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A comprehensive evaluation of county economies in the Beijing-Tianjin-Hebei Region based on entropy TOPSIS analysis

Lu Sen
Lu Sen
, 
Zhang Yang
Zhang Yang
, 
Zhang Caihong
Zhang Caihong
 y 
Wu Chengliang
Wu Chengliang
   | 25 may 2021
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Publicado en línea: 25 may 2021
Páginas: 499 - 516
Recibido: 07 feb 2021
Aceptado: 25 mar 2021
DOI: https://doi.org/10.2478/amns.2021.2.00014
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© 2021 Lu Sen et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

The proportions of the industries in the sub-regions of Beijing, Tianjin and Hebei Province in 2015.
The proportions of the industries in the sub-regions of Beijing, Tianjin and Hebei Province in 2015.

Fig. 2

Composite index coefficients of variation for cities in the Beijing-Tianjin-Hebei region.
Composite index coefficients of variation for cities in the Beijing-Tianjin-Hebei region.

Fig. 3

A comparison of the scale of per capita county economies relating to the three categories.Note: The data presented in the figure comprises mean values for the three categories.
A comparison of the scale of per capita county economies relating to the three categories.Note: The data presented in the figure comprises mean values for the three categories.

Fig. 4

A comparison of investment and consumption in counties across the three categories.Note: The data presented in the figure comprises mean values for the three categories.
A comparison of investment and consumption in counties across the three categories.Note: The data presented in the figure comprises mean values for the three categories.

Fig. 5

A comparison of the industrial structures of counties across the three categories.Note: The data presented in the figure comprises mean values for the three categories.
A comparison of the industrial structures of counties across the three categories.Note: The data presented in the figure comprises mean values for the three categories.

Fig. 6

A comparison of life quality of county populations across the three categories.Note: The data presented in the figure comprises mean values for the three categories.
A comparison of life quality of county populations across the three categories.Note: The data presented in the figure comprises mean values for the three categories.

Fig. 7

A comparison of infrastructure for counties across the three categories.Note: The data presented in the figure comprises mean values for the three categories.
A comparison of infrastructure for counties across the three categories.Note: The data presented in the figure comprises mean values for the three categories.

An analysis of overall differences in the Bejing-Tianjin-Hebei region.

Category County Evaluation
0.3 ≤ Ci Dachang Hui Autonomous County, Miyun, Jinghai, Ninghe, Xianghe, Gu’an, Yanqing, Jixian, Qianxi, Kuancheng Manchu Autonomous County The higher overall county economic development level
0.15 < Ci ≤ 0.3 Huailai, Luanxian, Chongli, Suning, Zhengding, Luanping, Laoting, Luancheng, Chengde and so on The middle overall county economic development level
Ci ≤ 0.15 Qingxian, Yuanshi, Weichang Meng&Man Autonomous County, Dongguang, Cangxian, Gaoyang, Huyuan, Longhua, Zhulu, Yuxian and so on The lower overall county economic development level

Scores and ranking of the 118 counties in the Beijing-Tianjin-Hebei region.

County Ci Ranking in 2015 Ranking change County Ci Ranking in 2015 Ranking change County Ci Ranking in 2015 Ranking change
Dachang 0.7409 1 12 Mengcun 0.1558 41 65 Zanhuang 0.1135 81 −17
Miyun 0.6916 2 0 Chicheng 0.1557 42 42 Lincheng 0.1134 82 −13
Jinghai 0.6577 3 −2 Xushui 0.1549 43 −23 Mancheng 0.1129 83 −43
Ninghe 0.6414 4 0 Gucheng 0.1513 44 34 Julu 0.1125 84 18
Xianghe 0.5856 5 18 Anping 0.1509 45 8 Nanhe 0.1125 85 33
Gu’an 0.4356 6 54 Qing 0.1478 46 −13 Cheng’an 0.1125 86 14
Yanqing 0.4279 7 −4 Yuanshi 0.1461 47 5 Ren 0.1123 87 29
Ji 0.3569 8 −3 Weichang 0.1415 48 −29 Yangyuan 0.1116 88 16
Qianxi 0.3276 9 13 Dongguang 0.1413 49 24 Pingxiang 0.1113 89 19
Kuancheng 0.3244 10 45 Cang 0.1412 50 −34 Nanpi 0.1084 90 7
Huailai 0.2884 11 71 Gaoyang 0.1401 51 11 Yi 0.1077 91 −53
Luan 0.2798 12 25 Huyuan 0.1395 52 55 Quzhou 0.1058 92 11
Chongli 0.2763 13 92 Longhua 0.1383 53 12 Linzhang 0.1052 93 −8
Suning 0.2697 14 54 Zhulu 0.1379 54 9 Wuqiao 0.1047 94 −1
Zhengding 0.2582 15 −6 Yu 0.1369 55 −14 Guantao 0.1039 95 −7
Luanping 0.2361 16 67 Dacheng 0.1362 56 10 Qingyuan 0.1033 96 −57
Leting 0.2308 17 −9 Ningjin 0.1360 57 −51 Anxin 0.1030 97 −46
Luancheng 0.2252 18 11 Xuanhua 0.1345 58 19 Xingtang 0.1018 98 −55
Chengde 0.2165 19 −9 Qinglong 0.1336 59 −12 Longyao 0.1014 99 −50
Luannan 0.2096 20 4 Rongcheng 0.1332 60 19 Linxi 0.1008 100 −24
She 0.2094 21 −6 Shenze 0.1326 61 −3 Dingxing 0.1004 101 −42
Piangshan 0.1930 22 −10 Yanshan 0.1315 62 51 Wuqiang 0.0987 102 −12
Zhangbei 0.1926 23 66 Xian 0.1307 63 32 Raoyang 0.0973 103 −11
Ci 0.1923 24 32 Zhao 0.1298 64 −39 Jize 0.0972 104 −8
Pingquan 0.1920 25 1 Qinghe 0.1295 65 −54 Quayng 0.0969 105 −18
Yutian 0.1901 26 −8 Jing 0.1289 66 −24 Qiu 0.0955 106 −49
Fengning 0.1848 27 8 Kangbao 0.1287 67 44 Li 0.0953 107 −73
Laiyuan 0.1816 28 26 Haixing 0.1276 68 33 Fucheng 0.0909 108 −10
Changli 0.1814 29 −2 Huaian 0.1270 69 43 Tang 0.0900 109 −18
Xinglong 0.1810 30 −16 Lulong 0.1257 70 −9 Shunping 0.0879 110 −66
Handan 0.1760 31 19 Zaoqiang 0.1240 71 −64 Linshou 0.0867 111 −44
Funing 0.1733 32 −11 Fuping 0.1237 72 −42 Guangping 0.0865 112 −64
Xingtai 0.1708 33 −16 Feixiang 0.1213 73 36 Wangdu 0.0861 113 −19
Jingxing 0.1708 34 −6 Xiong 0.1206 74 6 Boye 0.0845 114 −4
Yongqing 0.1674 35 35 Wuyi 0.1205 75 −1 Shangyi 0.0828 115 0
Wanquan 0.1621 36 39 Damin 0.1203 76 5 Xinhe 0.0788 116 −2
Gaoyi 0.1595 37 −5 Neiqiu 0.1199 77 −5 Baixiang 0.0771 117 −18
Wen’an 0.1580 38 −7 Wei 0.1178 78 8 Guangzong 0.0655 118 −1
laishui 0.1566 39 6 Wei 0.1175 79 −8
Yongnian 0.1559 40 6 Wuji 0.1167 80 −44

A comprehensive system for evaluating county-level social and economic development.

Target layer Criteria layer Indicators layer Index code Attributes
Economic Economic Scale Per capita GDP/yuan X1 +
Per capita local government revenue/yuan X2 +
Economic Structure The proportion of total investment in fixed assets to GDP /% X3 +
The proportion of government revenue to GDP /% X4 +
The proportion of total retail sales of consumer goods to GDP/% X5 +
The proportion of secondary and tertiary industry output value to GDP /% X6 +
The proportion of output value of primary industry to GDP /% X7 +
The proportion of industrial output above designated size to GDP /% X8 +
Society Living Standards Population density /(per/km^2) X9 −
Per capita net income of rural residents /yuan X10 +
The average wage of workers /yuan X11 +
Infrastructures Number of full - time teachers in general secondary schools /per X12 +
Number of beds in hospital and health institutions /bed X13 +
Highway mileage/Km X14 +
Rural electricity consumption/ ten thousand /KW.h X15 −

The best solution, worst solution, entropy, and weight of each index.

Index 2001 Sj+ S_j^ + 2001 Sj− S_j^ - 2001ej 2001wj 2015 Sj+ S_j^ + 2015 Sj− S_j^ - 2015ej 2015wj
X1 0.0033 0.0000 0.9530 0.1002 0.00644 0.0000 0.9238 0.1240
X2 0.0029 0.0000 0.9630 0.0790 0.01308 0.0000 0.8880 0.1821
X3 0.0013 0.0000 0.9753 0.0527 0.00108 0.0000 0.9706 0.0479
X4 0.0009 0.0000 0.9837 0.0348 0.00648 0.0000 0.9232 0.1250
X5 0.0009 0.0000 0.9817 0.0390 0.00030 0.0000 0.9884 0.0188
X6 0.0010 0.0000 0.9738 0.0560 0.00036 0.0000 0.9843 0.0255
X7 0.0009 0.0000 0.9759 0.0515 0.00110 0.0000 0.9679 0.0522
X8 0.0061 0.0000 0.9468 0.1136 0.00156 0.0000 0.9657 0.0558
X9 0.0007 0.0000 0.9774 0.0483 0.00047 0.0000 0.9792 0.0338
X10 0.0011 0.0000 0.9725 0.0586 0.00175 0.0000 0.9561 0.0714
X11 0.0017 0.0000 0.9733 0.0570 0.00187 0.0000 0.9618 0.0621
X12 0.0019 0.0000 0.9664 0.0717 0.00224 0.0000 0.9587 0.0672
X13 0.0039 0.0000 0.9522 0.1020 0.00136 0.0000 0.9658 0.0556
X14 0.0038 0.0000 0.9414 0.1249 0.00166 0.0000 0.9568 0.0703
X15 0.0001 0.0000 0.9950 0.0107 0.00008 0.0000 0.9948 0.0084
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