Tourism Research. 2024, 16(5): 1-16.
Under the strategic background of vigorously promoting newtype urbanization
construction and seeking highquality development, it is of great practical significance to demonstrate
the relationship between tourism urbanization construction and green economic efficiency. Based on the
28 cities panel data ( 2006—2020) of urban agglomerations in the middle reaches of the Yangtze River,
the response model of tourism urbanization and super-efficiency SBM model was used to estimate and
analyze the level of tourism urbanization and the level of green economy efficiency, and the evolution
characteristics of their spatial-temporal patterns were analyzed. Applying panel regression model to
empirically analyze the impact of tourism urbanization on green economy efficiency and the
heterogeneity of sub-agglomerations. Major findings of this research are: the level of tourism
urbanization and green economy efficiency of urban agglomerations in the middle reaches of the Yangtze
River during the study period showed a fluctuating and rising trend, and the growth trend was not
stable, showing phase differentiation; the level of tourism urbanization presents a spatial pattern of
“ high in the east and low in the west, high in the south and low in the north” , the efficiency level of
green economy shows the spatial evolution characteristics of “ small dispersion and large contiguous
piece” ; the level of tourism urbanization has an inhibitory effect on the improvement of green economic
efficiency, and the inhibitory intensity of sub-urban agglomerations shows the ranking pattern of
Changsha-Zhuzhou-Xiangtan urban agglomeration > Wuhan metropolitan area > Poyang lake urban
agglomeration; on the whole, economic development level, opening up level and environmental
regulation intensity can significantly promote the improvement of green economic efficiency.
Government intervention inhibits the improvement of green economy efficiency, and there are obvious
regional differences in the influence of each control variable on the scale of sub-urban agglomerations.