Abstract
The 12th Five-Year is an important strategic opportunity period for the economic and social development in ethnic minority regions of China. The development strategy of ethnic minority areas should adhere to Scientific Outlook on Development as a guide, suit the measure to local condition, constantly optimize and improve the efficiency of resource allocation then further achieve economic and social scientific development with the national policy support for ethnic minorities. In this paper, the evaluation index system of input and output efficiency of resource allocation in Minority Autonomous Prefecture is established, and the DEA model is the main analysis tool for comparing China's resources allocation efficiency in 30 Ethnic Minority Autonomous Prefectures, and proposes some policy recommendations on optimization of resources allocation.
Highlights
China is a multi-national country composed of 56 ethnic groups
The ethnic minority autonomous prefecture is situated between the autonomy region and autonomy county level and unit, and is a part of our local government
Import input indicators and output indicators data for 30 Minority Autonomous Prefecture into DEAP2.1 software, resource allocation efficiency results based on C2R and BC2 model are showed in table 4
Summary
China is a multi-national country composed of 56 ethnic groups. To guarantee the construction and promotion of economic and social development in Ethnic Minority Areas, the Party and the Government design national regional autonomy system according to “Big Mixing-up, Small Inhabit” nation distribution characteristic and the historical evolution of Chinese nation. This paper applies DEA model for quantitative comparison and analysis the resource allocation in ethnic autonomous prefectures in China in order to optimize the resources allocation, set some efficiency of differentiated support policy recommendations for the relevant government departments. Parameter method needs to construct a specific production function, which estimates the function parameters in production frontier, completes constructing the frontier function parameters; The non parametric method does not require prior assumptions and estimate parameters to structure the concrete function form, but observe a large number of actual data according to a certain production efficiency standard to find the relative effective point in production frontier.Non parametric effect of production frontier theory-Data Envelopment Analysis (abbreviated as DEA) is put forward by U.S economist A.Charnes et al to appraise relative validity of decision making unit in 1978,which is an econometrics method
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
