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The Relationship Between ESG Performance and Innovation: Machine Learning Prediction and Quantitative Analysis

Deng, Yongqi LU (2024) DABN01 20241
Department of Statistics
Department of Economics
Abstract
In today's world, sustainable development has become an important topic. And with the prevalence of the ESG concept, companies and investors have begun to pay more and more attention to ESG performance to measure the company's degree of responsibility and potential for sustainable development. At the same time, innovation ability is also one of the most important factors for companies to maintain long-term competitiveness. Therefore, it is of great significance to study the impact of ESG performance on corporate innovation ability and predict the innovation ability of companies. This paper mainly uses machine learning algorithms such as random forests and CatBoost models, takes ESG performance as an independent variable, and models and... (More)
In today's world, sustainable development has become an important topic. And with the prevalence of the ESG concept, companies and investors have begun to pay more and more attention to ESG performance to measure the company's degree of responsibility and potential for sustainable development. At the same time, innovation ability is also one of the most important factors for companies to maintain long-term competitiveness. Therefore, it is of great significance to study the impact of ESG performance on corporate innovation ability and predict the innovation ability of companies. This paper mainly uses machine learning algorithms such as random forests and CatBoost models, takes ESG performance as an independent variable, and models and predicts the patent output of Chinese A-share manufacturing companies. In this process, the impact of ESG on innovation ability is revealed with the help of feature interpretation tools. After regression analysis, it is found that ESG performance is positively correlated with the company's innovation ability and has a very significant impact on innovation ability. (Less)
Popular Abstract
In today's world, sustainable development has become an important topic. And with the prevalence of the ESG concept, companies and investors have begun to pay more and more attention to ESG performance to measure the company's degree of responsibility and potential for sustainable development. At the same time, innovation ability is also one of the most important factors for companies to maintain long-term competitiveness. Therefore, it is of great significance to study the impact of ESG performance on corporate innovation ability and predict the innovation ability of companies. This paper mainly uses machine learning algorithms such as random forests and CatBoost models, takes ESG performance as an independent variable, and models and... (More)
In today's world, sustainable development has become an important topic. And with the prevalence of the ESG concept, companies and investors have begun to pay more and more attention to ESG performance to measure the company's degree of responsibility and potential for sustainable development. At the same time, innovation ability is also one of the most important factors for companies to maintain long-term competitiveness. Therefore, it is of great significance to study the impact of ESG performance on corporate innovation ability and predict the innovation ability of companies. This paper mainly uses machine learning algorithms such as random forests and CatBoost models, takes ESG performance as an independent variable, and models and predicts the patent output of Chinese A-share manufacturing companies. In this process, the impact of ESG on innovation ability is revealed with the help of feature interpretation tools. After regression analysis, it is found that ESG performance is positively correlated with the company's innovation ability and has a very significant impact on innovation ability. (Less)
Please use this url to cite or link to this publication:
author
Deng, Yongqi LU
supervisor
organization
course
DABN01 20241
year
type
H1 - Master's Degree (One Year)
subject
keywords
ESG performance, Innovation Capability, Machine Learning, Companies
language
English
id
9173307
date added to LUP
2024-09-24 08:32:42
date last changed
2024-09-24 08:32:42
@misc{9173307,
  abstract     = {{In today's world, sustainable development has become an important topic. And with the prevalence of the ESG concept, companies and investors have begun to pay more and more attention to ESG performance to measure the company's degree of responsibility and potential for sustainable development. At the same time, innovation ability is also one of the most important factors for companies to maintain long-term competitiveness. Therefore, it is of great significance to study the impact of ESG performance on corporate innovation ability and predict the innovation ability of companies. This paper mainly uses machine learning algorithms such as random forests and CatBoost models, takes ESG performance as an independent variable, and models and predicts the patent output of Chinese A-share manufacturing companies. In this process, the impact of ESG on innovation ability is revealed with the help of feature interpretation tools. After regression analysis, it is found that ESG performance is positively correlated with the company's innovation ability and has a very significant impact on innovation ability.}},
  author       = {{Deng, Yongqi}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{The Relationship Between ESG Performance and Innovation: Machine Learning Prediction and Quantitative Analysis}},
  year         = {{2024}},
}