Research Article | OPEN ACCESS
Analysis of Factors Influencing the Satisfaction Degree of Leisure Agricultural Parks Management Based on Binary Logistic Model
1Yichuan Zhang and 2Jie Zhao
1School of Horticulture and Landscape Architecture, Henan Institute of
Science and Technology, Xinxiang 453003, China
2Department of Architecture, Henan Technical College of Construction, Zhengzhou 450002, China
Advance Journal of Food Science and Technology 2013 3:285-288
Received: November 08, 2012 | Accepted: December 21, 2012 | Published: March 15, 2013
Abstract
Degree of satisfaction, which plays an important role in management optimization of agricultural parks, is a major index that reflects the management level of a leisure agricultural park. Fenglekui Park, which is located in Zhengzhou city, Henan province, China, was the research object of this study. The study collected the data concerning the satisfaction degree of 978 tourists through a survey and set up the binary logistic regression model of management satisfaction and influential factors. These influential factors mainly covered four aspects: characteristics of tourists, external conditions, landscape quality and service quality. The results showed that the target tourist groups of the agricultural park should be selective and it is very important to strengthen the propaganda targeted at urban tourist groups and highly educated visitors, because this will help modify the structure of tourists and increase the revenue. The factors influencing the degree of satisfaction with park management which are arranged in a decreasing order of significance are: price level, agricultural landscape, agricultural culture, external ecological environment, service concept, infrastructures, amenities and products offered. The degree of satisfaction with park management can be enhanced effectively by improving the factors. In this study, the relationship between the satisfaction with leisure agricultural park management and influential factors was analyzed by setting up the Binary logistic regression model, which can provide a basis for management optimization of leisure agricultural parks.
Keywords:
Binary logistic regression, leisure agricultural park, management, satisfaction degree,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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