Research On Rural Land Circulation Based On The Interests Of The Game

Thirty years of reform and opening up, the rural household contract responsibility system to promote economic and social development in rural areas, improve the level of agricultural modernization, and consolidating the fundamental status of agriculture, improving their living standards has played a significant role. With the development of the productive forces and the progress of the times, the traditional household contract responsibility system more suited to modern small-scale business model of industrialization and urbanization development needs. For further improve the living standards of farmers and further modernization of agricultural development, rural economic and social development of further consideration must be developed to optimize land policies related to land tenure and rural land resources, how to develop and improve the rural land circulation system a top priority.Any kind of institutional arrangements are various central and local stakeholders under existing conditions, the results of the game. Under state law and local norms different rules system, will form the different interests of the game pattern. Rural Land behind the existence of differences in interests, so that the central and local usually stand different social, political, economic considerations will make different choices interests. As a direct participant in the transfer of rural land, the grass-roots government, land flowing into the square, the land outflow side of the circulation of rural land use right stance taken based on interest demands, each will choose what kind of strategies to promote or restrict land transfer, the land transfer process exactly what the crux of the problem, all stakeholders will lead to what the final result of the game is to study the current problems of rural land circulation issues that need attention. Among them, the key to improve the rural land circulation system lies in how to weigh the interests and values, thereby maximizing the participation of all the main interests of the game, Nash equilibrium is reached. Based on this, this study of rural land circulation revenue of the participating subjects, causes the game, and the results of analysis of the game, trying to find land transfer policy from the problems in the game process and make sound land transfer system, policy advice mechanisms.This paper consists of seven chapters.Chapter1:Introduction. Meaning introduces research background and research, analyzes research status at home and abroad for the land transfer issue, outlining the research methods of the present paper.Chapter2:study theoretical basis of the subject land transfer interests of the game. Theory is a guide to research. This chapter introduces this thesis involved in the writing process theory, including game theory, social capital theory, the theory of land policy and institutional change theory.Chapter3:The central government and local government interests Game Analysis. This chapter describes the macro level the two main interests of the game, the central government and local government policy choice in the interests of the game, and the game’s final result.Chapter4:Rural Land each game analysis between subjects involved. This chapter from the perspective of a microscopic analysis of rural land circulation to the game between stakeholders, describes the three main game:grass-roots government, land inflow side, the land outflow side, and clearly the benefits of each subject, through the establishment of game model, deduce conclusions.Chapter5:land transfer process, the existing problems. This chapter from the central government, local governments and their land out of the tripartite analysis of the land transfer process of the existing problems.Chapter6:land transfer problem solving strategies. This chapter is mainly a problem for the fifth chapter analyzes each proposed solution.Chapter7:Summary section. The main text of the logical framework for a summary, while the prospect that there will be other people deeper learning for future research.