Journal of Jiangxi University of Finance and Economics ›› 2020, Vol. 0 ›› Issue (5): 103-116.

• Agricultural Research • Previous Articles     Next Articles

Integration of the Three Industries in Rural Areas:Rural Households' Participation and Its Income-Increasing Effects

LI Jiao-yuan1, QIN Cheng2, FANG Xiang-ming2   

  1. 1. Zhejiang Gongshang University, Hangzhou 310018;
    2. China Agricultural University, Beijing 100083, China
  • Received:2020-02-26 Revised:2020-07-13 Online:2020-09-25 Published:2020-11-03

Abstract: The income-increasing effect of rural households' participation in the integration of the three industries is one of the important aspects in evaluating the effects of the integrated development of the three industries in rural areas. Based on the survey data of 714 rural households from Zhejiang, Hubei, and Sichuan provinces in 2019, this paper tries to analyze the participation of rural households in the integration of the three industries. It makes use of the Logit model to explore the influencing factors of the participation and employs the propensity score matching method (PSM) to evaluate the effects of the participation on farmers' income. The results show that such factors as the education the head of a household received, family's social capital, whether a family being the subject of the new-type agricultural operation, the level of economic infrastructures related to the development of village industries, and the location are the major causes to the households' participation in the integration of the three industries. The participation has significantly increased the per capita operational income by 164.7%, but no significant effect can be found on the income of other types. Compared with other groups, the participation has a more significant effect on the per capita operational income of the rural households with the heads aged 45 or above, the households with education level of high school or over, and the ordinary households not registered as subjects of new agricultural operation.

Key words: integration of three industries in rural areas, infrastructure, rural household income, propensity score method

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