Search

Copyright of Tropical Geography is the property of Tropical Geography Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Tropical Geography is the property of Tropical Geography Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Economic globalization and regional integration are the core motivations of regional cooperation in the 21st century, and the issue of cross-border cooperation has attracted much academic attention. As the largest regional integration organization with the highest level in the world, EU takes the lead in practicing regional integration in the process of economic globalization. Europe's cross-border governance has been paid attention in a long time in economic geography and political geography, and a large number of theoretical and empirical research results have been achieved on issues such as border cooperation model and cross-border governance mechanism. The development experience of EU provides rich theoretical and practical experience for the collaborative governance in the Guangdong-Hong Kong-Macao Greater Bay Area, as the two also involve the collaboration across institutional boundaries and power restructuring. Therefore, the analysis of EU cross-border cooperation is of great significance to promote Guangdong-Hong Kong-Macao coordination. Based on the bibliometric analysis of Citespace, this paper systematically studies the research trends of EU cross-border cooperation from 1993 to 2020. The study finds that: 1) EU cross-border cooperation research mainly focuses on border regional interaction, cross-border cooperation mode, cross-border cooperation field, cross-border cooperation barriers and other issues. The regional integration of Europe has promoted the transformation of border areas from marginal areas to the forefront of development, and gradually formed a cross-border governance model under the superposition of formal institutional arrangements and informal institutional arrangements. The field of cooperation involves economic cooperation, tourism, environmental governance, health and other fields. 2) The development of EU cross-border cooperation benefits from the political interaction and mutual trust between countries, formal and informal institutional coordination, and the expansion and deepening of the scope of cooperation. However, there are still deficiencies in bilateral differences, cross-border accessibility, immigration and security. 3) As the same cross-institutional border region, the practical experience of EU cross-border cooperation has important enlightenment for the collaborative governance in the Guangdong-Hong Kong-Macao Greater Bay Area. Value identity is the basis of cross-institutional cooperation in the Guangdong-Hong Kong-Macao Greater Bay Area. Inclusive and orderly institutional arrangements are conducive to reducing the shielding effect of cooperation boundaries. And the combination of multi-scale cooperation and multi-dimensional governance system will effectively improve the cooperation in border areas. [ABSTRACT FROM AUTHOR]

The dynamics of innovation in geographical space is closely related to the regional development trajectory. Evolutionary economic geography points out the path dependence characteristics of regional development, and emphasizes that the direction of regional development is rooted in the original industrial and technological structure characteristics. Therefore, the geographical pattern of technological innovation and the identification of its diversity characteristics are of significance to the realization of regional innovation and the evolution of industrial structure. From the perspective of strategic industry, this paper aims to reveal the geographical pattern and diversity characteristics of technological innovation in strategic industry in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). Based on the point scale spatial data of invention patents in the GBA and by means of connecting strategic industry with national economy industry classification code and patent IPC classification code, the invention patents of six major industries in the GBA are extracted, which are the new generation of electronic information industry, automobile industry, green petrochemical industry, new energy industry, advanced material industry and intelligent robot industry. And the nuclear density analysis, standard deviation tail value test, entropy method and average nearest neighbor distance analysis are used to identify the spatial distribution characteristics and differences of multiple types of technological innovation in the GBA. The results show that the geographic pattern of technological innovation in the GBA presents a significant spatial imbalance. At the regional scale, Guangzhou and Shenzhen are the two agglomeration cores. There is a large gap in the innovation ability between the east and west sides of the Pearl River. The accumulation of technological innovation on the east bank is much higher than that on the west bank. The innovation profile line on the east bank has formed two obvious peaks in Guangzhou and Shenzhen. The high value of the innovation profile line on the west bank is mainly concentrated in Guangzhou and Zhuhai, and the peak value is far lower than that on the east bank. The location of technological diversity is mainly distributed in the core areas of the GBA, mainly including Yuexiu District and Tianhe District in Guangzhou, Nanshan District and Futian District in Shenzhen, Binhai District in Dongguan and Xiangzhou District in Zhuhai. And the distribution characteristics of technological innovation data of different industrial types are different. The innovation of the new generation of electronic information industry, advanced materials industry and green petrochemical industry accounts for 51.67% of the total innovation in the GBA. The innovation of different technological types shows obvious spatial differentiation. The innovation agglomeration degree of the new generation electronic information industry is the highest, with the R value of 0.0576. And its observed value of the average nearest neighbor distance between invention patents is 32.03 m, which belongs to the minimum value in the selected analysis industries, showing strong agglomeration characteristics. There are differences in the distribution characteristics of the agglomeration core of the six major industries in the GBA. The common ground is that they have formed the largest two agglomeration cores in the core areas of Guangzhou and Shenzhen, covering Yuexiu-Tianhe area in Guangzhou and Futian-Nanshan-Luohu area in Shenzhen. And the spatial distribution is mainly concentrated in the core areas of Guangzhou, Shenzhen, Dongguan and Zhuhai. Among them, the spatial agglomeration degree of the new generation of electronic information industry innovation is the highest. Agglomeration and multi-dimensional proximity, diversity and path dependence are the main mechanisms for the formation of the geographical pattern of technological innovation in the GBA, and these two key mechanisms promote the formation of current multi-type technological innovation space in the GBA. [ABSTRACT FROM AUTHOR]

Copyright of Tropical Geography is the property of Tropical Geography Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)