乡村振兴视域下非遗文化遗产西和麻纸制作技艺传承创新
From the Perspective of Rural Revitalization the Inheritance and Innovation of Intangible Cultural Heritage Xihe Hemp Paper Making Techniques
牛锦蓉 1杨艳 1李坤1
作者信息
- 1. 西安外事学院,陕西 西安,710077
- 折叠
摘要
西和麻纸制作工艺是我国造纸的源头,为整个人类文化的演化与进步做出了卓越的贡献.这种纸张的制作工艺十分精深,彰显出中华民族的智慧.通过时间的流变,这类纸张俨然成为华夏文明的一种"活化石".西和麻纸的制作工艺即便是到了今天,给人类持续发展也带来相应的启迪作用,因此更需要对其进行积极保护,促使其获得发展.基于此,将西和麻纸工艺作为研究对象,通过具体调研,并基于文化、经济等层面,剖析对其进行弘扬与发展的途径,从而为乡村经济、文化的持续、健康发展提供重要的驱动力.在具体实践环节,需要采用大力融合文化遗产与自然资源、推动乡村旅游发展、打造知名品牌等举措,传承与发展非遗文化,使之与市场环境有着更高的契合性,从而促进社会与经济效益的显著提升.
Abstract
For Xihe hemp paper production technology,it is the source of papermaking in China and has made outstanding contributions to the evolution and progress of human culture as a whole.The production process of this type of paper is very profound,highlighting the greatness and wisdom of the Chinese nation.Through the passage of time,this type of paper has become a living fossil of Chinese civilization.The production process of Xihe hemp paper,even today,has brought corresponding enlightenment to human sustainable development,so it is even more necessary to actively protect and develop it.This time,the Xihe hemp paper craft will be taken as the object,and through specific research and analysis based on cultural,economic and other aspects,the ways to promote and develop it will be analyzed,in order to provide important driving forces for the sustained and healthy development of rural economy and culture.In the specific practical stage,it is necessary to vigorously integrate cultural heritage and natural resources,promote the development of rural tourism,build well-known brands and other measures,in order to inherit and develop intangible cultural heritage,make it more compatible with the market environment,and promote significant improvement in social and economic benefits.
关键词
西和麻纸/乡村振兴/非遗文化遗产/制作技艺/传承创新Key words
Xihe hemp paper/rural revitalization/intangible cultural heritage/manufacturing skills/inheritance and innovation引用本文复制引用
基金项目
2024年度陕西省哲学社会科学研究专项青年项目(2024QN319)
出版年
2024
NETL
NSTL
万方数据