|
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
|
|||||||
|
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
|
|
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)
|
|
ICH
|
Intangible Cultural Heritage
|
|---|---|
|
YEB
|
The Yellow River Basin
|
|
RS
|
Resource Endowment
|
|
LD
|
Tangible Spatial Carriers
|
|
TES
|
Tourism External Support
|
|
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.
|
|
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
|
———
|