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Optimizing Strategies for Assessing Tourism Utilization Potential and Prioritizing Intervention in ICH: A Case Study of China's Yellow River Basin
Meirong Wang 1
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Lei Kang 1✉
Jinyuan Zhang 1
Yuyu Di 1
Haoran Qin 1 Email
1 School of Geographical Sciences Shanxi Normal University 030000 Taiyuan Shanxi China
2 School of Surveying and Land Information Engineering Henan Polytechnic University 454003 Jiaozuo Henan China
Meirong Wang1 ,Lei Kang1,* ,Jinyuan Zhang2 ,Yuyu Di1, Haoran Qin1
(1 School of Geographical Sciences, Shanxi Normal University, Taiyuan, Shanxi 030000, China
2 School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, Henan 454003, China)
* Correspondence:kangleisxnu@126.com
Abstract
Globalization and technological advancement have intensified the dichotomy between commercialization and authenticity in the development of Intangible Cultural Heritage (ICH) tourism, leading to its heavy reliance on tangible spatial carriers. To effectively guide the preservation and development of ICH, this study takes China’s Yellow River Basin as a case study, constructing a multi-source assessment system for the tourism utilization potential of ICH to precisely identify intervention values for tourism development and advantageous zones. The findings indicate that: (1) ICH exhibits a highly concentrated spatial pattern characterized by “five cores and two wings”; (2) the distribution of tourism utilization potential demonstrates distinct “core–periphery” characteristics; (3) tangible spatial carriers serve as the primary driver of spatial differentiation in tourism potential; and (4) differentiated development models are accordingly proposed for six distinct zones.
Keywords:
Intangible Cultural Heritage
Intangibility
Tangible Spatial Carriers
Tourism Utilization Potential
Yellow River Basin
A
1 Introduction
Intangible Cultural Heritage (hereinafter referred to as "ICH") is a diverse cultural assemblage nurtured by humanity within specific environments, characterized by a strong regionally embedded cultural experience1. It constitutes an important component of tourism resources. As the cradle of Chinese civilization, China's Yellow River Basin features a complete cultural sequence and serves as a representative case for global exploration of ICH revitalization. The symbiotic relationship between cultural dissemination and discursive power2,3has prompted nations to contemplate how to activate cultural value. However, globalization, technological advancement, and commodification are diluting ICH diversity, compelling reliance on tangible carriers to safeguard its cultural authenticity4. Current research has yet to adequately address this contemporary shift, lacking systematic investigation into the deep integration of intangible ICH with tangible carriers. Utilization potential, as a prerequisite for tourism development5, raises critical questions: how to refine the evaluation system for ICH utilization potential, identify and select regions with high development potential, and promote differentiated conservation and development of cultural heritage. These challenges urgently require resolution in globally significant cultural regions.
Research on ICH tourism primarily focuses on areas such as stakeholder responses to tourism development, the impacts of ICH tourism, and the value of ICH6,7. Adopting a stakeholder perspective, scholars conduct multidimensional analyses of various management behaviors by ICH tourism participants and their influence on ICH development and preservation. These analyses encompass: governmental actions, such as financial support and cultural promotion8,9; the cultural transmission behaviors of ICH inheritors, including training successors and providing cultural experiences10,11; emerging business formats in ICH tourism, exemplified by virtual games1214,and the effects of tourist behaviors, such as destination choice and product purchase tendencies influenced by experiential preferences15,16. Based on these examinations, scholars offer suggestions for sustainable development.Furthermore, the effects of ICH tourism development on multiple stakeholders—economically, culturally, and regarding ICH ownership—have recently garnered scholarly attention17. At the core lies the debate between the authenticity and the commodification of ICH18. Key tensions identified include: the conflict for local residents between sustaining the local context of ICH and the pressure to improve livelihoods19; the contradiction between the commodification of ICH by governments and tourism operators and the efforts of communities and inheritors to preserve its authenticity20,21; the dilemma for local residents and inheritors who repeatedly perform ICH craft demonstrations to cater to tourists22; and the conflict between different communities deviating from universal paradigms and asserting their own discursive power23.Regarding the value of ICH tourism, most scholars concentrate on its social value. Early research examined its political attributes, analyzing its role as a tool for power narratives in constructing national identity and vying for local discursive power24,25. It was noted that officially dominated narratives in ICH tourism reinforce collective memory26. Recent studies focus on its community governance attributes, exploring the community-level actions of participatory administrative units in ICH preservation and development, fostered by emotional connections to ICH27. It is widely recognized that the linkage between residents' place attachment28 and tourists' sense of place stimulates participants29 in neighborhood spaces to reconstruct or maintain a localized context conducive to ICH development25,30.
The tourism appeal of ICH lies in its cultural, aesthetic, and artistic value31, which can be transformed into tourism revenue through development32,33. Tourism utilization potential serves as a prerequisite for ICH tourism development, enabling the effective allocation of limited community resources to areas with high potential for greater efficiency7. Consequently, how to measure the suitability and accessibility of for cultural products has gradually become a research focus. Current research primarily concentrates on the intrinsic resource endowment of ICH and external tourism support from a supportive guarantee perspective. This involves evaluating the tourism development environment based on internal conditions such as resource endowment concerning ICH resources34, venues35, and participatory capacity36, as well as external conditions including capital support37,38, tourist demand38,39, and tourist perception-continuance-intention40,41.The transformation of intangible ICH into tourism products necessitates reliance on spatial carrier pivots42. Yoshida first noted the intangible nature of ICH resources and proposed that tangible spatial carriers like museums are crucial means to enhance their tourism impact43, offering a novel perspective for evaluating ICH's tourism value. Scholars argue that audio archives can best preserve cultural heritage44, and digital museums facilitate ICH commodification while maintaining both communicability and authenticity45,46.Currently, globalization, urbanization, and new media development are diluting ICH cultural diversity, compressing its transmission spaces, while commodification constantly encroaches upon its authenticity. Reliance on carriers such as museums, A-rated tourist attractions, traditional villages, historical-cultural districts, and inheritors is essential to preserve this authenticity. To overcome these limitations, this paper innovatively incorporates tangible spatial carriers into the evaluation system for ICH tourism utilization potential, aiming to scientifically quantify this potential and identify regions with high development prospects for ICH tourism.
The tourism utilization potential of ICH is driven by complex factors such as resource endowment, external tourism support, and tangible spatial carriers, resulting in significant spatial heterogeneity. Current research on the spatial attributes of ICH has largely been confined to quantitative analysis of individual driving factors using methods like the geographical detector47 and grey relational degree model48, or qualitative spatial overlay analysis employing methods like the Analytic Hierarchy Process (AHP) and kernel density estimation. This focus is gradually shifting towards spatial modeling.While the application of the Geographically Weighted Regression (GWR) model has effectively addressed the issue of spatial heterogeneity, it explores local variations using a uniform spatial scale. This approach poses a limitation because the multiple factors influencing ICH tourism utilization potential operate with multi-scalar dynamics, meaning their effects vary across different geographical scales. Consequently, the explanatory power of these drivers for specific regions is often diminished49, as traditional models struggle to simultaneously account for both spatial heterogeneity and the multi-scale characteristics of influencing factors50.To overcome this limitation, this paper employs the Multi-scale Geographically Weighted Regression (MGWR) model. The model utilizes the corrected Akaike Information Criterion (AICc) to select the optimal bandwidth, enabling the detection of scale-dependent relationships among the complex factors affecting ICH tourism utilization potential51.
In recent years, the value of the Yellow River era has become increasingly prominent, and efforts to explore the cultural utilization potential of its basin have intensified. The regions along the Yellow River have emerged as typical areas for exploring the integrated conservation and development of cultural resources, particularly ICH. YRB is a characteristic multi-cultural convergence zone, making the quantification of the tourism utilization potential of its ICH resources both scale-typical and regionally specific.
In light of this, the research objectives of this paper are as follows:
(1) At the theoretical level, to systematically refine the evaluation system for assessing the tourism utilization potential of ICH, and to elucidate the impact mechanism of tangible spatial carriers on ICH.
(2) To identify the multi-factor driving mechanisms influencing the tourism utilization potential of ICH resources, and to innovatively introduce the Multi-scale Geographically Weighted Regression (MGWR) model to investigate the influence mechanisms within complex cultural-tourism environments.
(3) To screen and identify spatio-temporal regions and categories with high development and utilization potential, thereby providing a replicable evaluation methodology for scientifically formulating differentiated policies for ICH conservation and tourism development. Simultaneously, this aims to offer an important reference for tourism development in other similar cultural regions worldwide.
2 Study Area, Data Sources, and Research Methods
2.1. Study Area
A
The Yellow River Basin (YRB) (Fig. 1) spans eight provinces of China (89°23′–122°42′E, 32°05′–46°10′N), encompassing 736 counties, county-level cities, municipal districts, banners, demonstration zones, and other county-level administrative units. These include Shandong, Henan, Shaanxi, Shanxi, Inner Mongolia, Ningxia, Gansu, and Qinghai. This vast territory features complex topography, with higher elevations in the west and lower in the east, crisscrossed by rivers and inhabited by multiple ethnic groups. It encompasses diverse regional cultures along its course, including the Hehuang Basin, Hetao Plain, Guanzhong Plain, Sanjin Region, Heluo Region, Central Plains, and Qilu Region. To date, it boasts 6,841 provincial and national ICH listings, characterized by rich expressive forms and strong regional cultural distinctiveness.
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Based on the standard map with review number GS(2024).0650, with no modifications made.
Figure 1. The Yellow River Basin
2.2. Data Sources
The data utilized in this study encompass ICH data and natural socio-economic data (Table A). The national-level ICH data were sourced from the five batches of national-level ICH application projects and their application locations published by the China ICH Digital Museum (https://www.ihchina.cn/). The provincial-level ICH data were obtained from the provincial-level ICH application projects and locations announced by the people's governments of eight provinces along the Yellow River. The origination time of each ICH item was traced back to respective county annals.As of October 2023, after excluding items with no fixed transmission sites or verifiable origination times, a total of 6,841 ICH items were included in the dataset.
2.3. Research Framework
The study on the optimization strategy for evaluating the tourism utilization potential of ICH in YRB and identifying intervention values comprises four steps (Fig. 2):
Step 1: Constructing an evaluation framework for ICH tourism potential. Incorporating tangible spatial carriers—the pivotal link transforming ICH into commercialized tourism products—into the assessment system;
Step 2: Analyze the Development Conditions of ICH Resources.Analyzing the development conditions of ICH resources in terms of their geographical distribution and dissemination extent using kernel density estimation, to examine their spatiotemporal characteristics.
Step 3: Identify the response mechanisms of ICH tourism utilization potential. The entropy weight method is employed to measure tourism utilization potential. A combined application of the geographical detector and the MGWR model is used to identify the response mechanisms of 25 indicators and explain their intervention values, analyzing the similarities and differences in dominant factors across 736 counties.
Step 4: Ecological response optimization zoning. This step introduces a "three-dimensional cube" zoning model to classify areas based on the contribution intensity of resource endowment, tangible spatial carriers, and external tourism support. YRB is categorized into six tourism development optimization zones. The tourism development effects of each zone are analyzed to precisely match the optimal ICH development model for different zones.
Fig. 2
Schematic Diagram of the Research Mechanism
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2.4. Theoretical Framework
Tourism utilization potential refers to the latent capacity of tourism resources to be transformed into tourism products in future development, driven by a combination of internal and external conditions52. Existing measurements of tourism potential predominantly focus on a support and guarantee perspective, evaluating dimensions such as tourism resources29, development conditions37, and tourist choice preferences39. Tourism resources form the core attraction for tourism development; development conditions provide the foundational requirements; and tourist choice preferences represent the source of the tourist market.
Scholars posit that ICH tourism utilization potential is the latent ability of ICH resources to be transformed into tourism products or to attract tourists5,36. When the tourism product is an intangible ICH product, it requires reliance on a material carrier as a pivot point to become a tangible form. Subsequently, its transformation into a tourism product proceeds based on the internal and external conditions for tourism development. In this process, the carriers to which the ICH is attached are crucial for maintaining its authenticity and vitality24.
2.5. Indicator System Construction
Based on the theoretical framework (Fig. 3), we selected 25 indicators from three dimensions—ICH resource endowment (RE), tangible spatial carriers (TSC), and tourism external support (TES)—referencing existing literature3437 to construct the ICH Tourism Utilization Potential Evaluation Table (Table B). To eliminate dimensional effects, the raw data underwent positive normalization. Weights were determined using the entropy weight method34.
RE serves as the foundation for tourism development. Numerous and densely distributed clusters of ICH form the basis for tourism development activities53. Among these, participatory and experiential ICH categories such as handicrafts and folk customs are highly appealing to tourists36. Moreover, the greater the diversity and experiential value of ICH categories, the more effective it is to incorporate diversity into measurement54. Different categories of ICH exhibit varying degrees of advantage. Craft-based ICH, which is less time-sensitive, has an effective exhibition period that coincides with China's peak tourism season (April to October each year). Therefore, a weight of 1/2 is assigned based on the proportion of the time period (6 months/12 months). Conversely, for folk festival-based ICH with highly concentrated appeal, a uniform activity cycle (3 days) determines the time weighting: 3/36555. The selection of ICH for listing prioritizes those with significant influence and rich cultural connotations. The longer an item has been listed as national-level ICH, the higher its value. Therefore, the indicator of maturity is introduced.
TSC serves as the pivotal point for public recognition of ICH. Grade A tourist attractions and leisure districts offer diverse forms of ICH display and experiential activities21,54. Museums and their educational outreach programs collect, preserve, and showcase authentic ICH cultural elements56. Traditional villages and historic cultural districts, deeply rooted in public consciousness, nurture rich and diverse ICH skills7,57.
TES ICH tourism development relies on the completeness and effectiveness of its external support environment. Tourism supporting facilities encompass dining, lodging, and transportation. Using Amap as the basis, points of interest (POIs) were obtained by crawling keywords such as “hotels, homestays, inns, resorts, apartments,” “restaurants, eateries, banquet halls, snack bars, beverage shops,” etc. The number of strongly connected cities is calculated by comprehensively measuring multidimensional transportation connectivity via highways, railways, and aviation, providing a more accurate reflection of accessibility than traditional mileage-based methods. The capacity of “tourism, shopping, and entertainment” elements is measured using the “City Commercial Appeal Index” released by the New First-Tier Cities Research Institute.
Fig. 3
Theoretical Framework for Evaluating the Tourism Utilization Potential of ICH Resources
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2.6.Research Methods
2.6.1.Kernel Density Analysis
Kernel density values reflect the distribution density of ICH resources within a region, revealing the spatial clustering characteristics of such resources in YRB. The
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higher values indicate denser distribution of ICH. The calculation formula is:
1
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In the formula:
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denote the kernel function;
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denote the quantity of ICH items.༛
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denote the search radius.༛
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denote the distance from the estimated ICH locationto;
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to the actual ICH location.
2.6.2.GeoDetector
The Geographic Detector serves as an effective tool for exploring the causes and mechanisms underlying the spatial patterns of geographic elements47. By employing factor detectors and interaction detectors, it examines the explanatory power and interactions of various geographic factors in shaping the spatial distribution of ICH resources, while quantifying their influence. A higher q-value indicates stronger explanatory power of that factor for the spatial distribution of ICH resources in YRB; conversely, a lower q-value signifies weaker explanatory power. The calculation formula is:
2
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In the formula:
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represent the number of ICH、
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represent the sample size of the
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category of influencing factors.;
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denote the variance.
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represent the degree of variation for the
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-th category of influencing factors.༛
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denote the number of categories or partitions for the
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-th .
2.6.3.Multi-Scale Geographically Weighted Regression Model (MGWR)
The MGWR model serves as a tool for revealing the strength of spatial heterogeneity among various influencing factors51. It employs a quadratic kernel function to estimate spatial weights within an adaptive bandwidth framework, selecting the optimal bandwidth through adaptive selection. Traditional geographic weighted regression (GWR) applies uniform bandwidths across all variables at the same scale. MGWR permits variables to have distinct optimal bandwidths at multiple scales, yielding more accurate regression results. It is employed to explore spatial non-stationarity and scale effects between the spatial distribution of ICH resources in YRB and other factors. The calculation formula is:
3
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In the formula:
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denote the value of the dependent variable for the
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-thobservation in the study area.;
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denote the value of the
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-th explanatory variable for the
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-th observation in the study area.༛
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denote the error term༛
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denote the value of the
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-th explanatory variable for the
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-th observation in the study area.
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denote the geographical bandwidth used for the regression of the
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-th explanatory variable.□
2.6.4. Three-Dimensional Cube Classification Method
The three-dimensional cube spatial classification method categorizes areas based on multiple factors influencing the utilization potential of ICH tourism. It encompasses three dimensions: ICH resource endowment, tangible spatial carriers, and tourism external support, thereby delineating development zones for the utilization potential of ICH tourism resources (Fig. 4). With resource classification as the X-axis, carrier classification as the Y-axis, and support classification as the Z-axis, values ranging from 1 to 4 are assigned based on the distance from each node to the origin of the three-dimensional space51. Higher values correspond to greater tourism development potential. This constructs a 4×4×4 three-dimensional four-order cube representing the tourism utilization potential of ICH resources. Each unit (x, y, z) represents a combination of attribute types, resulting in 64 distinct zones.
Fig. 4
3D Rubik's Cube Taxonomy
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3 .Results and Analysis
3.1 Distribution Pattern of ICH (Tourism) Resources
3.1.1 Characteristics of Dissemination Scope
Characteristics of Dissemination Extent The quantity of ICH resources exhibits significant disparities between municipal and county levels (Fig. 5). At the municipal level, a pattern emerges where mid-to-lower reaches show high numbers while upper reaches lag behind. Among these, cities in Shandong Province, Zhengzhou, and Weinan hold the greatest quantitative advantage, each exceeding 165 items. Cities in central-southern Shanxi and mid-reach cities like Xi'an demonstrate relatively strong performance, whereas upper-reach cities show weaker results. A deconstruction analysis of dissemination levels at the county level reveals that ICH resources are concentrated in 45 counties and districts rich in cultural heritage, such as those influenced by Qilu culture, Heluo culture, and southern Shanxi culture, as well as in 9 counties and districts with concentrated ethnic minority populations, such as those featuring Inner Mongolian grassland culture and the Hehuang-Longzhong culture. Each of these counties and districts possesses at least 27 ICH resources.
The weak quantitative alignment between municipal and county levels indicates that ICH resources have not transcended county boundaries to reach municipal units, particularly in ethnic minority regions where projects exhibit strong internal consistency (Fig. 6). In counties and districts such as Saihan District, Wushen Banner, and Duolun County in Inner Mongolia, ICH resources with ethnic characteristics—including folk customs, traditional crafts, and traditional sports—have not transcended county boundaries. These resources exhibit strong internal acceptance but have failed to form corresponding cultural zones in surrounding areas, circulating only within ethnic minority regions. In contrast, ICH projects within Shandong, the Fenhe River Valley, northern Henan, and the Xi'an-Weinan region exert relatively strong influence on their respective cities, forming distinctive cultural zones with robust comprehensive competitiveness.
Fig. 5
The Quantity of ICH in Urban and County Areas of YRB
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Fig. 6
Distribution Map of Different Types of ICH in Cities Along YRB
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3.1.2 Spatial Distribution Pattern
Spatial Distribution Pattern ICH resources in YRB exhibit a pronounced overall clustering trend, forming a cross-shaped structure with five core areas and two wings, oriented at a 30° angle (Fig. 7). Five core zones—Jinan-Zibo-Tai'an-Heze, Jiaozuo-Zhengzhou, Taiyuan-Jinzhong-Linfen-Yuncheng, Xi'an-Xianyang-Weinan, and Xining-Haidong—are clustered in the southeastern and eastern parts of the basin. One wing extends along the Fen River valley and Weihe River plain; the other wing stretches along the lower reaches of the Yellow River, forming linear clusters at the borders of Shanxi-Henan and Shandong-Henan, as well as within northern Shandong counties. These two wings intersect to form a cross-shaped structure with a 30° angle.
Fig. 7
Kernel Density Distribution of ICH at the County in YRB
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3.2.Assessment of Tourism Utilization Potential for ICH
Using the natural breakpoint method, the tourism utilization potential scores were categorized into five levels: low, lower, medium, higher, and high (Fig. 8). Overall, the spatial distribution of tourism utilization potential for ICH resources exhibits distinct “core-periphery” characteristics. The core areas are centered around provincial capital districts, counties belonging to historical and cultural cities, and ethnic minority settlements, while the periphery extends to provincial borders or cultural zone boundaries.
3.2.1.Overall Characteristics of Tourism Utilization Potential for ICH Resources.
Districts and counties with high (41) and relatively high (64) utilization potential are located in provincial and prefectural administrative centers, historical and cultural districts, and ethnic minority-concentrated areas. Those with moderate potential (154) are primarily distributed in agriculturally rich cultural regions, historical and cultural cities in North China, and ethnic minority-concentrated areas in Northwest China. Districts with low utilization potential (275) are situated on the peripheries of historical and cultural cities and ethnic minority settlements. Those with very low potential (204) are concentrated in sparsely populated areas such as the northwestern Yellow River basin, eastern Inner Mongolia, and mountainous regions within the basin.
3.2.2.Tourism Utilization Potential of ICH Resources by Dimension
Analyzed by dimension, the coefficient of variation for RE, TSC, and TES were 0.2723, 0.4602, and 0.1868 respectively, with TSC exhibiting the greatest regional variation. RE Advantage Zones (5 high-level and 107 relatively high-level) are located in the core cultural areas and peripheral zones of the eastern Yellow River Basin. Weak areas (228 low-level and 402 lower-level zones) are concentrated in eastern counties reliant on traditional energy, agriculture, and animal husbandry. TSC advantage zones (38 high-level and 37 higher-level zones) cluster in areas with high-quality, numerous museums and concentrated historical-cultural and traditional villages. Weakness Zones (212 low-level and 363 low-level areas) are regions rich in traditional villages but lacking TSC facilities, primarily focused on traditional animal husbandry and agriculture. TES Advantage Zones (46 high-level and 94 moderately high-level areas) are prefecture-level cities with higher administrative levels and ethnic minority settlements. Weak areas (124 low-level and 380 low-rated) are situated in mountainous regions with poorly adapted reception facilities and low transportation accessibility.
Fig. 8
Spatial Distribution of Tourism Utilization Potential and Its Dimensional Metrics for ICH Resources in YRB
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3.3 Influencing Factors and Their Spatial Heterogeneity
3.3.1 Identification of Dominant Factors and Interaction Detection Results
Geodetector analysis was applied to detect 25 factors (Table 1) and detect interactions (Fig. 9). Results indicate that ICH resource endowment determines the baseline potential for ICH tourism utilization, with tangible spatial carriers serving as key factors.
The spatial pattern of ICH resources in YRB is jointly constrained by resource endowment and spatial carriers, with interaction effects generally exceeding those of individual factors. Single-factor detection revealed that the overall q-value for spatial carriers (2.811) exceeded that for resource endowment (2.415), indicating higher explanatory power of spatial carriers for tourism utilization potential. The number of ICH sites (0.446), density (0.451), dominance (0.522), and maturity (0.474) significantly influence this potential. Museums conducting educational activities (0.461), traditional villages (0.366), historical and cultural towns (0.357), and historical and cultural cities (0.364) emerge as dominant spatial carrier factors, while road network density (0.388) is the primary external tourism support factor.
Interaction results revealed dual-factor enhancement or nonlinear enhancement, with no weakening relationships observed. The interaction between traditional villages and ICH quantity exhibited an over-explanatory power of 94.9%; ICH dominance and scenic area quality followed, explaining 84.9% of variance. In summary, the utilization potential of ICH tourism is shaped by the combined effects of multiple factors.
Table 1
Single-factor detection results
Dimensional
Factors
q value
sort
p value
 
Dimensional
Factors
q value
sort
p value
ICH Resource Endowment
X1
0.446
5
0.000
 
Tangible
Spatial
Carriers
X14
0.098
23
0.000
X2
0.451
4
0.000
 
X15
0.461
3
0.000
X3
0.293
12
0.000
 
X16
0.354
10
0.000
X4
0.229
13
0.000
 
Tourism External
Support
X17
0.142
17
0.000
X5
0.522
1
0.000
 
X18
0.050
24
0.000
X6
0.474
2
0.000
 
X19
0.388
6
0.000
Tangible Spatial
Carriers
X7
0.152
16
0.000
 
X20
0.101
21
0.000
X8
0.206
14
0.000
 
X21
0.046
25
0.000
X9
0.366
7
0.000
 
X22
0.100
22
0.000
X10
0.351
11
0.000
 
X23
0.153
15
0.000
X11
0.357
9
0.000
 
X24
0.134
18
0.000
X12
0.364
8
0.000
 
X25
0.134
19
0.000
X13
0.102
20
0.000
   
Fig. 9
Heatmap of Interaction Detection of Influencing Factors
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3.3.2. Model Comparison
Through multicollinearity testing and geographic detector factor screening, nine explanatory variables (X1, X2, X5, X9, X10, X12, X13, X15, and X19) with VIF values below 7.5 were selected. A higher residual sum of squares R² indicates better data fitting. The OLS model, GWR model, and MGWR model explained 61.2%, 63.0%, and 72.5% of the variance, respectively (Table 1). The MGWR model exhibited the largest difference between R² and adjusted R², indicating stronger significance between ICH resources across counties in YRB and various influencing factors. A lower AICc value indicates more accurate model fitting. The MGWR model (1241.138) more closely approximates the true spatial scale compared to the single bandwidths of the OLS model (4505.164) and GWR model (1367.061). The MGWR model demonstrates significantly superior fitting performance relative to the OLS and GWR models, making its application in this study more representative (Table. 2).
Table 2
Comparison of OLS Regression, GWR Regression, and MGWR Regression Results
Model Type
R2
AdjustedR2
AICc
OLS
0.617
0.612
4505.164
GWR
0.635
0.630
1367.061
MGWR
0.757
0.725
1241.138
3.3.3. Spatial Heterogeneity of Dominant Factors
A
The influence of dominant driving factors on the spatial distribution of ICH tourism resources exhibits significant spatial heterogeneity (Fig. 10). The results indicate that the utilization potential of ICH relies on high-quality carriers capable of integrating cultural, spatial, community, and industrial elements. Specifically, tourism leisure districts, historically and culturally famous cities, and educational activities organized by museums demonstrate a high intensity of impact on ICH tourism utilization potential.
In terms of RE, regions with high ICH density (X1) all exhibit positive effects. Low-effect areas include Shanxi and northern Shaanxi, with concentrated clusters in central Inner Mongolia. Shandong and western Gansu demonstrate strong positive effects. The eastern Yellow River basin is influenced by ICH density clusters, while the western region features concentrated ethnic minority populations with distinct cultural characteristics, indicating high ICH potential. ICH density (X2) exhibits a weak negative effect, observed only in Shandong and southern Shaanxi with negative coefficients approaching zero. High-density ICH resources have failed to translate into high-quality tourism appeal, suffering from severe product homogenization and commodification. Central Inner Mongolia, northern Shanxi, and southeastern Henan feature distinct ICH themes—nomadic culture and Central Plains agricultural culture—positioned respectively for the Beijing-Tianjin-Hebei source market and Henan's densely populated surrounding markets. Advantage (X5) exhibits a distinct west-high, southeast-low pattern. ICH in Inner Mongolia's counties and districts primarily consists of oral traditions and ritual activities, showing strong internal consistency and pronounced tourism seasonality. The western Yellow River basin's ICH demonstrates strong contextual relevance, with skills predominantly focused on refined crafts like handicrafts and traditional arts. Authenticity remains the core direction, resulting in low substitutability.
Regarding TSC, the positive effect of tourism and leisure districts (X9) is highly significant. Within Shandong Province, leisure districts exhibit the strongest impact, exceeding 0.703, with eastern counties (X46) reaching as high as 0.734. The Qilu Culture National Cultural Ecological Conservation Area provides a systematic safeguarding system for modern ICH displays, with high innovation in cultural tourism formats. High-value zones for traditional villages (X10) are concentrated in 30 counties in central Inner Mongolia and northern Shaanxi, while secondary high-value zones span 170 counties in Shanxi and northwestern Henan. These high-value areas lie within cultural borderlands where farming and nomadic civilizations have long interacted and integrated, featuring high densities of distinctive ICH that unify the region's overall narrative. Additionally, scenic areas in Shanxi Province are dispersed, with traditional villages widely distributed across the province. The road network enhances accessibility to various scenic areas while amplifying the influence of traditional villages along the routes on tourism utilization potential. High-value zones for historical and cultural towns (X12) are located in 29 counties in northwest Henan, Jincheng, Shanxi, and 4 counties in western Gansu, with secondary high-value zones in Shaanxi, Inner Mongolia, Gansu, and 248 counties in western Qinghai. Northern Henan, as the core zone of the Central Plains cultural region, borders the Central Plains and Guanzhong urban clusters, offering an advantageous ICH market. Shaanxi bridges distinctive nomadic cultures with the Central Plains cultural sphere, though the tourism appeal of its ICH skills remains constrained. The western Yellow River basin possesses a unique cultural context with high market appeal for ICH. The positive effect zone for historical and cultural cities (X13) is concentrated in the core area of the Guanzhong urban cluster and 66 counties along the eastern and northern edges of the Hexi Corridor bordering Inner Mongolia. The Guanzhong urban cluster belongs to the core Guanzhong cultural zone and a high-empowerment area for ICH tourism development. The Hexi Corridor and Inner Mongolia border region represent a typical zone of multicultural integration and cultural irreplaceability. Historical and cultural cities integrate ICH tourism resources with cultural distinctiveness and uniqueness, exerting a significant influence on the tourism utilization potential of ICH resources, reaching 0.982. The high-value zone for the number of educational activities conducted by museums (X15) is concentrated in 69 counties in central Shandong, reaching 0.749. Secondary peaks are observed across Henan Province, 35 counties in northwestern Shanxi, and 15 counties in Inner Mongolia. Shandong and Henan are rich in ICH resources, primarily featuring highly visual and experiential types such as traditional crafts, fine arts, and folk arts. They lead nationally in cultural industry innovation and transformation, making it easier to develop systematic educational products. Northern Shanxi has relatively fewer renowned tourist attractions, making high-level museum educational activities a core draw for tourism. Inner Mongolia's concentrated ethnic cultures provide opportunities to showcase regional heritage to visitors from distant regions.
Click here to download actual image
Regarding TES, road network density (X19) consistently falls within the low positive effect zone, with the highest values concentrated at the junction of Shanxi, Shaanxi, and Henan provinces. This region belongs to the Jin-Shanxi Yellow River Cultural Zone, characterized by low economic development levels where ICH tourism relies on primary transportation modes such as traditional roads. In eastern Shandong, the density of ICH sites benefits from extensive coverage and high efficiency of the primary road network.
Figure 10. Impact level of driving factors for tourism utilization potential
3.4 Zoning for Utilization Potential of ICH Tourism
Using the three-dimensional cube classification method, resource endowments, spatial carriers, and external support were categorized into 64 classifications (Table 3).
A
Priority Core Zone (Fig. 11-b). This category includes seven districts and counties: Longting District, Lixia District, Yangcheng County, Zezhou County, Yingze District, Xinfu District, and Yanta District. All three scores for this type are high, or two scores are high with the third being relatively high.
Key Development Zone (Fig. 11-c). This category includes 45 districts and counties such as Licheng District, Pingyao County, and Yushu City, primarily comprising cities with higher local administrative levels. Resource, carrier, and support dimensions are all relatively high, or two are high while the third is lower.
Characteristic Synergistic Zone (Fig. 11-c). These include 74 districts and counties such as Maqin County, Huzhu Tu Autonomous County, and Gaoling District, primarily distributed in areas with distinctive ICH resources. This category exhibits high or relatively high levels in two dimensions but a low level in one dimension, which becomes a constraint on the integrated development of ICH resources and tourism. It can be regarded as a dual-dimension advantage-single-dimension weakness zone.
Dedicated Allocation Zone (Fig. 11-d). This includes 77 counties and districts such as Jingchuan County, Saihan District, and Qufu City, distributed across ICH resource areas, tourism development zones, and other cultural/administrative regions. One dimension is high or relatively high, while the other two are low, characterizing it as a single-strength-dual-weakness zone.
Steady-State Zone (Fig. 11-e). This includes 249 counties and districts such as Alxa Left Banner, Hongtong County, and Shenmu City, widely distributed across the transitional zones of nomadic and Central Plains agricultural cultures, resource-based regions, and border towns. They are scattered across areas of varying administrative levels and cultural attributes. This category exhibits only one dimension at a high or relatively high level, while the other two dimensions are at low or relatively low levels. Its overall development foundation is uneven with pronounced weaknesses, characterizing it as a single-dimension advantage-dual-dimension weak foundation zone.
Emerging Potential Zone (Fig. 11-f). This category includes 284 districts and counties such as Weidong District, Duolun County, and Yichuan County. They are primarily distributed in remote counties in central and western regions, traditional agricultural clusters, and ecologically protected priority areas, with the highest concentration in grassroots districts and counties characterized by lower administrative levels and relatively weak economic foundations. All areas in this category are at low or relatively low levels, or at least two dimensions are at low or relatively low levels. They can be regarded as multi-dimensional deficit-potential reserve zones.
Table 3
Regional Analysis of Tourism Utilization Potential for ICH in YRB
Name
County and Quantity
3D Cube Unit Combination
Characteristics
Priority Core Zone
Longting, Lixia, Yangcheng, and 4 other units
(4,4,4)(4,4,3)(4,3,4)(3,4,4)
RE, TSC, and TES all demonstrate relatively high levels or relatively high .
Key Development Zone
Licheng, Pingyao, Yushu, and 42 other units
(4,4,2)(4,3,3)(4,3,2)(4,2,4)(4,2,3)(3,4,3)(3,4,2)(3,3,4)
RE, TSC, and TES are all at a relatively high level, or two of them are at a relatively high level while one is at a relatively low level.
(3,3,3)(3,3,2)(3,2,3)(3,2,4)(2,4,4)(2,4,3)(2,3,3) (2,3,4)
Characteristic Synergistic Zone
Maqên, Huzhu Tu Autonomous, Gaoling, and 71 other units
(1,3,3)(1,3,4)(1,4,3)(1,4,4)(3,1,3)(3,1,4)
RE, TSC, and TES: two are at high or relatively high levels, one is at a low level.
(3,3,1)(3,4,1)(4,1,3)(4,1,4)(4,3,1)(4,4,1)
Dedicated Allocation Zone
Jingchuan, Saihan, Qufu, and 74 other units
(2,2,3)(2,2,4)(2,3,2)(2,4,2)(3,2,2)(4,2,2)
One of RE, TSC, or TES is at a high or relatively high level, while the other two are at a relatively low level.
Steady-State Zone
Alxa Left Banner, Hongtong, Shenmu, and 246 other units
(1,2,3)(1,2,4)(1,3,2)(1,4,2)(2,1,3)(2,1,4)
One of RE, TSC, or TES is at a high or relatively high level, while the other two are at a low or relatively low level.
(2,3,1)(2,4,1)(3,1,2)(3,2,1)(4,1,2)(4,2,1)
Emerging Potential Zone
Weidong, Duolun, Yichuan, and 281 other units
(1,1,1)(1,1,2)(1,1,3)(1,1,4)(1,2,1)(1,2,2)(1,2,3)(1,2,4)(1,3,1)
RE, TSC, and TES are all at low or very low levels, or two of them are at low or very low levels, indicating significant constraints.
(1,3,2)(1,4,1)(1,4,2)(2,1,1)(2,1,2)(2,1,3)(2,1,4)(2,2,1)(2,2,2)
(2,3,1)(2,4,1)(3,1,1)(3,1,2)(3,2,1)(4,1,1)(4,1,2)(4,2,1)
Figure 11. Assessment and Zoning of Tourism Utilization Potential for ICH
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4. Discussion and Conclusions
4.1. Multidimensional Characteristics of ICH Resources as Tourism Assets
This study conducts a quantitative analysis of ICH tourism resources, examining four dimensions: temporal evolution, typological distribution, geographical patterns, and scope of dissemination. In contrast to prior studies limited to national-level ICH projects, single categories, or small-scale regions58, this research encompasses multiple provinces and a large-scale ICH dataset, yielding more granular insights:
Regarding dissemination scope, the analysis addresses the spatial scale mismatch observed in studies of the Grand Canal58 (which noted disparities between city and county levels). By extending into both grassland nomadic and Central Plains agricultural cultural zones, this study elucidates how constraints related to cultural zone compatibility influence the dissemination dynamics of ICH resources.
Spatially, ICH resources exhibit a cross-shaped structure oriented at a 30-degree angle, characterized by "five core areas and two wing zones." This spatial pattern is consistent with Nie's findings59 on national-level ICH in YRB. The present study further refines this model by incorporating provincial-level ICH resources—which demonstrate greater diversity and local specificity—revealing a more precise triangular spatial distribution pattern also based on a 30-degree angular framework. This refinement facilitates the precise identification of county-level ICH resource development corridors.
4.2. Driving Mechanisms of ICH Tourism Resource Utilization Potential Distribution
This study innovatively incorporates tangible carriers into the evaluation system for ICH tourism utilization potential, explicitly addressing the conversion process from intangible ICH to tangible tourism products. This approach moves beyond the traditional perspective focused solely on tourism development support36, offering a new research direction for fostering the authenticity and vitality of ICH tourism. The findings indicate that tangible spatial carriers exert the most significant influence on ICH tourism utilization potential, with educational activities conducted by museums and historically and culturally famous cities identified as the dominant factors.This research validates the importance of digital preservation in institutions like museums for the protection and development of ICH45. Supporting this, research by Kibela53 indicates that long-distance tourists often visit city museums first to understand its cultural heritage, corroborating this study's finding that museum-based educational activities promote the development of tourism formats.The influence of historically and culturally famous cities on ICH tourism utilization potential is notably high (0.982). These authentic settings provide essential context and scenarios for ICH transmission 29, confirming their capacity to generate significant tourism economic added value60.Tourism leisure districts, through spatial restructuring, production, and stylistic transformation, significantly enhance tourists' perception of local cultural heritage 61. In this study, their influence on tourism utilization potential is also substantial (0.734), validating Ruan's62 assertion that such districts serve as an ideal platform for multiple stakeholders to achieve a healthy conversion of cultural value into economic value.
4.3. Zoning Strategies for the Utilization Potential of ICH Resources in YRB
4.3.1. Priority Core Zone
These zones serve as the core leading areas for ICH tourism development in YRB. Leveraging their high administrative status, they should utilize technological empowerment to attract innovative tourism talents63, strengthen innovations in tourism experiential formats such as e-tourism33 and virtual experiences64, and enhance the leading role of smart ICH tourism formats. By linking surrounding cultural areas, they should cultivate competitive comprehensive cultural zones and employ new media to disseminate the influence of trendy ICH culture13,57. The goal is to establish a replicable and promotable model for integrated heritage-tourism development.
4.3.2.Key Development Zone
As focal areas for enhancing growing ICH tourism resources, these zones should leverage the coordinated efficiency of local administrative bodies37. Efforts should focus on strengthening the training of inheritors within historical-cultural subzones and ethnic enclaves, reinforcing the professional nature of transmission10. Living heritage tourism experiences should be enhanced within historical-cultural spaces and museums to extend the suitable tourism period and tourism product chains22. New media should be used to explore and segment potential tourist sources for ICH experiences38. Targeted improvements should address deficient dimensions, and tourism infrastructure and service standardization systems should be perfected.
4.3.3.Characteristic Synergistic Zone
The core orientation here is shaping distinctive ICH tourism features. In ethnic enclaves and historical-cultural subzones, the cultural distinctiveness of ICH resources should be strengthened25, along with fostering community belonging and tourist attachment65. ICH displays in cultural carriers such as museums and leisure tourism districts should be increased, and innovative science popularization activities for ICH skills should be developed66 to improve the compatibility between ICH resources and cultural transmission spaces. Diverse recreational infrastructure should be enhanced to extend tourist stays and increase consumption. Building on dual-dimensional advantages, iconic ICH tourism products should be created to highlight distinctiveness while optimizing weaker aspects.
4.3.4. Dedicated Allocation Zone
Resources should be concentrated to build differentiated highlight advantages in ICH tourism, pursuing breakthrough development at specific points. The participatory role of grassroots communities should be utilized to create localized contexts for ICH experiences within historical-cultural spaces and traditional villages27. Tourism transportation infrastructure should be improved to enhance the spatial accessibility of ICH-rich ethnic minority areas and connect fragmented cultural spaces67 In-depth exploration of highly participatory and experiential ICH skills, such as handicrafts and folk customs, should be conducted to facilitate a developmental leap from single-point advantages to multi-point synergy.
4.3.5. Steady-State Zone
Development pathways should be constructed based on single-dimensional advantages, extracting regional cultural identifiers for ICH resources from multicultural belts. Efforts should focus on promoting applications for ICH projects at various levels and establishing special funds to build safeguarding mechanisms for living transmission8. Accelerating the enhancement of digital archiving, using modern means like audio and video recording to preserve ICH culture24, is crucial. Projects to address deficiencies in recreational infrastructure should be implemented, and tourism service support facilities should be upgraded.
4.3.6.Emerging Potential Zone
As reserve areas for ICH tourism utilization potential, the core principle is long-term cultivation. Administrative grassroots units should lead preliminary projects for revitalizing ICH resources, initiating systematic surveys and rescue protection as soon as possible. For ethnic enclaves and traditional agricultural subzones, emphasis should be placed on implementing inherent authenticity protection and localized transmission of ICH resources.
4.4. Conclusion
This study, focusing on 736 county-level units within YRB and utilizing panel data for these counties alongside national and provincial-level ICH resource data, measured the tourism utilization potential of ICH, investigated its spatial differentiation mechanisms, and identified zoning strategies for tourism development. The research findings indicate:
1.Within the Yellow River Basin, ICH resources exhibit a "five-core, two-wing" spatial structure with a 30-degree angular configuration among cultural zones. Among these, regions with distinctive ethnic characteristics demonstrate strong internal consistency in their ICH resources, forming highly cohesive cultural zones. Conversely, areas with profound cultural heritage give rise to comprehensive cultural zones.
2..The tourism utilization potential of ICH in YRB is unevenly distributed with significant internal disparities, performing exceptionally well in areas with higher administrative status, historically and culturally famous cities, and ethnic enclaves. Counties and districts with high and relatively high utilization potential are primarily concentrated in administrative centers, historically famous urban districts, and ethnic enclaves. Those with medium potential are widely distributed across the Central Plains cultural zone, historically famous cities in North China, and ethnic enclaves in the Northwest. Areas with relatively low and low potential cover extensive territories, located on the peripheries of historically famous cities and ethnic enclaves.
1.
3.The tourism utilization potential in YRB is influenced by three dimensions: RE, TSC, and TES, with TSC exerting the strongest effect. TSC demonstrates the highest coefficient of spatial variation regarding tourism utilization potential (0.4602). Historically and culturally famous cities (98.2%), educational activities conducted by museums (74.9%), and tourism leisure districts (73.4%) show the most substantial influence intensity. High-value zones of influence for historically and culturally famous cities are formed by the Guanzhong Urban Agglomeration and the Hexi Corridor Town Cluster, while Shandong and Henan provinces constitute high-value zones for the influence of museum educational activities and tourism leisure districts.
2.
4.Different optimal intervention and adaptation strategies are required for the optimized zoning of ICH tourism utilization potential.Priority Core Zone(e.g., Longting, Lixia, Yangcheng;7 units) should focus on extending tourist experiential engagement through technological empowerment and enhancing competitiveness by linking surrounding cultural zones; Key Development Zone(e.g., Licheng, Pingyao, Yushu;45 units) should prioritize coordinated efforts by administrative bodies, strengthen the protection of spatial carriers, and implement targeted improvements to address deficiencies; Characteristic Synergistic Zone (e.g., Maqên, Huzhu Tu, Gaoling;74 units) should concentrate on shaping distinctive advantages, enhancing tourist experience, and creating iconic tourism products by leveraging dual-dimensional strengths; Dedicated Allocation Zone (e.g., Jingchuan, Saihan, Qufu ; 77 units) should aim to build differentiated regional highlight advantages; Steady-State Zone (e.g., Alxa Left Banner, Hongtong, Shenmu ; 249 units) should pursue breakthrough development based on single-dimensional advantages, connect fragmented cultural spaces, and delve deeply into cultural connotations; Emerging Potential Zone(e.g., Weidong, Duolun, Yichuan; 284 units) should adhere to the core principle of long-term cultivation, with grassroots units taking the lead in excavating ICH resources and implementing rescue protection.
4.5. Limitations and Future Research Directions
This study acknowledges the fundamental intangible nature of ICH and recognizes certain limitations in the constructed evaluation framework for assessing ICH tourism utilization potential. Firstly, regarding the selection of indicators, constrained by data availability, the currently disclosed 6,841 national and provincial-level ICH projects lack a unified information database on inheritors. Consequently, proxies such as traditional villages, and historically and culturally famous villages, towns, and cities within ICH cultural zones were utilized. Future research could incorporate data from tourism resource surveys to delve deeper into inheritor information and integrate it into the evaluation index system. Secondly, concerning the detection of driving mechanisms, the study has yet to explore analytical methods capable of uncovering more interactive and cumulative effects among factors. Investigating the spatial fitting dimension represents a key focus for breakthroughs in future research.
Abbreviations
The following abbreviations are used in this manuscript:
ICH
Intangible Cultural Heritage
YEB
The Yellow River Basin
RS
Resource Endowment
LD
Tangible Spatial Carriers
TES
Tourism External Support
A
Funding :
2024 Postgraduate Research Innovation Project of Shanxi Normal University(2024XSY45)
Informed Consent
Statement: Not applicable.
Institutional Review Board Statement: Not applicable.
Author Contributions:Lei KANG led the conceptualization, design, and development of the research on ICH tourism potential, and oversaw the entire research process. Meirong Wang was responsible for and completed participant data collection and result analysis, and drafted the initial manuscript. Jinyuan Zhang assisted in proofreading and editing the manuscript, provided critical feedback on the methodology, participated in co-supervising the research, and reviewed the manuscript. In addition, Yuyu Di and Haoran Qin participated in data analysis and statistical validation, contributing to data interpretation. Finally, we sincerely thank all authors for their careful review and approval of the final manuscript.
A
Data Availability
The datasets used and analysed during the current study available from the corresponding author on reasonable request.
Conflicts of Interest:
The authors declare no conflict of interest.
A
Author Contribution
Lei KANG led the conceptualization, design, and development of the research on ICH tourism potential, and oversaw the entire research process. Meirong Wang was responsible for and completed participant data collection and result analysis, and drafted the initial manuscript. Jinyuan Zhang assisted in proofreading and editing the manuscript, provided critical feedback on the methodology, participated in co-supervising the research, and reviewed the manuscript. In addition, Yuyu Di and Haoran Qin participated in data analysis and statistical validation, contributing to data interpretation. Finally, we sincerely thank all authors for their careful review and approval of the final manuscript.
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Appendix
Table B
Data Sources and Indicator Meanings
Name
Source
Indicator Description
Road Network Density
OpenStreetMap (https://www.openstreetmap.org/), collated data
Higher road network density fosters frequent exchanges, influencing the cultural transmission capacity and diversity of ICH resources.
Traditional Villages
Lists of the 1st to 5th batches of Traditional Chinese Villages, and the 1st to 7th batches of Historically and Culturally Famous Villages, Towns, and Cities, published by the Department of Village and Town Construction, Ministry of Housing and Urban-Rural Development.
Important spatial carriers for ICH resources, preserving a wealth of tangible and ICH related to ICH.
Historically and Culturally Famous Villages, Towns, and Cities
A-Rated Tourist Attractions
Official websites of the Ministry of Culture and Tourism and respective provincial (autonomous regional, municipal) culture and tourism departments.
Important platforms for displaying and developing ICH tourism, influencing the dissemination methods and commercialization level of ICH resources.
Number of Museums
National Museum Directory 2019 published by the National Cultural Heritage Administration.
Museums serve as crucial venues for the materialized display and education of ICH. A higher number indicates stronger capacity for ICH display and dissemination.
National Tourism Leisure Districts
Tourism districts often host ICH display and sales points, serving as important spaces for revitalizing ICH resources.
Number of Catering Establishments
(See source for Tourism Leisure Districts – Amap big data crawl)
Reflect tourism reception capacity, impacting ICH tourism development and visitor experience, thereby indirectly influencing the economic value transformation of ICH resources.
Number of Star-Rated Hotels
Digital China Index
Digital China Index Report (2020) jointly released by Tencent Research Institute and Tencent Cloud.
Employs quantifiable, networkable, and interactive data to measure the digital vitality of ICH resources.
Number of Strongly Connected Cities
"2020 City Commercial Attractiveness Ranking" released by the Yicai Research Institute·New First-Tier Cities Research.
The strength of inter-city connections influences the dissemination scope and speed of ICH culture.
Population Density
China County Statistical Yearbook (Township Volume), provincial statistical yearbooks, China Tourism Statistical Yearbook, county-level statistical bulletins on national economic and social development (collated data).
Population Density: Determines the potential base of inheritors and audience.
GDP per Capita
GDP per Capita: Affects investment in productive conservation of ICH and the consumer market scale.
Urbanization Rate
Urbanization Rate: Varies significantly across Yellow River basin counties, directly impacting ICH transmission capacity and diversity.
Table B
Data Sources and Indicator Meanings
Objective
Dimension Level
Criterion Level
No.
Dimension Level
Weight
Indicator Description
Tourism
Utilization
Potential
of ICH
Resources
ICH Resource
Endowment
Status
ICH Resource
Quantity and
Density
X1
Number of National and Provincial-level Representative ICH Projects
0.0194
———
X2
Density of National and Provincial-level Representative ICH Projects
0.0374
Number of National-level Representative ICH Projects / Urban Area
ICH Resource
Types and
Structure
X3
Number of Categories of National and Provincial-level Representative ICH Projects
0.0096
———
X4
Diversity Index of National and Provincial-level Representative ICH Projects
0.0102
Calculation is based on the Shannon-Wiener Index from ecology for analyzing biodiversity. Formula: H = -Σ(Pi lnPi), where Pi is the proportion of ICH resources in the i-th category to the total across all categories, and S is the total number of categories.
ICH Resource
Value
X5
Type Dominance of National and Provincial-level Representative ICH Projects
0.0201
Dominance = (Number of performing arts and handicraft ICH resources × 1/2) + (Number of folk custom and festival ICH resources × 3/365)
X6
Maturity of Representative ICH Projects
0.0453
Maturity is calculated using weights determined by subtracting each batch's selection year from 2022. Formula: Maturity = (Batch 1 × 16) + (Batch 2 × 14) + (Batch 3 × 11) + (Batch 4 × 8) + (Batch 5 × 1)
Tangible Spatial
Carriers for ICH
Resources
Tourist
Attractions
X7
Number of A-Rated Tourist Attractions within the County
0.0235
———
X8
Quality of A-Rated Tourist Attractions within the County
0.0236
Existing research often uses the number of A-rated attractions at each level multiplied by a weight. Formula: Quality = (Number of 5A attractions × 5) + (4A × 4) + (3A × 3) + (2A × 2) + (1A × 1)
X9
Number of National Tourism Leisure Districts within the County
0.0601
———
Traditional Villages,
Historic and Cultural
Areas
X10
Number of Traditional Villages within the County
0.0815
———
X11
Number of Historically and Culturally Famous Villages within the County
0.0982
———
X12
Number of Historically and Culturally Famous Towns within the County
0.1428
———
X13
Number of Historically and Culturally Famous Cities within the County
0.0329
———
Museums
X14
Number of Museums within the County
0.0061
———
X15
Number of Educational Activities Conducted by Museums within the County
0.0628
———
X16
Quality of Museums within the County
0.1437
Reference is made to the "Museum Rating and Evaluation Standards" by the National Cultural Heritage Administration, where Tier 1, 2, and 3 museums score 800, 600, and 400 points respectively. Formula: Museum Quality = (Tier 1 × 4) + (Tier 2 × 3) + (Tier 3 × 2) + (Unrated × 1)
External Support
for ICH Tourism
Tourism Development
Level
X17
Number of Domestic and International Tourist Visits
0.0217
———
X18
Potential Tourist Volume
0.0453
———
Tourism Supporting
Services
X19
Road Network Density
0.0276
———
X20
Number of Catering Establishments
0.0194
———
X21
Quality of Star-Rated Hotels
0.0258
Following the calculation method for A-rated attraction quality. Formula: Quality = (Number of 5-star hotels × 5) + (4-star × 4) + (3-star × 3) + (2-star × 2) + (1-star × 1)
Economic and Social
Foundation
X22
Number of Strongly Connected Cities
0.0057
———
X23
Digital China Index
0.0176
———
X24
GDP per Capita
0.0138
———
X25
Urbanization Rate
0.0061
———
* All the indicators mentioned above are positive indicators.
Total words in MS: 8380
Total words in Title: 20
Total words in Abstract: 130
Total Keyword count: 5
Total Images in MS: 9
Total Tables in MS: 6
Total Reference count: 67