Zhengxia He

Dr. Zhengxia He


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 October 2020 in Sustainable Development
Verified
Journal Article
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MWMEILING WANG
MEILING WANG
SPSilu Pang
Silu Pang
IHIkram Hmani
Ikram Hmani
IHIlham Hmani
Ilham Hmani
CLCunfang Li
Cunfang Li
ZHZhengxia He
Zhengxia He

30 November 2020 in Business Strategy and the Environment
Verified
Journal Article
Closed access
PDF file
ZHZhengxia He
Zhengxia He
YZYanqing Zhou
Yanqing Zhou
Jianming WangJianming Wang
Jianming Wang
CLCunfang Li
Cunfang Li
MWMEILING WANG
MEILING WANG
Wenbo LiWenbo Li
Wenbo Li

20 May 2022 in Business Strategy and the Environment
Verified
Journal Article
Closed access
ZHZhengxia He
Zhengxia He
LKLeyi Kuai
Leyi Kuai
JWJianming Wang
Jianming Wang

3 June 2022 in Emerging Markets Finance and Trade
Verified
Journal Article
Closed access
ZHZhengxia He
Zhengxia He
CCChangshuai Cao
Changshuai Cao
Chao FengChao Feng
Chao Feng
Green technology innovation is an effective way to overcome the constraints of combining resources and environment. This paper focuses on the impacts of media attention and corporate environmental information disclosure on green technology innovation of China’s 487 listed heavily polluting companies from 2007 to 2019. The corporate environmental information disclosure was measured using text analytics and data mining and considering the impacts of political connections. The results indicate that: (1) both positive and negative media attention and the quality of environmental information disclosure significantly contribute to corporate green technology innovation, with negative media attention having a more substantial impact than positive media attention; (2) The environmental information disclosure of China’s heavily polluting industries acts as a mediator in the impact of negative media attention on enterprise green technology innovation; (3) Political connection as a moderating factor has a major suppressive impact on the mediating model. This paper enriches the research relevant to the drivers of green technology innovation in enterprises. It also provides new ideas for exploring the research on the influence on green technology innovation behavior from the perspective of political connections.

7 January 2018 in Sustainability
Verified
Journal Article
Open access
PDF file
ZHZhengxia He
Zhengxia He
SXShichun Xu
Shichun Xu
QLQin-Bin Li
Qin-Bin Li
Bin ZhaoBin Zhao
Bin Zhao
We examine the driving effects of various factors on technological innovation to renewables (TIRES), focusing on a set of 29 provinces in China, and apply a dynamic panel approach. China has become a leading player in research and development spending in renewables, and the dynamic panel estimators we use prove themselves to be suitable in handling the persistent effect on TIRES. The level of TIRES in the previous periods is positively and highly correlated with that in the current period and confirmed the need for a stable and consistent policy support for renewables. Electricity consumption is the most important driver for all renewables and wind energy, but the driving effect was weaker for solar energy and biomass. Research and development intensity is the most important driver for biomass, but is only the second most important driver for all renewables, solar energy and wind energy. Unexpectedly, electricity price has had significant negative impacts on TIRES, which reveals that lowering electricity prices will lead to higher innovation in renewables. The driving effect of renewable energy tariff surcharge subsidy is not significant, which means that Chinese subsidy policy has not played the desired role. The driving effect of installed renewable energy capacity is also minimal, which may be due to the fact that overcapacity will hinder TIRES in China. This paper may help policy-makers and the industry understand how to promote TIRES in China effectively based on these above influential factors.