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Economic effect of the golf simulation industry in Korea: an analysis based on the SVAR model
Humanities & Social Sciences Communications ( IF 2.731 ) Pub Date : 2022-07-13 , DOI: 10.1057/s41599-022-01255-9
Yuanyuan Hao 1 , Mengyuan Kong 2
Affiliation  

The main objective of this study is to investigate the impact relationship between the golf simulation industry and economic growth in Korea using impulse response and variance decomposition of Structural Vector Auto-regressive model (SVAR) based on data from 2000 to 2020. The impulse response results show that under the short-term constraint, there is a strong correlation between the golf simulation industry, sports industry investment and labor population, while the interaction between the golf simulation industry, sports industry investment and economic growth is weak, and the trend of their influence is somewhat uncertain under the effect of economic growth. In contrast, there is a unidirectional positive influence effect between the golf simulation industry, sports industry investment, labor population and economic growth under the long-term constraint. However, the difference from short-term constraints is that the long-term shock effect is less volatile with a poorer influence effect, thus leading to the weaker interaction between them. The structural variance decomposition shows that the impact path of the economic effect of the golf simulation industry is the same for both long-term and short-term effects, which indicates that the golf simulation industry, labor population, and sports industry investment all have a positive contribution on economic growth.



中文翻译:

韩国高尔夫模拟产业的经济效应:基于SVAR模型的分析

本研究的主要目的是利用基于 2000 年至 2020 年数据的结构向量自回归模型 (SVAR) 的脉冲响应和方差分解,研究高尔夫模拟产业与韩国经济增长之间的影响关系。脉冲响应结果表明在短期约束下,高尔夫模拟产业、体育产业投资和劳动力人口之间存在较强的相关性,而高尔夫模拟产业、体育产业投资与经济增长之间的交互作用较弱,其趋势在经济增长的影响下,影响有些不确定。相比之下,高尔夫模拟产业、体育产业投资、长期约束下的劳动力人口与经济增长。但与短期约束不同的是,长期冲击效应波动较小,影响效果较差,从而导致它们之间的相互作用较弱。结构方差分解表明,高尔夫模拟产业的经济效应对长期效应和短期效应的影响路径相同,说明高尔夫模拟产业、劳动力人口和体育产业投资均具有对经济增长的积极贡献。

更新日期:2022-07-14
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