文章摘要
福建省农旅产业融合效应时空演化及影响因素分析——基于“三生”功能理论
Analysis of spatial-temporal evolution of and factors influencing the integration of the agricultural and tourism industries in Fujian Province:Based on the production-living-ecological function theory
投稿时间:2022-06-16  修订日期:2022-08-22
DOI:10.13254/j.jare.2022.0377
中文关键词: 农旅产业融合,耦合协调度模型,空间分析,福建省,“三生”功能理论
英文关键词: integration of the agricultural and tourism industries, coupling harmonious degree model, spatial analysis, Fujian Province, production-living-ecological function theory
基金项目:国家社会科学基金一般项目(21BGL148);福建省创新战略研究计划项目(2021R0039);福建省财政厅委托项目(KLE21002A);福建农林大学科技创新专项基金项目(CXZX2019047)
作者单位E-mail
马永强 福建农林大学安溪茶学院, 福建 泉州 362400
福建省茶产业发展研究中心, 福州 350000 
 
许玉燕 福建农林大学安溪茶学院, 福建 泉州 362400
福建省茶产业发展研究中心, 福州 350000 
 
谢静欣 福建农林大学安溪茶学院, 福建 泉州 362400
福建省茶产业发展研究中心, 福州 350000 
 
陈佑成 福建农林大学安溪茶学院, 福建 泉州 362400
福建省茶产业发展研究中心, 福州 350000 
46649150@qq.com 
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中文摘要:
      农旅产业融合是实现农业产业转型升级、促进农村产业振兴的重要渠道。新发展理念背景下,福建生态建设走在全国前列,在生态建设与经济社会协同发展方面具有一定的代表性和典型性,本研究选取2009—2019年福建省相关统计年鉴数据,依据“三生”理论采用组合赋权法构建农旅产业融合评价指标体系,运用ArcGIS、Geoda和STATA软件从时空角度分析农旅产业耦合发展水平、空间相关及空间聚集特征并探讨影响农旅产业耦合的因素及影响机制。结果表明:福建省农旅耦合协调度总体曲折向好发展,实现“轻度失调-濒临失调-勉强协调-初级协调-中级协调-良好协调”的六级逐步跨越;福建省各地级市农旅产业融合效应存在局部空间自相关,局部空间莫兰指数呈现“W”形的波动变化,聚集类型由低-低聚集向低-高聚集再向高-高聚集后呈高-低聚集变化,最后再进入低-低状态,开始新一轮循环;从影响农旅产业融合效应的因素来看,资源供给、人才要素、科学技术、政府支持、产业带动、生活水平及需求升级均对农旅产业融合存在显著影响。研究表明,在推动农旅产业融合过程中,可以通过平衡好农旅产业协调、重视现代化农业建设,统筹好农旅空间规划、促进要素资源相融合和发挥好农旅融合机制、加强内外部正向因素等措施来加以推进。
英文摘要:
      The integration of the agricultural and tourism industries is important for transforming and improving the agricultural industry and the revitalizing the rural economy. In terms of innovative development, Fujian leads the country in ecological construction, and it has a certain representativeness in ecological construction and coordinated economic and social development. In this paper, the relevant statistical yearbook data of Fujian Province from 2009 to 2019 were selected. Based on the production-living-ecological function theory, this paper adopted the combination weighting method to construct the evaluation index system for integrating agriculture and tourism, and ArcGIS, Geoda, and STATA were used to analyze the coupling development level, spatial correlation, and spatial aggregation characteristics of the agricultural tourism industry spatiotemporally as well as explore the coupling factors and influencing mechanisms of the agricultural and tourism industries. The results showed that the overall coordination degree of agriculture–tourism coupling had a positive impact on development in a zigzag direction and gradually followed the six levels of mildly dissonance-nearly dissonance-barely coordinated-slightly coordinated-intermediately coordinated-well coordinated. The integration effect of the agricultural and tourism industries of prefecture-level cities in Fujian Province exists local spatial autocorrelation, and the local space Moran index shows a“W” shape fluctuation change. In addition, the aggregation type changed from a low-low to low-high aggregation, then to a high-high aggregation, and finally to the low-low state, after which a new cycle began. In terms of factors affecting the integration of the agricultural and tourism industries, resources supply, talent factors, science and technology, government support, industry drive, living standards, and demand upgrades all have significant impacts on the integration of the agricultural and tourism industries. During the process of promoting the integration of the agricultural tourism industry, through balancing the coordination of the agricultural and tourism industries, paying attention to the construction of modern agriculture, and properly coordinating the spatial planning of agriculture and tourism, the integration of element resources can be promoted and the integration mechanism of agricultural tourism can well coordinated, thereby strengthening internal and external positive factors and allowing for the implementation of appropriate measures.
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