图书馆众筹绩效影响因素的实证分析--基于有序多分类Logistic回归分析

Empirical Analysis of Influencing Factors of Crowd-funding Performance of Library: Using Ordinal Multi-class Logistic Regression Analysis

众筹是互联网时代图书馆筹集资金的重要渠道。以提升图书馆众筹绩效为中心,以众筹网中图书馆众筹项目的面板数据为样本,利用有序多分类Logistic回归模型,分析图书馆众筹绩效的影响因素。研究结果显示:当图片展示处于较高水平时,会对众筹绩效产生显著正向影响,但随着图片数量的持续增多,这种正向影响会逐步减弱;此外,披露众筹进程的信息更新也会显著地提升众筹绩效;而视频展示、众筹目标、项目关注数以及认筹人数对图书馆众筹绩效并没有显著的影响。

We are in an era when crowd-funding has become an important channel to finance for libraries.Based on the library crowd-funding projects from www.zhongchou.com,this paper analyzes the influencing factors of crowd-funding performance by using ordered multi-classification Logistic regression model,aiming to improve the crowd-funding performance of libraries.The regression results show that the number of images has a significant positive impact on the efficiency of crowd-funding.However,this positive effect gradually weakens as the number of pictures increase,and progress update also has a significant positive impact on the success of the project.The video,funding goal,attention from the public,the number of people who funded the project have no significant impacts on the effectiveness of crowdfunding projects.