scholarly journals The Impact of Fintech on Corporate Technology Innovation Based on Driving Effects, Mechanism Identification, and Heterogeneity Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jianwei Li ◽  
Na Li ◽  
Xiang Cheng
Keyword(s):  
Artificial Intelligence ◽  
Technological Innovation ◽  
Fixed Effects ◽  
Emerging Technologies ◽  
Innovation Policy ◽  
Policy Support ◽  
Real Economy ◽  
Fixed Effects Model ◽  
The Government ◽  
The Impact

Fintech relies on emerging technologies such as artificial intelligence and big data to bring a new business model to the financial system; can this new change promote corporate technological innovation? To explore this question, this paper examines the possible impact mechanism of Fintech on enterprise technological innovation based on the examination of the impact of Fintech on enterprise technological innovation through a panel fixed effects model, using A-share listed enterprises in Shanghai and Shenzhen markets in China from 2011–2019, and further explores whether there is heterogeneity in this impact among enterprises with different traits. The results show that Fintech development can significantly promote firm technological innovation and that Fintech can influence firm technological innovation through two mechanisms: alleviating firm financing constraints and providing market opportunities for firms to enhance their profitability. In addition, the driving effect of Fintech on technological innovation is more pronounced in new firms, state-owned enterprises, and nonborrowed and listed firms. Based on the conclusion, it is proposed that the government should enhance certain policy support for Fintech guided by emerging technologies such as artificial intelligence, help Fintech empower the real economy, and at the same time promote the deep integration of Fintech and real enterprises, especially to strengthen the identification of Fintech for new enterprises and encourage state-owned enterprises to implement employee stock ownership system, as well as sound market construction to reduce barriers to listing of high-quality enterprises, so as to improve innovation policy effectiveness and provide a reference for the mitigation of enterprise innovation problems in the new situation.

scholarly journals The Impact of Environmental Pollution on the Health of Middle-Aged and Older Adults in China

2021 ◽  
Author(s):  
Hongli Fan ◽  
Yingcheng Wang ◽  
Ying Wang ◽  
Peter C Coyte
Keyword(s):  
Older Adults ◽  
Environmental Pollution ◽  
Fixed Effects ◽  
Elderly Women ◽  
Population Aging ◽  
Pollution Prevention ◽  
Fixed Effects Model ◽  
Middle Aged ◽  
The Government ◽  
The Impact

Abstract While several studies have demonstrated the negative impacts of environmental pollution on population health, in general, few studies have examined the potential differential effects on the health of middle-aged and older populations, i.e. 45 years and older. Given the twin concerns of environmental pollution and population aging in China, this article employed a fixed effects model to infer the impact of environmental pollution on public health with a particular focus on middle-aged and older adults. The analyses were based on data from the 2011–2018 waves of the CHARLS and pollutant data from prefecture-level cities. The results showed that environmental pollution significantly increased the risk of chronic diseases and negatively impacted the health of middle-aged and older adults. Environmental pollution had its greatest negative effect on the health of the elderly, women, urban residents and those with lower incomes than for their counterparts. We further found that the main channels of effect were through reduced physical exercise and an increase in depressive symptoms, and the pollution prevention actions alleviated the health deterioration of environmental pollution for the middle-aged and elderly. It is imperative for the government to urgently reinforce policy's enforcement to decrease air and water pollution, and enhance the ability to circumvent pollution for the lower socioeconomic groups.

scholarly journals The Impact of Fiscal Policy on Foreign Direct Investment Inflows: A Study of India and Select Asian Economies

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Niti Bhasin
Keyword(s):  
Fiscal Policy ◽  
Fixed Effects ◽  
Fixed Effects Model ◽  
Fdi Inflows ◽  
Dummy Variables ◽  
Principle Component Regression ◽  
The Government ◽  
The Impact ◽  
Model Approach

While the role of taxation in influencing FDI has received considerable attention in literature, there has been very less work on examining the role of fiscal policy as a whole on FDI inflows. The dimension of fiscal policy that relates to the expenditure of the government has not received much attention in terms of its impact on FDI. This study would attempt to bridge the gap in literature by examining the impact of both the revenue and expenditure side of fiscal policy on FDI inflows in India and other select economies of the Asian region. The paper identifies the determinants of FDI flows with special reference to fiscal policy variables, namely tax treaties and developmental expenditure of the government. With the help of principle component regression, we have estimated a panel equation with the Least Squared Dummy Variables (fixed effects model) approach. The determinants which have emerged as significant are FDI openness and infrastructure. Our variables of interest, that is, the fiscal policy variables turn out to be insignificant. Thus while a competitive fiscal policy may facilitate operations of business, it is still not a prime consideration in investment decisions.

scholarly journals Do Non-Economic Factors Effect Village Fund?

2020 ◽  
Vol 9 (1) ◽  
pp. 93-106
Author(s):  
Lely Ratwianingsih ◽  
Malik Cahyadin ◽  
Sutomo Sutomo
Keyword(s):  
Fixed Effects ◽  
Secondary Data ◽  
Economic Factors ◽  
Regional Government ◽  
Fixed Effects Model ◽  
Central Java ◽  
Funds Allocation ◽  
The Government ◽  
The Impact ◽  
The Village

The Government has enacted Law Number 6/2014 concerning Villages. One policy included in that Law is the provision of Village Funds (Dana Desa) in which its implementation can be investigated based on non-economic aspects. For this reason, this study aims to analyze the impact of non-economic factors on Village Funds disbursed in 29 districts in Central Java Province. These factors include population and the Human Development Index (HDI). While using secondary data from 2015-2017, this research employs a method using panel data with the best model known as the Fixed Effects Model (FEM). The FEM estimation results show that the population has a significant impact, while HDI's impact is not significant. Besides, the ratio between Village Funds and the population has a significant impact on Village Funds. Thus, both the Central and the Regional Government, as well as the Village Heads, should consider the population in allocating Village Funds. The contribution of this study is that the Government should formulate an appropriate policy for Village Funds allocation by considering non-economic factors in each village.JEL Classification: O10, O23, E62How to Cite:Ratwianingsih, L., Cahyadin, M., & Sutomo. (2020). Do Non-Economic Factors Affect Village Funds?. Signifikan: Jurnal Ilmu Ekonomi, Vol. 9(1), 93-106. doi: http://dx.doi.org/10.15408/sjie.v9i1.14056.

Dampak Kebijakan Moneter Pada Output Di Negara-Negara ASEAN Tahun 1980-2014

2017 ◽  
Vol 4 (1) ◽  
pp. 58-70
Author(s):  
Nur Widiastuti
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Fixed Effects ◽  
Empirical Studies ◽  
Negative Relationship ◽  
Least Square ◽  
Fixed Effects Model ◽  
State Data ◽  
Ordinary Least Square ◽  
The Impact

The Impact of monetary Policy on Ouput is an ambiguous. The results of previous empirical studies indicate that the impact can be a positive or negative relationship. The purpose of this study is to investigate the impact of monetary policy on Output more detail. The variables to estimatate monetery poicy are used state and board interest rate andrate. This research is conducted by Ordinary Least Square or Instrumental Variabel, method for 5 countries ASEAN. The state data are estimated for the period of 1980 – 2014. Based on the results, it can be concluded that the impact of monetary policy on Output shown are varied.Keyword: Monetary Policy, Output, Panel Data, Fixed Effects Model

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

scholarly journals Cultural and Creative Cities and Regional Economic Efficiency: Context Conditions as Catalyzers of Cultural Vibrancy and Creative Economy

2021 ◽  
Vol 13 (13) ◽  
pp. 7150
Author(s):  
Silvia Cerisola ◽  
Elisa Panzera
Keyword(s):  
Fixed Effects ◽  
Local Context ◽  
Creative Economy ◽  
Fixed Effects Model ◽  
Creative Cities ◽  
Economic Output ◽  
Innovative Methodology ◽  
Holistic Conception ◽  
Panel Fixed Effects ◽  
The Impact

Following the hype that has been given to culture and creativity as triggers and enhancers of local economic performance in the last 20 years, this work originally contributes to the literature with the objective of assessing the impact of cultural and creative cities (CCCs) on the economic output of their regions. In this sense, the cultural and creative character of cities is considered a strategic strength and opportunity that can spillover, favoring the economic system of the entire regions in which the cities are located. Through an innovative methodology that exploits a regional production function estimated by a panel fixed effects model, the effect of cities’ cultural vibrancy and creative economy on the output of their regions is econometrically explored. The data source is the Cultural and Creative Cities Monitor (CCCM) provided by the JRC, which also allows the investigation of the possible role played by the enabling environment in catalyzing the action of cultural vibrancy and creative economy. The results are thoroughly examined: especially through cultural vibrancy, CCCs strategically support the output of their region. This is particularly the case when local context conditions—such as human capital and education, openness, tolerance and trust, and quality of governance—catalyze their effect. Overall, CCCs contribute to feeding a long-term self-supporting system, interpreted according to a holistic conception that includes economic, social, cultural, and environmental domains.

scholarly journals The Impact Of Good Corporate Governance To Manufacturing Firm’s Profitability And Firm’s Value

2016 ◽  
Vol 5 (2) ◽  
pp. 181-196 ◽  
Author(s):  
Johanes Sumarno ◽  
Sendy Widjaja ◽  
Subandriah Subandriah
Keyword(s):  
Corporate Governance ◽  
Fixed Effects ◽  
Negative Impact ◽  
Stock Exchange ◽  
Manufacturing Firms ◽  
Fixed Effects Model ◽  
Good Corporate Governance ◽  
Oecd Principles ◽  
Equitable Treatment ◽  
The Impact

This paper studied the behavior of management toward the implementation of Good Corporate Governance in Indonesia to determine whether it has any influence towards profitability and its implication to the Manufacturing Firms’ value publicly listed in Indonesian Stock Exchange. There were 41 corporations who met the criteria of the survey. The data were analyzed using Panel Regression with fixed effects Model. The empirical findings show that the implementation of Corporate Governance in Indonesia has a positive, significant and direct impact toward firms’ profitability and firms’ value. Corporate Governance principles based on OECD principles that have positive and significant impact to both profitability and Firms’ Valueis Rights of Shareholders, Role of Stakeholders, Responsibilities of the Board Commissioners and Board of Directors. The principles that have significance and negative impact towards corporate profitability and value, are: Equitable treatment of shareholders and Disclosure and Transparencies. The most significant principle influencing profitability and firms’ value is Disclosure and Transparencies. Profitability plays a greater role in influencing Manufacturing Firms’ value in Indonesia. DOI: 10.15408/sjie.v5i2.3542

scholarly journals IMPACT OF HUMAN CAPITAL DEVELOPMENT ON PRODUCTIVITY GROWTH IN EU MEMBER STATES

2018 ◽  
Vol 16 (0) ◽  
pp. 1-12 ◽  
Author(s):  
Alma Mačiulytė-Šniukienė ◽  
Kristina Matuzevičiūtė
Keyword(s):  
Human Capital ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Labour Productivity ◽  
Ordinary Least Squares ◽  
Fixed Effects Model ◽  
Education Expenditure ◽  
Member States ◽  
Eu Member States ◽  
The Impact

In this research, we investigate the impact of human capital on labour productivity in European Union member states using panel data analysis. Results of the paper are estimated using the Pooled ordinary least squares (OLS) and Fixed effects model (FEM). The results show that human capital is positively significant in improving the growth of labour productivity in the EU. Our estimates also suggest that the impact occurs after three times lags in case of education expenditure.

The elephant in the room of mutual forbearance

2018 ◽  
Vol 11 (2) ◽  
pp. 257-279 ◽  
Author(s):  
Burak Cem Konduk
Keyword(s):  
Airline Industry ◽  
Fixed Effects ◽  
Research Question ◽  
Fixed Effects Model ◽  
Content Type ◽  
High Performing ◽  
The Us ◽  
Mutual Forbearance ◽  
Low Performance ◽  
The Impact

PurposeThe purpose of this paper is to explain how a multi-market firm develops the motivation to forbear from competition.Design/methodology/approachA two-way fixed effects model with Driscoll and Kraay standard errors investigates the research question with panel data collected from the US scheduled passenger airline industry.FindingsThe results demonstrate that although the interaction of multi-market contact with strategic similarity impairs a firm’s forbearance from competition, the same interaction promotes it as firm performance deteriorates, supporting the hypotheses.Research limitations/implicationsPerformance explains not only how forbearance emerges out of coincidental multi-market contact but also reconciles the mixed evidence for the impact of the two-way interaction between multi-market contact and strategic similarity on forbearance.Practical implicationsAntitrust authorities should pay more attention to low performing firms than to high performing firms in their investigations. Also, managers of multi-market firms should identify multi-market rivals with low performance as targets for the initiation of forbearance.Originality/valueThis study revises the mutual forbearance theory to align it with the accumulating empirical evidence that otherwise refutes its assumption and thereby improves theory’s descriptive and predictive power.

Evaluating the impact of changes in human capital structure on Russia's economic growth dynamics

2021 ◽  
Vol 20 (2) ◽  
pp. 200-222
Author(s):  
Roman M. MEL'NIKOV ◽  
Valentina A. TESLENKO
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Growth Rates ◽  
Fixed Effects ◽  
Growth Dynamics ◽  
High Tech ◽  
Fixed Effects Model ◽  
Long Term Effects ◽  
Academic Degree ◽  
The Impact

Subject. The article explores the impact of changes in the educational structure of the employed population on the dynamics of economic growth. Objectives. The purpose is to evaluate the impact of changes in the share of employed persons, having secondary vocational and higher education, and researchers with academic degree on the growth rates of the Russian economy. Methods. The study employs the regression analysis of panel data of Russian regions, the specification with a quadratic dependence of economic growth rates on the share of employed persons, having the higher education and secondary vocational education. A fixed-effects model is used to analyze the short-term effects, the sustainability of results, and long-term effects, using the pool models and random effects models. Results. The increase in the share of researchers with academic degree has a positive and significant effect on economic growth, but only if adequate R&D funding is provided. The increase in the share of employed persons with higher education up to thirty percent is accompanied by an increase in the growth rate of real GRP in the long run, however, further expansion of higher education has no positive effect on economic growth. Conclusions. A powerful form of personnel training for Russian high-tech companies is a special model of ‘industrial postgraduate training’, which involves the collaboration of universities with industrial partners.

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