Assessing the coupling coordination degree between all-for-one tourism and ecological civilization; case of Guizhou, China

Hu, Zeli; Kumar, Jeetesh; Qu, Qin; Kannan, Suresh

doi:10.1016/j.indic.2023.100272

Cited by 7 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using this method, Liu et al [9] and Cai et al [10] studied the coupled and coordinated relationship between food security and agro-ecological protection and cropland use intensity, and Chen et al [49] studied the coupled and coordinated relationship between agricultural modernisation and regional economic development. Coupling C refers to the interactive influence between the two and can reflect the degree of interdependence between the systems [50]. The higher the C value, the greater the coupling; the lesser the C value, the lower the coupling.…”

Section: Coupling Coordination Degree Modelmentioning

confidence: 99%

Agricultural Technology Innovation and Food Security in China: An Empirical Study on Coupling Coordination and Its Influencing Factors

Zhao,

Geng,

Chi

et al. 2024

Agronomy

View full text Add to dashboard Cite

The coupling coordination of agricultural technology innovation with food security is of great significance for high-quality agricultural development. By identifying the coupling coordination relationship between the two systems and the influencing factors, this paper aims to promote the virtuous cycle of coordinated development between regional agriculture and technology, as well as accelerate the realisation of high-quality development of Chinese agriculture. Therefore, this paper explores the spatial and temporal coupling characteristics of the two using the entropy value method, coupling coordination degree model, and exploratory spatial data analysis, and it screens for important influencing factors using the grey correlation model. The main results show that ① the coupling coordination relationship between agricultural technology innovation and food security in China is at a dissonant stage, but the value of the coupling coordination degree increases from 0.2076 to 0.3437 during the period of study, and the level of coordination gradually improves. ② The degree of coupling coordination in the provincial space exhibits a distribution pattern of “high in the east and low in the west”. The areas of high value are primarily situated in the provinces of Shandong, Jiangsu, and other provinces along the southeastern coast of China, while the areas of low value are mainly located in the provinces of Qinghai, Ningxia, and other provinces in inland northwest China. ③ The Moran’s index of provincial coupling coordination is greater than 0, showing a certain positive correlation, and there is a significant pattern of spatial aggregation. ④ The correlation coefficients between the influencing factors and the degree of coupling coordination are all greater than 0.35, indicating a moderate or high correlation, but the significance of technological support capacity and food distribution security increased over time.

show abstract

Section: Coupling Coordination Degree Modelmentioning

confidence: 99%

Agricultural Technology Innovation and Food Security in China: An Empirical Study on Coupling Coordination and Its Influencing Factors

Zhao,

Geng,

Chi

et al. 2024

Agronomy

View full text Add to dashboard Cite

show abstract

“…Coupling degree is a physical concept utilized to describe the extent of mutual influence and interrelation between systems or elements [27]. On the other hand, the degree of coordination is employed to depict the extent of favorable interaction and coordinated development between systems or elements, thereby reflecting the sustainability of benign interaction and correlation.…”

Section: Coupling Degree and Coupling Coordination Analysismentioning

confidence: 99%

Researching Tourism Space in China’s Great Bay Area: Spatial Pattern, Driving Forces and Its Coupling with Economy and Population

Li,

Gao

2023

Land

View full text Add to dashboard Cite

Analysis of the spatial patterns and dynamics of tourism services and facilities is crucial for tourism and land use planning. However, most studies in the spatial analysis of tourism rely on the city- or regional-level data; limited research has used POI (point of interest) data to accurately uncover the spatial distribution of tourism, especially its interactive and coupling relationship with the local economy and population. Based on POI data, this paper, therefore, investigates the spatial patterns and driving forces of tourism services distribution and how tourism space is coupled with the local economy and population in the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) of China. The results show the following: (1) Different categories of tourism services (catering, shopping, scenic spots, leisure, and sports) exhibit diverse spatial patterns and agglomerations, but they tend to align with the variables of economic level and population in a grid of 1 km2. (2) The spatial econometric models further reveal that population density, transportation, and hospitality facilities are positively correlated with the spatial distribution of tourism services, but GDP in a grid of 1 km2 shows a weak negative correlation with the POI of tourism services, which may be attributed to the incoordination between GDP and tourism in some areas. (3) The analysis of coupling degree further identifies the areas where tourism services have good interaction/coupling with the local GDP and population density, such that these areas can be viewed as hotspots suitable for tourism promotion. This paper thus offers meaningful policy implications by calling for an optimization of the coupling of tourism services with local social–economic factors in the GBA.

show abstract

“…In the foreign research field, there are few relevant studies using the coupled coordination model. Hu et al (2023) measured the coupled coordination index of ECC and global tourism index in Guizhou, and believed that the two have undergone an evolution from uncoordinated to moderately coordinated during 2006-2020 [8]. In terms of regional influence, Dong et al ( 2023) conducted a study using the spatial Durbin model and discovered that the points of ECC of cities in the region of Yangtze River have a significant autocorrelation [9]; Liu et al (2020) found that the decreasing of carbon emissions among different provinces has a significant correlation [10].…”

Section: Overviewmentioning

confidence: 99%

Spatial and Temporal Coupling Coordination and Influencing Factors of Digital Inclusive Finance and Ecological Civilization Construction in China

Zhou

2023

TEBMR

View full text Add to dashboard Cite

This paper uses the spatial coupled coordination model, spatial autocorrelation analysis and spatial Durbin model to explore the spatio-temporal pattern and influencing factors of the coupled coordination index between ecological civilization construction (ECC) and digital finance (DF). The results show that: (1) From 2011 to 2021, the coupling coordination degree between ECC and DF in China shows an increasing trend. Besides, the degree of coupling coordination has obvious spatial diversity. The eastern provinces are generally larger than the western provinces, and this pattern is relatively stable. (2) The coupling degree between neighboring provinces and cities has a strong positive correlation, and it is growing every year recently. (3) The test results of spatial Durbin model show that the human capital, economic growth, technological innovation and trade factors can help coupling coordination to raise. cities development and industrial structure have negative effects on coupling coordination.

show abstract

Assessing the coupling coordination degree between all-for-one tourism and ecological civilization; case of Guizhou, China

Cited by 7 publications

References 20 publications

Agricultural Technology Innovation and Food Security in China: An Empirical Study on Coupling Coordination and Its Influencing Factors

Agricultural Technology Innovation and Food Security in China: An Empirical Study on Coupling Coordination and Its Influencing Factors

Researching Tourism Space in China’s Great Bay Area: Spatial Pattern, Driving Forces and Its Coupling with Economy and Population

Spatial and Temporal Coupling Coordination and Influencing Factors of Digital Inclusive Finance and Ecological Civilization Construction in China

Contact Info

Product

Resources

About