全民健身与绿色生态协调发展的时空特征与空间集聚——基于省级数据(2011-2015)的协调度研究
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摘要
为了推动绿色运动空间理念的实施,实现全民健身与绿色生态的融合发展,运用熵权评价、协调度模型(D指数)、Moran’sⅠ指数及Markov链为主要分析手段,测评了31个省份(自治区、直辖市)全民健身发展水平与绿色生态协调发展的时空特征、集聚效应和演进模式(2011-2015年)。结果表明:(1)全民健身服务与绿色生态协调发展度主要呈现四种协调类型低级协调(Ⅰ)、勉强协调(Ⅱ)、初级协调(Ⅲ)和中级协调(Ⅳ);(2)各年度全民健身服务与绿色生态的协调发展呈现波浪形演化特征,不同省份间的协调度差距非常大(D=0.05～0.80),且三大地区(东部、中部和西部)间和地区内均存在显著性差异(P﹤0.05);(3)我国全民健身服务与绿色生态的空间协调存在一定的局部空间相关性,但空间高集聚效应还不明显(H-H类型仅4个省份)。结论:(1)全民健身发展与绿色生态未能呈现出协调发展的态势,绿色运动空间在省际范围内还未形成强联动区域;(2)加强绿色运动空间建设,尤其是城市层面的绿色运动空间,是不断扩大自主参与锻炼人群的重要途径;(3)城市绿地与健身设施布局的匹配规划可能是转变演进模式的重要举措。
In order to promote the implementation of the concept of green sports space construction and realize the coordinated development of national fitness and green ecology, this article analyzes through entropy weight evaluation, coordination degree model(D index), Moran's Ⅰ index and Markov chain the temporal-spatial characteristics, agglomeration effects and evolution mode of coordinated development of national fitness and green ecology in 31 provinces(2011-2015). The results show that(1) the coordination degree of national fitness service and green ecology presents four types: low-level coordination(Ⅰ), barely qualified coordination(Ⅱ), primary coordination(Ⅲ) and intermediate coordination(Ⅳ);(2) the coordination degree of national fitness service and green ecology evolved in a wave shape over the years with significant differences between different provinces(D=0.05 ～ 0.80) and significant differences between the western, central and eastern regions(p<0.05);(3) there is a regional spatial correlation in spatial coordination of national fitness service and green ecology, while the spatial agglomeration effect is not significant(only 4 provinces reach the H-H type). Conclusion:(1) national fitness and green ecology in China don't present coordinated development trend and green sports spaces in provinces have no strong link so far;(2) strengthening the construction of green sports space, especially that of green sports space in urban areas is an important way to expand people's participation;(3) planning urban green space and installing fitness facilities are an important measure to transform the evolution mode of national fitness and green ecology.
In order to promote the implementation of the concept of green sports space construction and realize the coordinated development of national fitness and green ecology, this article analyzes through entropy weight evaluation, coordination degree model(D index), Moran's Ⅰ index and Markov chain the temporal-spatial characteristics, agglomeration effects and evolution mode of coordinated development of national fitness and green ecology in 31 provinces(2011-2015). The results show that(1) the coordination degree of national fitness service and green ecology presents four types: low-level coordination(Ⅰ), barely qualified coordination(Ⅱ), primary coordination(Ⅲ) and intermediate coordination(Ⅳ);(2) the coordination degree of national fitness service and green ecology evolved in a wave shape over the years with significant differences between different provinces(D=0.05 ～ 0.80) and significant differences between the western, central and eastern regions(p<0.05);(3) there is a regional spatial correlation in spatial coordination of national fitness service and green ecology, while the spatial agglomeration effect is not significant(only 4 provinces reach the H-H type). Conclusion:(1) national fitness and green ecology in China don't present coordinated development trend and green sports spaces in provinces have no strong link so far;(2) strengthening the construction of green sports space, especially that of green sports space in urban areas is an important way to expand people's participation;(3) planning urban green space and installing fitness facilities are an important measure to transform the evolution mode of national fitness and green ecology.
引文
[1] ENJOLRAS,WALDAHL.Policy-making in sport:the Norwegian case [J].International Review for the Sociology of Sport,2007,42(2):201-216.
[2] DAVID S,LAN O,LESLEY F.Toward a research agenda in collaborative sport governace[J].Sport Management Review,2017,19(5):479-491.
[3] 蔡玉军,邵斌.问题与策略:我国城市全民健身空间集约化发展模式研究 [J].天津体育学院学报,2015,30(6):467-473.
[4] 金银日,姚颂平,刘东宁.基于GIS的上海市公共体育设施空间可达性与公平性评价[J].上海体育学院学报,2017,41(3):42-47.
[5] 郇昌店,肖伟,郭修金.农民体育健身工程的运行逻辑、项目不足与完善思路[J].天津体育学院学报,2015,30(1):23-28.
[6] 何金廖,张修枫,陈剑峰.体育与城市:德国城市绿色空间与大众体育综合发展策略[J].国际城市规划,2017,32(5):44-48.
[7] 国务院.全民健身计划(2011-2015)[EB/OL].[2011-2-1].http://www.sport.gov.cn.
[8] 武珊珊,任建兰,刘树峰.快速城市化时期山东省城镇化与绿色生态协调发展时空比较研究[J].鲁东大学学报,2014,30(1):58-63.
[9] 翁钢民,李凌雁.基于空间统计分析的我国旅游业与绿色生态协调发展研究[J].生态经济,2015,31(10):89-93.
[10] MICHAEL J,SMITH,MICHAEL F,et al.地理空间分析[M].北京:电子工业出版社,2009:174-188.
[11] WEI S,ZHANG J,CHEN J.Study on construction land distribution in Fujian and Taiwan provinces based on spatial autocorrelation analysis[J].Progress in Geography,2007,26(3):11-17.
[12] 王春菊,汤小华.基于GIS的福建省人口统计数据空间化[J].地理与地理信息科学,2004,20(4):71-74.
[13] 刘华军,鲍振,杨骞.中国二氧化碳排放的分布动态与研究趋势[J].资源科学,2013,35(10):1925-1932.
[14] 黎立博,邬文兵,张明余.基于Markov过程的人员规模与结构预测模型及实证研究[J].中国软科学,2016(6):143-153.
[15] 黄飞飞,张小林,余华,等.基于空间自相关的江苏省县域经济实力空间差异研究[J].人文地理,2009,24(2):84-89.
[16] LIAO F H,WEI Y D.Space,scale,and regional inequality in pro-vincial china:a spatial filtering approach[J].Applied Geography,2015,61:94-104.
[17] 方文婷,滕堂伟,陈志强.福建省县域经济差异的时空格局演化分析[J].人文地理,2017,32(2):103-110.
[2] DAVID S,LAN O,LESLEY F.Toward a research agenda in collaborative sport governace[J].Sport Management Review,2017,19(5):479-491.
[3] 蔡玉军,邵斌.问题与策略:我国城市全民健身空间集约化发展模式研究 [J].天津体育学院学报,2015,30(6):467-473.
[4] 金银日,姚颂平,刘东宁.基于GIS的上海市公共体育设施空间可达性与公平性评价[J].上海体育学院学报,2017,41(3):42-47.
[5] 郇昌店,肖伟,郭修金.农民体育健身工程的运行逻辑、项目不足与完善思路[J].天津体育学院学报,2015,30(1):23-28.
[6] 何金廖,张修枫,陈剑峰.体育与城市:德国城市绿色空间与大众体育综合发展策略[J].国际城市规划,2017,32(5):44-48.
[7] 国务院.全民健身计划(2011-2015)[EB/OL].[2011-2-1].http://www.sport.gov.cn.
[8] 武珊珊,任建兰,刘树峰.快速城市化时期山东省城镇化与绿色生态协调发展时空比较研究[J].鲁东大学学报,2014,30(1):58-63.
[9] 翁钢民,李凌雁.基于空间统计分析的我国旅游业与绿色生态协调发展研究[J].生态经济,2015,31(10):89-93.
[10] MICHAEL J,SMITH,MICHAEL F,et al.地理空间分析[M].北京:电子工业出版社,2009:174-188.
[11] WEI S,ZHANG J,CHEN J.Study on construction land distribution in Fujian and Taiwan provinces based on spatial autocorrelation analysis[J].Progress in Geography,2007,26(3):11-17.
[12] 王春菊,汤小华.基于GIS的福建省人口统计数据空间化[J].地理与地理信息科学,2004,20(4):71-74.
[13] 刘华军,鲍振,杨骞.中国二氧化碳排放的分布动态与研究趋势[J].资源科学,2013,35(10):1925-1932.
[14] 黎立博,邬文兵,张明余.基于Markov过程的人员规模与结构预测模型及实证研究[J].中国软科学,2016(6):143-153.
[15] 黄飞飞,张小林,余华,等.基于空间自相关的江苏省县域经济实力空间差异研究[J].人文地理,2009,24(2):84-89.
[16] LIAO F H,WEI Y D.Space,scale,and regional inequality in pro-vincial china:a spatial filtering approach[J].Applied Geography,2015,61:94-104.
[17] 方文婷,滕堂伟,陈志强.福建省县域经济差异的时空格局演化分析[J].人文地理,2017,32(2):103-110.
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