Measurement of Coordination Degree between Economy and Logistics in Hebei Province, China, Based on Fractional Grey Model (1, 1)
Modern logistics is the supporting industry of the national economy. The synergy between logistics and economy has been highlighted in northern China’s Hebei Province. This study measures the coordination degree between economy and logistics in Hebei, drawing on the grey system theory. Specifically,...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/9539940 |
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| author | Na Zhou Juan Tan Xiangyang Ren Xinxin Jiang |
| author_facet | Na Zhou Juan Tan Xiangyang Ren Xinxin Jiang |
| author_sort | Na Zhou |
| collection | DOAJ |
| description | Modern logistics is the supporting industry of the national economy. The synergy between logistics and economy has been highlighted in northern China’s Hebei Province. This study measures the coordination degree between economy and logistics in Hebei, drawing on the grey system theory. Specifically, the entropy weight-grey correlation method was introduced to evaluate the interplay between economic and logistics factors in Hebei between 2011 and 2020. The evaluation suggests that private car ownership has the most significant correlation with the economy and that the total retail sales of social consumer goods are the leading impactor of logistics. Next, the fractional grey model (FGM) (1, 1) was employed to forecast the economic and logistics indices of Hebei in the next five years. The forecast results show that FGM (1, 1) achieved a higher prediction precision than the conventional GM (1, 1) and discrete grey model (DGM) (1, 1). Based on the original data and forecasted results, the coupling coordination degree (CCD) model was adopted to compute the CCD between the economy and logistics in Hebei during 2011–2025. It was calculated that the coupling coordination exhibited a continuous upward trend. From 2011 to 2025, the CCD between economy and logistics in Hebei evolves from moderate incoordination, mild incoordination, weak incoordination, and weak coordination, all the way to moderate coordination. In the light of the analysis results, several suggestions were presented to promote the coordinated development between economy and logistics in Hebei. |
| format | Article |
| id | doaj-art-afffd4351a484ded90df5ecbf88746ac |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-afffd4351a484ded90df5ecbf88746ac2025-08-20T03:39:15ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/9539940Measurement of Coordination Degree between Economy and Logistics in Hebei Province, China, Based on Fractional Grey Model (1, 1)Na Zhou0Juan Tan1Xiangyang Ren2Xinxin Jiang3School of Management Engineering and BussinessSchool of Management Engineering and BussinessSchool of Management Engineering and BussinessSchool of Management Engineering and BussinessModern logistics is the supporting industry of the national economy. The synergy between logistics and economy has been highlighted in northern China’s Hebei Province. This study measures the coordination degree between economy and logistics in Hebei, drawing on the grey system theory. Specifically, the entropy weight-grey correlation method was introduced to evaluate the interplay between economic and logistics factors in Hebei between 2011 and 2020. The evaluation suggests that private car ownership has the most significant correlation with the economy and that the total retail sales of social consumer goods are the leading impactor of logistics. Next, the fractional grey model (FGM) (1, 1) was employed to forecast the economic and logistics indices of Hebei in the next five years. The forecast results show that FGM (1, 1) achieved a higher prediction precision than the conventional GM (1, 1) and discrete grey model (DGM) (1, 1). Based on the original data and forecasted results, the coupling coordination degree (CCD) model was adopted to compute the CCD between the economy and logistics in Hebei during 2011–2025. It was calculated that the coupling coordination exhibited a continuous upward trend. From 2011 to 2025, the CCD between economy and logistics in Hebei evolves from moderate incoordination, mild incoordination, weak incoordination, and weak coordination, all the way to moderate coordination. In the light of the analysis results, several suggestions were presented to promote the coordinated development between economy and logistics in Hebei.http://dx.doi.org/10.1155/2022/9539940 |
| spellingShingle | Na Zhou Juan Tan Xiangyang Ren Xinxin Jiang Measurement of Coordination Degree between Economy and Logistics in Hebei Province, China, Based on Fractional Grey Model (1, 1) Discrete Dynamics in Nature and Society |
| title | Measurement of Coordination Degree between Economy and Logistics in Hebei Province, China, Based on Fractional Grey Model (1, 1) |
| title_full | Measurement of Coordination Degree between Economy and Logistics in Hebei Province, China, Based on Fractional Grey Model (1, 1) |
| title_fullStr | Measurement of Coordination Degree between Economy and Logistics in Hebei Province, China, Based on Fractional Grey Model (1, 1) |
| title_full_unstemmed | Measurement of Coordination Degree between Economy and Logistics in Hebei Province, China, Based on Fractional Grey Model (1, 1) |
| title_short | Measurement of Coordination Degree between Economy and Logistics in Hebei Province, China, Based on Fractional Grey Model (1, 1) |
| title_sort | measurement of coordination degree between economy and logistics in hebei province china based on fractional grey model 1 1 |
| url | http://dx.doi.org/10.1155/2022/9539940 |
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