Research on the Compilation of Input-Output Table and the Correlation Effects of Health Industry
- VernacularTitle:健康产业投入产出表编制与关联效应研究
- Author:
Fengjuan YANG
1
;
Zhuang HE
1
Author Information
1. 河南大学经济学院 河南 开封 475000
- Publication Type:Journal Article
- Keywords:
health industry;
input-output model;
multiplier decomposition;
influence coefficient;
sensitivity coefficient
- From:
Chinese Health Economics
2025;44(6):76-80
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To obtain a more accurate and comprehensive understanding of the scale,structure,and correlation effects of China's health industry.Methods:Competitive and non-competitive input-output tables for the health industry were compiled for the years 2002,2007,2012,2017,and 2020.The scale,sensitivity,influence coefficients,external dependence effects,intra-industry linkage effects,inter-industry spillover effects,and feedback effects of the health industry were measured using influence power,sensitivity coefficients,and multiplier decomposition techniques.Results:The health industry demonstrates sustained expansion with increasingly pronounced inter-sectoral spillover effects as the dominant linkage mechanism.However,its dual role in underpinning and propelling the national economy remains suboptimal,particularly given the elevated external dependency ratio observed in health manufacturing sectors.Conclusion:To foster new quality productive forces in the health industry and promote its high-quality development,it is imperative to establish collaborative innovation platforms to incubate digital-intelligent integrated ecosystems,implement domestic substitution initiatives for smart health manufacturing to secure industrial chain resilience,and innovate statistical theoretical methods to establish a comprehensive statistical monitoring system for the health industry.
