Evaluation and Temporal-Spatial Evolution of Regional New and Old Driving Force Conversion in Shandong Province

Xiuguo Wu () and Sipeng Wang
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Xiuguo Wu: School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China
Sipeng Wang: School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China

Sustainability, 2022, vol. 14, issue 22, 1-23

Abstract: New and old driving force conversion is regarded as the principal strategy to realize economic development from high speed to high quality currently in China. Exploring the temporal-spatial evolution of the new and old driving force conversion can help decision-makers formulate relevant policies and regulations, thereby promoting industrial restructuring and sustainable development of the economy. From the view of regional evolution, this study first presents the methods of measuring conversion speed and direction of the new and old driving force, including the Moore index and the advanced industrial structure coefficient. Then, the conversion development of new and old driving force is evaluated using an improved entropy method and a novel evaluation index system with eight first-level and twenty-two second-level indicators. After that, the spatial correlation of new and old driving force conversion is further analyzed using the global and local Moran’s I, respectively. Finally, the proposed approach is applied to regional cities’ temporal-spatial evolution analysis in Shandong province in China. The results show that: (1) each cities’ conversion development of new and old driving force in the studied province has been steadily improved in recent years, and their conversion developments show noticeable agglomeration effects from a spatial view; (2) however, the conversion of the new and old driving force in the studied province is still at a low level with unbalanced and insufficient development, which prompts the urgent need to accelerate inter-regional collaboration according to their local conditions in the future.

Keywords: new and old driving force conversion; temporal-spatial evolution; the Moore index; Moran’s I; Shandong province in China (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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