Study on Evaluation System and Path Optimization of Entrepreneurial Poverty Alleviation Policy
- DOI
- 10.2991/mcei-17.2017.135How to use a DOI?
- Keywords
- poverty alleviation; poverty alleviation and development policy; entrepreneurship for poverty alleviation; path optimization;
- Abstract
Entrepreneurial activity is an important source of economic growth. Currently, alleviating poverty through starting a business is a widely applied mode and has far-reaching practical significance for solving social problems and benefiting economic development in impoverished areas. In both domestic and foreign documents, there has already been in-depth studies on entrepreneurial poverty alleviation policy from the aspects of empirical mode, implementation plan and policy mechanism. However, the evaluation system and path optimization of this policy still lack systematic theoretical framework and analytical research. Therefore, the evaluation index system of this policy and its effects can be refined from the perspective of entrepreneurial orientation, entrepreneurial awareness and entrepreneurial economy. Based on this logical framework and SPSS data analysis tools, this paper evaluates and analyzes the effect of entrepreneurial poverty alleviation policy in Qichun County, Hubei Province, summarizes the practical difficulties in its implementing process as well as exploring the path optimization of this policy
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yixi Xia PY - 2017/12 DA - 2017/12 TI - Study on Evaluation System and Path Optimization of Entrepreneurial Poverty Alleviation Policy BT - Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017) PB - Atlantis Press SP - 636 EP - 642 SN - 2352-538X UR - https://doi.org/10.2991/mcei-17.2017.135 DO - 10.2991/mcei-17.2017.135 ID - Xia2017/12 ER -