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Authors: Ping Liu 1 and Hanjie Jiang 2

Affiliations: 1 The administrative management, Harbin University of Commerce, Harbin, China ; 2 Heilongjiang Province Public management, Harbin University of Commerce, No. 1 Xuehai Street, Songbei District, Harbin City, China

Keyword(s): Public Management, Public Service, Degree of Coupling Region, Regional Differences.

Abstract: The coupled coordination degree model was constructed to study the coordination degree of urban public management and public services by integrating data through data analysis of the SPSS and RESSET research database. The study shows that the level of urban public management is positively correlated with the level of public services. The higher the level of urban public management, the better the public services provided. The level of urban public management is the main reason for the regional differences in the degree of coordination between urban public management and public services.

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Paper citation in several formats:
Liu, P. and Jiang, H. (2023). Research on Urban Public Management and Public Services Based on SPSS Software Data Analysis: Taking Heilongjiang Province as an Example. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 584-587. DOI: 10.5220/0011752400003607

@conference{icpdi23,
author={Ping Liu. and Hanjie Jiang.},
title={Research on Urban Public Management and Public Services Based on SPSS Software Data Analysis: Taking Heilongjiang Province as an Example},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - ICPDI},
year={2023},
pages={584-587},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011752400003607},
isbn={978-989-758-620-0},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - ICPDI
TI - Research on Urban Public Management and Public Services Based on SPSS Software Data Analysis: Taking Heilongjiang Province as an Example
SN - 978-989-758-620-0
AU - Liu, P.
AU - Jiang, H.
PY - 2023
SP - 584
EP - 587
DO - 10.5220/0011752400003607
PB - SciTePress

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