# Optimizing and forecasting the development of China’s sports industry structure

## TL;DR

This paper analyzes China's sports industry structure and its economic impact, offering forecasts and recommendations for growth.

## Contribution

The study introduces grey relational analysis and GM (1,1) models to forecast and optimize China's sports industry structure.

## Key findings

- The sports manufacturing sector and product sales show the strongest correlation with GDP.
- The GM (1,1) model effectively predicts future trends in the sports industry's economic contribution.
- Sector-specific recommendations are proposed for structural optimization and sustainable development.

## Abstract

The sports industry’s contribution to economic growth is increasingly pronounced, as structural optimization offers significant potential to enhance its impact on economic development. This study employs the grey relational analysis and GM (1,1) grey prediction models to examine the correlation between China’s sports sub-sectors and key national economic development indicators, providing projections for future trends. Results indicate that the sports manufacturing sector and related product sales demonstrate the strongest correlation with Gross Domestic Product (GDP), highlighting their critical role in fostering economic growth. The GM (1,1) model reliably forecasts future trends in the sports industry’s added value. Based on these insights, sector-specific recommendations are proposed to promote structural optimization and sustainable development in China’s sports industry.