## 4 Case Study
### Data Acquisition and Result
#### 4.2.2 Result of the Development of City-Industry Integration
Although the level of urbanization and economic development in Neijiang has improved, it has been labeled as a \"large agricultural city and weak industrial city\". Therefore, the development level of city-industry integration is slow, and the ranking has not been significantly improved. Dazhou, as an underdeveloped area in China, is backward in terms of its productivity and innovation ability, but it is rich in steel resources and has enormous potential for economic and social development. On the one hand, Dazhou has vigorously developed steel in urban areas in recent years, resulting in an improper discharge of \"three wastes\", and greater constraints on the development of upstream and downstream industries. On the other hand, Dazhou's public construction has not been perfect, and people's livelihood cannot be better guaranteed. Thus, the development of Dazhou's city-industry integration has shown repeated up-and-down fluctuations. 2. Evaluation results and discussion of each subsystem. The difference of the city-industry integration degree indicates that the development of city-industry integration also has the property of regional differences. According to _the Function orientation of five economic zones in Sichuan_, this paper divided Sichuan into the Chengdu Plain Economic Zone, the South Sichuan Economic Zone, the Northeast Sichuan Economic Zone, and Panzhihua, as shown in Figure 5. The development level of city-industry integration is affected by many aspects, and GRA-TOPSIS was used to calculate the closeness of six subsystems in each city. The results of 2010 were compared with those of 2019, as shown in Table 6. In general, the whole of Sichuan has a certain growth in habitat and employment. As the dynamic system of city-industry integration, people provide labor and technical support. The rising score of this subsystem indicates that the development of city-industry integration in Sichuan has driven most people. \begin{table}
\begin{tabular}{l c c c c c c c c c} \hline \hline \multirow{2}{*}{**Region**} & \multicolumn{2}{c}{**2010**} & \multicolumn{2}{c}{**2011**} & \multicolumn{2}{c}{**2015**} & \multicolumn{2}{c}{**2018**} & \multicolumn{2}{c}{**2019**} \\ \cline{2-10}  & **Score** & **Ranking** & **Score** & **Ranking** & **Score** & **Ranking** & **Score** & **Ranking** & **Score** & **Ranking** \\ \hline Chengdu & 0.6282 & 1 & 0.5970 & 1 & 0.6228 & 1 & 0.6390 & 1 & 0.6300 & 1 \\ Zigong & 0.3835 & 4 & 0.3745 & 7 & 0.3790 & 6 & 0.3682 & 13 & 0.3718 & 9 \\ Panzhihua & 0.3975 & 3 & 0.3963 & 4 & 0.3910 & 4 & 0.4062 & 2 & 0.3917 & 3 \\ Luzhou & 0.3529 & 16 & 0.3395 & 17 & 0.3570 & 13 & 0.3657 & 14 & 0.3639 & 14 \\ Deyang & 0.3827 & 6 & 0.3755 & 6 & 0.3793 & 5 & 0.3851 & 5 & 0.3976 & 2 \\ Mianyang & 0.4186 & 2 & 0.4077 & 3 & 0.4164 & 3 & 0.3891 & 3 & 0.3786 & 7 \\ Guangyuan & 0.3634 & 12 & 0.3494 & 13 & 0.3498 & 15 & 0.3864 & 4 & 0.3912 & 4 \\ Suining & 0.3548 & 14 & 0.3523 & 11 & 0.3707 & 8 & 0.3719 & 10 & 0.3547 & 18 \\ Neijiang & 0.3559 & 13 & 0.3468 & 15 & 0.3539 & 14 & 0.3352 & 18 & 0.3612 & 16 \\ Leshan & 0.3832 & 5 & 0.3770 & 5 & 0.3764 & 7 & 0.3698 & 11 & 0.3714 & 10 \\ Nanchong & 0.3784 & 7 & 0.3749 & 9 & 0.3671 & 11 & 0.3724 & 8 & 0.3711 & 11 \\ Meishan & 0.3644 & 11 & 0.3677 & 2 & 0.4251 & 2 & 0.3730 & 7 & 0.3759 & 8 \\ Yibin & 0.712 & 8 & 0.3558 & 10 & 0.3680 & 10 & 0.3739 & 6 & 0.3797 & 6 \\ Guang’an & 0.3665 & 10 & 0.3749 & 16 & 0.3432 & 16 & 0.3624 & 16 & 0.3669 & 12 \\ Dazhou & 0.3446 & 17 & 0.3677 & 14 & 0.3366 & 18 & 0.3697 & 12 & 0.3609 & 17 \\ Ya’an & 0.3708 & 9 & 0.3558 & 8 & 0.3689 & 9 & 0.3720 & 9 & 0.3908 & 5 \\ Bazhong & 0.3414 & 18 & 0.3735 & 18 & 0.3378 & 17 & 0.3646 & 15 & 0.3643 & 13 \\ Ziyang & 0.3540 & 15 & 0.3735 & 12 & 0.3597 & 12 & 0.3482 & 17 & 0.3616 & 15 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Changes in the development of city–industry integration.