scholarly journals The evolution of cultivated land utilization efficiency and its influencing factors in Nanyang Basin

2021 ◽  
Vol 36 (3) ◽  
pp. 688
Author(s):  
Zheng-xin JI ◽  
Xiu-li WANG ◽  
Ling LI ◽  
Xiao-ke GUAN ◽  
Lin YU ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Utilization Efficiency ◽  
Cultivated Land ◽  
Land Utilization

scholarly journals Temporal-Spatial Differentiation and Optimization Analysis of Cultivated Land Green Utilization Efficiency in China

Land ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 158 ◽  
Author(s):  
Qianru Chen ◽  
Hualin Xie
Keyword(s):  
Influencing Factors ◽  
Carbon Emissions ◽  
Spatial Differentiation ◽  
Utilization Efficiency ◽  
Added Value ◽  
Scale Model ◽  
Eastern Region ◽  
Cultivated Land ◽  
Land Utilization ◽  
Extension System

Cultivated land is closely related to national food security, rural economic development and social stability. The cultivated land pollution and carbon emissions caused by chemical fertilizers, pesticides, film residues, etc., in the process of cultivated land utilization pose a serious threat to the cultivated land ecosystem in China. The comprehensive analysis on the cultivated land green utilization efficiency (GUECL), its influencing factors, and optimization direction provides a valuable basis for the green utilization of cultivated land. Based on a panel data of 30 provinces (cities or districts) in China from 2001 to 2016, the GUECL in China under the constraints of pollution and carbon emissions was measured by using a super-efficient SBM-VRS (slack based model-variable return to scale) model. The influencing factors and optimization directions of the GUECL were analyzed through the Tobit model and slack values, respectively. The results show that the GUECL in China rose with fluctuations from 2001 to 2016. Since 2014, the eastern region has surpassed the western region and has become the region with the highest mean GUECL value. The room for resource conservation and pollution reduction varies in different regions of China. Farmers’ dependence on cultivated land and agricultural added value are positively related to the GUECL in China. Farmers’ occupational differentiation, agricultural machinery density, and agricultural disaster rate have had negative effects on the GUECL in China. The loss of the GUECL in China is mainly due to the redundancies of land input, pollution emission, and mechanical input. By analyzing these influencing factors and optimization directions, it is concluded that improving rural land transfer market and agricultural infrastructure construction, establishing a new agricultural technology extension system, and vigorously cultivating new professional farmers are the targeted measures to improve the GUECL.

scholarly journals The Spatial and Temporal Characteristics of Cultivated Land Utilization in Chengdu-Chongqing Urban Agglomeration

2018 ◽  
Vol 175 ◽  
pp. 04001
Author(s):  
Xiao Yuejie ◽  
Tang Honga
Keyword(s):  
Comprehensive Evaluation ◽  
Dynamic Change ◽  
Efficiency Index ◽  
Urban Agglomeration ◽  
Utilization Efficiency ◽  
Cultivated Land ◽  
Land Utilization ◽  
Ecological Benefits ◽  
Ecological Benefit ◽  
Environment Control

Based on the data of economic, social and ecological benefits of cultivated land in Chengdu-Chongqing urban agglomeration from 2005 to 2014, this paper applies multi-factor comprehensive evaluation model and ArcGIS spatial analysis method to explore the dynamic change and regional difference of the cultivated land use efficiency of Chengdu-Chongqing urban agglomeration. The results showed that the overall efficiency index of cultivated land utilization in Chengdu-Chongqing urban agglomeration, except the economic benefit index, is rising steadily year by year. Among them, the fluctuation of ecological benefit is the most significant, and in 2010 and 2013, there appeared obvious trough. The utilization efficiency of cultivated land in different cities is relatively large, and in terms of distribution pattern, northwest is high, southeast low. The farmland utilization comprehensive efficiency high value district is Ziyang city, Chengdu city and Meishan city. In the future, the Chengdu-Chongqing urban agglomeration should pay more attention to the improvement of agro-ecological environment, control the application of pesticides and fertilizers, and promote the coordinated development of the economic, social and ecological benefits of cultivated land.

scholarly journals Study on Land Consolidation Zoning in Hubei Province Based on the Coupling of Neural Network and Cluster Analysis

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 756
Author(s):  
Pengnan Xiao ◽  
Chong Zhao ◽  
Yong Zhou ◽  
Haoyu Feng ◽  
Xigui Li ◽  
...  
Keyword(s):  
Land Reclamation ◽  
Indicator System ◽  
Hubei Province ◽  
Land Evaluation ◽  
Utilization Efficiency ◽  
Land Consolidation ◽  
Cultivated Land ◽  
Land Utilization ◽  
Real Situation ◽  
The Real

Land consolidation zoning is the basis of land reclamation planning and provides a precondition for land management work. Zoning is beneficial to scientific decision-making regarding the use of cultivated land resources, and helps to ensure the quality and production level of cultivated land. Hence, land consolidation zoning is of national significance in terms of safeguarding food security. In this paper, an indicator system for land evaluation and zoning is described based on indicators of natural ecological conditions, socioeconomic conditions, land-use conditions, and the land consolidation potential of Hubei province. The application of self-organizing maps and Hierarchical clustering results in 11 and 12 categories, respectively. After comparing and adjusting these results according to the real situation and key points in the land consolidation of each zone, seven integrated categories are determined. Finally, the land consolidation zoning scheme for these seven integrated partitions is shown to be suitable for Hubei province and in line with the real situation. The proposed scheme offers support for land remediation in a coordinated and orderly way, and provides a scientific basis for improving land utilization efficiency and grain production capacity in Hubei province.

scholarly journals Investigating the Spatiotemporal Disparity and Influencing Factors of Urban Construction Land Utilization Efficiency: Empirical Evidence from Panel Data of China

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Qingfeng Zhou ◽  
Xianqiang Wu ◽  
Xian Zhang ◽  
Yan Song
Keyword(s):  
Influencing Factors ◽  
Gini Coefficient ◽  
Utilization Efficiency ◽  
Land Utilization ◽  
Urbanization Level ◽  
Construction Land ◽  
Gini Coefficients ◽  
Urban Construction ◽  
Evolution Pattern ◽  
Land Urbanization

This paper corrected the long-term misunderstanding of the land utilization efficiency concept. The Undesirable-Window-DEA model, Dagum Gini coefficient, and spatial panel autoregressive model with fixed effect were used to explore the spatial heterogeneity and influencing factors of urban construction land utilization efficiency in China from 2004 to 2016. The results show the following: (1) China’s overall utilization of urban construction land is still at a low level. It decreased first and then rose, with a “flat V-shaped” evolution pattern. (2) During the study period, the Gini coefficient of urban construction land utilization efficiency for all provinces decreased first, then rose, and decreased again. The utilization efficiency Gini coefficients within provincial grouping were eastern region (0.063), central region (0.101), and western region (0.128). The Gini coefficients within provincial grouping were central versus western (0.121), eastern versus western (0.161), and eastern versus central (0.168). For the contribution to overall inequality of land utilization efficiency, the inequality within groups contributes the most (57.57%), and the inequality between groups accounts for about 25.62%. The overall efficiency is improved, with an evolution pattern of “difference narrowed–differences expanded–difference narrowed.” (3) “economic development,” “industrial structure,” “research development investment,” and “land urbanization level” have significantly positive effect on urban construction land utilization efficiency, while other factors have a negative effect, including “urbanization level of population,” “urban population density,” “cultivated field resources level,” “government influence level,” “land urbanization level,” and “financial dependence level.” This study could provide theoretical support for the implementation of cross-provincial/regional urban construction land quotes reallocation and differential construction land management policies.

scholarly journals How to Evaluate the Green Utilization Efficiency of Cultivated Land in a Farming Household? A Case Study of Shandong Province, China

Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 789
Author(s):  
Yi Qu ◽  
Xiao Lyu ◽  
Wenlong Peng ◽  
Zongfei Xin
Keyword(s):  
Shandong Province ◽  
Utilization Efficiency ◽  
Cultivated Land ◽  
Tobit Regression ◽  
Land Utilization ◽  
Agricultural Insurance ◽  
Average Value ◽  
Green Development ◽  
Unit Output ◽  
Farming Households

The behavior of farming households is the most direct factor involved in the transition of cultivated land utilization from high-input/high-output to green and sustainable utilization mode. Improving farming households’ green utilization efficiency of cultivated land (GUECL) is of great significance in facilitating agricultural green development in China. However, there are few studies on GUECL based on the micro-perspective of farming households that cover the comprehensive benefits to the economy, ecology, and society. This paper builds a theoretical analysis framework of farming households’ green utilization of cultivated land and uses the super-efficiency EBM model and a questionnaire to conduct an empirical analysis of 952 farming households in Shandong Province to evaluate the green utilization efficiency of cultivated land. The results show that the GUECL of the farming households is generally not high, with an average value of 0.67, and can be further improved. The higher the GUECL, the lower the input and undesired output per unit yield and per unit output value. Tobit regression results show that a farming household’s per capita income is significantly positively correlated with the GUECL, while agricultural insurance, agricultural subsidies, cultivated land scale, cultivated land fragmentation, and regional economic level are significantly negatively correlated with the GUECL. In addition, recommendations can be made on promoting and innovating agricultural green development technology, popularizing and publicizing farming households’ thoughts on the green utilization of cultivated land, and ensuring and improving rural green life so as to provide a reference for promoting green transition of cultivated land utilization with diversified coordination and multiple measures.

scholarly journals Spatial Distribution and Land Use of Traditional Villages in Southwest China

2021 ◽  
Vol 13 (11) ◽  
pp. 6326
Author(s):  
Xiye Zheng ◽  
Jiahui Wu ◽  
Hongbing Deng
Keyword(s):  
Cultural Heritage ◽  
Influencing Factors ◽  
Landscape Pattern ◽  
Southwest China ◽  
Spatial Clustering ◽  
Interaction Mechanism ◽  
Cultivated Land ◽  
River Population ◽  
Local Conditions ◽  
Countermeasures And Suggestions

Traditional villages are the historical and cultural heritage of people around the world. With the increases in urbanization and industrialization, the continuation of traditional villages and the inheritance of historical and cultural heritage are facing risk. Therefore, to grasp the spatial characteristics of them and the human–nature interaction mechanism in Southwest China, we analyzed the distribution pattern of traditional villages using the ArcGIS software. Then, we further analyzed the spatial clustering characteristics, influencing factors and landscape pattern, and put forward relevant protection countermeasures and suggestions. The results revealed that traditional villages in Southwest China were clustered, being mainly distributed in areas with relatively low elevation, gentle slopes, low relative positions, nearby water sources, and convenient transportation. They can be divided into four categories due to obvious differences in influencing factors such as elevation, slope, relative position, distance to the nearest river, population density, etc. The landscape pattern of traditional villages differed among the different clusters, being mainly composed of forests, shrubs, and cultivated land. With the increase in the buffer radius, the landscape pattern of them changed significantly. The results of this study reflect that traditional villages and the natural environment are interdependent, so the protection of traditional villages should carry out measures according to local conditions.

scholarly journals Cultivated Land Use Layout Adjustment Based on Crop Planting Suitability: A Case Study of Typical Counties in Northeast China

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 107
Author(s):  
Ge Song ◽  
Hongmei Zhang
Keyword(s):  
Land Use ◽  
Northeast China ◽  
Utilization Efficiency ◽  
Food Crops ◽  
Cultivated Land ◽  
Gis Technology ◽  
Land Use Patterns ◽  
Production Area ◽  
Structural Imbalance ◽  
Crop Planting

Cultivated land use layout adjustment (CLULA) based on crop planting suitability is the refinement and deepening of land use transformation, which is of great significance for optimizing the allocation of cultivated land resources and ensuring food security. At present, people rarely consider the land suitability of crops when using cultivated land, resulting in an imbalance between crop distribution and resource conditions such as water, heat, and soil, and adversely affects the ecological security and utilization efficiency of cultivated land. To alleviate China’s grain planting structural imbalance and efficiency loss, this paper based on the planting suitability of main food crops (rice, soybean, and maize) to adjust and optimize the cultivated land use layout (CLUL) in the typical counties of the main grain production area in Northeast China, using the agent-based model for optimal land allocation (AgentLA) and GIS technology. Findings from the study show that: (1) The planting suitability of rice, soybean, and maize in the region is obviously different. Among them, the suitability level of soybean and maize is high, and that of rice is low. The current CLUL of the food crops needs to be further optimized and adjusted. (2) By optimizing the layout of rice, soybean, and maize, the planting suitability level of the food crops and the concentration level of the CLUL spatial pattern have been improved. (3) The plan for CLULA is formulated: The study area is divided into rice stable production area, maize-soybean rotation area, maize dominant area, and soybean dominant area, and town or village is identified as the implementation unit of CLULA. The plan for CLULA will be conducive to the concentrated farming of food crops according to the suitable natural conditions and management level. The research realized the optimization of spatial structure and cultivated land use patterns of different food crops integrating farming with protecting land. The significance of the study is that it provides a scientific basis and guidance for adjusting the regional planting structure and solving the problem of food structural imbalance.

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