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The hilly areas of China have experienced soil erosion and are also typical land consolidation (LC) regions. Using the RUSLE model and the multiple regression model, this study evaluated the soil erosion of agricultural land and assessed the effects of LC on soil erosion in Lishui District, a typical district in the Ning-Zhen-Yang hilly area. The soil erosion of agricultural land ranged from 0 to 385.77 t·ha−1·yr−1 with spatial heterogeneity due to the topography, land cover, and vegetation cover. Overall, carrying out LC reduced soil erosion due to the construction of protection forests, farmland shelterbelts, and different kinds of land engineering. Furthermore, the different types of LC had different impacts on soil erosion, where farmland consolidation resulted in more serious soil erosion than land development. Nevertheless, the potential risks brought by LC to soil erosion reduction could not be overlooked, and more attention should be paid to ecological environment protection during the process of LC. This study presents findings regarding the positive impacts and potential risks of LC for soil erosion reduction in agricultural land in hilly areas.
Yanyuan Zhang; Cong Xu; Min Xia. Can Land Consolidation Reduce the Soil Erosion of Agricultural Land in Hilly Areas? Evidence from Lishui District, Nanjing City. Land 2021, 10, 502 .
AMA StyleYanyuan Zhang, Cong Xu, Min Xia. Can Land Consolidation Reduce the Soil Erosion of Agricultural Land in Hilly Areas? Evidence from Lishui District, Nanjing City. Land. 2021; 10 (5):502.
Chicago/Turabian StyleYanyuan Zhang; Cong Xu; Min Xia. 2021. "Can Land Consolidation Reduce the Soil Erosion of Agricultural Land in Hilly Areas? Evidence from Lishui District, Nanjing City." Land 10, no. 5: 502.
Analyzing and understanding land use decisions of government, peasant households and enterprises could help modeling agricultural land use change, which has taken place in China during the past thirty years. Taking Guanlin town, Yixing city, China as a case, land use data in 4 periods from 2006 to 2015 were used for analyzing agricultural land use change. With the consideration of land use decisions of government, peasant households and enterprises, agricultural land use change in 2021 and 2030 of the study area were modeled by coupling CA and MAS. The results showed that agricultural land area decreased in 2006–2009 and then increased in 2009–2015, with an overall increase of 5.13 km2. Paddy fields, aquaculture surface and rainfed cropland were converted most frequently. Government was the main planner and key decision maker of agricultural land use, which guides the allocation and use of agricultural land. Peasant households participated in the adjustment of agricultural land with the authorization of the government, and their decisions were influenced by traffic accessibility, irrigation and drainage condition, land quality, land rent and distance to residential land. Enterprises participated in the adjustment of industrial land with the supervision of the government, which indirectly affecting agricultural land use. The main factors affecting their site selection decision were environmental quality, land price, transportation conditions and public facilities conditions. The modeling results indicated that agricultural land area would decrease by 4.74 km2 from 2015 to 2030. Cultivated land had an accelerating decrease trend while aquaculture surface increased continuously. These results provide reference for the research of agricultural land use change and the decision of rural land management.
Min Xia; Yanyuan Zhang; Zihong Zhang; Jingjie Liu; Weixin Ou; Wei Zou. Modeling agricultural land use change in a rapid urbanizing town: Linking the decisions of government, peasant households and enterprises. Land Use Policy 2019, 90, 104266 .
AMA StyleMin Xia, Yanyuan Zhang, Zihong Zhang, Jingjie Liu, Weixin Ou, Wei Zou. Modeling agricultural land use change in a rapid urbanizing town: Linking the decisions of government, peasant households and enterprises. Land Use Policy. 2019; 90 ():104266.
Chicago/Turabian StyleMin Xia; Yanyuan Zhang; Zihong Zhang; Jingjie Liu; Weixin Ou; Wei Zou. 2019. "Modeling agricultural land use change in a rapid urbanizing town: Linking the decisions of government, peasant households and enterprises." Land Use Policy 90, no. : 104266.
Analyzing the spatial-temporal changes of resources–based industrial land is essential to the transformation and development of resources–exhausted cities. In this paper, we studied coal resources–based industrial land use changes and their driving factors in a typical coal resources–exhausted city, Anyuan District, Pingxiang city. The changes between coal resources–based industrial land and other land-use types were analyzed. The logistic regression models were applied to identify the main driving factors and quantify their contributions to coal resources–based industrial land-use changes during the two periods of 2003–2008 and 2008–2013. The results show that coal resources–based industrial land declined by 34.37% during the period 2008–2013 as coal resources were being exhausted. Altitude, distance to roads, distance to town, population density change, fixed-asset investment per area change, and GDP per capita change drove coal resources–based industrial land-use changes. However, the patterns of the driving effects differed, and even the same factors had different influences on coal resources–based industrial land-use changes during the two periods. The changes in the driving factors can be seen as responses to socioeconomic transformation and development in the city, which is experiencing the exhaustion of coal resources. As a result of the comprehensive effects of these driving factors, coal resources–based industrial land use has changed in complex ways.
Bo Wen; Yunhua Pan; Yanyuan Zhang; Jingjie Liu; Min Xia. Does the Exhaustion of Resources Drive Land Use Changes? Evidence from the Influence of Coal Resources-Exhaustion on Coal Resources–Based Industry Land Use Changes. Sustainability 2018, 10, 2698 .
AMA StyleBo Wen, Yunhua Pan, Yanyuan Zhang, Jingjie Liu, Min Xia. Does the Exhaustion of Resources Drive Land Use Changes? Evidence from the Influence of Coal Resources-Exhaustion on Coal Resources–Based Industry Land Use Changes. Sustainability. 2018; 10 (8):2698.
Chicago/Turabian StyleBo Wen; Yunhua Pan; Yanyuan Zhang; Jingjie Liu; Min Xia. 2018. "Does the Exhaustion of Resources Drive Land Use Changes? Evidence from the Influence of Coal Resources-Exhaustion on Coal Resources–Based Industry Land Use Changes." Sustainability 10, no. 8: 2698.
As China continues to experience rapid urbanization, understanding the distribution of rural household consumption presents important policy implications. We take a sample of 15,606 households from the National Rural Fixed Observation Point Survey conducted by China's Ministry of Agriculture in 2010. A consistent two‐step estimation based on the quadratic almost ideal demand system model is used to assess the distribution of living expenses across eight categories of goods and services. Results show that the price elasticity of food, clothing, and transportation and communication is relatively low, whereas that of durable goods, fuel, health and medicine, culture and education, and others is high. Demographic and regional variables also considerably affect living expenses. Our conclusions can serve as significant reference for evaluating changes in consumption structure and farmers’ welfare during the course of modernization in China. This type of analysis may also be conducted in other developing countries in general. En raison de la forte accélération de l'urbanisation en Chine, une meilleure compréhension de la distribution des dépenses de consommation des ménages ruraux permettra d’élaborer de meilleures politiques. Dans la présente étude, nous avons constitué un échantillon de 15 606 ménages à partir de l'enquête National rural Fixed Observation Point réalisée par le ministère de l'Agriculture de la Chine en 2010. Nous avons appliqué une méthode d'estimation en deux étapes, fondée sur le modèle QUAIDS (système de demande presque parfait quadratique), pour évaluer la distribution des frais de subsistance dans huit catégories de biens et services. Les résultats de notre étude ont montré que l’élasticité‐prix des aliments, de l'habillement, du transport et des communications est relativement faible, tandis que celle des biens durables, du carburant, des soins de santé et des médicaments, de la culture et de l’éducation, entre autres, est élevée. Les variables démographiques et régionales ont également un impact considérable sur le niveau des dépenses. Les conclusions de notre étude peuvent servir de référence pour évaluer les changements qui touchent la structure de la consommation et le bien‐être des agriculteurs durant la modernisation de la Chine. Ce genre d'analyse peut également être appliqué à d'autres pays en développement.
Tao Tan; Yanyuan Zhang; Bo Wen; Xinwen Zhang; Jintao Zhan. Household Consumption Distribution in Rural China: A Consistent Two-Step Estimation. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 2016, 65, 119 -133.
AMA StyleTao Tan, Yanyuan Zhang, Bo Wen, Xinwen Zhang, Jintao Zhan. Household Consumption Distribution in Rural China: A Consistent Two-Step Estimation. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie. 2016; 65 (1):119-133.
Chicago/Turabian StyleTao Tan; Yanyuan Zhang; Bo Wen; Xinwen Zhang; Jintao Zhan. 2016. "Household Consumption Distribution in Rural China: A Consistent Two-Step Estimation." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 65, no. 1: 119-133.