Research on the influence of non-agricultural employment on farmers’ domestic sewage discharge

JU Haiqin, ZHANG Hongxiao, CHEN Jia, JI Xing

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (5) : 245-254.

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JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (5) : 245-254. DOI: 10.12302/j.issn.1000-2006.202208049

Research on the influence of non-agricultural employment on farmers’ domestic sewage discharge

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Abstract

【Objective】The key point to achieve the goal of rural sewage treatment is emphasizing farmers’ participation. It is of great significance to study the sewage discharge behavior of non-agricultural employment farmers for promoting rural domestic sewage treatment under the background of the transfer of a large number of rural labor force to non-agricultural industries. 【Method】Taking 2 330 farmers from the Jiangsu Province as research subjects, the theoretical analysis framework of “non-agricultural employment-capital endowment-farmers’ sewage discharge behavior” was constructed. Then, the conditional mixed process estimation method (CMP method) and mediation effect model were used to empirically analyze the mechanisms of non-agricultural employment on farmers’ sewage discharge behavior. 【Result】After considering the possible endogeneity problem, it was found that non-agricultural employment can significantly enhance the adoption of farmers’ sewage discharge behavior, and had a obvious inhibitory effect on random discharge. Additionally, various forms of capital endowment had a significant mediating role in the impact of non-agricultural employment on sewage discharge behavior, which confirms the importance of capital endowment in guiding and regulating the sewage discharge behavior of non-agricultural employment farmers. 【Conclusion】Guiding non-agricultural employment households to participate in the sewage treatment of villages is beneficial for rural sewage treatment. The goal of guiding and regulating the sewage discharge behavior of farmers can be achieved through village collective activities, providing sewage treatment education and training, broadening the income sources of farmers.

Key words

non-agricultural employment / farmers’ domestic sewage / sewage discharge behavior / capital endowment / mediating effect model

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JU Haiqin , ZHANG Hongxiao , CHEN Jia , et al. Research on the influence of non-agricultural employment on farmers’ domestic sewage discharge[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2023, 47(5): 245-254 https://doi.org/10.12302/j.issn.1000-2006.202208049

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Abstract
农户是生活垃圾分类的源头主体,其分类水平的高低直接关系着农村生活垃圾分类治理的成效,关系着美丽乡村建设的成败。基于农户分类行为的微观数据,本文结合“个体层面”与“集体层面”因素,分析生活垃圾污染感知、社会资本对农户生活垃圾分类水平的影响机理,并运用Ordered Probit模型对陕西农村1374份农户调查数据进行了实证检验。结果表明:①“个体层面”的生活垃圾污染感知对农户分类水平具有明显提升作用,农户对生活垃圾在生态环境、社区环境以及身心健康方面产生的污染及影响感知越强,其生活垃圾分类水平越高;②“集体层面”社会资本中的社会网络、制度信任、社会参与及社会规范显著提升农户生活垃圾分类水平,但人际信任对其分类水平并无显著影响,说明社会交往频率较高、制度信任度较高、积极参与农村垃圾治理公共事宜以及认为村庄垃圾治理较好的农户,其分类水平较高;③女性的生活垃圾分类水平相较于男性更高一些,低收入家庭相对于高收入家庭的分类水平更高。因此,要实现生活垃圾可持续分类治理,全面建设生态宜居新农村,不仅要强化农户污染感知,而且需要构建良好的社区环境,通过网络沟通以及信息共享加强农户交往频率、提高农户的制度信任度以及公共事务参与度、强化社区约束机制,提升农户生活垃圾分类水平。
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温忠麟, 叶宝娟. 中介效应分析:方法和模型发展[J]. 心理科学进展, 2014, 22(5):731-745.
Abstract
在心理学和其他社科研究领域, 大量实证文章建立中介效应模型, 以分析自变量对因变量的影响过程和作用机制。检验中介效应最流行的方法是Baron和Kenny的逐步法, 但近年来不断受到批评和质疑, 有人甚至呼吁停止使用其中的依次检验, 改用目前普遍认为比较好的Bootstrap法直接检验系数乘积。本文对相关的议题做了辨析, 并讨论了中介分析中建立因果关系的方法。综合新近的研究成果, 总结出一个中介效应分析流程, 并分别给出显变量和潜变量Mplus程序。最后介绍了中介效应模型的发展。
WEN Z L, YE B J. Analyses of mediating effects: the development of methods and models[J]. Adv Psychol Sci, 2014, 22(5):731-745. DOI:10.3724/SP.J.1042.2014.00731.
<p>Mediation models are frequently used in the research of psychology and other social science disciplines. Mediation indicates that the effect of an independent variable on a dependent variable is transmitted through a third variable, which is called mediator. In most applied research, Baron and Kenny&rsquo;s (1986) causal steps approach has been used to test mediating effect. In recent years, however, many methodological researchers questioned the rationality of the causal steps approach, and some of them even attempted to stop its use. Firstly, we clarify the queries on the causal steps approach one by one. Secondly, we propose a new procedure to analyze mediating effects. The new procedure is better than any single method that constitutes the procedure in terms of Type I error rate and power. The proposed procedure can be conducted by using observed variables and/or latent variables. Mplus programs are supplied for the procedure with observed variables and/or latent variables. Finally, this article introduces the development of mediation models, such as mediation model of ordinal variables, multilevel mediation, multiple mediation, moderated mediation, and mediated moderation.</p>
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