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International Journal of Sustainable Engineering Volume 15, 2022 - Issue 1
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Research Article

The influence and analysis of urban spatial elements on national economic development

Yulin Zhaoa Department of Computer Engineering, School of Computer and Information, Qiannan Normal University for Nationalities, Guizhou, Duyun, China;b Key Laboratory of Machine Learning and Unstructured Data Processing of Qiannan, DuyunGuizhou, ChinaView further author information
,
Junke Lia Department of Computer Engineering, School of Computer and Information, Qiannan Normal University for Nationalities, Guizhou, Duyun, China;b Key Laboratory of Machine Learning and Unstructured Data Processing of Qiannan, DuyunGuizhou, ChinaCorrespondence[email protected]
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,
Kai Liua Department of Computer Engineering, School of Computer and Information, Qiannan Normal University for Nationalities, Guizhou, Duyun, China;c Key Laboratory of Complex Systems and Intelligent Optimization of Qiannan, DuyunGuizhou, ChinaCorrespondence[email protected]
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&
Jiang’e Wanga Department of Computer Engineering, School of Computer and Information, Qiannan Normal University for Nationalities, Guizhou, Duyun, ChinaView further author information
Pages 86-97 | Received 26 Dec 2021, Accepted 24 Mar 2022, Published online: 04 Apr 2022

Figures & data

Figure 1. The main steps of the study.

There are five main steps in the flowchart.
Figure 1. The main steps of the study.

Table 1. Definition of variables.

Table 2. Regional Division of Provinces.

Figure 2. The principle of panel model construction.

The construction and checking process of panel regression model.
Figure 2. The principle of panel model construction.

Figure 3. Correlation test between variables.

(a) The linear correlation coefficient between lnGDP and lnMotoreVehicles. (b) The linear correlation coefficient between lnGDP and lnParivateCars. (c) The linear correlation coefficient between lnGDP and lnOnlineCars. (d) The linear correlation coefficient between lnGDP and lnTECH. (e) The linear correlation coefficient between lnGDP and lnAQI. (f) The linear correlation coefficient between lnGDP and lnPM2.5. (g) The linear correlation coefficient between lnGDP and lnCoalConsum. (h) The linear correlation coefficient between lnGDP and lnGasConsum. (i) The linear correlation coefficient between lnGDP and lnElectriConsum. (j) The linear correlation coefficient between lnGDP and lnHousePrices.
Figure 3. Correlation test between variables.

Table 3. Unit root test results of variables.

Table 4. Summary of panel model results in eastern, central and western regions.

Table 5. Model test results.

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