A research on measuring the development level of agriculture and tourism in Anhui Province based on multivariate statistical analysis

Zebin Liu; Lei Shen; Wei Xiang; Yi Zhou

doi:10.1117/12.2627485

22 April 2022 A research on measuring the development level of agriculture and tourism in Anhui Province based on multivariate statistical analysis

Zebin Liu, Lei Shen, Wei Xiang, Yi Zhou

Author Affiliations +

Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 1216305 (2022) https://doi.org/10.1117/12.2627485
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China

Abstract

In the context of upgrading the agricultural industry and sustained economic growth, agriculture and tourism have become significant pillars of regional economic development. In order to quantitively measure the development level of agriculture and tourism for 16 prefecture-level municipalities in Anhui province, this paper firstly generates the comprehensive index of the development level of agriculture and tourism for these cities by using the factor analysis. Based on the empirical results of factor analysis, these cities can be divided into three categories in terms of the comprehensive index: top-level, medium-level and low level. Hefei has the highest comprehensive index, and Tongling has the lowest comprehensive index. Overall, the development of agriculture and tourism for Anhui province is unbalanced, in which there are certain development gaps between these cities.

Citation Download Citation

Zebin Liu, Lei Shen, Wei Xiang, and Yi Zhou "A research on measuring the development level of agriculture and tourism in Anhui Province based on multivariate statistical analysis", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 1216305 (22 April 2022); https://doi.org/10.1117/12.2627485

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available