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耕地地块细碎程度及其对山区农业生产成本的影响
引用本文:王亚辉,李秀彬,辛良杰.耕地地块细碎程度及其对山区农业生产成本的影响[J].自然资源学报,2019,34(12):2658-2672.
作者姓名:王亚辉  李秀彬  辛良杰
作者单位:1. 西南大学地理科学学院,重庆 4007152. 中国科学院地理科学与资源研究所,北京 1001013. 中国科学院大学,北京 100049
基金项目:教育部人文社会科学研究青年基金项目(19XJCZH006);国家自然科学基金项目(41901232,41571095);重庆市社会科学规划项目(2018BS59);中央高校基本科研业务费项目(swu118054)
摘    要:在务农成本持续上涨和省工性技术普及的背景下,山区地块细碎化逐渐成为抑制农民增收的重要因素。厘清山区耕地细碎程度及其对农业生产的影响,对于降低农业生产成本具有指导价值。基于重庆市武隆区、巫山县和酉阳县的1015份农户调研数据,分别从地块权属和空间分布两个角度测算耕地细碎程度,并采用半对数经济计量模型评估耕地细碎差异对农业生产成本的影响。结果表明:研究区耕地细碎程度严重,辛普森指数和地块距离指数分别为0.71和0.19,户均耕地面积6.19亩、地块数8.89块,地块与家庭平均相距430 m,即呈现出“块数多、规模小和距离短”的特征;耕地细碎程度加剧提高了农业生产成本,当辛普森指数和地块距离指数每增加一个标准差时,单位产量总成本依次上升33.8%和16.6%;具体到各单项成本,耕地细碎程度加剧显著提高了劳动力、化肥和种子成本,而限制机械及其他要素的使用。分作物的实证显示,耕地细碎化效应存在明显的作物异质性。此外,优质耕地能缓解地块细碎带来的成本上升,同时扩大地块面积有助于降低生产成本。政策启示:降低农业经营成本是缓解山区耕地撂荒的重要举措,政府应建立低成本的农地流转网络,并鼓励农户或村庄之间的土地互换,提高地块规模和减少耕作距离,同时政府还应推广和普及适合山区农业的微耕机械。

关 键 词:耕地细碎化  山区  农业成本  撂荒  土地流转  
收稿时间:2019-07-12
修稿时间:2019-09-24

Characteristics of cropland fragmentation and its impact on agricultural production costs in mountainous areas
WANG Ya-hui,LI Xiu-bin,XIN Liang-jie.Characteristics of cropland fragmentation and its impact on agricultural production costs in mountainous areas[J].Journal of Natural Resources,2019,34(12):2658-2672.
Authors:WANG Ya-hui  LI Xiu-bin  XIN Liang-jie
Institution:1. School of Geographical Sciences, Southwest University, Chongqing 400715, China2. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China3. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:Under the background of the continuous increase of agricultural cost and the wide use of labor-saving technology, in the mountainous areas, cropland fragmentation has gradually become a key factor to curb the increase of farmers' income. The clarification of the degree of cropland fragmentation and its impact on agricultural production cost has guiding value for reducing agricultural costs. Degree of cropland fragmentation was measured from the perspective of land ownership and spatial distribution, and the semi-logarithm econometric models were developed to evaluate the impact of land fragmentation on agricultural costs based on the field survey data of 1015 farm households in counties of Wulong, Wushan and Youyang of Chongqing, China. The results showed that the cultivated land in the study areas was severely fragmented, with the Simpson Index and the Plot Distance Index being 0.71 and 0.19, respectively. The cropland area per farm household was 6.19 mu, the number of parcels was 8.89 and the distance between the parcels and families was about 430 m, the characteristics of cropland fragmentation demonstrated "more parcels, small scale and short distance". The increased degree of cropland fragmentation has improved the production cost of agriculture. When the Simpson Index and the Plot Distance Index increased by one standard deviation, the total cost per unit of production increased by 33.8% and 16.6%, respectively. To be specific, the increased degree of land fragmentation has significantly increased labor, fertilizer and seed costs, while limiting the use of machinery and other factors. The study further found the heterogeneity in the impact of land fragmentation on production costs in different crops. In addition, high-quality cropland can alleviate the cost increase caused by the fragmentation of the plots, while expanding the scale of the plots will help to reduce production costs. The policy enlightenment was that reducing agricultural operation costs was an important measure to alleviate the cropland abandonment in mountainous areas. The government should establish a low-cost cropland transfer network and encourage land exchange between farmers or villages to expand the size of the plots and reduce the distance of cultivation, and the government should also promote the wide use of micro-farming machinery suitable for mountain agriculture.
Keywords:cropland fragmentation  mountainous area  agricultural cost  land abandonment  land circulation  
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