Research on Effective Configuration of Re-poverty Governance Measures: Based on fsQCA Analysis

Abstract

Although China has achieved remarkable results in lifting all the rural poor out of poverty by the end of 2020, how to preventing re-poverty is the most important task for local governments at present. In this paper, we use the fuzzy set qualitative comparative analysis method (fsQCA) to analyze 66 cases of re-poverty, aiming to explore the necessary condition and the combinations of policies for re-poverty families to get rid of poverty. The main results are as follows, Capability measures have a certain explanatory power for the results, but they are not the necessary conditions. And the combination of capability and opportunity measures is a necessary condition for out of poverty. What's more, assistance measures are critical for farmers who don't have advantages in both educational background and physical health. The research conclusions prove the existence of the configuration effect of governance measures, and provide guidance and references for the path selection and effectiveness analysis of the government's governance of re-poverty.