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E-raamat: Urban Composite Development Index For 17 Shandong Cities: Ranking And Simulation Analysis Based On China's Five Development Concepts

(Lee Kuan Yew School Of Public Policy, Nus, S'pore), (Lee Kuan Yew School Of Public Policy, Nus, S'pore), (Lee Kuan Yew School Of Public Policy, Nus, S'pore), (Lee Kuan Yew School Of Public Policy, Nus, S'pore)
  • Formaat: 460 pages
  • Ilmumisaeg: 19-Dec-2018
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • Keel: eng
  • ISBN-13: 9789813272354
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  • Formaat: 460 pages
  • Ilmumisaeg: 19-Dec-2018
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • Keel: eng
  • ISBN-13: 9789813272354

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Shandong is a thriving economic centre with a Gross Regional Domestic Product of RMB 6.3 trillion in 2015, the third-highest in China. It is also the third-largest province by land area in the country with the second-largest resident population of 98,470,000. With such impressive characteristics, Shandong's urbanisation rate had quickly expanded from 45 percent in 2005 to 57 percent in 2017. As such, in line with the growing affluence of the province, the people's ever-growing demand for urban development in areas such as infrastructure, public services, education and environmental protection has exceeded the provision of such facilities. In view of these developments, the Asia Competitiveness Institute (ACI) at the Lee Kuan Yew School of Public Policy (LKYSPP), National University of Singapore (NUS) developed Shandong's first city-level index which assesses the levels of urban development and liveability for each city. The ranking and simulation analysis via the Urban Composite Development Index for 17 Shandong cities was constructed to provide an empirically robust framework to better understand the quality of urban development of Shandong cities in a comprehensive and rigorous manner, while at the same time highlight important policy implications for further growth and development. Further, this publication incorporates key elements which ensures that the construction of the index is unique, empirically sound and relevant to Shandong's development in the context of China. Overall, the analysis provided in this book relates to the broad dimensions of urban development of Shandong cities and can stand up to academic scrutiny as it is based on rigorous methodological foundations. In addition, the study will remain accessible and appealing to policymakers as it offers tailored policy recommendations based on the analysis that will enable them to take appropriate policy interventions in each city to improve their overall performance in urban development. This research will help to identify the strengths and weaknesses of each city and empower policymakers to formulate more effective development strategies.

About ACI iii
Foreword xvii
Preface xix
Acknowledgements xxi
About the Authors xxiii
List of Abbreviations
xxv
List of Tables and Figures
xxvii
Part I Overview of the Urban Composite Development Index for 17 Cities in Shandong Province
1(72)
Chapter 1 Introductory Notes: Urbanisation and Balanced Development
3(16)
1.1 Global Urbanisation Trends and Challenges
3(2)
1.2 Urbanisation in China and Shandong Province
5(4)
1.3 Profile of Shandong Province: Geographical, Historical, Cultural and Competitiveness
9(5)
1.3.1 Geography
9(1)
1.3.2 History
10(2)
1.3.3 Culture
12(1)
1.3.4 Competitiveness
13(1)
1.4 Outline of the Book
14(1)
References
15(4)
Chapter 2 The Theoretical Foundations and Methodological Framework of the Urban Composite Development Index
19(22)
2.1 Literature Review: Urbanised, Liveable, Sustainable and Intelligent Cities
19(4)
2.1.1 Ranking Studies and Indices at the Global Level
19(1)
2.1.2 Ranking Studies and Indices on China
20(2)
2.1.3 Ranking Studies and Indices at the Sub-National Level in China
22(1)
2.2 Research Motivation, Objectives, and Expected Contributions
23(1)
2.3 Conceptualising the Urban Composite Development Index Based on China's Five Development Concepts
24(6)
2.4 Methodological Framework for the Urban Composite Development Index
30(2)
2.4.1 Scale and Quality of Economic Activities
30(1)
2.4.2 Financial Capacity, Labour Market Flexibility and Economic Vibrancy
30(1)
2.4.3 Good Governance, Effective Leadership and Social Stability
31(1)
2.4.4 Technological Advancement and Innovation Capability
31(1)
2.4.5 Public Service Standards and Quality of Life Improvement
31(1)
2.4.6 Resource Conditions and Environmental Protection
32(1)
2.5 Selection of Ideal Indicators versus Practical Indicators, Data Sources, Constraints, and Proxies
32(2)
2.6 Equal versus Shapley Weight for Six Environments of the Urban Composite Development Index
34(4)
2.6.1 Equal Weight
34(1)
2.6.2 Shapley Value
35(1)
2.6.3 Shapley Weight --- The "Bottom-Up" Approach
36(1)
2.6.4 Comparison between the Shapley Weight Method and the Entropy Weight Method
36(2)
2.7 Beauty Contest versus What-if Simulations and Its Shortcomings
38(1)
References
39(2)
Chapter 3 Empirical Findings of the Urban Composite Development Index for 17 Shandong Cities
41(32)
3.1 Environment Weights
41(2)
3.2 Overall Urban Development Performance
43(2)
3.3 Rankings by Environments
45(12)
3.4 What-if Simulations and Analysis
57(7)
Discussant Note 1
64(4)
Professor Yang Jinwei
Discussant Note 2
68(2)
Dr Li Wei
Discussant Note 3
70(3)
Mr Wang Kejian
Part II In-Depth Analysis on Patterns of Urban Development for 17 Cities in Shandong Province
73(308)
Chapter 4 Binzhou
75(18)
4.1 Profile of Binzhou City
75(2)
4.2 In-Depth Urban Development of Binzhou, 2016
77(9)
4.2.1 Overall Urban Development Performance
77(1)
4.2.2 Urban Development within the Six Environments
78(8)
4.2.3 Median and Maximum Web Analysis
4.3 Summary of Empirical Findings of Binzhou and What-if Urban Development Simulation
4.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
86(2)
4.3.2 What-if Urban Development Simulation
88(3)
4.4 Concluding Notes: Public Policy Implications References
91(2)
Chapter 5 Dezhou
93(18)
5.1 Profile of Dezhou City
93(2)
5.2 In-Depth Urban Development of Dezhou, 2016
95(9)
5.2.1 Overall Urban Development Performance
95(1)
5.2.2 Urban Development within the Six Environments
96(7)
5.2.3 Median and Maximum Web Analysis
103(1)
5.3 Summary of Empirical Findings of Dezhou and What-if Urban Development Simulation
104(3)
5.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
104(2)
5.3.2 What-if Urban Development Simulation
106(1)
5.4 Concluding Notes: Public Policy Implications
107(2)
References
109(2)
Chapter 6 Dongying
111(18)
6.1 Profile of Dongying City
111(2)
6.2 In-Depth Urban Development of Dongying, 2016
113(9)
6.2.1 Overall Urban Development Performance
113(1)
6.2.2 Urban Development within the Six Environments
114(7)
6.2.3 Median and Maximum Web Analysis
121(1)
6.3 Summary of Empirical Findings of Dongying and What-if Urban Development Simulation
122(3)
6.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
122(2)
6.3.2 What-if Urban Development Simulation
124(1)
6.4 Concluding Notes: Public Policy Implications
125(2)
References
127(2)
Chapter 7 Heze
129(18)
7.1 Profile of Heze City
129(2)
7.2 In-Depth Urban Development of Heze, 2016
131(9)
7.2.1 Overall Urban Development Performance
131(1)
7.2.2 Urban Development within the Six Environments
132(7)
7.2.3 Median and Maximum Web Analysis
139(1)
7.3 Summary of Empirical Findings of Heze and What-if Urban Development Simulation
140(3)
7.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
140(2)
7.3.2 What-if Urban Development Simulation
142(1)
7.4 Concluding Notes: Public Policy Implications
143(2)
References
145(2)
Chapter 8 Jinan
147(18)
8.1 Profile of Jinan City
147(2)
8.2 In-Depth Urban Development of Jinan, 2016
149(9)
8.2.1 Overall Urban Development Performance
149(1)
8.2.2 Urban Development within the Six Environments
150(7)
8.2.3 Median and Maximum Web Analysis
157(1)
8.3 Summary of Empirical Findings of Jinan and What-if Urban Development Simulation
158(3)
8.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
158(2)
8.3.2 What-if Urban Development Simulation
160(1)
8.4 Concluding Notes: Public Policy Implications
161(2)
References
163(2)
Chapter 9 Jining
165(18)
9.1 Profile of Jining City
165(2)
9.2 In-Depth Urban Development of Jining, 2016
167(9)
9.2.1 Overall Urban Development Performance
167(1)
9.2.2 Urban Development within the Six Environments
168(7)
9.2.3 Median and Maximum Web Analysis
175(1)
9.3 Summary of Empirical Findings of Jining and What-if Urban Development Simulation
176(3)
9.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
176(2)
9.3.2 What-if Urban Development Simulation
178(1)
9.4 Concluding Notes: Public Policy Implications
179(2)
References
181(2)
Chapter 10 Laiwu
183(18)
10.1 Profile of Laiwu City
183(2)
10.2 In-Depth Urban Development of Laiwu, 2016
185(9)
10.2.1 Overall Urban Development Performance
185(1)
10.2.2 Urban Development within the Six Environments
186(7)
10.2.3 Median and Maximum Web Analysis
193(1)
10.3 Summary of Empirical Findings of Laiwu and What-if Urban Development Simulation
194(3)
10.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
194(2)
10.3.2 What-if Urban Development Simulation
196(1)
10.4 Concluding Notes: Public Policy Implications
197(2)
References
199(2)
Chapter 11 Liaocheng
201(18)
11.1 Profile of Liaocheng City
201(2)
11.2 In-Depth Urban Development of Liaocheng, 2016
203(9)
11.2.1 Overall Urban Development Performance
203(1)
11.2.2 Urban Development within the Six Environments
204(7)
11.2.3 Median and Maximum Web Analysis
211(1)
11.3 Summary of Empirical Findings of Liaocheng and What-if Urban Development Simulation
212(3)
11.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
212(2)
11.3.2 What-if Urban Development Simulation
214(1)
11.4 Concluding Notes: Public Policy Implications
215(2)
References
217(2)
Chapter 12 Linyi
219(18)
12.1 Profile of Linyi City
219(2)
12.2 In-Depth Urban Development of Linyi, 2016
221(9)
12.2.1 Overall Urban Development Performance
221(1)
12.2.2 Urban Development within the Six Environments
222(7)
12.2.3 Median and Maximum Web Analysis
229(1)
12.3 Summary of Empirical Findings of Linyi and What-if Urban Development Simulation
230(3)
12.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
230(2)
12.3.2 What-if Urban Development Simulation
232(1)
12.4 Concluding Notes: Public Policy Implications
233(2)
References
235(2)
Chapter 13 Qingdao
237(18)
13.1 Profile of Qingdao City
237(2)
13.2 In-Depth Urban Development of Qingdao, 2016
239(9)
13.2.1 Overall Urban Development Performance
239(1)
13.2.2 Urban Development within the Six Environments
240(7)
13.2.3 Median and Maximum Web Analysis
247(1)
13.3 Summary of Empirical Findings of Qingdao and What-if Urban Development Simulation
248(3)
13.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
248(2)
13.3.2 What-if Urban Development Simulation
250(1)
13.4 Concluding Notes: Public Policy Implications
251(2)
References
253(2)
Chapter 14 Rizhao
255(18)
14.1 Profile of Rizhao City
255(2)
14.2 In-Depth Urban Development of Rizhao, 2016
257(9)
14.2.1 Overall Urban Development Performance
257(1)
14.2.2 Urban Development within the Six Environments
258(7)
14.2.3 Median and Maximum Web Analysis
265(1)
14.3 Summary of Empirical Findings of Rizhao and What-if Urban Development Simulation
266(3)
14.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
266(2)
14.3.2 What-if Urban Development Simulation
268(1)
14.4 Concluding Notes: Public Policy Implications
269(2)
References
271(2)
Chapter 15 Tai'an
273(18)
15.1 Profile of Tai'an City
273(2)
15.2 In-Depth Urban Development of Tai'an, 2016
275(9)
15.2.1 Overall Urban Development Performance
275(1)
15.2.2 Urban Development within the Six Environments
276(7)
15.2.3 Median and Maximum Web Analysis
283(1)
15.3 Summary of Empirical Findings of Tai'an and What-if Urban Development Simulation
284(3)
15.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
284(2)
15.3.2 What-if Urban Development Simulation
286(1)
15.4 Concluding Notes: Public Policy Implications
287(2)
References
289(2)
Chapter 16 Weifang
291(18)
16.1 Profile of Weifang City
291(2)
16.2 In-Depth Urban Development of Weifang, 2016
293(9)
16.2.1 Overall Urban Development Performance
293(1)
16.2.2 Urban Development within the Six Environments
294(7)
16.2.3 Median and Maximum Web Analysis
301(1)
16.3 Summary of Empirical Findings of Weifang and What-if Urban Development Simulation
302(3)
16.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
302(2)
16.3.2 What-if Urban Development Simulation
304(1)
16.4 Concluding Notes: Public Policy Implications
305(2)
References
307(2)
Chapter 17 Weihai
309(18)
17.1 Profile of Weihai City
309(2)
17.2 In-Depth Urban Development of Weihai, 2016
311(9)
17.2.1 Overall Urban Development Performance
311(1)
17.2.2 Urban Development within the Six Environments
312(7)
17.2.3 Median and Maximum Web Analysis
319(1)
17.3 Summary of Empirical Findings of Weihai and What-if Urban Development Simulation
320(3)
17.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
320(2)
17.3.2 What-if Urban Development Simulation
322(1)
17.4 Concluding Notes: Public Policy Implications
323(2)
References
325(2)
Chapter 18 Yantai
327(18)
18.1 Profile of Yantai City
327(2)
18.2 In-Depth Urban Development of Yantai, 2016
329(9)
18.2.1 Overall Urban Development Performance
329(1)
18.2.2 Urban Development within the Six Environments
330(7)
18.2.3 Median and Maximum Web Analysis
337(1)
18.3 Summary of Empirical Findings of Yantai and What-if Urban Development Simulation
338(3)
18.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
338(2)
18.3.2 What-if Urban Development Simulation
340(1)
18.4 Concluding Notes: Public Policy Implications
341(2)
References
343(2)
Chapter 19 Zaozhuang
345(18)
19.1 Profile of Zaozhuang City
345(2)
19.2 In-Depth Urban Development of Zaozhuang, 2016
347(9)
19.2.1 Overall Urban Development Performance
347(1)
19.2.2 Urban Development within the Six Environments
348(7)
19.2.3 Median and Maximum Web Analysis
355(1)
19.3 Summary of Empirical Findings of Zaozhuang and What-if Urban Development Simulation
356(3)
19.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
356(2)
19.3.2 What-if Urban Development Simulation
358(1)
19.4 Concluding Notes: Public Policy Implications
359(2)
References
361(2)
Chapter 20 Zibo
363(18)
20.1 Profile of Zibo City
363(2)
20.2 In-Depth Urban Development of Zibo, 2016
365(9)
20.2.1 Overall Urban Development Performance
365(1)
20.2.2 Urban Development within the Six Environments
366(7)
20.2.3 Median and Maximum Web Analysis
373(1)
20.3 Summary of Empirical Findings of Zibo and What-if Urban Development Simulation
374(3)
20.3.1 Summary of Empirical Findings, 20% Strongest and Weakest Indicators
374(2)
20.3.2 What-if Urban Development Simulation
376(1)
20.4 Concluding Notes: Public Policy Implications
377(2)
References
379(2)
PART III Tentative Conclusion on the Urban Development of 17 Shandong Cities
381(16)
Chapter 21 Conclusion and the Way Forward
383(14)
21.1 Identifying Key Factors Affecting the Development of Shandong Cities
383(5)
21.2 Evidence-Based Policy Evaluation and Recommendations for Shandong
388(1)
21.3 Urban Development Framework for Other Sub-National Economies in China
389(1)
21.4 Concluding Remarks
390(2)
21.5 Future Research Agenda
392(3)
References
395(2)
Appendix A List of Ideal Indicators for the Urban Composite Development Index 397(8)
Appendix B List of Practical Indicators for the Urban Composite Development Index 405(6)
Appendix C Telephone Survey on "Urban Composite Development Index for 17 Shandong Cities: Ranking and Simulation Analysis Based on China's Five Development Concepts" 411(14)
Appendix D Algorithm for the Computation of Rankings 425