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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 3 Issue 6, October 2019
@ IJTSRD | Unique Paper ID – IJTSRD29
Comprehensive Evaluation
Beijing, Tianjin and
1School of Law, Beijing
1,2Beijing Wuzi University, Beijing, China
ABSTRACT
The balance of regional economic development is very important for
coordinated development. As the "Capital Economic Circle" of China,
Beijing-Tianjin-Hebei region plays an important role in the national
economic development. However, due to the
and culture, the economic development levels of cities in Beijing
Hebei are unbalanced. This paper constructs a comprehensive evaluation
index system of economic development level, makes empirical analysis by
using the method of entropy weight-TOPSIS, and ranks the comprehensive
scores. It is concluded that Beijing ranks first, Tianjin ranks second, and
Hebei ranks relatively lower.
KEYWORDS: Beijing-Tianjin-Hebei, Economic Development Level, TOPSIS
1. INTRODUCTION
Urban development includes economic, political, cultural,
social and environmental factors. Among them, economy is
the basis to promote the all-round development of society.
In the 13 cities of Beijing, Tianjin and Hebei, the uneven
distribution of talents and the uneven accumulation of
commercial resources lead to great differences in the level
of economic development of each city, and the gap
between rich and poor is increasing. It is necessary to
evaluate objectively and correctly the economic
development level of Beijing, Tianjin and Heb
understand comprehensively the economic development
situation and its differences, and to better reflect the
strengths and weaknesses of each city in all aspects.
The contribution of each city to the economic development
of Beijing, Tianjin and Hebei is different, and there are also
significant differences in the advantages and
disadvantages. This paper adopts the research method of
multi-index comprehensive evaluation, uses the entropy
weight-TOPSIS analysis and cluster analysis, objectively
gets the conclusion of evaluating the economic
development of each district, finds out the positioning of
each city, and defines the developed cities. With the
pattern of backward cities, the government can give full
play to its functions more pertinently, ta
improvement measures according to the actual situation
International Journal of Trend in Scientific Research and Development (IJTSRD)
2019 Available Online: www.ijtsrd.com e
29203 | Volume – 3 | Issue – 6 | September -
Comprehensive Evaluation of Economic Development Level
nd Hebei Cities Based on TOPSIS Method
Xiaomei Zou1, Renhao Jin2
School of Law, Beijing, 2School of Information
Beijing Wuzi University, Beijing, China
The balance of regional economic development is very important for
coordinated development. As the "Capital Economic Circle" of China,
Hebei region plays an important role in the national
economic development. However, due to the factors of resources, education
and culture, the economic development levels of cities in Beijing-Tianjin-
Hebei are unbalanced. This paper constructs a comprehensive evaluation
index system of economic development level, makes empirical analysis by
TOPSIS, and ranks the comprehensive
scores. It is concluded that Beijing ranks first, Tianjin ranks second, and
Hebei, Economic Development Level, TOPSIS
How to cite this paper
Renhao Jin "Comprehensive Evaluation
of Economic Development Level of
Beijing, Tianjin and Hebei Cities Based
on TOPSIS Method"
Published in
International Journal
of Trend in Scientific
Research and
Development
(ijtsrd), ISSN: 2456
6470, Volu
Issue-6, October 2019, pp.614
https://www.ijtsrd.com/papers/ijtsrd29
203.pdf
Copyright © 2019 by author(s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an Open Access article
distributed under
the terms of the
Creative Commons
Attribution License (CC BY 4.0)
(http://creativecommons.org/licenses/b
y/4.0)
, political, cultural,
social and environmental factors. Among them, economy is
round development of society.
In the 13 cities of Beijing, Tianjin and Hebei, the uneven
distribution of talents and the uneven accumulation of
mercial resources lead to great differences in the level
of economic development of each city, and the gap
between rich and poor is increasing. It is necessary to
evaluate objectively and correctly the economic
development level of Beijing, Tianjin and Hebei, to
understand comprehensively the economic development
situation and its differences, and to better reflect the
strengths and weaknesses of each city in all aspects.
The contribution of each city to the economic development
Hebei is different, and there are also
significant differences in the advantages and
disadvantages. This paper adopts the research method of
index comprehensive evaluation, uses the entropy
TOPSIS analysis and cluster analysis, objectively
s the conclusion of evaluating the economic
development of each district, finds out the positioning of
each city, and defines the developed cities. With the
pattern of backward cities, the government can give full
play to its functions more pertinently, take effective
improvement measures according to the actual situation
of the cities themselves
characteristic economy of the region, and narrow the
differences among the cities. It is of great significance to
realize the sustainable development and comprehensive
development of the economy of Beijing, Tianjin and Hebei.
2. TOPSIS Method
Entropy weight method is an objective weighting method.
The basic idea is to determine the objective weights
according to the variability of indicator
entropy of the index is smaller, the information provided
by the index will be larger, and the weight of the
comprehensive evaluation should be higher. On the
contrary, if the information entropy is large, the amount of
information provided is small and the weight is low.
TOPSIS is a method to rank the approaching degree of
idealized objects according to a limited number of
evaluation objects. It is a method to evaluate the relative
advantages and disadvantages of existing objects. TOP
method is a sort method which keeps approaching the
ideal solution. The so-called ideal solution is the optimal
solution, and its attribute values reach the best value in
each scheme. The negative ideal solution is the worst
solution, which makes its attribute values reach the worst
value in all schemes. The rule of scheme ranking is to
compare all calculated ideal solutions with negative ideal
International Journal of Trend in Scientific Research and Development (IJTSRD)
e-ISSN: 2456 – 6470
October 2019 Page 614
Economic Development Level of
TOPSIS Method
How to cite this paper: Xiaomei Zou |
Renhao Jin "Comprehensive Evaluation
of Economic Development Level of
Beijing, Tianjin and Hebei Cities Based
on TOPSIS Method"
Published in
International Journal
of Trend in Scientific
Research and
Development
(ijtsrd), ISSN: 2456-
6470, Volume-3 |
6, October 2019, pp.614-617, URL:
https://www.ijtsrd.com/papers/ijtsrd29
Copyright © 2019 by author(s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an Open Access article
distributed under
the terms of the
Creative Commons
Attribution License (CC BY 4.0)
http://creativecommons.org/licenses/b
cultivate and develop the
characteristic economy of the region, and narrow the
differences among the cities. It is of great significance to
le development and comprehensive
development of the economy of Beijing, Tianjin and Hebei.
Entropy weight method is an objective weighting method.
The basic idea is to determine the objective weights
according to the variability of indicators. If the information
entropy of the index is smaller, the information provided
by the index will be larger, and the weight of the
comprehensive evaluation should be higher. On the
contrary, if the information entropy is large, the amount of
ovided is small and the weight is low.
TOPSIS is a method to rank the approaching degree of
idealized objects according to a limited number of
evaluation objects. It is a method to evaluate the relative
advantages and disadvantages of existing objects. TOPSIS
method is a sort method which keeps approaching the
called ideal solution is the optimal
solution, and its attribute values reach the best value in
each scheme. The negative ideal solution is the worst
ttribute values reach the worst
value in all schemes. The rule of scheme ranking is to
compare all calculated ideal solutions with negative ideal
IJTSRD29203
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD29203 | Volume – 3 | Issue – 6 | September - October 2019 Page 615
solutions. If one of the schemes is the closest to the ideal
solution and at the same time far from the negative ideal
solution, then the scheme is the best one. This paper will
use the method of Entropy Weight-TOPSIS to analyze and
evaluate the level of economic development with 11
secondary indicators based on the data of 13 cities in
Beijing, Tianjin and Hebei.
The calculating steps for TOPSIS method:
<1> Standardization
Because the indicators are different, and there are
different units, so they are transformed, that is,
standardized processing.
Suppose there are m index labels from ܺଵ,ܺଶ to ܺ௠,and
Xi={ ‫ݔ‬ଵ,‫ݔ‬ଶ,…‫ݔ‬௡} }It is assumed that the standardized
values of each index data are ܻଵ,ܻଶ,…ܻ௠,and the
Standardized formula is
ܻ௜௝ =
ܺ௜௝ − min	 (ܺ௜)
maxሺܺ௜ሻ − min	 (ܺ௜)
	
<2> Calculating Information Entropy
‫ܧ‬௝ = −‫ܭ‬ ෍ ‫ݕ‬௜௝݈݊‫ݕ‬௜௝, ‫ݓ‬ℎ݁‫,݁ݎ‬ K	is	a	constant, K =
1
݈݊௠
௠
௜ୀଵ
Next, standardized data need to be normalized and
information entropy value calculated to prepare for the
weight of evaluation index.
<3> Calculating the Weight of Evaluation Index Based on
calculated Information Entropy,i. e., ‫ܧ‬ଵ,‫ܧ‬ଶ,…‫ܧ‬௠,
calculating the weight for each index
ܹ௜ =
ଵିா೔
௠ି∑ ா೔
,i = 1, 2,. . . ,m
<4> Calculating Entropy Weight Matrix
Accumulative evaluation of all indicators in a region by
using the entropy weight matrix: R = WY,where,
R୧୨ = ሺr୧୨ሻ	r୧୨ is the ith objects to be evaluated on the jth
values standardized by evaluation indicators.
<5>Determining positive ideal solution S+ and negative
ideal solution S-
ܵା
= ݉ܽ‫ݔ‬௝൫‫ݎ‬௜௝൯,݅ = 1,2, … ,݉;݆ = 1,2, … ,݊;
ܵି
= ݉݅݊௝൫‫ݎ‬௜௝൯,݅ = 1,2, … ,݉;݆ = 1,2, … ,݊
<6> Calculating the distance from indicator vector to ideal
solutions
݀௜
ା
= ඩ෍൫‫ݎ‬௜௝ − ‫ݎ‬௝
ା
൯
ଶ
௠
௝ୀଵ
,(݅ = 1,2, … ,݉;݆
= 1,2, … ,݊
݀௜
ି
= ඩ෍൫‫ݎ‬௜௝ − ‫ݎ‬௝
ି
൯
ଶ
௠
௝ୀଵ
,(݅ = 1,2, … ,݉;݆
= 1,2, … ,݊ሻ
<7> Calculating Comprehensive Score
‫ܨ‬௝ = ݀௝ − ሺ݀௝
ା
+ ݀௝
ି
ሻ
where, F୨ is the closeness between the evaluated object
and the optimal scheme. If the value is larger, it proves
that the evaluated object is better.
3. Construction of the Index System of Economic
Development Level
Economic development is a comprehensive concept. No
single index can fully reflect the influencing factors of
economic development. There are many kinds of urban
economic indicators. In order to fully and systematically
describe the economic development level of Beijing,
Tianjin and Hebei, this paper finds out some indicators
that can reflect the comprehensive economic level. On the
basis of referring to relevant literature and combining
with the characteristics of Beijing, Tianjin and Hebei, 11
relevant indicators are selected to construct the evaluation
index system of economic development, so as to reflect the
economic development level of each city comprehensively
and objectively.
The index system is divided into three categories of first-
level indicators and 11 second-level indicators. Among
them, economic development indicators are designed to
show the impact of macroeconomic variables on economic
development; medical insurance indicators show the
impact of medical level and social security on the
economy; and educational science and technology
indicators show the impact of scientific and technological
talents on the economy.
According to the theoretical basis of each index, the
evaluation index system of economic development level as
shown in Table 1 is obtained.
4. Results and Conclusion
The weight results of 11 evaluation indicators obtained by
the Entropy Weight Method are shown in table 2.The
following conclusions can be drawn: the value-added of
tertiary industry has the greatest impact on economic
development, followed by the amount of patent
authorization, the number of ordinary secondary schools
and the number of people participating in basic
endowment insurance for urban and rural residents have
a weak impact, and the number of people participating in
basic medical insurance for urban and rural residents has
a minimum impact.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD29203 | Volume – 3 | Issue – 6 | September - October 2019 Page 616
Table1. Evaluation Index of Economic Development Level
First level index Two level indices Symbol
Economic Development Category
Gross regional product X1
Total retail sales of consumer goods X2
Value added of tertiary industry X3
Per capita disposable income of urban residents X4
Per capita consumption expenditure of urban residents X5
Medical insurance category
Number of beds in health institutions X6
Number of health technicians X7
Number of participants in basic old-age insurance for urban and rural
residents
X8
Number of Participants in Basic Medical Insurance for Urban and Rural
Residents
X9
Educational Science and Technology
Patent authorization X10
Number of General Secondary Schools X11
Table2. Index weight
Two level indices Weight
X1 0.11742339
X2 0.10532077
X3 0.16762678
X4 0.0722955
X5 0.06991955
X6 0.06600793
X7 0.11176024
X8 0.04033325
X9 0.0371525
X10 0.16553236
X11 0.046628
According to the comprehensive score obtained by the
Topsis method, the total score ranking of 13 cities in
Beijing, Tianjin and Hebei in 2017 is obtained, as shown in
Table 3.
Table3 TOPSIS Composite score
City Score Rank
Beijing 0.872892 1
Tianjin 0.501636 2
Shijiazhuang 0.198816 3
Baoding 0.184877 4
Tangshan 0.162345 5
Handan 0.160152 6
Cangzhou 0.129136 7
Xingtai 0.118116 8
Langfang 0.107106 9
Qinhuangdao 0.05461 10
Hengshui 0.04798 11
Zhangjiakou 0.040931 12
Chengde 0.031098 13
The economic development evaluation value of Beijing,
Tianjin and Hebei is between 0-1. The larger the value, the
better the development and the better the comprehensive
evaluation. There is no doubt that Beijing ranks first,
followed by Tianjin, and most of the cities in Hebei
Province which are close to the capital Beijing rank first
and develop better. The rankings are Shijiazhuang City,
Baoding City, Tangshan City, Handan City, Cangzhou City,
Xingtai City, Langfang City, Qinhuangdao City, Hengshui
City and Zhangjia City. Kou City and Chengde City.
Shijiazhuang City ranked third and Chengde City ranked
last have far different scores, which indicates that the
development level of each city in Hebei Province is quite
different.
Generally speaking, the level of economic development in
Beijing, Tianjin and Hebei is uneven. In order to change
this gap and promote the economic development of each
city, corresponding measures must be taken. Firstly,
according to the characteristics of each city, the existing
problems and the different trends of development,
combined with the economic development situation of
each city, according to the local conditions. In order to
gradually narrow the development gap between Beijing,
Tianjin and Hebei and make people's lives more
prosperous, it is necessary to tap their respective
development potentials and help and support each other
so that each city can find its own way of development.
Reference
[1] Hui, S., Fan, Z., & Ye, S. (2010). Research on
comprehensive evaluation of urban public transport
competitiveness in Hebei province based on
TOPSIS. International Conference on Logistics Systems
& Intelligent Management.
[2] Bo, L. I., & Chen, R. (2016). Comprehensive
evaluation of fishery development level in china
based on entropy weighted topsis index. Journal of
Agricultural Science & Technology.
[3] Dong, Y., Ping, C., Yi, L., Song, A., & Fan, G. (2012).
Comprehensive Evaluation of the Tank Firepower
Performance Based on the Topsis
Method. International Conference on Industrial
Control & Electronics Engineering.
[4] Zhao, L., & Meng, L. (2014). Evaluation and empirical
study on regional technology innovation ability
based on topsis method. Journal of Tianjin
University, 602-605, 53-59.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD29203 | Volume – 3 | Issue – 6 | September - October 2019 Page 617
[5] YAO, Hong, JIN, Xue, LI, & YANG, et al. (2010). The
Comprehensive Evaluation Model of Economy Based
on the Scientific Concept of Development and
Empirical Research on Liaoning
Province. International Conference on Financial Risk
& Corporate Finance Management.
[6] Ma, R. B., Xu, S. M., Dong, Y. C., & Fan, G. H. (2012).
Comprehensive evaluation on weapon system of
main battle tank based on topsis method. Advanced
Materials Research, 538-541, 2949-2952.
[7] Liu, Y. (2017). The Study on Smart City Construction
Assessment Based on TOPSIS—"the Beijing-Tianjin-
Tangshan City Clusters" as the Case. International
Conference on Smart City & Systems Engineering.
[8] Xie, X. L., Zhang, W. H., Ding, H., & Wang, S. P. (2014).
Evaluation method for the development level of the
urban public transportation based on the improved
topsis method. Journal of Transport Science &
Engineering.
[9] Cui, N., Zhang, Z., Lou, Y., Gong, D., & Liu, X. (2016).
Evaluation model of comprehensive agricultural
water-saving development level based on topsis in a
regional area. Journal of Basic Science & Engineering.
[10] Yang, J., & Yonghai, X. U. (2017). Comprehensive
evaluation method of node voltage sag severity based
on topsis model and combination weights. Power
System Protection & Control, 45(18), 88-95.
[11] Zhao, F., Wang, J., Wei, Z., Zhao, T., Meng, X., & Chen,
D. (2016). Hierarchical evaluation of smart
distribution grid based on improved g1-topsis
method. Power System Technology.
[12] Fu, J., Wang, Y., & Sun, Y. (2015). Research on city
cultural and creative industries development
evaluation based on entropy-weighting
TOPSIS. Control & Decision Conference.
[13] Dan, Y. U., Zhang, L., & Zhang, C. H. (2016). Evaluation
on regional development potential of forest biomass
energy based on topsis method. Journal of Beijing
Forestry University.

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Comprehensive Evaluation of Economic Development Level of Beijing, Tianjin and Hebei Cities Based on TOPSIS Method

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 3 Issue 6, October 2019 @ IJTSRD | Unique Paper ID – IJTSRD29 Comprehensive Evaluation Beijing, Tianjin and 1School of Law, Beijing 1,2Beijing Wuzi University, Beijing, China ABSTRACT The balance of regional economic development is very important for coordinated development. As the "Capital Economic Circle" of China, Beijing-Tianjin-Hebei region plays an important role in the national economic development. However, due to the and culture, the economic development levels of cities in Beijing Hebei are unbalanced. This paper constructs a comprehensive evaluation index system of economic development level, makes empirical analysis by using the method of entropy weight-TOPSIS, and ranks the comprehensive scores. It is concluded that Beijing ranks first, Tianjin ranks second, and Hebei ranks relatively lower. KEYWORDS: Beijing-Tianjin-Hebei, Economic Development Level, TOPSIS 1. INTRODUCTION Urban development includes economic, political, cultural, social and environmental factors. Among them, economy is the basis to promote the all-round development of society. In the 13 cities of Beijing, Tianjin and Hebei, the uneven distribution of talents and the uneven accumulation of commercial resources lead to great differences in the level of economic development of each city, and the gap between rich and poor is increasing. It is necessary to evaluate objectively and correctly the economic development level of Beijing, Tianjin and Heb understand comprehensively the economic development situation and its differences, and to better reflect the strengths and weaknesses of each city in all aspects. The contribution of each city to the economic development of Beijing, Tianjin and Hebei is different, and there are also significant differences in the advantages and disadvantages. This paper adopts the research method of multi-index comprehensive evaluation, uses the entropy weight-TOPSIS analysis and cluster analysis, objectively gets the conclusion of evaluating the economic development of each district, finds out the positioning of each city, and defines the developed cities. With the pattern of backward cities, the government can give full play to its functions more pertinently, ta improvement measures according to the actual situation International Journal of Trend in Scientific Research and Development (IJTSRD) 2019 Available Online: www.ijtsrd.com e 29203 | Volume – 3 | Issue – 6 | September - Comprehensive Evaluation of Economic Development Level nd Hebei Cities Based on TOPSIS Method Xiaomei Zou1, Renhao Jin2 School of Law, Beijing, 2School of Information Beijing Wuzi University, Beijing, China The balance of regional economic development is very important for coordinated development. As the "Capital Economic Circle" of China, Hebei region plays an important role in the national economic development. However, due to the factors of resources, education and culture, the economic development levels of cities in Beijing-Tianjin- Hebei are unbalanced. This paper constructs a comprehensive evaluation index system of economic development level, makes empirical analysis by TOPSIS, and ranks the comprehensive scores. It is concluded that Beijing ranks first, Tianjin ranks second, and Hebei, Economic Development Level, TOPSIS How to cite this paper Renhao Jin "Comprehensive Evaluation of Economic Development Level of Beijing, Tianjin and Hebei Cities Based on TOPSIS Method" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456 6470, Volu Issue-6, October 2019, pp.614 https://www.ijtsrd.com/papers/ijtsrd29 203.pdf Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/b y/4.0) , political, cultural, social and environmental factors. Among them, economy is round development of society. In the 13 cities of Beijing, Tianjin and Hebei, the uneven distribution of talents and the uneven accumulation of mercial resources lead to great differences in the level of economic development of each city, and the gap between rich and poor is increasing. It is necessary to evaluate objectively and correctly the economic development level of Beijing, Tianjin and Hebei, to understand comprehensively the economic development situation and its differences, and to better reflect the strengths and weaknesses of each city in all aspects. The contribution of each city to the economic development Hebei is different, and there are also significant differences in the advantages and disadvantages. This paper adopts the research method of index comprehensive evaluation, uses the entropy TOPSIS analysis and cluster analysis, objectively s the conclusion of evaluating the economic development of each district, finds out the positioning of each city, and defines the developed cities. With the pattern of backward cities, the government can give full play to its functions more pertinently, take effective improvement measures according to the actual situation of the cities themselves characteristic economy of the region, and narrow the differences among the cities. It is of great significance to realize the sustainable development and comprehensive development of the economy of Beijing, Tianjin and Hebei. 2. TOPSIS Method Entropy weight method is an objective weighting method. The basic idea is to determine the objective weights according to the variability of indicator entropy of the index is smaller, the information provided by the index will be larger, and the weight of the comprehensive evaluation should be higher. On the contrary, if the information entropy is large, the amount of information provided is small and the weight is low. TOPSIS is a method to rank the approaching degree of idealized objects according to a limited number of evaluation objects. It is a method to evaluate the relative advantages and disadvantages of existing objects. TOP method is a sort method which keeps approaching the ideal solution. The so-called ideal solution is the optimal solution, and its attribute values reach the best value in each scheme. The negative ideal solution is the worst solution, which makes its attribute values reach the worst value in all schemes. The rule of scheme ranking is to compare all calculated ideal solutions with negative ideal International Journal of Trend in Scientific Research and Development (IJTSRD) e-ISSN: 2456 – 6470 October 2019 Page 614 Economic Development Level of TOPSIS Method How to cite this paper: Xiaomei Zou | Renhao Jin "Comprehensive Evaluation of Economic Development Level of Beijing, Tianjin and Hebei Cities Based on TOPSIS Method" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-3 | 6, October 2019, pp.614-617, URL: https://www.ijtsrd.com/papers/ijtsrd29 Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) http://creativecommons.org/licenses/b cultivate and develop the characteristic economy of the region, and narrow the differences among the cities. It is of great significance to le development and comprehensive development of the economy of Beijing, Tianjin and Hebei. Entropy weight method is an objective weighting method. The basic idea is to determine the objective weights according to the variability of indicators. If the information entropy of the index is smaller, the information provided by the index will be larger, and the weight of the comprehensive evaluation should be higher. On the contrary, if the information entropy is large, the amount of ovided is small and the weight is low. TOPSIS is a method to rank the approaching degree of idealized objects according to a limited number of evaluation objects. It is a method to evaluate the relative advantages and disadvantages of existing objects. TOPSIS method is a sort method which keeps approaching the called ideal solution is the optimal solution, and its attribute values reach the best value in each scheme. The negative ideal solution is the worst ttribute values reach the worst value in all schemes. The rule of scheme ranking is to compare all calculated ideal solutions with negative ideal IJTSRD29203
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD29203 | Volume – 3 | Issue – 6 | September - October 2019 Page 615 solutions. If one of the schemes is the closest to the ideal solution and at the same time far from the negative ideal solution, then the scheme is the best one. This paper will use the method of Entropy Weight-TOPSIS to analyze and evaluate the level of economic development with 11 secondary indicators based on the data of 13 cities in Beijing, Tianjin and Hebei. The calculating steps for TOPSIS method: <1> Standardization Because the indicators are different, and there are different units, so they are transformed, that is, standardized processing. Suppose there are m index labels from ܺଵ,ܺଶ to ܺ௠,and Xi={ ‫ݔ‬ଵ,‫ݔ‬ଶ,…‫ݔ‬௡} }It is assumed that the standardized values of each index data are ܻଵ,ܻଶ,…ܻ௠,and the Standardized formula is ܻ௜௝ = ܺ௜௝ − min (ܺ௜) maxሺܺ௜ሻ − min (ܺ௜) <2> Calculating Information Entropy ‫ܧ‬௝ = −‫ܭ‬ ෍ ‫ݕ‬௜௝݈݊‫ݕ‬௜௝, ‫ݓ‬ℎ݁‫,݁ݎ‬ K is a constant, K = 1 ݈݊௠ ௠ ௜ୀଵ Next, standardized data need to be normalized and information entropy value calculated to prepare for the weight of evaluation index. <3> Calculating the Weight of Evaluation Index Based on calculated Information Entropy,i. e., ‫ܧ‬ଵ,‫ܧ‬ଶ,…‫ܧ‬௠, calculating the weight for each index ܹ௜ = ଵିா೔ ௠ି∑ ா೔ ,i = 1, 2,. . . ,m <4> Calculating Entropy Weight Matrix Accumulative evaluation of all indicators in a region by using the entropy weight matrix: R = WY,where, R୧୨ = ሺr୧୨ሻ r୧୨ is the ith objects to be evaluated on the jth values standardized by evaluation indicators. <5>Determining positive ideal solution S+ and negative ideal solution S- ܵା = ݉ܽ‫ݔ‬௝൫‫ݎ‬௜௝൯,݅ = 1,2, … ,݉;݆ = 1,2, … ,݊; ܵି = ݉݅݊௝൫‫ݎ‬௜௝൯,݅ = 1,2, … ,݉;݆ = 1,2, … ,݊ <6> Calculating the distance from indicator vector to ideal solutions ݀௜ ା = ඩ෍൫‫ݎ‬௜௝ − ‫ݎ‬௝ ା ൯ ଶ ௠ ௝ୀଵ ,(݅ = 1,2, … ,݉;݆ = 1,2, … ,݊ ݀௜ ି = ඩ෍൫‫ݎ‬௜௝ − ‫ݎ‬௝ ି ൯ ଶ ௠ ௝ୀଵ ,(݅ = 1,2, … ,݉;݆ = 1,2, … ,݊ሻ <7> Calculating Comprehensive Score ‫ܨ‬௝ = ݀௝ − ሺ݀௝ ା + ݀௝ ି ሻ where, F୨ is the closeness between the evaluated object and the optimal scheme. If the value is larger, it proves that the evaluated object is better. 3. Construction of the Index System of Economic Development Level Economic development is a comprehensive concept. No single index can fully reflect the influencing factors of economic development. There are many kinds of urban economic indicators. In order to fully and systematically describe the economic development level of Beijing, Tianjin and Hebei, this paper finds out some indicators that can reflect the comprehensive economic level. On the basis of referring to relevant literature and combining with the characteristics of Beijing, Tianjin and Hebei, 11 relevant indicators are selected to construct the evaluation index system of economic development, so as to reflect the economic development level of each city comprehensively and objectively. The index system is divided into three categories of first- level indicators and 11 second-level indicators. Among them, economic development indicators are designed to show the impact of macroeconomic variables on economic development; medical insurance indicators show the impact of medical level and social security on the economy; and educational science and technology indicators show the impact of scientific and technological talents on the economy. According to the theoretical basis of each index, the evaluation index system of economic development level as shown in Table 1 is obtained. 4. Results and Conclusion The weight results of 11 evaluation indicators obtained by the Entropy Weight Method are shown in table 2.The following conclusions can be drawn: the value-added of tertiary industry has the greatest impact on economic development, followed by the amount of patent authorization, the number of ordinary secondary schools and the number of people participating in basic endowment insurance for urban and rural residents have a weak impact, and the number of people participating in basic medical insurance for urban and rural residents has a minimum impact.
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD29203 | Volume – 3 | Issue – 6 | September - October 2019 Page 616 Table1. Evaluation Index of Economic Development Level First level index Two level indices Symbol Economic Development Category Gross regional product X1 Total retail sales of consumer goods X2 Value added of tertiary industry X3 Per capita disposable income of urban residents X4 Per capita consumption expenditure of urban residents X5 Medical insurance category Number of beds in health institutions X6 Number of health technicians X7 Number of participants in basic old-age insurance for urban and rural residents X8 Number of Participants in Basic Medical Insurance for Urban and Rural Residents X9 Educational Science and Technology Patent authorization X10 Number of General Secondary Schools X11 Table2. Index weight Two level indices Weight X1 0.11742339 X2 0.10532077 X3 0.16762678 X4 0.0722955 X5 0.06991955 X6 0.06600793 X7 0.11176024 X8 0.04033325 X9 0.0371525 X10 0.16553236 X11 0.046628 According to the comprehensive score obtained by the Topsis method, the total score ranking of 13 cities in Beijing, Tianjin and Hebei in 2017 is obtained, as shown in Table 3. Table3 TOPSIS Composite score City Score Rank Beijing 0.872892 1 Tianjin 0.501636 2 Shijiazhuang 0.198816 3 Baoding 0.184877 4 Tangshan 0.162345 5 Handan 0.160152 6 Cangzhou 0.129136 7 Xingtai 0.118116 8 Langfang 0.107106 9 Qinhuangdao 0.05461 10 Hengshui 0.04798 11 Zhangjiakou 0.040931 12 Chengde 0.031098 13 The economic development evaluation value of Beijing, Tianjin and Hebei is between 0-1. The larger the value, the better the development and the better the comprehensive evaluation. There is no doubt that Beijing ranks first, followed by Tianjin, and most of the cities in Hebei Province which are close to the capital Beijing rank first and develop better. The rankings are Shijiazhuang City, Baoding City, Tangshan City, Handan City, Cangzhou City, Xingtai City, Langfang City, Qinhuangdao City, Hengshui City and Zhangjia City. Kou City and Chengde City. Shijiazhuang City ranked third and Chengde City ranked last have far different scores, which indicates that the development level of each city in Hebei Province is quite different. Generally speaking, the level of economic development in Beijing, Tianjin and Hebei is uneven. In order to change this gap and promote the economic development of each city, corresponding measures must be taken. Firstly, according to the characteristics of each city, the existing problems and the different trends of development, combined with the economic development situation of each city, according to the local conditions. In order to gradually narrow the development gap between Beijing, Tianjin and Hebei and make people's lives more prosperous, it is necessary to tap their respective development potentials and help and support each other so that each city can find its own way of development. Reference [1] Hui, S., Fan, Z., & Ye, S. (2010). Research on comprehensive evaluation of urban public transport competitiveness in Hebei province based on TOPSIS. International Conference on Logistics Systems & Intelligent Management. [2] Bo, L. I., & Chen, R. (2016). Comprehensive evaluation of fishery development level in china based on entropy weighted topsis index. Journal of Agricultural Science & Technology. [3] Dong, Y., Ping, C., Yi, L., Song, A., & Fan, G. (2012). Comprehensive Evaluation of the Tank Firepower Performance Based on the Topsis Method. International Conference on Industrial Control & Electronics Engineering. [4] Zhao, L., & Meng, L. (2014). Evaluation and empirical study on regional technology innovation ability based on topsis method. Journal of Tianjin University, 602-605, 53-59.
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