Coordination or Conflict? The Synergistic Effect and Driving Mechanism of Green Technology Innovation and Tourism Green Development
Year: 2025
Type: article
Abstract: Exploring the dynamic synergistic effect and driving mechanism of green technology innovation (GTI) and tourism green development (TGD) is of great significance for reducing the environmental footprint of tourism, enhancing the capacity of sustainable development, and promoting the practical application of green technology and industrial upgrading. This study takes 41 cities in the Yangtze River Delta (YRD) region of China as research objects, and the time span of the study is from 2007 to 2023. The dynamic synergistic effects and driving mechanisms of GTI and tourism green development (TGD) are revealed by comprehensively adopting the coupled coordination model and panel quantile regression model. The results of this study show that (1) the average value of the coupling coordination degree (CCD) shows a small upward trend, with regional differences for Shanghai > Zhejiang > Jiangsu > Anhui. (2) High coupling coordination degree (CCD) areas are spatially concentrated in provincial capital cities, with prominent spatiotemporal heterogeneity characteristics and spatial correlation. (3) Industrial structure, human capital, and tourism resource endowment have a significant contribution to the coupling coordination degree, while informationization level and transport facilities show heterogeneous influence effects in different sub-location contexts. The level of openness and environmental regulation did not show the ‘pollution shelter’ effect, confirming ‘Porter’s hypothesis’ to some extent. (4) This study not only provides new evidence for the synergistic effect of green technological innovation and the green development of tourism, but it also provides an important reference for green technological innovation to empower the high-quality development of tourism.
Source: Sustainability
DOI: 10.3390/su17031278
Authors: Xiangyang Guo, Xueqing Mu, Qingzhong Ming
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,896
Awards: G6052892745, 山地旅游目的地人地关系地域系统变化及其机制研究
OpenAlex ID: W4407176730
