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Web of Proceedings - Francis Academic Press

Study on regional competitiveness differentiation of Shandong Peninsula Urban Agglomeration

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DOI: 10.25236/iemb.2021.030


Jia Cui, Shengyu Xu

Corresponding Author

Shengyu Xu


In this paper since 2011, the State Council has formally incorporated the Blue Economic Zone of Shandong Peninsula into the 12th Five-Year Plan, which has become an important part of the national strategy. To maximize the comprehensive competitiveness of Shandong Peninsula is an urgent problem to be solved. By sorting out the statistical indicators of urban development from 2010 to 2018, this paper selects 16 indicators, such as urban GDP, per capita green space area, as indicators to measure urban competitiveness, and uses principal component analysis to get the ranking of urban competitiveness in recent years. Among them, Qingdao and Jinan are the two centers of Shandong Peninsula region, their competitiveness is always in the first two places, Yantai as the regional sub-center, always in the third place, the comprehensive evaluation of Dongying and Weifang has an upward trend, Zibo and Rizhao has a downward trend. Combine the ranking of cities in recent years with government policies, and forecast the development trend of cities. That is to say, the ranking of Zibo will rise steadily and Dongying city will fall accordingly. In addition, through the analytic hierarchy process, it is concluded that the main factors affecting urban competitiveness are scale competitive and environmental competitiveness. Combining with the development situation of each city, this paper puts forward the development countermeasures of Shandong Peninsula Blue Economic Zone. For example, Dongying has shortcomings in functional competitiveness, and should actively develop new green industries. Rizhao has shortcomings in environmental competitiveness, and should actively expand trade imports and exports by taking advantage of its own advantages.


Shandong Peninsula Blue Economic Zone, Urban Competitiveness, Principal Component Analysis Introduction