Research on the Factors Influencing the Value of NFT Digital Content Works

Reasonably evaluating the value of NFT digital content works is of great significance for regulating NFT service platform transactions, expanding cultural dissemination channels, and promoting the development of the digital cultural industry. First, the study proposes the value influencing factors of NFT digital content works based on the value chain theory, and constructs the value assessment index system accordingly. Then, the historical transaction data of NFT are collected and empirical analysis is carried out by applying multiple linear regression, K-neighborhood algorithm and BP neural network model respectively. The research results found that cost, copyright, and market are the main factors affecting the value of NFT digital content works. Compared with linear models, nonlinear models are more applicable for evaluating the value of NFT digital content works. Exploring non-linear models that balance accuracy and interpretability is one of the important directions for evaluating the value of NFT digital content works.

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Publication Details

Journal
Journal of Applied Economics and Policy Studies
Published
2024-12-13
DOI
https://doi.org/10.54254/2977-5701/2024.18461
Primary Topic
Cultural Industries and Urban Development
Type
article
Field-Weighted Citation Impact
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article

Research on the Factors Influencing the Value of NFT Digital Content Works

Yudong Gao, Xie Xue-mei
Journal of Applied Economics and Policy Studies
Cultural Industries and Urban Development
article

Research on the Factors Influencing the Value of NFT Digital Content Works

Yudong Gao, Xie Xue-mei
article en

Abstract

Reasonably evaluating the value of NFT digital content works is of great significance for regulating NFT service platform transactions, expanding cultural dissemination channels, and promoting the development of the digital cultural industry. First, the study proposes the value influencing factors of NFT digital content works based on the value chain theory, and constructs the value assessment index system accordingly. Then, the historical transaction data of NFT are collected and empirical analysis is carried out by applying multiple linear regression, K-neighborhood algorithm and BP neural network model respectively. The research results found that cost, copyright, and market are the main factors affecting the value of NFT digital content works. Compared with linear models, nonlinear models are more applicable for evaluating the value of NFT digital content works. Exploring non-linear models that balance accuracy and interpretability is one of the important directions for evaluating the value of NFT digital content works.

Journal of Applied Economics and Policy StudiesVol. 14(1)
Beijing University of Posts and Telecommunications (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 61%
Cultural Industries and Urban Development
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