Analysis of the Coupling Coordination Effect of Agricultural Innovation and Agricultural Economic Development in Heilongjiang Province Under the SPSS Method

Shuguang Wang, Tongyu Wei

2022

Abstract

According to the data on agricultural innovation and agricultural economic development of 12 prefecture-level cities in Heilongjiang Province, SPSS software was used to conduct coupled and coordinated analysis of the two based on computer systems. The research results showed that the associated coordinated development level of agricultural innovation and agricultural economic development in Heilongjiang Province was low, which was related to the government’s insufficient investment in agriculture and its creation, so it put forward basic suggestions for increasing agricultural investment and improving the innovation ability of talents.

Paper Citation

in Harvard Style

Wang S. and Wei T. (2022). Analysis of the Coupling Coordination Effect of Agricultural Innovation and Agricultural Economic Development in Heilongjiang Province Under the SPSS Method. 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 205-210. DOI: 10.5220/0012072100003624

in Bibtex Style

@conference{pmbda22,
author={Shuguang Wang and Tongyu Wei},
title={Analysis of the Coupling Coordination Effect of Agricultural Innovation and Agricultural Economic Development in Heilongjiang Province Under the SPSS Method},
booktitle={Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA},
year={2022},
pages={205-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012072100003624},
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 - Analysis of the Coupling Coordination Effect of Agricultural Innovation and Agricultural Economic Development in Heilongjiang Province Under the SPSS Method
SN - 978-989-758-658-3
AU - Wang S.
AU - Wei T.
PY - 2022
SP - 205
EP - 210
DO - 10.5220/0012072100003624
PB - SciTePress