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Use Logistic Regression to Investigate Car Purchase Restrictions

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DOI: 10.23977/tmte.2020.030103 | Downloads: 6 | Views: 296

Author(s)

Longyue Fang 1

Affiliation(s)

1 School of Science, Hangzhou Normal University, Hangzhou, Zhejiang, China

Corresponding Author

Longyue Fang

ABSTRACT

In order to investigate the opinions of Hangzhou citizens on the possible future release of the purchase restriction policy, four representative areas of Hangzhou-Jianggan District, Shangcheng District, Xihu District and Binjiang District were selected for field investigation. A binary logistic regression model was established for the influencing factors of car purchase intention and car purchase intention, and the model was applied to predict the car purchase intention of Hangzhou citizens, and the results were in line with the prediction. Based on the investigation, four suggestions were put forward to the relevant departments regarding the problems that may be encountered in the implementation of the policy of liberalizing the restriction on vehicles in Hangzhou.

KEYWORDS

Deregulation of purchase restriction policy, dual logistic regression, car purchase intention

CITE THIS PAPER

Longyue Fang. Use Logistic Regression to Investigate Car Purchase Restrictions. Tourism Management and Technology Economy (2020) 3: 20-25. DOI: http://dx.doi.org/10.23977/tmte.2020.030103.

REFERENCES

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[4] Pang Jie, Liu Kai. Countermeasures to improve the development environment of the new energy automobile industry [J]. Operation and Management. 2015 (03)

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