Farmland fragmentation is a typical feature of arable land use in the economies dominated by smallholder production mode, and scientific evaluation of farmland fragmentation is an effective and crucial process to find and solve problems. Farmland fragmentation, as a kind of long‐standing physiographic landscape and agricultural economic phenomenon under the comprehensive effect of “human‐land‐property rights”, not only contains the scale status and spatial distribution of cultivated patches but also is featured with farming and tenure right. However, the theoretical interpretation of the multidimensional characteristics of farmland fragmentation was insufficient, and it was rare to evaluate the farmland fragmentation based on plot scale. To this end, an evaluation framework of farmland fragmentation with four dimensions and 12 indicators was constructed in this paper. Moreover, regarding Minqing County located in China's southeast coast as a case, empirical research was thus conducted. The findings indicated that the physical properties of farmland patches were depicted through scale fragmentation. Spatial fragmentation represented the spatial distribution of farmland patches. Farming fragmentation revealed agricultural production and management differences while tenure fragmentation embodied the tenure rights segmentation induced by the land distribution system. Farmland fragmentation consolidation was an effective way to solve these issues, and some differential tactics should be conducted in accordance with the path of “zoning types–obstacle factors–consolidation directions–treatment measures”.
The aging population is a common problem faced by most countries in the world. This study uses 18 years (from 2002 to 2019) of panel data from 31 regions in China (excluding Hong Kong, Macao, and Taiwan Province), and establishes a panel threshold regression model to study the non-linear impact of the aging population on economic development. It is different from traditional research in that this paper divides 31 regions in China into three regions: Eastern, Central, and Western according to the classification standard of the National Bureau of Statistics of China and compares the different impacts of the aging population on economic development in the three regions. Although this study finds that the aging population promotes the economy of China’s eastern, central, and western regions, different threshold variables have dramatically different influences. When the sum of export and import is the threshold variable, the impact of the aging population on the eastern and the central region of China is significantly larger than that of the western region of China. However, when the unemployment rate is the threshold variable, the impact of the aging population on the western region of China is dramatically higher than the other regions’ impact. Thus, one of the contributions of this study is that if the local government wants to increase the positive impact of the aging population on the per capita GDP of China, the local governments of different regions should advocate more policies that align with their economic situation rather than always emulating policies from other regions.
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