Tourism industry has already become an important part of national economy,which not only played a positive role in the development of the economy,but promoted the adjustment and optimization of industrial structure.Th...Tourism industry has already become an important part of national economy,which not only played a positive role in the development of the economy,but promoted the adjustment and optimization of industrial structure.The paper analyzes the correlation between the tourism industry and the other industry through changes of the Xingwen County tourism industrial output value in the past seven years.With the Gray Model,the correlation degree among the tourism industry and agriculture,industry,transport,wholesale and retail trade,postal and telecommunications industries is measured.The analysis result indicates that the order of the corresponding correlation degree:catering accommodation is 0.691> wholesale and retail is 0.617 > agriculture is 0.616 > Postal and telecommunications industry is 0.610> Transport is 0.602> Industry is 0.537.In accordance with the actual conditions of the industry in Xingwen,the industrial development policies and measures are put forward,which help the tourism industry Xingwen their rapid,coordinated and highly efficient operation.展开更多
随着数字经济的快速发展,数字贸易已成为影响经济发展的重要力量。在数字经济背景下探讨数字贸易内涵,从信息网络基础设施、数字技术水平、产业数字化贸易、数字产业化贸易和贸易潜力5个维度构建数字贸易发展评价指标体系,运用相对熵的T...随着数字经济的快速发展,数字贸易已成为影响经济发展的重要力量。在数字经济背景下探讨数字贸易内涵,从信息网络基础设施、数字技术水平、产业数字化贸易、数字产业化贸易和贸易潜力5个维度构建数字贸易发展评价指标体系,运用相对熵的TOPSIS(technique for order preference by similarity to an ideal solution)法对浙江省2010—2018年数字贸易发展水平进行测度。结果表明:2010-2018年浙江省数字贸易发展总体呈上升趋势;进一步基于TOE(technology-organization-environment,技术-组织-环境)框架和灰色关联度模型探讨了数字贸易发展水平的影响因素。实证研究发现:信息化水平、产业结构、政府支持力度、经济发展水平、对外贸易开放水平均能促进浙江省数字贸易发展,其中信息化水平影响最为显著,而对外贸易开放水平的影响最小。展开更多
将水资源承载力系统划分为水资源、社会、经济、生态环境4个子系统,构建包含24个评价指标的水资源承载力评价指标体系,建立基于熵权的逼近理想解排序(technique for order preference by similarity to an ideal solution,TOPSIS)模型...将水资源承载力系统划分为水资源、社会、经济、生态环境4个子系统,构建包含24个评价指标的水资源承载力评价指标体系,建立基于熵权的逼近理想解排序(technique for order preference by similarity to an ideal solution,TOPSIS)模型、耦合协调度模型、色关联度模型来分析2011―2020年长江经济带11省(市)水资源承载力时空变化过程、子系统间的协调发展水平以及影响水资源承载力的关键因素。结果表明:1)长江经济带11省(市)水资源承载力的表现:下降(2011―2013年)、小幅波动(2014―2017年)、大幅上升(2018―2020年);2)水资源承载力空间差异不大,均值水平呈下游高于上游、上游高于中游的特点;3)各子系统间的协调发展水平的表现:上升(2011―2013年)、明显下降(2014―2017年)、缓慢回升(2018―2020年);4)对水资源承载力影响程度高的因素:产水模数、城市人均日生活用水量、万元国内生产总值(gross domestic product,GDP)用水量、废水治理投资占GDP比重。长江经济带11省(市)水资源承载力水平受地区社会经济发展水平、水资源与生态环境现状影响较大,应因地制宜,合理利用、有效保护水资源。展开更多
The economy of China has turned to the stage of high-quality development. In this sense,the connotation of regional innovation capacity should reflect more aspects, such as better economic effectiveness, people-center...The economy of China has turned to the stage of high-quality development. In this sense,the connotation of regional innovation capacity should reflect more aspects, such as better economic effectiveness, people-centered philosophy of development and better living conditions. This study aims at establishing the evaluation index system of regional innovation capacity under high-quality perspective.Then the dynamic evaluation method based on gray correlation degree and TOPSIS is improved. And the improved method is applied to evaluate the regional innovation capacity under high-quality development perspective. The results show that: 1) The regional innovation capacity of Jiangsu, Zhejiang,Shanghai and Guangdong under high-quality development perspective is better than other regions,while the regional innovation capacity of Beijing-Tianjin-Hebei is imbalanced. Regional innovation capability of Fujian, Shandong, and Hainan from a high-quality perspective is at the middle and lower levels. 2) From the perspective of development trends, the gap of regional innovation capacity between Beijing, Jiangsu, Zhejiang, Shanghai, Guangdong and Fujian, Hebei, Shandong is gradually narrowing.3) An in-depth analysis of the regional innovation capability of the eastern provinces and cities from the perspective of high-quality development through different dimensions shows that Beijing, Guangdong, Jiangsu perform well in all dimensions, while Fujian and Hainan need to pay more attention to innovation input and the creation of a better innovation environment to enhance innovation output and promote innovation effectiveness. At last, based on above analysis, relevant policy recommendations are proposed.展开更多
文摘Tourism industry has already become an important part of national economy,which not only played a positive role in the development of the economy,but promoted the adjustment and optimization of industrial structure.The paper analyzes the correlation between the tourism industry and the other industry through changes of the Xingwen County tourism industrial output value in the past seven years.With the Gray Model,the correlation degree among the tourism industry and agriculture,industry,transport,wholesale and retail trade,postal and telecommunications industries is measured.The analysis result indicates that the order of the corresponding correlation degree:catering accommodation is 0.691> wholesale and retail is 0.617 > agriculture is 0.616 > Postal and telecommunications industry is 0.610> Transport is 0.602> Industry is 0.537.In accordance with the actual conditions of the industry in Xingwen,the industrial development policies and measures are put forward,which help the tourism industry Xingwen their rapid,coordinated and highly efficient operation.
文摘随着数字经济的快速发展,数字贸易已成为影响经济发展的重要力量。在数字经济背景下探讨数字贸易内涵,从信息网络基础设施、数字技术水平、产业数字化贸易、数字产业化贸易和贸易潜力5个维度构建数字贸易发展评价指标体系,运用相对熵的TOPSIS(technique for order preference by similarity to an ideal solution)法对浙江省2010—2018年数字贸易发展水平进行测度。结果表明:2010-2018年浙江省数字贸易发展总体呈上升趋势;进一步基于TOE(technology-organization-environment,技术-组织-环境)框架和灰色关联度模型探讨了数字贸易发展水平的影响因素。实证研究发现:信息化水平、产业结构、政府支持力度、经济发展水平、对外贸易开放水平均能促进浙江省数字贸易发展,其中信息化水平影响最为显著,而对外贸易开放水平的影响最小。
文摘将水资源承载力系统划分为水资源、社会、经济、生态环境4个子系统,构建包含24个评价指标的水资源承载力评价指标体系,建立基于熵权的逼近理想解排序(technique for order preference by similarity to an ideal solution,TOPSIS)模型、耦合协调度模型、色关联度模型来分析2011―2020年长江经济带11省(市)水资源承载力时空变化过程、子系统间的协调发展水平以及影响水资源承载力的关键因素。结果表明:1)长江经济带11省(市)水资源承载力的表现:下降(2011―2013年)、小幅波动(2014―2017年)、大幅上升(2018―2020年);2)水资源承载力空间差异不大,均值水平呈下游高于上游、上游高于中游的特点;3)各子系统间的协调发展水平的表现:上升(2011―2013年)、明显下降(2014―2017年)、缓慢回升(2018―2020年);4)对水资源承载力影响程度高的因素:产水模数、城市人均日生活用水量、万元国内生产总值(gross domestic product,GDP)用水量、废水治理投资占GDP比重。长江经济带11省(市)水资源承载力水平受地区社会经济发展水平、水资源与生态环境现状影响较大,应因地制宜,合理利用、有效保护水资源。
基金Supported by the National Science Foundation of China (71872047)Innovation Strategy Research Plan of Fujian Province (2021R0077)。
文摘The economy of China has turned to the stage of high-quality development. In this sense,the connotation of regional innovation capacity should reflect more aspects, such as better economic effectiveness, people-centered philosophy of development and better living conditions. This study aims at establishing the evaluation index system of regional innovation capacity under high-quality perspective.Then the dynamic evaluation method based on gray correlation degree and TOPSIS is improved. And the improved method is applied to evaluate the regional innovation capacity under high-quality development perspective. The results show that: 1) The regional innovation capacity of Jiangsu, Zhejiang,Shanghai and Guangdong under high-quality development perspective is better than other regions,while the regional innovation capacity of Beijing-Tianjin-Hebei is imbalanced. Regional innovation capability of Fujian, Shandong, and Hainan from a high-quality perspective is at the middle and lower levels. 2) From the perspective of development trends, the gap of regional innovation capacity between Beijing, Jiangsu, Zhejiang, Shanghai, Guangdong and Fujian, Hebei, Shandong is gradually narrowing.3) An in-depth analysis of the regional innovation capability of the eastern provinces and cities from the perspective of high-quality development through different dimensions shows that Beijing, Guangdong, Jiangsu perform well in all dimensions, while Fujian and Hainan need to pay more attention to innovation input and the creation of a better innovation environment to enhance innovation output and promote innovation effectiveness. At last, based on above analysis, relevant policy recommendations are proposed.
