2000—2017年中国农业机械总动力水平空间演变特征

doi:10.3969/j.issn.1004-1524.2020.04.19

浙江农业学报 ›› 2020, Vol. 32 ›› Issue (4): 714-722.DOI: 10.3969/j.issn.1004-1524.2020.04.19

2000—2017年中国农业机械总动力水平空间演变特征

张雄一¹, 徐新良^2,*, 张正^3,*, 庄大春¹, 曾钦³, 毕仁贵³, 严灿³

1.吉首大学土木工程与建筑学院,湖南张家界 427000;
2.中国科学院地理科学与资源研究所,北京 100101;
3.吉首大学物理与机电工程学院,湖南吉首 416000

收稿日期:2019-11-19 出版日期:2020-04-25 发布日期:2020-04-26
通讯作者: *徐新良,E-mail:xuxinliang@igsnrr.ac.cn;张正,E-mail:zhzh416000@163.com
作者简介:张雄一(1995—),男,河南泌阳人,硕士研究生,研究方向为生态环境与城乡发展。E-mail:zhangxiongyi123@163.com
基金资助:
中国科学院A类战略性先导科技专项(XDA20010302); 国家自然科学基金(11662004); 湖南省教育厅科学研究资助项目(18C0581,18C0587)

Spatial evolution characteristics of total agricultural machinery power in China from 2000 to 2017

ZHANG Xiongyi¹, XU Xinliang^2,*, ZHANG Zheng^3,*, ZHUANG Dachun¹, ZENG Qin³, BI Rengui³, YAN Can³

1. School of Civil Engineering and Architecture, Jishou University, Zhangjiajie 427000, China;
2. Institute of Geographical Sciences and Nature Resources Research, CAS, Beijing 100101, China;
3. College of Physics and Electromagnetic Engineering and Architecture, Jishou University, Jishou 416000, China

Received:2019-11-19 Online:2020-04-25 Published:2020-04-26

摘要/Abstract

摘要： 运用ArcGIS空间分析探究2000—2017年中国9大农业区农业机械总动力水平的空间分布,从省域层面分析各省(自治区、直辖市)(香港、澳门、台湾除外)地均农业机械总动力空间分布的演变特征,并运用皮尔逊(Pearson)相关性分析探究耕地变化和第一产业增加值变化与农业机械总动力变化的相关性。结果表明:2000—2017年,中国农业机械总动力水平快速提升,整体由“一强多弱”向“多强并存”格局演变,但省域发展不均衡,存在较明显的空间差异。农业机械总动力与第一产业增加值变化的相关系数为0.735,说明农业机械总动力的增长会带动第一产业增加值的提高,与耕地变化的相关系数为0.478。

关键词: 农业机械总动力, 空间分布, 演变特征, 相关性

Abstract: To explore the spatial distribution and evolution characteristics of China's total agricultural machinery power, ArcGIS spatial analysis and Pearson correlation analysis were adopted. The spatial distribution of total agricultural machinery power in nine agricultural areas from 2000 to 2017 were explored. The provincial (Hong Kong, Macao and Taiwan excluded) spatial evolution characteristics of total agricultural machinery power per hectare were analyzed, and the correlations within the changes of added value of the primary industry, cultivated land and total agricultural machinery power were determined. It was shown that the total agricultural machinery power increased rapidly in China from 2000 to 2017. The spatial distribution pattern in 9 agricultural areas varied from “one strong and many weak regions” to “multiple strong coexistence”. The development of total agricultural machinery power was not balanced among provinces. The correlation coefficient between the changes of total agricultural machinery power and the added value of the primary industry was 0.735, which indicated an obvious correlation. In other words, the increase of the total agricultural machinery power would promote the increase of the added value of the primary industry. The correlation coefficient between the changes of the total agricultural machinery power and the cultivated land was 0.478.

Key words: total agricultural machinery power, spatial distribution, evolution characteristics, correlation

中图分类号:

张雄一, 徐新良, 张正, 庄大春, 曾钦, 毕仁贵, 严灿. 2000—2017年中国农业机械总动力水平空间演变特征[J]. 浙江农业学报, 2020, 32(4): 714-722.

ZHANG Xiongyi, XU Xinliang, ZHANG Zheng, ZHUANG Dachun, ZENG Qin, BI Rengui, YAN Can. Spatial evolution characteristics of total agricultural machinery power in China from 2000 to 2017[J]. , 2020, 32(4): 714-722.

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2000—2017年中国农业机械总动力水平空间演变特征

Spatial evolution characteristics of total agricultural machinery power in China from 2000 to 2017

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