[1]冯 婧,杨兴柱*,王 群.皖南山区旅游效率与生态福利绩效耦合协调时空格局演变及影响因素[J].山地学报,2022,(4):597-613.[doi:10.16089/j.cnki.1008-2786.000696]
 FENG Jing,YANG Xingzhu*,WANG Qun.Spatial-Temporal Pattern Evolution and Influencing Factors of Coupling Coordination between Tourism Efficiency and Ecological Well-Being Performance in the Mountainous Area of Southern Anhui Province, China[J].Mountain Research,2022,(4):597-613.[doi:10.16089/j.cnki.1008-2786.000696]
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皖南山区旅游效率与生态福利绩效耦合协调时空格局演变及影响因素
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2022年第4期
页码:
597-613
栏目:
山区发展
出版日期:
2022-09-15

文章信息/Info

Title:
Spatial-Temporal Pattern Evolution and Influencing Factors of Coupling Coordination between Tourism Efficiency and Ecological Well-Being Performance in the Mountainous Area of Southern Anhui Province, China
文章编号:
1008-2786-(2022)4-597-17
作者:
冯 婧杨兴柱*王 群
安徽师范大学 地理与旅游学院,安徽 芜湖 241002
Author(s):
FENG Jing YANG Xingzhu* WANG Qun
School of Geography and Tourism, Anhui Normal University, Wuhu 241002, Anhui,China
关键词:
旅游效率 生态福利绩效 超效率模型 耦合协调 皖南山区
Keywords:
tourism efficiency ecological well-being performance Super-Efficiency model coupling coordination mountainous area in southern Anhui province
分类号:
K901
DOI:
10.16089/j.cnki.1008-2786.000696
文献标志码:
A
摘要:
山区旅游效率和生态福利绩效的研究,是山区旅游地生态文明建设和可持续发展的重要基础。当前针对县域等较小尺度地域单元生态福利绩效的研究较少,且缺乏对旅游效率与生态福利绩效耦合协调关系的研究,不利于区域人类福利水平的提升。本文基于一般系统论构建了旅游效率与生态福利绩效耦合协调机理理论框架。以皖南山区18个县(市、区)为研究对象,采用Super-SBM模型,测度2007—2019年皖南山区18个县域单元的旅游效率和生态福利绩效,检验两者之间互动关系,构建耦合协调度模型。综合使用泰尔指数、空间自相关模型和面板Tobit模型等方法,分析两者耦合协调时空格局演变特征和影响因素。结果如下:(1)皖南山区旅游效率波动上升,2019年高效率县域数量达到总数的50%且集中分布在池州市和黄山市; 生态福利绩效由低效率等级变为较高效率等级,其空间格局由南北分异变为自西南向东北递减。(2)旅游效率与生态福利绩效的耦合协调度由初级协调缓慢提高到中级协调,其空间格局经历了“圈层递减—东西高南北低—自西南向东北递减”的变化过程。(3)耦合协调度的区域差异变动大,绝大多数年份市间差异和市内差异对总体差异的贡献度相差不大,三个地级市耦合协调度市内差异及其对总体差异的贡献率也均表现出明显的波动; 此外,耦合协调度在全局和局部空间上均存在集聚现象。(4)旅游经济发展水平、城市化水平、产业高级化、消费水平和绿化水平的提高均会促进耦合协调水平的提升,而人口密度的提高则会对耦合协调发展产生抑制作用。本研究可以为皖南山区社会-经济-自然系统和旅游业系统的良性互动提供参考。
Abstract:
A clear understanding of tourism efficiency and ecological well-being performance(EWP)can build a scientific foundation for ecological civilization and sustainable development of mountainous tourist destinations. Unfortunately, little attention was paid to the exploration of EWP in counties and other smaller geographical units and the coupling coordination relationship between tourism efficiency and EWP. In this study, based on general system theory(GST), a theoretical framework of coupling coordination mechanism between tourism efficiency and EWP was created. 18 counties(cities and districts)in the mountainous area of southern Anhui province was targeted as case study, and Super-SBM model was used to calculate tourism efficiency and EWP from 2007 to 2019. The relationship between the two factors was also tested, following which a coupling coordination degree(CCD)model was established. Furthermore, this paper analyzed the evolution characteristics of the spatial-temporal pattern and influencing factors of coupling coordination relationship between tourism efficiency and EWP by adopting the Theil index, spatial auto-correlation model, and panel Tobit model. The conclusions are as follows:(1)Tourism efficiency in the mountainous area of southern Anhui province displayed a fluctuating but generally rising trend. In 2019, half of the 18 counties boasted high tourism efficiency, and such counties were concentrated in Chizhou city and Huangshan city. In terms of EWP, it showed a pronounced increase, and the efficiency of transforming natural consumption into welfare decreased from southwest to northeast, instead of featuring the previous character of a distinct difference between south and north.(2)CCD between the two rose slowly from primary coordination to intermediate coordination. Spatially, the CCD went through three stages: declining from the inner circle to the outer circle, being high in the eastern and western regions and low in the northern and southern regions, and declining from southwest to northeast.(3)There was a large variation of the regional difference in CCD. In most years, the contribution rate of inter-city disparity and intra-city disparity to the total disparity differed very little. The intra-city CCD disparities of the three prefecture-level cities and their contribution rate to the total disparity showed obvious fluctuations. Besides, CCD was spatially clustered, both globally and locally.(4)Tourism economic development, urbanization, industrial structure upgrading, and the improvement of consumption capacity and afforestation improved CCD, whereas the increase in population density curbed the coupling coordination development. This paper can provide scientific information for the positive interaction between social-economic-natural complex ecosystem and tourism system in the mountainous area of southern Anhui province.

参考文献/References:

[1] 何林, 陈欣. 基于生态福利的陕西省经济可持续发展研究[J]. 开发研究,2011,27(6):24-28.[HE Lin, CHEN Xin. Research on sustainable economic development of Shanxi province based on ecological well-being [J]. Research on Development, 2011, 27(6): 24-28] DOI: 10.13483/j.cnki.kfyj.2011.06.011
[2] 诸大建,张帅. 生态福利绩效及其与经济增长的关系研究[J]. 中国人口·资源与环境,2014,24(9):59-67.[ZHU Dajian, ZHANG Shuai. Research on ecological wellbeing performance and its relationship with economic growth [J]. China Population, Resources and Environment, 2014, 24(9): 59-67] DOI: 10.3969/j.issn.1002-2104.2014.09.009
[3] KNIGHT K W, ROSA E A. The environmental efficiency of well-being: A cross-national analysis [J]. Social Science Research, 2011, 40(3): 931-949. DOI: 10.1016/j.ssresearch.2010.11.002
[4] 刘娜,程钰,韩政. 中国生态福利绩效时空演变与影响因素[J]. 济南大学学报(自然科学版),2021,35(5):462-472.[LIU Na, CHENG Yu, HAN Zheng. Spatial-temporal evolution and influencing factors of ecological well-being performance in China [J]. Journal of University of Jinan(Science and Technology), 2021, 35(5): 462-472] DOI: 10.13349/j.cnki.jdxbn.20210312.001
[5] 曹乃刚,赵林. 山东省生态福利绩效的时空格局与影响因素分析[J]. 资源开发与市场,2021,37(7):787-792+819.[CAO Naigang, ZHAO Lin. Analysis of the spatial-temporal pattern and influencing factors of ecological welfare performance in Shandong province [J]. Resource Development and Market, 2021, 37(7): 787-792+819] DOI: 10.3969/j.issn.1005-8141.2021.07.004
[6] 王喜平,罗金芳. 京津冀生态福利绩效及时空演变研究[J]. 科技管理研究,2020,40(21):249-255.[WANG Xiping, LUO Jinfang. Study on ecological welfare performance and spatio-temporal evolution of Beijing-Tianjin-Hebei region [J]. Science and Technology Management Research, 2020, 40(21): 249-255] DOI: 10.3969/j.issn.1000-7695.2020.21.032
[7] 陆保一,明庆忠. 旅游发展效率与强度的时空耦合演变研究——以云南省为例[J]. 生态经济,2019,35(1):131-136+166.[LU Baoyi, MING Qingzhong. Spatio-temporal coupling evolution of tourism development efficiency and tourism development intensity: A case study of Yunnan province [J]. Ecological Economy, 2019, 35(1): 131-136+166]
[8] 方世敏,黄琰. 长江经济带旅游效率与规模的时空演化及耦合协调[J]. 地理学报,2020,75(8):1757-1772.[FANG Shimin, HUANG Yan. Spatio-temporal evolutions and coordination of tourism efficiency and scale in the Yangtze River Economic Belt [J]. Acta Geographica Sinica, 2020, 75(8): 1757-1772] DOI: 10.11821/dlxb202008014
[9] 朱林芳,周燕,马慧强. 中国省域旅游公共服务与旅游效率耦合协调分析[J]. 经济问题,2020(11):95-102.[ZHU Linfang, ZHOU Yan, MA Huiqiang. An analysis of the coupling and coordination between public service and tourism efficiency in Chinese provinces [J]. On Economic Problems, 2020(11): 95-102] DOI: 10.16011/j.cnki.jjwt.2020.11.012
[10] 肖黎明,张仙鹏. 强可持续理念下绿色创新效率与生态福利绩效耦合协调的时空特征[J]. 自然资源学报,2019,34(2): 312-324.[XIAO Liming, ZHANG Xianpeng. Spatio-temporal characteristics of coupling coordination between green innovation efficiency and ecological welfare performance under the concept of strong sustainability [J]. Journal of Natural Resources, 2019, 34(2): 312-324] DOI: 10.31497/zrzyxb.20190208
[11] 徐维祥,徐志雄,刘程军. 黄河流域地级城市土地集约利用效率与生态福利绩效的耦合性分析[J]. 自然资源学报,2021, 36(1):114-130.[XU Weixiang, XU Zhixiong, LIU Chengjun. Coupling analysis of land intensive use efficiency and ecological well-being performance of cities in the Yellow River Basin [J]. Journal of Natural Resources, 2021, 36(1): 114-130] DOI: 10.31497/zrzyxb.20210108
[12] 许信旺,朱诚. 皖南山区山地生态系统经济价值损失估算方法[J]. 山地学报,2004,22(6):735-741.[XU Xinwang, ZHU Cheng. Estimation methods of the economical loss of ecological destruction in mountainous regions of south Anhui [J]. Mountain Research, 2004, 22(6): 735-741] DOI: 10.3969/j.issn.1008-2786.2004.06.017
[13] 杨兴柱,王群. 皖南旅游区乡村人居环境质量评价及影响分析[J]. 地理学报,2013,68(6):851-867.[YANG Xingzhu, WANG Qun. Evaluation of rural human settlement quality difference and its driving factors in tourism area of southern Anhui province [J]. Acta Geographica Sinica, 2013, 68(6): 851-867]
[14] 高杨,王朝辉,耿慧,等. 精准扶贫背景下贫困山区旅游扶贫效率研究——以安徽皖南山区18个县(区、市)为例[J]. 安徽农业大学学报(社会科学版),2019,28(2):22-30.[GAO Yang, WANG Chaohui, GENG Hui, et al. A study of the efficiency of poverty alleviation through tourism in poor mountainous areas under the background of targeted poverty alleviation: Taking 18 counties(districts and county-level cities)of southern Anhui mountainous areas as an example [J]. Journal of Anhui Agricultural University(Social Sciences Edition), 2019, 28(2): 22-30] DOI: 10.19747/j.cnki.1009-2463.2019.02.004
[15] 马晓龙. 国内外旅游效率研究进展与趋势综述[J]. 人文地理,2012,27(3):11-17.[MA Xiaolong. Progress and trend of tourism efficiency research home and abroad [J]. Human Geography, 2012, 27(3): 11-17] DOI: 10.13959/j.issn.1003-2398.2012.03.010
[16] 诸大建,张帅. 生态福利绩效与深化可持续发展的研究[J]. 同济大学学报(社会科学版),2014,25(5):106-115.[ZHU Dajian, ZHANG Shuai. Ecological wellbeing performance and further research on sustainable development [J]. Tongji University Journal Social Science Section, 2014, 25(5): 106-115] DOI: 10.3969/j.issn.1009-3060.2014.05.014
[17] 胡美娟. 综合福利视角下城市生态福利绩效演化过程、机制与路径优化[D]. 南京:南京师范大学,2020:13-18.[HU Meijuan. Evolution process, mechanism and path optimization of urban ecological welfare performance from the perspective of comprehensive welfare [D]. Nanjing: Nanjing Normal University, 2020: 13-18] DOI: 10.27245/d.cnki.gnjsu.2020.002557
[18] COSTANZA R, D'ARGE R, DE GROOT R, et al. The value of the world's ecosystem services and natural capital [J]. Nature, 1997, 387: 253-260. DOI: 10.1038/387253a0
[19] DALY H E. Beyond growth: The economics of sustainable development [M]. Boston: Beacon Press, 1996.
[20] 朱顺顺,章锦河,胡欢,等. 旅游发展的生态系统服务价值增值效应研究[J]. 长江流域资源与环境,2019,28(3): 603-613.[ZHU Shunshun, ZHANG Jinhe, HU Huan, et al. Study on the value-added effect of ecosystem service values in tourism development [J]. Resources and Environment in the Yangtze Basin, 2019, 28(3): 603-613] DOI: 10.11870/cjlyzyyhj201903011
[21] 鲁延召,王宁. 旅游产业与社会发展耦合协调研究[J]. 资源开发与市场,2019,35(6):855-860.[LU Yanzhao, WANG Ning. Study on coupling and coordination between tourism industry and social development [J]. Resource Development and Market, 2019, 35(6): 855-860] DOI: 10.3969/j.issn.1005-8141.2019.06.018
[22] CHARNES A, COOPER W W, RHODES E. Measuring the efficiency of decision making units [J]. European Journal of Operational Research, 1978, 2(6): 429-444. DOI: 10.1016/0377-2217(78)90138-8
[23] TONE K. A slacks-based measure of super-efficiency in data envelopment analysis [J]. European Journal of Operational Research, 2002, 143(1): 32-41. DOI: 10.1016/S0377-2217(01)00324-1
[24] 龙亮军,王霞,郭兵. 基于改进DEA模型的城市生态福利绩效评价研究——以我国35个大中城市为例[J]. 自然资源学报, 2017,32(4):595-605.[LONG Liangjun, WANG Xia, GUO Bing. Evaluation of urban ecological well-being performance based on revised DEA model: A case study of 35 major cities in China [J]. Journal of Natural Resources, 2017, 32(4): 595-605] DOI: 10.11849/zrzyxb.20160515
[25] 龙亮军,王霞. 上海市生态福利绩效评价研究[J]. 中国人口·资源与环境,2017,27(2):84-92.[LONG Liangjun, WANG Xia. A study on Shanghai's ecological well-being performance [J]. China Population, Resources and Environment, 2017, 27(2): 84-92] DOI: 10.3969/j.issn.1002-2104.2017.02.013
[26] 张海朋,何仁伟,李立娜,等. 环首都地区城乡融合水平时空分异及乡村振兴路径[J]. 自然资源学报,2021,36(10): 2652-2671.[ZHANG Haipeng, HE Renwei, LI Lina, et al. Spatio-temporal differentiation of urban-rural integration level and rural revitalization path in the Capital Region [J]. Journal of Natural Resources, 2021, 36(10): 2652-2671] DOI: 10.31497/zrzyxb.20211014
[27] 盖美,秦冰,郑秀霞. 经济增长动能转换与绿色发展耦合协调的时空格局演化分析[J]. 地理研究,2021,40(9):2572-2590. [GAI Mei, QIN Bing, ZHENG Xiuxia. The evolution of the spatiotemporal pattern of the coupling and coordination between economic growth kinetic energy conversion and green development [J]. Geographical Research, 2021, 40(9): 2572-2590] DOI: 10.11821/dlyj020200702
[28] 董会忠,韩沅刚. 长江经济带城市群环境规制效率时空演变及影响因素[J]. 长江流域资源与环境,2021,30(9):2049-2060.[DONG Huizhong, HAN Yuangang. Spatial-temporal evolution and influencing factors of environmental regulation efficiency of urban agglomerations in the Yangtze River Economic Belt [J]. Resources and Environment in the Yangtze Basin, 2021, 30(9): 2049-2060] DOI: 10.11870/cjlyzyyhj202109001
[29] 胡美娟,李在军,丁正山,等. 基于三维福利的城市生态福利强度及驱动模式——以长三角地区为例[J]. 自然资源学报, 2021,36(2):327-341.[HU Meijuan, LI Zaijun, DING Zhengshan, et al. Urban ecological well-being intensity and driving mode based on three-dimensional well-being: Taking the Yangtze Delta as an example [J]. Journal of Natural Resources, 2021, 36(2): 327-341] DOI: 10.31497/zrzyxb.20210205
[30] 王坤,黄震方,曹芳东,等. 泛长江三角洲城市旅游绩效空间格局演变及其影响因素[J]. 自然资源学报,2016,31(7): 1149-1163.[WANG Kun, HUANG Zhenfang, CAO Fangdong, et al. Spatial pattern evolution of urban tourism performance and its influence factors in Pan-Yangtze River Delta [J]. Journal of Natural Resources, 2016, 31(7): 1149-1163] DOI: 10.11849/zrzyxb.20150767
[31] 曹炳汝,孙巧. 产业集聚与城镇空间格局的耦合关系及时空演化——以长三角区域为例[J]. 地理研究,2019,38(12): 3055-3070.[CAO Bingru, SUN Qiao. Research on the coupling relationship and spatial-temporal evolution between industrial agglomeration and urban spatial pattern: A case study of the Yangtze River Delta [J]. Geographical Research, 2019, 38(12): 3055-3070] DOI: 10.11821/dlyj020180985

备注/Memo

备注/Memo:
收稿日期(Received date):2022-03-17; 改回日期(Accepted date):2022-08-22
基金项目(Foundation item):国家自然科学基金(41971175,42171239)。[National Natural Science Foundation of China(41971175,42171239)]
作者简介(Biography):冯婧(1997-),女,山西吕梁人,硕士研究生,主要研究方向:旅游地理。[FENG Jing(1997-), female, born in Lvliang, Shanxi province, M. Sc. candidate, research on tourism geography] E-mail: fjrwdl@163.com
*通讯作者(Corresponding author):杨兴柱(1976-),男,安徽六安人,博士,教授,主要研究方向:旅游地理与旅游规划。 [YANG Xingzhu(1976-), male, born in Luan, Anhui province, Ph.D., professor, research on tourism geography and tourism planning] E-mail: yxzlv@163.com
更新日期/Last Update: 2022-08-30