Research on the Urban Construction Status of Prefecture-Level Cities in Heilongjiang Province Based on SPSS Analysis

Shuguang Wang, Haoyan Wang

2022

Abstract

In the different analysis of regional construction and development, many experts and scholars believe that economic development is the main object of analysis, and use GDP index to evaluate the construction situation (Ning, 2001). Although the data are easy to obtain and can be used for vertical comparison of regional economic differences, the GDP indicators cannot fully and completely reflect the socio-economic development level of a region. Therefore, the multivariate statistical analysis method can be used to analyze the construction status of Heilongjiang Province (Wang and Zhao, 2018), which can reflect the real degree of its construction relatively completely and comprehensively.

Paper Citation

in Harvard Style

Wang S. and Wang H. (2022). Research on the Urban Construction Status of Prefecture-Level Cities in Heilongjiang Province Based on SPSS Analysis. In Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA; ISBN 978-989-758-658-3, SciTePress, pages 142-146. DOI: 10.5220/0012071200003624

in Bibtex Style

@conference{pmbda22,
author={Shuguang Wang and Haoyan Wang},
title={Research on the Urban Construction Status of Prefecture-Level Cities in Heilongjiang Province Based on SPSS Analysis},
booktitle={Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA},
year={2022},
pages={142-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012071200003624},
isbn={978-989-758-658-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA
TI - Research on the Urban Construction Status of Prefecture-Level Cities in Heilongjiang Province Based on SPSS Analysis
SN - 978-989-758-658-3
AU - Wang S.
AU - Wang H.
PY - 2022
SP - 142
EP - 146
DO - 10.5220/0012071200003624
PB - SciTePress