Journal of Agriculture ›› 2021, Vol. 11 ›› Issue (8): 116-124.doi: 10.11923/j.issn.2095-4050.cjas2020-0226
Special Issue: 现代农业发展与乡村振兴
Yang Xiaohui(), Du Rong, Qin Ruimin, Xu Manhou()
Received:
2020-10-22
Revised:
2021-05-23
Online:
2021-08-20
Published:
2021-08-26
Contact:
Xu Manhou
E-mail:1571388670@qq.com;xumh@tynu.ed
CLC Number:
Yang Xiaohui, Du Rong, Qin Ruimin, Xu Manhou. An Evaluation of Agricultural Economic Development in Contiguous Poverty-stricken Areas in Shanxi Province Based on Principal Component Analysis[J]. Journal of Agriculture, 2021, 11(8): 116-124.
Add to citation manager EndNote|Ris|BibTeX
URL: http://nxxb.caass.org.cn/EN/10.11923/j.issn.2095-4050.cjas2020-0226
PF | NC | ND | NJ | BLC | BNH | |
---|---|---|---|---|---|---|
NC | -0.391** | |||||
ND | -0.218** | 0.571** | ||||
NJ | -0.480** | 0.542** | 0.601** | |||
BLC | -0.306** | 0.238 | -0.297** | 0.262** | ||
BNH | 0.377** | -0.164* | -0.171* | -0.106* | 0.045 | |
BNJ | -0.182** | 0.186 | -0.137* | 0.076 | 0.397** | 0.134** |
PF | NC | ND | NJ | BLC | BNH | |
---|---|---|---|---|---|---|
NC | -0.391** | |||||
ND | -0.218** | 0.571** | ||||
NJ | -0.480** | 0.542** | 0.601** | |||
BLC | -0.306** | 0.238 | -0.297** | 0.262** | ||
BNH | 0.377** | -0.164* | -0.171* | -0.106* | 0.045 | |
BNJ | -0.182** | 0.186 | -0.137* | 0.076 | 0.397** | 0.134** |
指标 | 第1主成分 | 第2主成分 | 综合主成分 |
---|---|---|---|
NC | 0.802 | 0.020 | 0.485 |
ND | 0.755 | 0.193 | 0.527 |
NJ | 0.880 | 0.020 | 0.531 |
PF | 0.608 | 0.354 | 0.505 |
BLC | 0.133 | 0.849 | 0.424 |
BNH | -0.132 | 0.933 | 0.300 |
BNJ | 0.286 | 0.750 | 0.474 |
指标 | 第1主成分 | 第2主成分 | 综合主成分 |
---|---|---|---|
NC | 0.802 | 0.020 | 0.485 |
ND | 0.755 | 0.193 | 0.527 |
NJ | 0.880 | 0.020 | 0.531 |
PF | 0.608 | 0.354 | 0.505 |
BLC | 0.133 | 0.849 | 0.424 |
BNH | -0.132 | 0.933 | 0.300 |
BNJ | 0.286 | 0.750 | 0.474 |
市 | 县 | 第1主成分得分 | 第2主成分得分 | 综合得分 | 百分制得分 |
---|---|---|---|---|---|
大同市 | 阳高县 | 1.868 | 1.969 | 1.909 | 68.668 |
天镇县 | -0.216 | 0.989 | 0.273 | 61.240 | |
广灵县 | 0.291 | -0.169 | 0.104 | 60.472 | |
灵邱县 | -1.031 | -0.727 | -0.907 | 55.880 | |
浑源县 | -1.004 | 0.337 | -0.460 | 57.913 | |
大同县 | 1.696 | 3.901 | 2.591 | 71.764 | |
平均 | 0.267 | 1.050 | 0.585 | 62.656 | |
忻州市 | 五台县 | -1.574 | 3.078 | 0.314 | 61.428 |
繁峙县 | -1.228 | -0.863 | -1.080 | 55.097 | |
静乐县 | -1.988 | -1.999 | -1.992 | 50.954 | |
神池县 | 3.370 | 0.261 | 2.108 | 69.571 | |
五寨县 | 3.333 | 1.773 | 2.700 | 72.258 | |
岢岚县 | 1.680 | -0.883 | 0.639 | 62.903 | |
平均 | 0.599 | 0.228 | 0.448 | 62.035 | |
临汾市 | 吉县 | 1.607 | -0.267 | 0.846 | 63.842 |
大宁县 | -0.803 | -0.359 | -0.623 | 57.172 | |
隰县 | 1.422 | 1.682 | 1.528 | 66.936 | |
永和县 | -0.266 | -1.834 | -0.903 | 55.901 | |
汾西县 | -1.343 | -0.814 | -1.128 | 54.877 | |
平均 | 0.123 | -0.319 | -0.056 | 59.746 | |
吕 梁 市 | 兴县 | -1.579 | -1.819 | -1.676 | 52.389 |
临县 | -0.521 | -0.538 | -0.528 | 57.604 | |
石楼县 | -1.853 | -2.124 | -1.963 | 51.088 | |
岚县 | -1.862 | -1.593 | -1.753 | 52.042 | |
平均 | -1.454 | -1.518 | -1.480 | 53.281 |
市 | 县 | 第1主成分得分 | 第2主成分得分 | 综合得分 | 百分制得分 |
---|---|---|---|---|---|
大同市 | 阳高县 | 1.868 | 1.969 | 1.909 | 68.668 |
天镇县 | -0.216 | 0.989 | 0.273 | 61.240 | |
广灵县 | 0.291 | -0.169 | 0.104 | 60.472 | |
灵邱县 | -1.031 | -0.727 | -0.907 | 55.880 | |
浑源县 | -1.004 | 0.337 | -0.460 | 57.913 | |
大同县 | 1.696 | 3.901 | 2.591 | 71.764 | |
平均 | 0.267 | 1.050 | 0.585 | 62.656 | |
忻州市 | 五台县 | -1.574 | 3.078 | 0.314 | 61.428 |
繁峙县 | -1.228 | -0.863 | -1.080 | 55.097 | |
静乐县 | -1.988 | -1.999 | -1.992 | 50.954 | |
神池县 | 3.370 | 0.261 | 2.108 | 69.571 | |
五寨县 | 3.333 | 1.773 | 2.700 | 72.258 | |
岢岚县 | 1.680 | -0.883 | 0.639 | 62.903 | |
平均 | 0.599 | 0.228 | 0.448 | 62.035 | |
临汾市 | 吉县 | 1.607 | -0.267 | 0.846 | 63.842 |
大宁县 | -0.803 | -0.359 | -0.623 | 57.172 | |
隰县 | 1.422 | 1.682 | 1.528 | 66.936 | |
永和县 | -0.266 | -1.834 | -0.903 | 55.901 | |
汾西县 | -1.343 | -0.814 | -1.128 | 54.877 | |
平均 | 0.123 | -0.319 | -0.056 | 59.746 | |
吕 梁 市 | 兴县 | -1.579 | -1.819 | -1.676 | 52.389 |
临县 | -0.521 | -0.538 | -0.528 | 57.604 | |
石楼县 | -1.853 | -2.124 | -1.963 | 51.088 | |
岚县 | -1.862 | -1.593 | -1.753 | 52.042 | |
平均 | -1.454 | -1.518 | -1.480 | 53.281 |
市 | 年份 | 第1主成分得分 | 第2主成分得分 | 综合得分 | 百分制得分 |
---|---|---|---|---|---|
大同市 | 2008 | -1.491 | -0.526 | -1.099 | 55.010 |
2009 | -1.470 | -0.607 | -1.120 | 54.917 | |
2010 | -0.793 | -0.032 | -0.484 | 57.802 | |
2011 | -0.067 | 0.692 | 0.242 | 61.097 | |
2012 | 0.736 | 1.502 | 1.047 | 64.754 | |
2013 | 1.659 | 1.921 | 1.765 | 68.014 | |
2014 | 1.643 | 2.246 | 1.888 | 68.571 | |
2015 | 1.383 | 2.034 | 1.647 | 67.480 | |
2016 | 0.865 | 1.878 | 1.276 | 65.794 | |
2017 | 0.190 | 1.356 | 0.663 | 63.011 | |
2018 | 0.285 | 1.085 | 0.610 | 62.769 | |
平均 | 0.267 | 1.050 | 0.585 | 62.656 | |
忻州市 | 2008 | -1.116 | -1.097 | -1.108 | 54.969 |
2009 | -0.869 | -1.120 | -0.971 | 55.591 | |
2010 | 0.441 | -0.264 | 0.155 | 60.703 | |
2011 | 0.527 | -0.123 | 0.263 | 61.194 | |
2012 | 1.061 | 0.190 | 0.707 | 63.211 | |
2013 | 1.296 | 0.871 | 1.124 | 65.102 | |
2014 | 1.334 | 0.961 | 1.183 | 65.370 | |
2015 | 0.913 | 0.739 | 0.843 | 63.825 | |
2016 | 0.939 | 0.897 | 0.922 | 64.186 | |
2017 | 0.581 | 0.793 | 0.667 | 63.030 | |
2018 | 1.481 | 0.658 | 1.147 | 65.207 | |
平均 | 0.599 | 0.228 | 0.448 | 62.035 | |
临汾市 | 2008 | -2.158 | -1.486 | -1.885 | 51.442 |
2009 | -1.698 | -1.231 | -1.509 | 53.150 | |
2010 | -1.009 | -0.939 | -0.980 | 55.549 | |
2011 | -0.340 | -0.728 | -0.497 | 57.743 | |
2012 | 0.387 | -0.275 | 0.118 | 60.538 | |
2013 | 1.006 | 0.150 | 0.658 | 62.989 | |
2014 | 1.809 | 0.734 | 1.372 | 66.231 | |
2015 | 1.133 | -0.008 | 0.670 | 63.042 | |
2016 | 1.339 | 0.458 | 0.981 | 64.454 | |
2017 | 0.286 | -0.269 | 0.061 | 60.277 | |
2018 | 0.602 | 0.089 | 0.394 | 61.788 | |
平均 | 0.123 | -0.319 | -0.056 | 59.746 | |
吕梁市 | 2008 | -2.221 | -2.013 | -2.137 | 50.299 |
2009 | -2.018 | -1.960 | -1.995 | 50.944 | |
2010 | -1.679 | -1.786 | -1.723 | 52.178 | |
2011 | -1.452 | -1.728 | -1.564 | 52.898 | |
2012 | -1.255 | -1.562 | -1.380 | 53.735 | |
2013 | -1.040 | -1.452 | -1.207 | 54.520 | |
2014 | -0.915 | -1.280 | -1.063 | 55.174 | |
2015 | -1.335 | -1.425 | -1.371 | 53.774 | |
2016 | -1.270 | -1.165 | -1.227 | 54.427 | |
2017 | -1.437 | -1.252 | -1.362 | 53.815 | |
2018 | -1.367 | -1.079 | -1.250 | 54.324 | |
平均 | -1.454 | -1.518 | -1.480 | 53.281 |
市 | 年份 | 第1主成分得分 | 第2主成分得分 | 综合得分 | 百分制得分 |
---|---|---|---|---|---|
大同市 | 2008 | -1.491 | -0.526 | -1.099 | 55.010 |
2009 | -1.470 | -0.607 | -1.120 | 54.917 | |
2010 | -0.793 | -0.032 | -0.484 | 57.802 | |
2011 | -0.067 | 0.692 | 0.242 | 61.097 | |
2012 | 0.736 | 1.502 | 1.047 | 64.754 | |
2013 | 1.659 | 1.921 | 1.765 | 68.014 | |
2014 | 1.643 | 2.246 | 1.888 | 68.571 | |
2015 | 1.383 | 2.034 | 1.647 | 67.480 | |
2016 | 0.865 | 1.878 | 1.276 | 65.794 | |
2017 | 0.190 | 1.356 | 0.663 | 63.011 | |
2018 | 0.285 | 1.085 | 0.610 | 62.769 | |
平均 | 0.267 | 1.050 | 0.585 | 62.656 | |
忻州市 | 2008 | -1.116 | -1.097 | -1.108 | 54.969 |
2009 | -0.869 | -1.120 | -0.971 | 55.591 | |
2010 | 0.441 | -0.264 | 0.155 | 60.703 | |
2011 | 0.527 | -0.123 | 0.263 | 61.194 | |
2012 | 1.061 | 0.190 | 0.707 | 63.211 | |
2013 | 1.296 | 0.871 | 1.124 | 65.102 | |
2014 | 1.334 | 0.961 | 1.183 | 65.370 | |
2015 | 0.913 | 0.739 | 0.843 | 63.825 | |
2016 | 0.939 | 0.897 | 0.922 | 64.186 | |
2017 | 0.581 | 0.793 | 0.667 | 63.030 | |
2018 | 1.481 | 0.658 | 1.147 | 65.207 | |
平均 | 0.599 | 0.228 | 0.448 | 62.035 | |
临汾市 | 2008 | -2.158 | -1.486 | -1.885 | 51.442 |
2009 | -1.698 | -1.231 | -1.509 | 53.150 | |
2010 | -1.009 | -0.939 | -0.980 | 55.549 | |
2011 | -0.340 | -0.728 | -0.497 | 57.743 | |
2012 | 0.387 | -0.275 | 0.118 | 60.538 | |
2013 | 1.006 | 0.150 | 0.658 | 62.989 | |
2014 | 1.809 | 0.734 | 1.372 | 66.231 | |
2015 | 1.133 | -0.008 | 0.670 | 63.042 | |
2016 | 1.339 | 0.458 | 0.981 | 64.454 | |
2017 | 0.286 | -0.269 | 0.061 | 60.277 | |
2018 | 0.602 | 0.089 | 0.394 | 61.788 | |
平均 | 0.123 | -0.319 | -0.056 | 59.746 | |
吕梁市 | 2008 | -2.221 | -2.013 | -2.137 | 50.299 |
2009 | -2.018 | -1.960 | -1.995 | 50.944 | |
2010 | -1.679 | -1.786 | -1.723 | 52.178 | |
2011 | -1.452 | -1.728 | -1.564 | 52.898 | |
2012 | -1.255 | -1.562 | -1.380 | 53.735 | |
2013 | -1.040 | -1.452 | -1.207 | 54.520 | |
2014 | -0.915 | -1.280 | -1.063 | 55.174 | |
2015 | -1.335 | -1.425 | -1.371 | 53.774 | |
2016 | -1.270 | -1.165 | -1.227 | 54.427 | |
2017 | -1.437 | -1.252 | -1.362 | 53.815 | |
2018 | -1.367 | -1.079 | -1.250 | 54.324 | |
平均 | -1.454 | -1.518 | -1.480 | 53.281 |
[1] | 张颖丽, 李建华. 欠发达地区政府拉动型科技人才吸纳对策研究[J]. 社会科学辑刊, 2010(3):63-66. |
[2] | 石琳琳, 王光森. 新时代中国社会主要矛盾:旨归·导向·着力点[J]. 中共云南省委党校学报, 2018, 19(5):36-40. |
[3] | 龚亮保. 从打好扶贫攻坚战到打赢脱贫攻坚战[J]. 老区建设, 2015(21):1. |
[4] | 钟琴梅. 少数民族地区精准扶贫研究—以贵州省印江土家族苗族自治县为例[D]. 湘潭:湘潭大学, 2019. |
[5] | 王宗礼. 把全面从严治党要求贯穿到脱贫攻坚全过程[N]. 甘肃日报, 2019-03-13(008). |
[6] | 徐满厚, 贾燕燕, 张潇月, 等. 山西吕梁连片特困区农业经济发展评价及其时空分布特征[J]. 农学学报, 2018, 8(5):73-80. |
[7] | 李晓龙, 徐鲲. 连片特困地区扶贫攻坚的战略选择[J]. 南京林业大学学报:人文社会科学版, 2014, 14(2):61-68. |
[8] | Yang X J, Wang Y Y, Kong Z Q, et al. Study on the Participation Path of Tourism Accurate Poverty Alleviation Community in Contiguous Destitute Areas—A Case Study of Ankang City, Qinba Mountain Area, Shaanxi Province[J]. IOP Conference Series: Earth and Environmental Science, 2019, 237(3). |
[9] | 邢慧斌, 刘冉冉. 集中连片特困区教育精准扶贫绩效的空间差异研究——以燕山-太行山区8 个连片特困县为例[J]. 教育与经济, 2019(1):7-15. |
[10] | 陈厚义. 贵州连片特困区经济社会发展的对比研究[J]. 贵州社会科学, 2012(10):82-86. |
[11] | 张骏逸, 竺三子, 刘鹏凌. 大别山连片贫困区农业经济增长影响因素分析—基于 Panel Data 模型分析[J]. 山西农业大学学报:社会科学版, 2014, 13(5):498-503. |
[12] | 李永红, 刘小鹏, 裴银宝, 等. 六盘山集中连片特困区村域空间贫困及分异研究——以宁夏泾源县为例[J]. 宁夏大学学报:自然科学版, 2017, 38(3):308-316. |
[13] | 朱青. 贵州喀斯特地区贫困农户可持续发展分析[J]. 农业经济, 2013(8):85-87. |
[14] | Garong Nima. Measures and Safeguards to Realize Stable Poverty Alleviation in Contiguous Destitute Areas Based on Human Capital Development — A Case Study of Xialatuo Village[J]. Open Journal of Social Sciences, 2019, 7(4):70-84. |
[15] | 杨隆. 山西省消除贫困的财政政策研究[D]. 太原:山西财经大学, 2017. |
[16] | 曹银贵, 周伟, 王静, 等. 基于主成分分析与层次分析的三峡库区耕地集约利用对比[J]. 农业工程学报, 2010, 26(4):291-296. |
[17] | 徐红涛, 陈春波, 郑宏伟, 等. 基于相关分析和自适应遗传算法的盐渍化建模变量和参数优选[J]. 地球信息科学学报, 2020, 22(7):1497-1509. |
[18] | 罗中良, 麦宜佳, 施仁. 一类基于统计理论的神经网络模式识别方法[J]. 工业仪表与自动化装置, 2001(6):5-7. |
[19] | 王莺, 王静, 姚玉璧, 等. 基于主成分分析的中国南方干旱脆弱性评价[J]. 生态环境学报, 2014, 23(12):1897-1904. |
[20] | 黄文准. 农业科技创新对农村经济影响的实证研究[J]. 科技管理研究, 2011, 31(12):1-4. |
[21] | 袁磊. 我国农业总产值影响因素研究——基于全国31省市数据的实证分析[J]. 山东农业大学学报:社会科学版, 2013, 15(3):29-33. |
[22] | 范君晖, 闫明星. 基于结构方程模型的健康人力资本收入效应研究[J]. 湖南财政经济学院学报, 2019, 35(2):57-64. |
[23] | 李川川. 郑州国家中心城市竞争力评价[D]. 开封:河南大学, 2019. |
[24] | 杨婷, 王玉贵, 方孝梅, 等. 因子分析法在医院科室综合效益评价中的应用[J]. 中国卫生统计, 2009, 26(2):161-163. |
[25] | Xu S G, Cui Y X, Yang C X, et al. The fuzzy comprehensive evaluation (FCE) and the principal component analysis (PCA) model simulation and its applications in water quality assessment of Nansi Lake Basin, China[J]. Environmental Engineering Research, 2021, 26(2):222-232. |
[26] |
Marianne S. Feeding the World: Brazil's Transformation into a Modern Agricultural Economy by Herbert S. Klein and Francisco Vidal Luna (review)[J]. Journal of Interdisciplinary History, 2020, 50(3):475-477.
doi: 10.1162/jinh_r_01473 URL |
[27] | 卢娜娜. 河南省绿色循环农业现状分析与对策研究[D]. 郑州:河南农业大学, 2015. |
[28] | 肖小华. 不同耕地流转类型农户对粮食补贴政策满意度比较研究[D]. 南昌:江西农业大学, 2016. |
[29] | 潘仲尼, 王广斌, 张航瑞, 等. 吕梁市特色农业发展研究[J]. 湖南农业科学, 2016(9):97-100. |
[30] | 党史文苑编辑部. 脱贫之战,总书记发出总攻令[J]. 党史文苑, 2016(16):1. |
[31] | 李欣. 精准扶贫背景下山东省产业扶贫问题研究[D]. 济南:山东大学, 2018. |
[32] | 谢晓燕, 刘洪银. 攻坚期农村低保群体稳定脱贫路径选择[J]. 天津行政学院学报, 2019, 21(2):52-58. |
[1] | YANG Fang, LIANG Haiyan, LIN Fengxian, SONG Xiaoqiang, DENG Yarui, LI Hai. The Agronomic Traits of 24 Broomcorn Millet Materials: Principal Component Analysis and Cluster Analysis [J]. Journal of Agriculture, 2022, 12(8): 27-34. |
[2] | SUN Qin, XU Xuexin, DENG Xiao, ZHU Zixin, ZHANG Yulu, GAO Guolong, GAI Hongmei, ZHAO Changxing. Effects of Salt Stress on Fluorescence Characteristics of Wheat Seedlings and Comprehensive Evaluation [J]. Journal of Agriculture, 2022, 12(6): 5-13. |
[3] | XUE Zhiwei, HUANG Qingqing, YANG Chunling. Heavy Metal Content of Soil and Wheat Seeds Around Anyang: Correlation and Principal Component Analysis [J]. Journal of Agriculture, 2022, 12(12): 28-33. |
[4] | Li Ling, Huang Yuling, Yang Yuling, Tian Yingqiu. The Difference of Physicochemical Indexes and Chemical Components in Different Parts of Polygonatum kingianum [J]. Journal of Agriculture, 2021, 11(8): 70-75. |
[5] | Wen Saiqun, Yuan Guang, Zhang Zhimeng, Zhang Guanchu, Ci Dunwei, Ding Hong, Xu Yang, Jiang Changsong, Dai Liangxiang. Salt Tolerance of Peanut Varieties at Seedling Stage: Assessment and Screening [J]. Journal of Agriculture, 2021, 11(6): 29-35. |
[6] | Chen Mengni, Li Yongshan, Wang Hui, Fan Qiaolan. County-level Cotton Planting Patterns and Fertilization Techniques in Shanxi [J]. Journal of Agriculture, 2021, 11(4): 6-12. |
[7] | Li Xinghe, Wang Haitao, Liu Cunjing, Tang Liyuan, Zhang Sujun, Cai Xiao, Xiong Yongbin, Zhang Xiangyun. 80 Cotton Germplasm Resources: Utilization Value Evaluation [J]. Journal of Agriculture, 2021, 11(11): 11-18. |
[8] | Li Hong, Wang Yuchao, Wang Ruijun, Xi Xiaoqian, Zhang Xuli. Maize/Cabbage Interplanting Modes: Benefit Evaluation Based on Principal Component Analysis [J]. Journal of Agriculture, 2020, 10(5): 21-25. |
[9] | Zhang Yan, Zou Qinyan, Wu Shuai, Zhao Zunle, Yan Xin, Zhang Lihua, Tan Wei. Comparison of Phenolic Content and Antioxidant Capacity in Fruit Parts of Different Pomegranate Varieties [J]. Journal of Agriculture, 2020, 10(12): 57-67. |
[10] | Fu Qiaojuan, Li Chunnan, Zhang Xiaoying, Zhao Fukang. Genetic Diversity Analysis of Phenotypic Traits of Cymbidium goeringii [J]. Journal of Agriculture, 2020, 10(11): 65-71. |
[11] | Yang Huiqing, Wang Genquan, Hao Xiaofen, Wang Xiaoyu, Cheng Qiaolin, Qin Yuzhong. Main Agronomic Traits of Millet Varieties in Shanxi: Correlation and Principal Component Analysis [J]. Journal of Agriculture, 2020, 10(10): 19-23. |
[12] | . Optimization of Traditional Village Protection Mode in Shanxi Province: A Case of Shenbei Village [J]. Journal of Agriculture, 2019, 9(6): 74-81. |
[13] | . Main Agronomic Characters of Sweet Sorghum Germplasm: Principal Component Analysis and Cluster Analysis [J]. Journal of Agriculture, 2019, 9(5): 5-9. |
[14] | 王国玲,,, and . Land Use and Land Cover Change in Northern Shanxi: 2008 - 2013 [J]. Journal of Agriculture, 2019, 9(5): 38-43. |
[15] | . Nutrients of Soil and Leaf in Pear Orchards of Shanxi Province [J]. Journal of Agriculture, 2019, 9(12): 23-27. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||