How does digital finance affect industrial structure upgrading? Evidence from Chinese prefecture-level cities.

More sustainable, more productive: Evidence from ESG ratings and total factor productivity among listed Chinese firms

Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas

Are the European Union stock markets vulnerable to the Russia–Ukraine war?

Political connections and corporate carbon emission: New evidence from Chinese industrial firms

Global oil price uncertainty may affect the enterprise total factor productivity (TFP). Considering the unbalanced relationship between the rapid growth in the Chinese economy and its relatively low TFP and China is the largest net oil importer, this paper employs the SYS-GMM to effectively analyze the impact of oil price uncertainty on Chinese enterprise TFP, as well as its mechanism. Based on firm-level data of listed Chinese enterprises from 2010 to 2019, we find significant evidence that oil price shocks have a detrimental influence on enterprise TFP. This influence is mediated by technical innovation and resource allocation. Heterogeneity analysis reveals that oil price uncertainty has a stronger negative impact on enterprise TFP state-owned firms, or firms in small businesses, secondary industries, northeastern heavy industries, low-competition sectors, and regions where marketization is sluggish. Moreover, when the control of retail oil prices is eased, the negative impact becomes more evident. Our findings can provide advice on policies or to researchers regarding the considerable uncertainty of energy prices and increasingly importance of TFP. • The impact of oil price uncertainty on enterprise total factor productivity (TFP) is assessed. • Oil price uncertainty can lead to a decline in enterprise TFP. • Technological innovation and resource allocation are two mediating variables between the relationship of oil price uncertainty and TFP. • The extent to which oil price uncertainty affects enterprise TFP varies in the enterprise's internal and external environments. 

Oil price uncertainty and enterprise total factor productivity: Evidence from China

Since more and more investors are affected by the Internet finance, this paper focuses on examining whether the systematic trading among investors would lead to stock return comovements beyond the usual risk factors. Internet finance investor sentiment index (IFIS) measures the sentiment related to Internet finance investors' behaviors, which is found to be a systematic factor of stock market returns. To clarify the influence mechanism of IFIS, two groups of portfolios are constructed. First, stocks are sorted into three portfolios according to their degrees of relevance to Internet financial products. IFIS has more significant impact on stocks of firms closely linked to Internet financial products. Second, the role of IFIS on return comovements is further examined using size portfolios. Interestingly, IFIS has significant incremental explanatory power, beyond Fama and French (2015) five factors, on return comovements for stocks with larger market capitalization. This phenomenon is contradictory to the findings by using existing stock investor sentiment in the literature. Our findings have strong implications for research on Internet finance and stock return comovements.

Internet finance investor sentiment and return comovement

The asymmetric effect of geopolitical risk on China's crude oil prices: New evidence from a QARDL approach

Abstract In recent years, with the increasing attention paid to climate risks, the changes in climate policies are also more full of uncertainties, which have brought tremendous impact to economic entities, including companies. Using the dynamic threshold model, this study investigates the nonlinear and the asymmetric effect of climate policy uncertainty on Chinese firm investment decisions with panel data of 128 Chinese energy-related companies from 2007 to 2019. The empirical findings indicate that the influence of climate policy uncertainty on firm investment is significantly nonlinear. Overall, climate policy uncertainty is not apparently related to corporate investments in the high-level range, while it negatively affects the investments in the low-level range. In addition, to be more specific, the negative impact of climate policy uncertainty on the mining industry is tremendous, while the influence on the production and supply of electricity, heat, gas, and water sector is remarkably positive. The results of this study could help the company managers and policymakers to arrange appropriate related strategies under different climate policy conditions. 

/pdf/climate-policy-uncertainty-and-corporate-investment-evidence-296rtwtq.pdf

Climate policy uncertainty and corporate investment: evidence from the Chinese energy industry

Global oil price uncertainty and excessive corporate debt in China

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Chenglu Jin

Author Tools

Chat about Author