干旱区主要农作物生产时空格局演化及影响因素分析——以新疆地区为例
收稿日期: 2024-03-26
修回日期: 2024-04-15
网络出版日期: 2025-03-14
基金资助
国家社会科学基金项目(24XTJ003);新疆西甜瓜产业技术体系项目(XJARS-06);新疆维吾尔自治区高校基本科研业务费科研项目(XEDU2024J045);新疆社会经济统计与大数据应用研究中心项目(XJEDU2023J004);2024年新疆维吾尔自治区研究生教育创新计划项目(XJ2024G118)
Spatio-temporal pattern evolution and influencing factors of main crops production in arid region: A case of Xinjiang
Received date: 2024-03-26
Revised date: 2024-04-15
Online published: 2025-03-14
干旱区农业由于独特的资源环境约束,在区域社会经济、生态文明建设过程中具有重要的作用。以新疆为例,在县域尺度运用重心迁移模型、区位基尼系数、比较优势指数、全局莫兰指数等方法,探析2000—2020年新疆6类主要农作物生产时空格局演变特征与影响因素。结果表明:(1) 2000—2020年新疆农业种植规模不断扩大,主要农作物生产之间形成了棉蔬果“进”、粮油糖“退”的基本竞争态势。(2) 6类主要农作物的生产重心聚集于区域内中西部,且棉花、蔬菜、瓜果生产集聚程度不断增强,生产规模向少数县域聚集。(3) 在全国层面新疆主要农作物生产均具有效率比较优势,棉花、糖料、瓜果生产兼具规模比较优势和综合比较优势,尤其是棉花生产的规模比较优势十分显著。在本地区层面新疆多数县域主要农作物生产不具有比较优势,且部分具有比较优势的县域也主要以规模主导优势为主。(4) 政策引导、技术进步及农民收入的增加是影响区域主要农作物生产格局演变的重要因素。
王福红 , 夏咏 . 干旱区主要农作物生产时空格局演化及影响因素分析——以新疆地区为例[J]. 干旱区地理, 2025 , 48(3) : 444 -454 . DOI: 10.12118/j.issn.1000-6060.2024.201
Agriculture in arid regions plays a vital role in advancing local socio-economic development and ecological sustainability, given the unique resource and environmental constraints. This study examines Xinjiang, China, as a case study, utilizing the center of gravity transfer model, locational Gini coefficient, comparative advantage index, and global Moran’s I index at the county level to analyze the spatio-temporal evolution and influencing factors of the six major crops from 2000 to 2020. The results indicate that: (1) Xinjiang’s agricultural planting scale has been growing steadily from 2000 and 2020, and cotton, vegetables, and melons “advancing”, grain, oil, and sugar crops “restreating” constitute the basic competitive situation of the major crops. (2) The production centers for the six major crops are predominantly located in the central and western regions of Xinjiang. The concentration of cotton, vegetables, and melon production has steadily increased, with production becoming concentrated in a relatively small number of counties. (3) At the national level, all six major crops exhibit efficiency comparative advantages. Cotton, sugar, and melon production demonstrate both scale and comprehensive comparative advantages, with cotton showing a particularly pronounced scale advantage. At the regional level, most counties in Xinjiang lack comparative advantages in crop production. Counties with comparative advantages are primarily scale-dominated. (4) The evolution of Xinjiang’s crop production pattern has been influenced by several critical factors, including policy directives, technological advancements, and rising farmer incomes.
Key words: crops; spatio-temporal pattern; comparative advantage; arid region; Xinjiang
[1] | Liu S, Lei P F, Li X, et al. A nonseparable undesirable output modified three-stage data envelopment analysis application for evaluation of agricultural green total factor productivity in China[J]. Science of the Total Environment, 2022, 838: 155947, doi: 10.1016/j.scitotenv.2022.155947. |
[2] | 杜蓉, 柳思维, 蔡荣. 中国粮食空间生产格局演变特征及其驱动机制[J]. 经济问题, 2023(8): 92-102. |
[Du Rong, Liu Siwei, Cai Rong. The characteristics and driving mechanism of China’s grain spatial production pattern evolution[J]. On Economic Problems, 2023(8): 92-102. ] | |
[3] | 陈晓艺, 姚筠, 霍彦峰, 等. 安徽省主要气象灾害趋势演变及其对粮食总产的影响[J]. 长江流域资源与环境, 2020, 29(10): 2285-2295. |
[Chen Xiaoyi, Yao Yun, Huo Yanfeng, et al. Trends of four major meteorological disasters and the impacts on grain yield in Anhui Province[J]. Resources and Environment in the Yangtze Basin, 2020, 29(10): 2285-2295. ] | |
[4] | 屠爽爽, 简代飞, 龙花楼, 等. 广西主要农作物生产格局演变特征与机制研究[J]. 地理学报, 2022, 77(9): 2322-2337. |
[Tu Shuangshuang, Jian Daifei, Long Hualou, et al. Evolution characteristics and mechanism of major crops production patterns in Guangxi[J]. Acta Geographica Sinica, 2022, 77(9): 2322-2337. ] | |
[5] | Liu Y, Yuan X L, Li J X, et al. Trade-offs and synergistic relationships of ecosystem services under land use change in Xinjiang from 1990 to 2020: A Bayesian network analysis[J]. Science of the Total Environment, 2023, 858: 160015, doi: 10.1016/j.scitotenv.2022.160015. |
[6] | 国家统计局. 中国统计年鉴2023[M]. 北京: 中国统计出版社, 2023. |
[National Bureau of Statistics of China. China statistical yearbook 2023[M]. Beijing: China Statistics Press, 2023. ] | |
[7] | 唐华俊, 吴文斌, 杨鹏, 等. 农作物空间格局遥感监测研究进展[J]. 中国农业科学, 2010, 43(14): 2879-2888. |
[Tang Huajun, Wu Wenbin, Yang Peng, et al. Recent progresses in monitoring crop spatial patterns by using remote sensing technologies[J]. Scientia Agricultura Sinica, 2010, 43(14): 2879-2888. ] | |
[8] | 彭晖, 张嘉望, 李博阳. 我国农产品生产集聚的时空格局及影响因素——以蔬菜生产为例[J]. 西北农林科技大学学报(社会科学版), 2017, 17(6): 81-90. |
[Peng Hui, Zhang Jiawang, Li Boyang. Spatial temporal characteristics and affecting factors of agricultural production agglomeration in China[J]. Journal of Nortuwest A & F University (Social Science Edition), 2017, 17(6): 81-90. ] | |
[9] | 李二玲, 庞安超, 朱纪广. 中国农业地理集聚格局演化及其机制[J]. 地理研究, 2012, 31(5): 885-898. |
[Li Erling, Pang Anchao, Zhu Jiguang. Analysis of the evolution path and mechanism of China’s agricultural agglomeration and geographic[J]. Geographical Research, 2012, 31(5): 885-898. ] | |
[10] | 杨宗辉, 李金锴, 韩晨雪, 等. 我国粮食生产重心变迁及其影响因素研究[J]. 农业现代化研究, 2019, 40(1): 36-43. |
[Yang Zonghui, Li Jinkai, Han Chenxue, et al. The evolution path of China’s grain production base and the influencing factors[J]. Research of Agricultural Modernization, 2019, 40(1): 36-43. ] | |
[11] | Zhen W, Qin Q D, Wei Y M. Spatio-temporal patterns of energy consumption-related GHG emissions in China’s crop production systems[J]. Energy Policy, 2017, 104: 274-284. |
[12] | 李二玲, 胥亚男, 雍雅君, 等. 农业结构调整与中国乡村转型发展——以河南省巩义市和鄢陵县为例[J]. 地理科学进展, 2018, 37(5): 698-709. |
[Li Erling, Xu Ya’nan, Yong Yajun, et al. Agricultural structure adjustment and rural transformation development in China: Taking Gongyi City and Yanling County as examples[J]. Progress in Geography, 2018, 37(5): 698-709. ] | |
[13] | 吴娜琳, 卫怡珂, 李立, 等. 县域非粮作物空间格局及其形成机制——来自河南省宁陵县的实证分析[J]. 地理科学进展, 2023, 42(7): 1298-1310. |
[Wu Nalin, Wei Yike, Li Li, et al. Spatial distribution of non-grain crops and formation mechanism: Empirical analysis of Ningling County, Henan Province[J]. Progress in Geography, 2023, 42(7): 1298-1310. ] | |
[14] | 任频频, 李保国, 黄峰. 农作物种植结构演变下的黄淮海旱作区小麦玉米生产时空格局[J]. 资源科学, 2022, 44(3): 436-449. |
[Ren Pinpin, Li Baoguo, Huang Feng. Spatiotemporal patterns of wheat and maize production under the evolution of crop planting structures in the Huang-Huai-Hai dry farmland, China[J]. Resources Sciences, 2022, 44(3): 436-449. ] | |
[15] | 曹永强, 李维佳, 袁立婷. 河北省主要农作物生产时空格局变化特征及安全评价[J]. 地理科学, 2018, 38(8): 1319-1327. |
[Cao Yongqiang, Li Weijia, Yuan Liting. Spatio-temporal pattern variation and safety evaluation of crops in Hebei Province[J]. Scientia Geographica Sinica, 2018, 38(8): 1319-1327. ] | |
[16] | Liao C, Wang J, Dong T, et al. Using spatio-temporal fusion of Landsat-8 and MODIS data to derive phenology, biomass and yield estimates for corn and soybean[J]. Science of the Total Environment, 2019, 650: 1707-1721. |
[17] | Li J, Lei H. Tracking the spatio-temporal change of planting area of winter wheat-summer maize cropping system in the North China Plain during 2001—2018[J]. Computers and Electronics in Agriculture, 2021, 187: 106222, doi: 10.1016/j.compag.2021.106222. |
[18] | Goffart J P, Haverkort A, Storey M, et al. Potato production in northwestern Europe (Germany, France, the Netherlands, United Kingdom, Belgium): Characteristics, issues, challenges and opportunities[J]. Potato Research, 2022, 65(3): 503-547. |
[19] | Niu Y N, Xie G D, Xiao Y, et al. Spatial layout of cotton seed production based on hierarchical classification: A case study in Xinjiang, China[J]. Agriculture, 2021, 11(8): 1-23. |
[20] | Yang Z N, Tang J J, Yu M, et al. Sustainable cotton production through increased competitiveness: Analysis of comparative advantage and influencing factors of cotton production in Xinjiang, China[J]. Agronomy 2022, 12(10): 22-39. |
[21] | 张志高, 范留飞, 马晓慧, 等. 2007—2015年新疆粮食增产格局及贡献因素研究[J]. 干旱区资源与环境, 2018, 32(9): 71-75. |
[Zhang Zhigao, Fan Liufei, Ma Xiaohui, et al. Spatial-temporal patterns of Xinjiang’s grain output increase and the contribution factors during 2007—2015[J]. Journal of Arid Land Resources and Environment, 2018, 32(9): 71-75. ] | |
[22] | 王福红, 夏咏. 中国耕地集约化利用不平衡不充分特征及成因[J]. 资源科学, 2024, 46(1): 130-144. |
[Wang Fuhong, Xia Yong. Characteristics of unbalanced and inadequate intensive use of cultivated land in China and causes[J]. Resources Science, 2024, 46(1): 130-144. ] | |
[23] | 姚成胜, 杨一单, 殷伟. 中国非主粮生产的地理集聚特征及其空间演化机制[J]. 经济地理, 2020, 40(12): 155-165. |
[Yao Chengsheng, Yang Yidan, Yin Wei. Geographical agglomeration characteristics of China’s non-primary grain production and its spatial evolution mechanism[J]. Economic Geography, 2020, 40(12): 155-165. ] | |
[24] | 梁常安, 杜国明, 郝均. 中国农业技术创新的时空格局及其诱致性[J]. 干旱区地理, 2023, 46(4): 667-677. |
[Liang Chang’an, Du Guoming, Hao Jun. Spatial-temporal pattern and inducement of agricultural technology innovation in China[J]. Arid Land Geography, 2023, 46(4): 667-677. ] | |
[25] | 谭晓艳, 张晓恒, 游良志. 自然因素和政策干预对中国棉花生产布局变迁的影响[J]. 农业技术经济, 2020(4): 79-93. |
[Tan Xiaoyan, Zhang Xiaoheng, You Liangzhi. A study on the impact of natural factors and policy interventions on the dynamics of cotton production[J]. Journal of Agrotechnical Economics, 2020(4): 79-93. ] | |
[26] | 张建华. 一种简便易用的基尼系数计算方法[J]. 山西农业大学学报(社会科学版), 2007, 23(3): 275-278, 283. |
[Zhang Jianhua. An convenient method to calculate Gini coefficient[J]. Shanxi Agricultural University (Social Science Edition), 2007, 23(3): 275-278, 283. ] | |
[27] | 赵文智, 任珩, 杜军, 等. 河西走廊绿洲生态建设和农业发展的若干思考与建议[J]. 中国科学院院刊, 2023, 38(3): 424-434. |
[Zhao Wenzhi, Ren Heng, Du Jun, et al. Thoughts and suggestions on oasis ecological construction and agricultural development in Hexi Corridor[J]. Bulletin of Chinese Academy of Sciences, 2023, 38(3): 424-434. ] | |
[28] | 赵锐锋, 王福红, 张丽华, 等. 黑河中游地区耕地景观演变及社会经济驱动力分析[J]. 地理科学, 2017, 37(6): 920-928. |
[Zhao Ruifeng, Wang Fuhong, Zhang Lihua, et al. Dynamic of farmland landscape and its socioeconomic driving forces in the middle reaches of the Heihe River[J]. Scientia Geographica Sinica, 2017, 37(6): 920-928. ] | |
[29] | 刘珍环, 杨鹏, 吴文斌, 等. 近30年中国农作物种植结构时空变化分析[J]. 地理学报, 2016, 71(5): 840-851. |
[Liu Zhenhuan, Yang Peng, Wu Wenbin et al. Spatio-temporal changes in Chinese crop patterns over the past three decades[J]. Acta Geographica Sinica, 2016, 71(5): 840-851. ] | |
[30] | 栾军强, 王荣成, 朱子媛, 等. 山东省粮食供需变动下农业生产格局研究[J]. 中国农业资源与区划, 2021, 42(8): 201-209. |
[Luan Junqiang, Wang Rongcheng, Zhu Ziyuan, et al. Study on agricultural production pattern under the change of grain supply and demand in Shandong Province[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2021, 42(8): 201-209. ] |
/
〈 |
|
〉 |