| 摘要: |
| 分析非物质文化遗产资源的空间分
异特征并识别其影响因素，对非物质文化遗
产保护传承和开发利用具有重要意义。以藏
羌彝走廊为研究区，在广泛搜集国家级、省
级非遗项目及传承人数据的基础上分析其数
量、结构及空间分布特征，构建非遗资源丰
度指数评估各县级行政区非遗资源水平并通
过空间自相关分析探讨其空间格局特征，利
用地理加权回归模型（GWR）识别非遗资源
水平的影响因子及其空间异质性。结果表
明：第一，藏羌彝走廊非遗项目与传承人数
量众多，十大非遗门类中传统舞蹈、传统音
乐和传统技艺占据独特优势，主要分布在各
市（州）首府所在地及其周边地区。第二，
藏羌彝走廊非遗资源水平呈现“一极（拉萨
市城关区）多高（昌都市卡若区、迪庆州香
格里拉市、阿坝州汶川县、阿坝州茂县、黄
南州同仁市）”的空间格局，非遗资源丰度
指数高值区与低值区相互嵌套。第三，路网
密度、城镇化率、坡度、少数民族人口比重
对藏羌彝走廊非遗资源水平具有显著的正向
促进作用，其中路网密度、城镇化率、少数
民族人口占比三个影响因子解释力由东向西
递增，坡度的影响力由南向北递增。 |
| 关键词: 非物质文化遗产 藏羌彝走廊 空
间格局 影响机制 地理加权回归模型 |
| DOI：10.13791/j.cnki.hsfwest.20241107001 |
| 分类号: |
| 基金项目:教育部人文社会科学研究项目（23XJC850002）；四川省高等学校人文社会科学重点研究基地青藏高原及其东缘人文地理研究中心开放课题（RWDL2022-
ZD003） |
|
| Spatial pattern and influence factors of intangible cultural heritage resources in Zang-Qiang-Yi national culture corridors |
|
WU Boqing,ZHAO Canwen,ZHANG Yang,LUO Xinran
|
| Abstract: |
| Intangible cultural heritage is characterized by distinct features such as dynamism, folkloric
nature, and regional specificity. Compared with tangible cultural heritage, its protection, inheritance,
and innovative utilization involve greater complexity. Analyzing the spatial differentiation
characteristics of intangible cultural heritage resources and identifying their influencing factors hold
significant importance for the preservation, transmission, and sustainable development of these
cultural assets. The Zang-Qiang-Yi Corridor, one of China’s five major ethnic corridors, exhibits
complex geographical conditions and high cultural diversity. This region demonstrates strong
representativeness for research on the evaluation of intangible cultural heritage resources. This study
focuses on the Zang-Qiang-Yi Corridor as the research area. Based on extensive collection of national
and provincial-level intangible cultural heritage items and inheritor data, the study analyzes their
quantity, categories, and spatial distribution characteristics. The findings reveal that inheritors and
heritage items exhibit highly similar distribution patterns, with core distribution areas being
predominantly the central cities within the region. To further investigate the spatial distribution
patterns and influencing mechanisms in this region, this study constructs an intangible cultural
heritage resource abundance index using four indicators: the number of national and provincial-level
intangible cultural heritage items and inheritors. Based on this index, the intangible cultural heritage
resource levels of county-level administrative divisions are evaluated. Subsequently, spatial
autocorrelation analysis is employed to explore the characteristics of spatial distribution patterns.
Additionally, a geographically weighted regression (GWR) model is applied to identify the
influencing factors of intangible cultural heritage resource levels and their spatial heterogeneity.The
research findings are as follows. 1) The Zang-Qiang-Yi Corridor boasts a substantial number of
intangible cultural heritage items and inheritors, with a structural composition of intangible cultural
heritage resources similar to national patterns. Among the ten major intangible cultural heritage
categories, traditional dance, traditional music, and traditional craftsmanship exhibit distinct
dominance, while categories such as quyi (Chinese folk performing arts) and folk entertainment and
acrobatics have significantly fewer inheritors and items. 2) The evaluation results of the constructed
intangible cultural heritage resource abundance index were imported into ArcGIS 10.2 for spatial
analysis. The spatial distribution of intangible cultural heritage resource levels in the Zang-Qiang-Yi
Corridor exhibits a pattern characterized by “one core (Chengguan District, Lhasa City) and multiple
high-value clusters” (including Karuo District, Qamdo City; Shangri-La City, Diqing Prefecture;
Wenchuan County and Maoxian County, Aba Prefecture; and Tongren City, Huangnan Prefecture).
High-value and low-value areas of the intangible cultural heritage resource abundance index are
spatially interwoven. Further global spatial autocorrelation analysis of the intangible cultural heritage
resource abundance index yielded a Moran’s I index of -0.0933, which passed the significance test atthe 0.1 confidence level. This indicates a negative spatial correlation in the distribution of intangible cultural heritage resource abundance across the corridor.
Specifically, areas with higher intangible cultural heritage resource levels tend to neighbor areas with lower levels, and vice versa. 3) Drawing on previous
studies, nine indicators were selected from natural and cultural dimensions: annual average temperature, annual precipitation, average slope gradient, average
elevation, river network density, road network density, GDP, proportion of ethnic minority population, urbanization rate, and number of traditional villages.
Among these, four factors showed significant impacts. Road network density, urbanization rate, slope gradient, and proportion of ethnic minority population
exhibited significant positive influences on the intangible cultural heritage resource levels in the Zang-Qiang-Yi Corridor. The explanatory power of road
network density, urbanization rate, and ethnic minority population proportion increases from east to west across the corridor. In contrast, the influence of slope
gradient diverges from prior studies, showing an increase from south to north. This anomaly is attributed to the region’s unique geographical conditions, which
have historically fixed ethnic settlement patterns, thereby shaping the spatial distribution of intangible cultural heritage. Compared to previous studies that
predominantly focused on the types and quantities of intangible cultural heritage items as core evaluation criteria while inadequately addressing the role of
inheritors, this study constructs an intangible cultural heritage resource abundance index by integrating national and provincial-level intangible cultural heritage
items and inheritor data, aiming to enhance the evaluation framework for intangible cultural heritage resource assessment. However, this research also has
limitations. The analysis of factors influencing intangible cultural heritage resource levels lacks a temporal dimension, limiting insights into dynamic changes
over time. The other is among influencing factors—such as how natural and cultural variables jointly shape spatial patterns—remain unexplored. These
limitations will be systematically addressed and refined in subsequent research phases. |
| Key words: intangible culture heritage Zang-Qiang-Yi national cultural corridors spatial configuration influence factor GWR model |
