首页|Spatial Differentiation and Convergence Trend of High-quality Devel-opment Level of China's Tourism Economy

Spatial Differentiation and Convergence Trend of High-quality Devel-opment Level of China's Tourism Economy

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This paper aims to interpret the connotation of high-quality development of tourism economy(HQTE)from the perspective of the new development concepts of innovation,coordination,green,openness and sharing,and then to evaluate the spatial differenti-ation of China's HQTE based on provincial panel data from 2009 to 2018.Specifically,we employ the spatial convergence model to ex-plore the absolute and conditional β convergence trends of HQTE in the whole country and the eastern,central and western regions of China.Our empirical results reveal that:1)within the decade,from 2009 to 2018,regions of China with the highest HQTE index is its eastern region followed by the central region and then the western region,but the fastest growing one is the western region of China fol-lowed by the central region and then the eastern region.2)Whether or not the spatial effect is included,there are absolute and condition-al β convergence in HQTE in the whole country and aforementioned three regions.3)The degree of government attention as well as the level of economic development and location accessibility are the positive driving factors for the convergence of HQTE in the whole country and the three regions.The degree of marketization and human capital have not passed the significance test either in the whole country or in the three regions.The above conclusions could deepen the understanding of the regional imbalance and spatial conver-gence characteristics of HQTE,clarify the primary development objects,and accomplish the goal of China's HQTE.

new development conceptshigh-quality development of tourism economy(HQTE)spatial convergenceChina

CAO Shanshan、HE Zhaoli、NIU Jinlan、WANG Songmao、ZHAO Lei

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School of Geography and Ocean Science,Nanjing University,Nanjing 210046,China

School of Business Administration,Nanjing University of Finance and Economics,Nanjing 210046,China

School of Economics and Management,Shandong Agricultural Uni-versity,Tai'an 271018,China

School of Hotel Management,Shanghai Business School,Shanghai 201400,China

School of Man-agement,Zhejiang University of Technology,Hangzhou 310014,China

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National Natural Science Foundation of China

42001156

2024

10.1007/s11769-024-1413-1

中国地理科学(英文版)
中国科学院长春地理研究所

中国地理科学(英文版)

CSTPCD
影响因子：0.754
ISSN：1002-0063
年,卷(期)：2024.34(2)
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