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1 – 10 of over 1000Qiang Lu, Yang Deng, Xinyi Wang and Aiping Wang
As an effective tool to promote rational resource allocation and facilitate the development of green management practices such as enterprise digital innovation, the green credit…
Abstract
Purpose
As an effective tool to promote rational resource allocation and facilitate the development of green management practices such as enterprise digital innovation, the green credit policy has recently gained extensive attention. The purpose of this paper is to analyze the relationship between green credit policies and the digital innovation of enterprises, and to further explore the mechanism of action between them and their boundary conditions.
Design/methodology/approach
Based on micro-level data on Chinese firms from 2007 to 2019, this paper constructs a difference-in-differences (DID) model to investigate the impact and intrinsic mechanisms of green credit policies on firms' digital innovation and its boundary conditions, with the help of a quasi-natural experiment, i.e. the Green Credit Guidelines.
Findings
Green credit policies inhibit digital innovation and fail to compensate for innovation. The analysis of the mechanism shows that the implementation of green credit policies has a negative impact on digital innovation by increasing the financing constraints faced by firms, and has also a crowding-out effect on R&D investment, resulting in a disincentive to digital innovation. Further analysis reveals that the negative impact of green credit policies on digital innovation is more pronounced in state-owned enterprises, enterprises without financially experienced executives, and in the eastern regions of China.
Originality/value
This study provides empirical evidence to understand the effectiveness and mechanism of influence of green credit policies on enterprise digital innovation, providing also a basis to further improve green credit policies.
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This study aims to investigate the influence and impact mechanism of capital tax incentives on firm innovation.
Abstract
Purpose
This study aims to investigate the influence and impact mechanism of capital tax incentives on firm innovation.
Design/methodology/approach
This study employs the difference-in-differences (DID) method, in conjunction with the exogenous impact of accelerated depreciation (AD) pilot policy. This study selects Chinese listed companies from 2010 to 2017 as the research sample.
Findings
Firstly, AD exerts a substantial positive effect on the quantity and quality of the innovation output of firms, and the positive impact results primarily from heightened investment in fixed assets, particularly, machinery and equipment. Secondly, the influence of the policy is pronounced in non-state-owned enterprises, mature enterprises, less capital-intensive enterprises and non-high-tech industries, which all exhibit strong innovation incentives. Lastly, the tax incentive policy significantly stimulates firm innovation in the short term, but its long-term impact on innovation incentives lacks statistical significance.
Originality/value
This study highlights the significance of capital tax incentives in facilitating the innovation process in firms.
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Yang Zhang, Wentao Zhou and Xiaoyao Pan
This article empirically tests the impact of risk appetite of the executive team on the re-innovation strategy after technological innovation failure using a panel regression…
Abstract
Purpose
This article empirically tests the impact of risk appetite of the executive team on the re-innovation strategy after technological innovation failure using a panel regression model from the perspective of regional financial development level of enterprises.
Design/methodology/approach
By means of time series global principal component analysis and panel regression model method, the study validated and analyzed the impact of risk appetite of the executive team on the re-innovation strategy after enterprise technological innovation failure.
Findings
The research found that the higher the risk appetite of executive team, the more inclined the enterprise is to choose the “focusing on quantity, ignoring quality” re-innovation strategy after technological innovation failure. The better the financial development level of the region where the enterprise is located, the better it can effectively reduce the re-innovation strategy of “focusing on quantity, ignoring quality” of the enterprise due to the high risk appetite of the executive team.
Originality/value
The findings of this study are helpful in improving the financial development level of the region where the enterprise is located. It can help the executive team of the enterprise to more objectively choose the innovation strategy after technological innovation failure, and reduce the phenomenon that the executive team of the enterprise only pays attention to the quantity of re-innovation and underestimates the quality of re-innovation after technological innovation failure due to its high risk appetite.
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Cheng Liu, Yi Shi, Wenjing Xie and Xinzhong Bao
This paper aims to provide a complete analysis framework and prediction method for the construction of the patent securitization (PS) basic asset pool.
Abstract
Purpose
This paper aims to provide a complete analysis framework and prediction method for the construction of the patent securitization (PS) basic asset pool.
Design/methodology/approach
This paper proposes an integrated classification method based on genetic algorithm and random forest algorithm. First, comprehensively consider the patent value evaluation model and SME credit evaluation model, determine 17 indicators to measure the patent value and SME credit; Secondly, establish the classification label of high-quality basic assets; Then, genetic algorithm and random forest model are used to predict and screen high-quality basic assets; Finally, the performance of the model is evaluated.
Findings
The machine learning model proposed in this study is mainly used to solve the screening problem of high-quality patents that constitute the underlying asset pool of PS. The empirical research shows that the integrated classification method based on genetic algorithm and random forest has good performance and prediction accuracy, and is superior to the single method that constitutes it.
Originality/value
The main contributions of the article are twofold: firstly, the machine learning model proposed in this article determines the standards for high-quality basic assets; Secondly, this article addresses the screening issue of basic assets in PS.
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Cosimo Magazzino and Fabio Gaetano Santeramo
In this paper, the heterogeneity of the linkages among financial development, productivity and growth across income groups is emphasized.
Abstract
Purpose
In this paper, the heterogeneity of the linkages among financial development, productivity and growth across income groups is emphasized.
Design/methodology/approach
An empirical analysis is conducted with an illustrative sample of 130 economies over the period 1991–2019 and classified into four subsamples: Organisation for Economic Co-operation and Development (OECD), developing, least developed and net food importing developing countries. Forecast error variance decompositions and panel vector auto-regressive estimations are computed, with insightful findings.
Findings
Higher levels of output stimulate the economic development in the agricultural sector, mainly via the productivity channel and, in the most developed economies, also through access to credit. Differently, in developing and least developed economies, the role of access to credit is marginal. The findings have practical implications for stakeholders involved in the planning of long-run investments. In less developed economies, priorities should be given to investments in technology and innovation, whereas financial markets are more suited to boost the development of the agricultural sector of developed economies.
Originality/value
The authors conclude on the credit–output–productivity nexus and contribute to the literature in (at least) three ways. First, they assess how credit access, agricultural output and agricultural productivity are jointly determined. Second, they use a novel approach, which departs from most of the case studies based on single-country data. Third, they conclude on potential causality links to conclude on policy implications.
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Jana Janoušková and Šárka Sobotovičová
It is important to consider economic and political factors when designing the tax mix and setting the level of corporate taxation. Increasing corporate taxation can be seen as an…
Abstract
It is important to consider economic and political factors when designing the tax mix and setting the level of corporate taxation. Increasing corporate taxation can be seen as an inefficient way to raise revenue for the state, as it can have a negative impact on investment and the competitiveness of firms. However, lowering corporate taxation can encourage investment and job creation, but it can also be perceived as supporting large corporations. The aim of this chapter is to evaluate corporate taxation, its position in the tax mix and its potential impact on economic growth. The revenues of corporate income tax (CIT) have an increasing tendency even though the tax rate was reduced from 41% to 19%. Revenues are influenced by both legislative changes and economic cycles. The level of taxation is also influenced by deductions, which include asset depreciations, research and development expenses, or loss deductions. The Pearson Correlation Coefficient was used to examine the correlation between the selected factors. A moderately strong positive correlation was found between GDP growth and CIT as a percentage of total taxes, as well as between GDP growth and CIT as a percentage of GDP.
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This paper aims to examine the factors associated with a household business entrepreneur’s decisions to formalise the firm at a multidimensions level.
Abstract
Purpose
This paper aims to examine the factors associated with a household business entrepreneur’s decisions to formalise the firm at a multidimensions level.
Design/methodology/approach
The data set is a panel of 2,336 SMEs and household businesses from Vietnamese SME surveys during the 2005–2015 period.
Findings
This study elucidates how firm-level resources, entrepreneur characteristics and costs of doing business influence an entrepreneur’s decision to enter, the speed and the degree of formality.
Originality/value
This study provides insight into the origins of an entrepreneur’s decisions to the multidimensions of business formality through the lenses of the resource-based view, entrepreneurship and institution theories.
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Ayesha Afzal, Jamila Abaidi Hasnaoui, Saba Firdousi and Ramsha Noor
Climate change poses effect on banking sector’s risks and profitability through adaptation of green technology. This study aims to incorporates green technology adaptation in…
Abstract
Purpose
Climate change poses effect on banking sector’s risks and profitability through adaptation of green technology. This study aims to incorporates green technology adaptation in three sectors: green banking, green entrepreneurial innovation (EI) and green human resource (HR), in a model of bank’s performance. And determines the impact of climate change on bank risk and profitability.
Design/methodology/approach
An assessment of profitability and risk profile of commercial banks is done for 27 European countries for 2013–2022, employing a two-step difference system-generalized method of moments estimation technique with a moderate effect of climate change by including interaction between climate change and green technology adaptation.
Findings
The results indicate that green banking increases profitability, reduces credit risk and increases liquidity risk. The results also show that green human resource increases profitability and becomes a source of credit and liquidity risks for the banks. Green EI increases credit risk and liquidity risk, while the effects of green EI on profitability vary with the use of two proxies: Green patents increase profitability and environment, social and corporate governance (ESG) scores decrease profitability.
Practical implications
Supportive government initiatives, including subsidies and tax rebates to green borrowers, may take the burden of green transition off the banking sector.
Originality/value
This paper observes the impact of green technology adaptation in three sectors: banks, EI and HR, moderated by climate change, adding substantially to the existing literature in conceptual framework and methodology.
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Shakeel Sajjad, Rubaiyat Ahsan Bhuiyan, Rocky J. Dwyer, Adnan Bashir and Changyong Zhang
This study aims to examine the relationship between financial development (FD), financial risk, green finance and innovation related to carbon emissions in the G7 economies.
Abstract
Purpose
This study aims to examine the relationship between financial development (FD), financial risk, green finance and innovation related to carbon emissions in the G7 economies.
Design/methodology/approach
This quantitative study examines the roles that financial development [FD: Domestic credit to private sector by banks as percentage of gross domestic product (GDP)], economic growth (GDP: Constant US$ 2015), financial risk index (FRI), green finance (GFIN: Renewable energy public research development and demonstration (RD&D) budget as percentage of total RD&D budget), development of environment-related technologies (DERTI: percentage of all technologies) and human capital (HCI: index) have on the environmental quality of developed economies. Based on panel data, the study uses a novel approach method of moments quantile regression as a main method to tackle the issue of cross-sectional dependency, slope heterogeneity and nonnormality of the data.
Findings
The study confirms that increasing economic development increases emissions and negatively impacts the environment. However, efficient resource allocation, improved financial systems, and green innovation are likely to contribute to emission mitigation and the overall development of a sustainable viable economy. Furthermore, the study highlights the importance of risk management in financial systems for future emissions prevention.
Practical implications
The study uses a reliable estimation procedure, which extends the discussion on climate policy from a COP-27 perspective and offers practical implications for policymakers in developing more effective emission mitigation strategies.
Social implications
The study offers policy suggestions for a sustainable economy, focusing on both COP-27 and the G7 countries. Recommendations include implementing carbon pricing, developing carbon capture and storage technologies, investing in renewables and energy efficiency and introducing financial instruments for emission mitigation. From a COP-27 standpoint, the G7 should prioritize transitioning to low-carbon economies and supporting developing nations in their sustainability efforts to address the pressing challenges of climate change and global warming.
Originality/value
In comparison to the literature, this study examines the importance of financial risk for G7 economies in promoting a sustainable environment. More specifically, in the context of FD and national income with carbon emissions, previous researchers have disregarded the importance of green innovation and human capital, so the current study fills the gap in the literature related to G7 economies by exploring the link between the identified variables related to carbon emissions.
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Saad Zighan, Tala Abuhussein, Zu’bi Al-Zu’bi and Nidal Yousef Dwaikat
Business excellence relies heavily upon sustainable innovation. Still, sustainable innovation is an emerging concept in business practices and has yet to reach a common perception…
Abstract
Purpose
Business excellence relies heavily upon sustainable innovation. Still, sustainable innovation is an emerging concept in business practices and has yet to reach a common perception among small- and medium-sized enterprises (SMEs). This study aims to address sustainable innovation in SMEs and the factors driving sustainable innovation development.
Design/methodology/approach
An exploratory study was conducted to gain insight into the emerging concept of sustainable innovation in the SMEs’ context. Empirical evidence was collected from five case studies. Twenty-five interviews were conducted.
Findings
This study findings show that SMEs have different ways of understanding sustainable innovation, resulting in different approaches to integrate sustainable innovation into their business. In SMEs, sustainable innovation may not be a fixed concept due to its ambiguous boundaries and various ways of understanding. External and internal factors are driving SMEs’ sustainable innovation. It depends mainly on organizational culture and the capabilities of SMEs and their members in terms of cooperation and integration in work teams, conditions to achieve consensus, articulation of activities, coherence and commitment to the firms’ objectives. These factors collide and enhance each other and positively impact SMEs’ sustainable innovation.
Originality/value
The scientific relevance of this study lies in the integration of sustainable innovation research in the context of SMEs. There has been limited exploration of how SMEs perceive and engage in sustainable innovation and the factors that drive sustainable innovation development outside of large firms. This study empirically explored the concept of sustainable innovation in the context of SMEs to understand underlying factors related to sustainable innovation.
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