Intersecting paths: Corporate and green innovation in Chinese firms—A penal cointegration analysis

协整 绿色创新 面板数据 产业组织 业务 可持续发展 稳健性(进化) 竞争优势 普通最小二乘法 中国 企业社会责任 可持续增长率 经济 营销 计量经济学 财务 公共关系 生态学 基因 政治学 生物 化学 生物化学 法学
作者
ZhongJi Liu,Dan Hou,R. M. Ammar Zahid
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:19 (1): e0295633-e0295633 被引量:3
标识
DOI:10.1371/journal.pone.0295633
摘要

In today’s dynamic and competitive business landscape, innovation is paramount for companies striving to maintain a competitive edge. Among various innovation strategies, corporate green innovation has gained prominence as an efficient means of achieving sustainable growth. In response to the pressing need for sustainable development, this study investigates the bidirectional cointegration link between green innovation and overall corporate innovation in a panel dataset of Chinese-listed enterprises.As China emphasizes principles like "greening" and "innovation" for twenty-first-century development, this research aligns with the nation’s goal of fostering sustainable industry growth through "green innovation”. It employs panel cointegration tests, including the Westerlund test, dynamic panel ordinary least square (DOLS), and the panel vector error correction model (VECM), using data from Chinese A-listed firms spanning from 2008 to 2020. The study reveals a robust long-term, bidirectional relationship between corporate innovation and green innovation. Notably, it demonstrates that green innovation causally impacts corporate innovation in both the short and long term. This research also conducts subsample analysis, ensuring the robustness of the main findings across both non-polluted and polluted industries. These findings provide valuable insights into how corporate innovation factors influence corporate green innovation. Consequently, they offer valuable insights for policymakers and organizations, aiding in the formulation of policies that promote environmentally friendly innovation while elevating corporate innovation standards.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
研友_VZG7GZ应助Josephwa采纳,获得10
2秒前
解觅荷发布了新的文献求助10
2秒前
Dou完成签到,获得积分10
3秒前
kanghyeonwu发布了新的文献求助10
3秒前
4秒前
endmarki发布了新的文献求助10
5秒前
小二郎应助germini99采纳,获得10
6秒前
hmhu完成签到,获得积分10
6秒前
搜集达人应助哭泣灯泡采纳,获得10
6秒前
科研通AI2S应助有的没的采纳,获得10
7秒前
小马甲应助勤恳的语蓉采纳,获得10
8秒前
hmhu发布了新的文献求助10
9秒前
纪煜祺发布了新的文献求助10
10秒前
454完成签到 ,获得积分10
10秒前
10秒前
Lucas应助田埂追星人采纳,获得10
10秒前
junyi完成签到,获得积分20
11秒前
11秒前
13秒前
nozero应助潇湘夜雨采纳,获得30
14秒前
14秒前
14秒前
15秒前
NexusExplorer应助耿肖肖采纳,获得10
17秒前
解觅荷完成签到,获得积分10
18秒前
kanghyeonwu完成签到,获得积分20
19秒前
germini99发布了新的文献求助10
19秒前
19秒前
lwwwl发布了新的文献求助10
20秒前
田様应助遥感小虫采纳,获得10
21秒前
田埂追星人完成签到,获得积分20
21秒前
可爱的函函应助有的没的采纳,获得10
23秒前
23秒前
25秒前
26秒前
27秒前
知性的千秋发布了新的文献求助100
29秒前
germini99完成签到,获得积分20
30秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
The First Nuclear Era: The Life and Times of a Technological Fixer 500
岡本唐貴自伝的回想画集 500
Distinct Aggregation Behaviors and Rheological Responses of Two Terminally Functionalized Polyisoprenes with Different Quadruple Hydrogen Bonding Motifs 450
Ciprofol versus propofol for adult sedation in gastrointestinal endoscopic procedures: a systematic review and meta-analysis 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3669843
求助须知:如何正确求助?哪些是违规求助? 3227318
关于积分的说明 9774958
捐赠科研通 2937434
什么是DOI,文献DOI怎么找? 1609349
邀请新用户注册赠送积分活动 760256
科研通“疑难数据库(出版商)”最低求助积分说明 735765