Spatial Coupling Relationship and Driving Mechanism of Population and Economy in Rural Areas in Qinling-Daba Mountains,China

Addressing the issue of the healthy and coordinated development of the population and economic factors in rural areas will not only help consolidate and expand the achievements of poverty alleviation,but will also lay a foundation for comprehensive rural revitalization.In this paper,the spatial coupling relationship between the population and economic factors in rural areas in the QinlingDaba Mountains,China,is explored to provide a reference for rural revitalization and regional sustainable development in poverty areas.Sixty-eight county units in rural areas in the Qinling-Daba Mountains,as well as the population and economic factors in rural areas,are used to study the spatial coupling relationship between population and economy,as well as the driving mechanism,in rural areas in the Qinling-Daba Mountains from 2010 to 2020.The results show that a population contraction phenomenon occurred in the rural areas in the Qinling-Daba Mountains,and the spatial agglomeration trends of the population and economic factors were consistent.The agglomeration was mainly located in the suburban areas of the municipal area,and the agglomeration degree was significantly higher in these areas than in other areas.In terms of the spatial distribution,the economic development level of the rural areas in the northeastern part of the Qinling-Daba Mountains was generally higher than that in the central and western parts,and the unbalanced trends of the population and economic spatial differentiation in the eastern and western regions were significant.The spatial coupling relationship between the population and economy changed from coordinated development to economic advancement.This was mainly due to the mutual restriction and joint actions of the industrial structure,capital situation,natural environment,policies,and institutional regulations,among which the industrial structure and capital status had significant effects.

The Model of Indirect Pricing Transactions and the New Boundaries of the Sharing Economy

In recent years,the sharing economy has become more prevalent in many lives.While bringing convenience to the public,it has also improved resource efficiency,thus gradually driving economic development.By studying indirect pricing transactions,the authors have discovered a new sort of sharing economics which may be able to resolve the issue presented by intangible assets(such as entrepreneurship)and provide new ideas for addressing social problems.Compared with the traditional sharing economy,this new economic pattern has wider potential utility.The authors hold that their indirect pricing theory establishes the theoretical foundation of new sharing economics,while the model of indirect-pricing transaction extends the boundaries for the existing sharing economy.

Impact of farmer households＇ livelihood assets on their options of economic compensation patterns for cultivated land protection

With rapid urbanization and the socio-economic transformation, cultivated land protection has gradually become a major concern in China. The economic compensation plays a crucial role in promoting cultivated land protection and improving the utilization ratio of cultivated land. Farmer household＇s satisfaction has a great influence on the effectiveness of compensation. Therefore, households＇ willingness to select the economic compensation pattern for cultivated land protection has been considered and re-examined. By employing Participatory Rural Appraisal method （PRA）, 3 villages and 392 households were investigated and sampled in mesa and hilly areas of Chongqing. Then a quantitative analysis framework of household livelihood hexagon has been developed to quantify the livelihood assets of differ- ent farmer households. Finally, the Gray Relation Model and Probit Regression Model have been employed to explore the coupling relationship between the household livelihood assets and their compensation pattern options. The results show that there are both qualitative and spatial heterogeneity in household livelihood assets. We found that the inequality of livelihood assets is evident for five household types. There is a spatial trend that the higher the eleva- tion, the less livelihood assets are. In addition, their options of economic compensation pat- tern vary from Chengdu Pattern to Foshan Pattern due to their difference in livelihood assets and difference in location. In detail, there is a coupling relationship between household live- lihood assets and their compensation pattern; negative correlation is observed between natural assets value and household pattern options, while the other livelihood assets have positive impacts on compensation pattern in varying degrees, which from the top are psy- chological assets, human assets, physical assets, financial assets, and social assets respec- tively. A conceptual compensation pattern system has been designed to meet the demands for farmer households mainly according to their shortage in livelihood assets. In addition, compensation method, compensation standard, the basis of compensation and the source of compensation funds have been proposed accordingly.

Causes of China’s current economic development pattern

At the beginning of the 21st century,China’s economy entered a period of rapid growth and current economic development pattern was formed.Despite the rapid growth of the economy,the current development pattern has caused divergence from the aim of development,stagnation of the means of development,and distortion of the drivers of development.The cause of the current economic development pattern is one where market-oriented reforms are pushing local governments to shift roles from profit entities to market entities,but local governments are failing to undertake the responsibilities of the market and have been exceeding their authority,ignoring their roles,or misplacing their efforts for some time.If the current economic development pattern is not changed,China could either fall into the“middle-income trap”or the“resource-exhaustion trap.”