Coordination between Tourism and Ecological Environment and High-Quality development: Based on the Study of the Yellow River Basin

Abstract

The coordinated development of tourism and EE (ecological environment) is of practical significance to the HQD (high-quality development) of the YRB (Yellow River Basin), and the excellent EE provides a strong guarantee for the sustainable and healthy development of the tourism industry. Objective. To explore the coupling relationship between tourism and EE coordination and HQD in the YRB. Methods. This paper uses the improved soil moisture weight method to quantitatively measure the coupling CT (coordination between tourism) and EE and HQD in the YRB from 2014 to 2020. The results show that from 2014 to 2020, on the whole, the evaluation values of tourism economy and EE in the YRB show an increasing trend, but the growth trend of tourism economy is obviously stronger than that of EE. From the perspective of eco-environmental quality index, the overall increase of eco-environmental quality index of the YRB from 2014 to 2020 is small, and the eco-environmental quality of the YRB has improved to some extent in the recent years, but the effect is not significant. And they all passed the significance test at 1% level. During 2014–2020, the overall Moran index of the coordinated development level of tourism and EE and HQD in the YRB showed a wave-like fluctuation, and the fluctuation range increased gradually, and the overall trend was decreasing. Government control, industrial structure (proportion of tertiary industry), population size, and people’s living standard have significant positive effects on the coupling and coordination of local tourism economy and EE, while industrial R&D investors have significant negative effects on the coupling and coordination of local tourism economy and EE, while natural disasters have no significant effects on the coupling and coordination of local tourism economy and EE. Conclusion. The HQD of tourism in the YRB should establish the idea of giving priority to EE, construct the mechanism of regional coordinated development, and implement the driving strategy of scientific and technological innovation and the development model of culture + ecology + tourism.

Research on the Spatial-Temporal Evolution and Driving Mechanism of Coupling Coordination among Digital-Tourism-Environment in the Yellow River Basin

“…Tourism, as an environmentally friendly industry, is fully capable of becoming an effective tool for environmental protection when reasonably utilized [8], but if it is overdeveloped, it will also affect the ecological balance and environmental quality [27]. Tourism has a positive impact on environmental quality by supplying critical services, encouraging technological advancement, and promoting efficient energy use [10].…”

“…First, there is a lack of empirical studies at the city level in the basin [26]. The relevant studies mainly focus on the provincial [27,28], city cluster [29,30], industry [31], enterprise [32], and other levels. Secondly, existing studies on the coupling of the Yellow River Basin mostly focus on the quantitative analysis of two variables, and mainly concentrate on the ecological environment and economic development [33,34], high-quality development [35], urbanization development [36], and so on.…”

Carbon Emissions, Ecological Efficiency, and the Economic Development Stage: Evidence from the Yellow River Basin

“…e proportion of capital and labor-intensive industries in the YRB is relatively high, while the proportion of technology-intensive industries is relatively low [37,38]. e economic development stage of the YRB is still in the extensive development stage, but there is a tendency to transform and upgrade to the stage of high-quality development [39]. Based on the characteristic of the industrial structure and economic development model in the YRB, this paper puts forward the following assumptions:…”

The Impact of Economic Agglomeration on Green Total Factor Productivity: An Empirical Analysis from China's Yellow River Basin

“…The final benchmark econometric model of this paper is as follows after including the lag period of GTFP and the relevant control variables in the model: (15) Among them, ln(GTFP) i,t-1 is the lagged 1-period GTFP value of city i, X i,t is a set of control variables, including per capita GDP and its quadratic term, level of opening to the outside world, industrial structure, urbanization, energy consumption structure, environmental regulation, etc. In order to ensure the accurate identification of the relationship between EA and urban green development, this paper refers to the practice of Meng F. [53], and adds labor productivity, knowledge and technology spillovers, information transmission efficiency, and transportation cost as control variables in the benchmark regression.…”