and the effect is strongest in less developed and under-developed regions. (2) Perceived usefulness has a positive impact on farmers’ willingness in three regions through direct influence and indirect influence mediated by behavior attitude, and the effect is strongest in economically developed regions. (3) Perceived ease of use, with behavior attitude and perceived usefulness as mediating variables, has an indirect positive impact on farmers’ willingness, but the effect is weak in all regions. (4) The difference in human-land relationship led to farmers in developed region rejecting the exchange of homestead for urban resettlement housing; farmers in less developed region are more inclined to accept resettlement housing in the original villages to continue to live there, and farmers in under-developed region accept the compensation method of “house for house”. Based on these, we should place greater emphasis on farmer education, prioritizing local resettlements, and improving the flexibility of compensation methods to further improve the policy of homestead exit.

Key words: homestead exit, decision-making mechanism, technology acceptance model-theory of planned behavior (TAM-TPB) framework, structural equation model, regional differentiation

ZHOU Yihu, FANG Tingting, LI li. Decision-making mechanism of farmers’ homestead exit based on the TAM-TPB framework[J].Resources Science, 2021, 43(1): 148-160.

Figures/Tables 8

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Table 1

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Figure 2

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Table 4

References 35

[1]	李克强. 政府工作报告: 2014年3月5日在第十二届全国人民代表大会第二次会议上[M]. 北京: 人民出版社, 2014.
	[ Li K Q. Report on the Work of the Government: Delivered at the Second Session of the Twelfth National People’s Congress on March 5, 2014[M]. Beijing: People’s Publishing House, 2014.]
[2]	邹秀清, 谢美辉, 肖泽干, 等. 农业人口转移与城市建设用地增加耦合态势及空间协调特征: 以江西省为例[J]. 中国土地科学, 2019,33(10):31-38.
	[ Zou X Q, Xie M H, Xiao Z G, et al. The coupling and spatial coordination characteristics between agricultural population migration and urban construction land increase in Jiangxi province[J]. China Land Science, 2019,33(10):31-38.]
[3]	王子坤, 邹伟, 王雪琪. 农户宅基地退出的行为与意愿悖离研究[J]. 中国土地科学, 2018,32(7):29-35.
	[ Wang Z K, Zou W, Wang X Q. A study on the deviation of behavior and willingness of rural residential land exit[J]. China Land Science, 2018,32(7):29-35.]
[4]	龚宏龄, 林铭海. 农民的异质化特征对宅基地退出补偿偏好的影响: 基于大足和涪陵两地的调研数据[J]. 农村经济, 2019, (2):31-38.
	[ Gong H L, Lin M H. The impact of farmers’ heterogeneity on homestead exit compensation preference: Based on the survey data of Dazu and Fuling[J]. Rural Economy, 2019, (2):31-38.]
[5]	中共中央办公厅, 国务院办公厅. 关于农村土地征收、集体经营性建设用地入市、宅基地制度改革试点工作的意见[EB/OL]. (2015-01-12) [2019-12-22]. http://house.people.com.cn/n/2015/0112/c194441-26365368.html.
	[ General Office of the CPC Central Committee, General Office of the State Council. Opinions on Rural Land Expropriation, Collective Business Construction Land Entering the Market and Residential Land System Reform Pilot Work[EB/OL]. (2015-01-12) [2019-12-22]. http://house.people.com.cn/n/2015/0112/c194441-26365368.html.]
[6]	中共中央办公厅, 国务院办公厅. 乡村振兴战略规划(2018-2022年)[EB/OL]. (2018-09-26) [2019-12-22]. http://www.gov.cn/xinwen/2018-09/26/content_5325534.htm.
	[ General Office of the CPC Central Committee, General Office of the State Council. Strategic planning for Rural Revitalization(2018-2020)[EB/OL]. (2018-09-26) [2019-12-22]. http://www.gov.cn/xinwen/2018-09/26/content_5325534.htm.]
[7]	中共中央办公厅, 国务院办公厅. 关于抓好“三农”领域重点工作,确保如期实现全面小康的意见[EB/OL]. (2020-02-05) [2019-12-22]. http://www.gov.cn/zhengce/2020-02/05/content_5474884.htm.
	[ General Office of the CPC Central Committee, General Office of the State Council. Opinions on Grasping the Key Work in the Field of “Agriculture, Rural Areas and Farmers” to Ensure the Realization of A Well-off Society in An All-round Way As Scheduled[EB/OL]. (2020-02-05) [2019-12-22]. http://www.gov.cn/zhengce/2020-02/05/content_5474884.htm.]
[8]	胡银根, 吴欣, 王聪, 等. 农户宅基地有偿退出与有偿使用决策行为影响因素研究: 基于传统农区宜城市的实证[J]. 中国土地科学, 2018,32(11):22-29.
	[ Hu Y G, Wu X, Wang C, et al. The impact factors of rural household decision-making behavior of rural residential land paid-exit and paid-use: Evidence from the traditional agricultural regions of Yicheng city[J]. China Land Science, 2018,32(11):22-29.]
[9]	蔡安宁, 冯健. 欠发达地区农户宅基地退出意愿的影响因素研究: 以安徽阜阳为例[J]. 城市发展研究, 2018,25(6):120-126, 134.
	[ Cai A N, Feng J. Study on the influential factors of farmers’ willingness to quit rural homestead in less development areas: A case study of Fuyang in Anhui province[J]. Urban Development Studies, 2018,25(6):120-126, 134.]
[10]	张婷, 张安录, 邓松林. 期望收益、风险预期及农户宅基地退出行为: 基于上海市松江区、金山区农户的实证分析[J]. 资源科学, 2016,38(8):1503-1514. doi: 10.18402/resci.2016.08.09
	[ Zhang T, Zhang A L, Deng S L. Expected return, risk expectation and residential land quitting behavior among farmers in Songjiang and Jinshan districts, Shanghai[J]. Resources Science, 2016,38(8):1503-1514.] doi: 10.18402/resci.2016.08.09
[11]	李伯华, 刘艳, 张安录, 等. 城市边缘区不同类型农户对宅基地流转的认知与响应: 以衡阳市酃湖乡两个典型村为例[J]. 资源科学, 2015,37(4):654-662.
	[ Li B H, Liu Y, Zhang A L, et al. Farm households’ perception and responses to homestead: A case study of 2 typical village in Linhu county, Hengyang city[J]. Resources Science, 2015,37(4):654-662.]
[12]	杨丽霞, 朱从谋, 苑韶峰, 等. 基于供给侧改革的农户宅基地退出意愿及福利变化分析: 以浙江省义乌市为例[J]. 中国土地科学, 2018,32(1):35-41.
	[ Yang L X, Zhu C M, Yuan S F, et al. Analysis on farmers’ willingness to rural residential land exit and welfare change based on the supply-side reform: A case of Yiwu city in Zhejiang province[J]. China Land Science, 2018,32(1):35-41.]
[13]	臧俊梅, 许进龙, 宁晓峰. 农户宅基地整治中权属调整的决策逻辑: 基于广东省的实证研究[J]. 经济体制改革, 2019, (4):85-92.
	[ Zang J M, Xu J L, Ning X F. The farmers’ decision logic of the adjustment of ownership in the homestead rectification: Based on the empirical study of Guangdong province[J]. Reform of Economic System, 2019, (4):85-92.]
[14]	龙胜锦, 陶弈成. 农村宅基地使用权抵押的权属障碍与破解路径[J]. 现代经济探讨, 2018, (11):42-50.
	[ Long S J, Tao Y C. The ownership obstacles and solutions of rural residential land use right mortgage[J]. Modern Economic Research, 2018, (11):42-50.]
[15]	吴郁玲, 石汇, 王梅, 等. 农村异质性资源禀赋、宅基地使用权确权与农户宅基地流转: 理论与来自湖北省的经验[J]. 中国农村经济, 2018, (5):52-67.
	[ Wu Y L, Shi H, Wang M, et al. Different resource endowment, rural housing land registry and rural housing land circulation: A theoretical analysis and empirical observations from Hubei[J]. Chinese Rural Economy, 2018, (5):52-67.]
[16]	Fishbein M. An investigation of the relationships between beliefs about an object and the attitude toward that object[J]. Human Relations, 1963,16(3):233-239. doi: 10.1177/001872676301600302
[17]	Fishbein M, Ajzen I. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research[M]. Reading: MA Addison-Wesley, 1975.
[18]	Ajzen I. The theory of planned behavior[J]. Organizational Behavior and Human Decision Processes, 1991,50(2):179-211. doi: 10.1016/0749-5978(91)90020-T
[19]	Armitage C J, Conner M. The theory of planned behaviour: Assessment of predictive validity and perceived control[J]. British Journal of Social Psychology, 2010,38(1):35-54. doi: 10.1348/014466699164022
[20]	张辉, 白长虹, 李储凤. 消费者网络购物意向分析: 理性行为理论与计划行为理论的比较[J]. 软科学, 2011,25(9):130-135.
	[ Zhang H, Bai C H, Li C F. Study on consumers’ online purchasing intention: Comparison between TRA and TPB[J]. Soft Science, 2011,25(9):130-135.]
[21]	万亚胜, 程久苗, 吴九兴, 等. 基于计划行为理论的农户宅基地退出意愿与退出行为差异研究[J]. 资源科学, 2017,39(7):1281-1290. doi: 10.18402/resci.2017.07.06
	[ Wan Y S, Cheng J M, Wu J X, et al. Differences between rural homestead exit intention and exit behavior based on theory of planned behavior[J]. Resources Science, 2017,39(7):1281-1290.] doi: 10.18402/resci.2017.07.06
[22]	戴维迈尔斯. 社会心理学[M]. 北京: 人民邮电出版社, 2009.
	[ David M. Social Psychology[M]. Beijing: Posts and Telecommunications Press, 2009.]
[23]	Davis F. A Technology Acceptance Model for Empirically Testing New End-user Information Systems: Theory and Results[D]. Massachusetts: Massachusetts Institute of Technology, 1986. doi: 10.1142/S2339547815500016 pmid: 26161433
[24]	Holden R J, Karsh B T. The technology acceptance model: Its past and its future in health care[J]. Journal of Biomedical Informatics, 2010,43(1):159-172. doi: 10.1016/j.jbi.2009.07.002
[25]	张国华, 雷雳. 基于技术接受模型的青少年网络游戏成瘾机制研究[J]. 心理发展与教育, 2015,31(4):437-444.
	[ Zhang G H, Lei L. The mechanism of online game addiction for adolescents: Based on technology acceptance model[J]. Psychological Development and Education, 2015,31(4):437-444.]
[26]	王昶, 吕夏冰, 孙桥. 居民参与“互联网+回收”意愿的影响因素研究[J]. 管理学报, 2017,14(12):1847-1854.
	[ Wang C, Lv X B, Sun Q. A study on the influencing factors of residents’ participation in “online collection”[J]. Chinese Journal of Management, 2017,14(12):1847-1854.]
[27]	杨翾, 彭迪云, 谢菲. 基于TAM/TPB的感知风险认知对用户信任及其行为的影响研究: 以支付增值产品余额宝为例[J]. 管理评论, 2016,28(6):229-240.
	[ Yang X, Peng D Y, Xie F. A study on the effects of TAM/TPB: Based perceived risk cognition on users’ trust and behavior taking Yu’ ebao, a value-added payment product, as an example[J]. Management Review, 2016,28(6):229-240.]
[28]	Lee M C. Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit[J]. Electronic Commerce Research& Applications, 2009,8(3):130-141.
[29]	聂勇浩, 罗景月. 感知有用性、信任与社交网站用户的个人信息披露意愿[J]. 图书情报知识, 2013, (5):89-97.
	[ Nie Y H, Luo J Y. Perceived usefulness, trust and personal information disclosure intention of social networking sites users[J]. Documentation, Information & Knowledge, 2013, (5):89-97.]
[30]	刘勍勍, 左美云, 刘满成. 基于期望确认理论的老年人互联网应用持续使用实证分析[J]. 管理评论, 2012,24(5):89-101.
	[ Liu Q Q, Zuo M Y, Liu M C. Analysis of continuance usage model for the elderly using internet[J]. Management Review, 2012,24(5):89-101.]
[31]	程建, 程久苗, 费罗成, 等. 农地流转农户心理决策模型研究[J]. 资源科学, 2017,39(5):818-826. doi: 10.18402/resci.2017.05.02
	[ Cheng J, Cheng J M, Fei L C, et al. Modeling of farmer household psychological decision-making in farmland transfer[J]. Resources Science, 2017,39(5):818-826.] doi: 10.18402/resci.2017.05.02
[32]	杨留花, 诸大建. 扩展计划行为理论框架下共享单车规范停放行为意向的影响因素分析[J]. 中国人口·资源与环境, 2018,28(4):125-133.
	[ Yang L H, Zhu D J. Research on influencing factors influencing bicycle-sharing users’ orderly parking intention: Based on extended theory of planned behavior[J]. China Population, Resources and Environment, 2018,28(4):125-133.]
[33]	Godin G. The theory of planned behavior: A review of its applications to health-related behaviors.[J]. American Journal of Health Promotion Ajhp, 1996,11(2):87. doi: 10.4278/0890-1171-11.2.87 pmid: 10163601
[34]	Hagger M, Chatzisarantis N, Biddle S. The influence of autonomous and controlling motives on physical activity intentions within the theory of planned behaviour[J]. British Journal of Health Psychology, 2002,7(3):283-297. doi: 10.1348/135910702760213689
[35]	D J 沃姆斯利, G J 刘易斯. 行为地理学导论[M]. 陕西: 陕西人民出版社, 1988.
	[ Walmsley D J, Lewis G J. Introduction to Behavioral Geography[M]. Shaanxi: Shaanxi People’s Publishing House, 1988.]

潜变量	观测变量	编号
主观规范	村委会支持我退出宅基地	SN1
	村民小组支持我退出宅基地	SN2
	村中元老认同我退出宅基地	SN3
	邻居认同我退出宅基地	SN4
	家人支持我退出宅基地	SN5
行为态度	我支持国家宅基地退出政策	BA1
	我支持在本村开展宅基地退出活动	BA2
	我对目前居住的宅基地感到满意	BA3
	我支持对超标宅基地收费以促进退出	BA4
知觉行为控制	信息不公开会阻碍宅基地退出	PBC1
	保障不健全会阻碍宅基地退出	PBC2
	专业知识匮乏会阻碍宅基地退出	PBC3
	年龄较大会阻碍宅基地退出	PBC4
	补偿不合理会阻碍宅基地退出	PBC5
	宣传不足会阻碍宅基地退出	PBC6
感知有用性	退出宅基地可提高家庭生活水平	PU1
	退出宅基地可改善家庭居住条件	PU2
	退出宅基地有利于土地高效利用	PU3
	退出宅基地有利于村庄发展	PU4
感知易用性	我了解宅基地退出的相关信息	PEU1
	我了解政府推动宅基地退出的方式	PEU2
	宅基地对家庭生活帮助较小	PEU3
行为意愿	我愿意用宅基地换城镇统一安置房	BI1
	我愿意用宅基地换村内统一安置房	BI2
	我愿意用宅基地换资金补偿	BI3

变量名称	变量代码	标准化载荷系数			AVE			CR
变量名称	变量代码	较发达分组	次发达分组	欠发达分组	较发达分组	次发达分组	欠发达分组	较发达分组	次发达分组	欠发达分组
行为态度	BA1	0.924	0.914	0.909	0.827	0.900	0.862	0.906	0.947	0.926
	BA2	0.895	0.982	0.947
	BA3	——	——	——
	BA4	——	——	——
主观规范	SN1	0.920	0.966	0.950	0.887	0.852	0.743	0.959	0.945	0.919
	SN2	0.987	0.995	0.992
	SN3	0.916	0.796	0.801
	SN4	——	——	0.667
	SN5	——	——	——
知觉行为控制	PBC1	0.903	0.906	0.895	0.628	0.788	0.701	0.891	0.949	0.933
	PBC2	0.950	0.974	0.963
	PBC3	0.779	0.880	0.872
	PBC4	——	——	0.773
	PBC5	0.586	0.817	0.758
	PBC6	0.685	0.854	0.740
感知有用	PU1	——	——	——	0.721	0.845	0.660	0.884	0.916	0.851
	PU2	0.688	——	0.648
	PU3	0.910	0.946	0.934
	PU4	0.928	0.892	0.829
感知易用	PEU1	0.784	0.727	0.750	0.559	0.631	0.500	0.716	0.772	0.666
	PEU2	0.709	0.856	0.661
	PEU3	——	——	——
行为意愿	BI1	——	0.448	0.661	0.508	0.534	0.542	0.672	0.671	0.804
	BI2	0.770	0.931	0.804
	BI3	0.650	——	——

指标类型	拟合度统计量	拟合标准	拟合度统计值
指标类型	拟合度统计量	拟合标准	较发达分组	次发达分组	欠发达分组
绝对适配度	X ²/df	<3.00	2.495	2.239	1.947
	GFI	>0.90	0.960	0.953	0.956
	RMSEA	<0.06	0.047	0.049	0.040
比较适配度	NFI	>0.90	0.969	0.971	0.967
	TLI	>0.90	0.974	0.979	0.979
	CFI	>0.90	0.981	0.984	0.984
	RFI	>0.90	0.958	0.962	0.958
简约适配度	AGFI	>0.90	0.937	0.931	0.938
	PNFI	>0.50	0.705	0.745	0.758
	PCFI	>0.50	0.714	0.754	0.771

潜变量	中介变量	直接效应			中介效应			总效应
潜变量	中介变量	较发达分组	次发达分组	欠发达分组	较发达分组	次发达分组	欠发达分组	较发达分组	次发达分组	欠发达分组
PEU	BA、PU	—	—	—	0.137	0.074	0.073	0.137	0.074	0.073
PU	BA	0.394	0.240	0.168	0.085	0.159	0.122	0.479	0.399	0.290
BA	—	0.350	0.474	0.347	—	—	—	0.350	0.474	0.347
SN	—	0.130	—	—	—	—	—	0.130	—	—

Decision-making mechanism of farmers’ homestead exit based on the TAM-TPB framework

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