Search results

This study examines the impact of university science parks’ (USPs) capabilities on revenue generation and introduces regional innovation as a moderating variable. This study aims to provide insights into enhancing revenue generation and fully leveraging the role of USPs in promoting revenue generation.

This study employs system generalized method of moments (GMM) estimation for 116 universities in China from 2008 to 2020, using hierarchical regression analysis to examine the relationships between variables.

The findings suggest that USPs play a beneficial role in fostering revenue generation. Specifically, the provision of incubation funding demonstrates a positive correlation, while USPs size exhibits an inverted U-shaped pattern, with a threshold at 3.037 and a mean value of 3.712, highlighting the prevalent issue of suboptimal personnel allocation in the majority of USPs. Moreover, the analysis underscores the critical moderating influence of regional innovation, affecting the intricate interplay between USPs size, incubation funding and revenue generation.

The single country (China) analysis relied solely on the use of secondary data. Future studies could expand the scope to include other countries and employ primary data collection. For instance, future research can further examine how regional development and USPs strategic plan impact revenue generation.

The study recommends that USPs managers and policymakers recognize the importance of incubation funding and determine the optimal quantity of USPs size to effectively foster revenue generation in USPs. Policymakers can use regional innovation as a moderating variable to reinforce the relationship between USPs size and incubation funding on revenue generation.

The study’s findings can contribute to the strategic industry growth and economic development of nations by promoting revenue generation. Leveraging the role of USPs and implementing the study’s recommendations can strengthen innovation and technology capabilities, driving strategic industry growth and economic development. This can enhance global competitiveness and promote sustainable economic growth.

This study introduces regional innovation as a moderating variable and provides empirical evidence of its influence on the relationship between USPs size and incubation funding on revenue generation. This adds value to research to the existing literature on USPs and revenue generation by showcasing the importance of examining the regional impact in research and innovation.

In recent years, environmental issues and resource depletion have posed significant challenges to firms and society. To address these environmental challenges, firms seek to build strategic alliances of green supply chain management (GSCM) with their supply chain partner. As the largest developing country in the Asia–Pacific region, China needs to take more responsibility for environmental protection, which requires more Chinese firms to participate in GSCM. Therefore, focusing on the issue of GSCM and innovation persistence in the context of an increasingly harsh ecological environment is essential.

To test the hypothesis, the authors perform an empirical analysis on a sample of 124 listed firms in China from 2014 to 2019. The results are robust to a battery of robustness analyses the authors performed to take care of endogeneity.

Empirical results indicate that GSCM can promote innovation persistence and both market environment turbulence and technology environment turbulence have a positive moderating effect on the relationship between the two. Mechanism tests show that GSCM can improve innovation efficiency, ensure innovation quality and alleviate financing constraints, thus promoting the innovation persistence of firms.

This study can provide a theoretical basis for the country to promote GSCM orientation, raise firms' awareness of the value of GSCM, convey the significance of GSCM to investors, influence firms' investment decisions and give experience to other developing countries.

The present study aims to examine the relationship between real earnings management and earnings persistence and also to test how the group affiliation of the firms influences this relationship.

The study draws the sample of listed non-financial firms in the Indian market from the year 2011 to 2018 and applies panel least squares regression with industry and year fixed effects. Future performance of a firm is measured by one year leading value of return on assets. The interaction term of real earnings management and return on assets is used to measure the impact of real earnings management on earnings persistence. The firm-specific controlling variables are also included in the empirical model. The robustness of the results is tested by sub-dividing the sample into group affiliated and non-group affiliated firms.

The findings of the study reveal that opportunistic earnings management has a significant impact on earnings persistence when real earnings management is measured through abnormal increase in operating cash flows and abnormal reduction in discretionary expenditure. On the other hand, signalling earnings management has a significant impact on earnings persistence when real earnings management is measured through abnormal increase in the level of production. The results also reveal that REM has more negative implications on group affiliated firms compared to non-group affiliated firms supporting the theory of entrenchment effect.

This is the first study in the Indian context which tests the implications of real earnings management on earnings persistence by using three alternative measures of real earnings management. The study contributes to the existing literature on the implications of real earnings management in emerging markets like India.

This paper focused on financial constraints scenario and tax planning activities of banks in Ghana. The study explores how financial constraints could motivate the banks to pursue tax planning mechanism and the implication on tax revenue mobilisation.

The paper followed generalised method of moments and fixed effect estimators to investigate the financial constrained-tax planning activity nexus. Simulation approach is adopted to provide financially constrained bank scenario. Besides contemporaneous analysis, sensitivity analysis is conducted to determine time varying effect. Data from all the 20 commercial banks which have operated from 2008 to 2018 were used.

The paper found that when banks are faced with financial constraints, they exhibit lower cash-effective-tax-rate. The decomposition analysis also revealed that financially constrained banks are likely to take on both short- and long-term tax planning opportunities. The paper also found evidence of persistence in the tax planning activities under financial constrained scenario.

This paper is one of the few studies which have extended the tax planning literature to the Ghanaian banking sector. Further novelty is seen from the development of financial constraint scenario from liquidity and solvency. Liquidity and solvency are the anchors for continuity of banking operation and sensitive to regulatory watch and sanctions. Therefore, by applying simulation approach to trigger financial constraints scenarios from these fundamental indicators reveals the extent to which commercial banks rely on tax planning opportunities to mitigate the consequence of financial constraints.

This paper focuses on the proliferation of empirical measures of competitive balance arising from its multi-dimensionality (i.e. win dispersion versus performance persistence), and the increasing complexity and specificity of league structures. This has led to significant inconsistencies in the assessments of competitive balance, rendering it difficult to derive policy recommendations.

The authors extend previous empirical studies of the four North American major leagues (i.e. MLB, NFL, NBA and NHL) using six competitive balance measures to (1) compare changes in competitive balance over the period 1960–2019; (2) to investigate the degree to which win dispersion and performance persistence move in the same direction; and (3) to explore the extent to which competitive balance has changed across facility construction eras and regulatory regimes.

The authors find that the assessment of competitive balance is both metric-dependent and time-dependent, reinforcing the importance of using a portfolio of measures rather than a single metric. The findings also highlight the importance of understanding the dispersion-persistence relationship.

The authors stress that leagues must be aware of a potential dispersion-persistence trade-off when intervening to improve competitive balance.

The main motivation of the present study is to understand the severity of the effect of health shock on Iran's oil economy and analyze the role of government under these conditions.

Dynamic stochastic general equilibrium (DSGE) models can show the precise interactions between market decision-makers in the context of general equilibrium. Since the duration of the virus outbreak and its effect on the economy is not known, it is more appropriate to use these models.

The results of the survey of hands-on policies scenarios compared to the state of hands-off policy indicate that the effect of government expending shocks on the economy under pandemic disease conditions has much less feedback on macroeconomic variables.

As a proposed policy, it is recommended that the government play a stabilizing role under pandemic disease conditions.

1. There is no study regarding health shock and its economic effects in Iran using DSGE models. Also, in foreign studies, the health shock in an oil economy has not been modeled.

2. The general idea in the present study is how the prevalence of a pandemic infectious disease affects the dynamics of macroeconomic variables.

3. In three different scenarios, according to the persistence of health disaster risk and the deterioration rate of health capital due to this shock, the model is simulated.

4. In modeling pandemic diseases, quarantine hours are considered as part of the total time of individuals.

5. According to the research findings, it is recommended that the government, as a policy-maker, play a stabilizing role under pandemic crises conditions.

There is no study regarding health shock and its economic effects in Iran using DSGE models. Also, in foreign studies, the health shock in an oil economy has not been modeled.

The general idea in the present study is how the prevalence of a pandemic infectious disease affects the dynamics of macroeconomic variables.

In three different scenarios, according to the persistence of health disaster risk and the deterioration rate of health capital due to this shock, the model is simulated.

In modeling pandemic diseases, quarantine hours are considered as part of the total time of individuals.

According to the research findings, it is recommended that the government, as a policy-maker, play a stabilizing role under pandemic crises conditions.

This study aims to examine the solvency and performance persistence of defined benefit private and public pension plans (DBPPs) in the Republic of Congo.

The authors use the 2 × 2 contingency table approach and the time product ratio (TPR)-based cross-product ratio (CPR) on data covering ten years from 2011 to 2020, with variable funded ratios and excess returns, to determine the solvency and performance persistence of defined benefit pension plans.

The authors document a lack of solvency and performance persistence in DBPP funds. They conclude that the solvency and performance of DBPP funds are not repetitive. The previous year's private and public defined benefit pension funds’ results do not repeat in the current year. Hence, the current solvency and performance of defined benefit pension funds are not good predictors of future funds' solvency and performance.

To the best of the authors’ knowledge, this study is the first to combine solvency and performance to examine the persistence of defined benefit pension plans in sub-Saharan Africa.

This article examines dynamic volatility spillovers between stock index returns of four main hospitality sub-sectors in US during the coronavirus disease 2019 (COVID-19) pandemic. These are tourism and travel, hotel and lodging, recreational services and food and beverages. Volatility spillovers are explicitly used as accurate and informative proxies for risk contagion between sectors during turbulent times.

The authors employ dynamic conditional correlation-generalized autoregression heteroskedasticity (DCC-GARCH) and wavelet coherence analysis (WCA) to analyze the phenomenon. The authors’ timeframe is divided into three main sub-periods, namely the pre-pandemic, the first wave and the second wave periods.

This study’s results reveal immense negative shocks in returns of all four sub-sectors on the Black Monday (8th March 2020). Moreover, high volatility persistence was observed during both waves with an exception of tourism and travel which exhibited lower volatility persistence during the second wave. The authors discovered magnified contagion effects between tourism and travel, hotel and lodgment and recreational services during the first wave of the pandemic with tourism and travel being the main volatility transmitter. Lower magnitudes of spillovers were observed between food and beverages and other sub-sectors with a decoupling effect being evident during the second wave.

This study’s findings contribute to the contagion theory by providing evidence of disproportional volatility spillover among hospitality sub-sectors despite being exposed to similar turbulent economic conditions.

Crucial implications can be drawn from this study’s findings to assist in risk management, asset valuation and portfolio management. The importance of close monitoring, safety measures, international diversification and adequacy of liquid assets during health crises cannot be stresses enough for hospitality firms. Retail investors, speculators and asset managers can take advantage of this study’s findings to design trading strategies and hedge against risk.

A body of knowledge pertaining to effects of crises such as COVID-19 on hospitality stocks has been proliferating. Nonetheless, there is still a relative dearth of empirical literature on volatility spillover between hospitality sub-sectors especially during periods of rising economic uncertainties.

Decision-making is of utmost importance for entrepreneurs. One of the most important entrepreneurial decisions is the decision to persist, which under certain circumstances such as a high level of adversity may seal the fate of entrepreneurs’ businesses. Nevertheless, the main antecedents of the decision to persist among entrepreneurs have remained understudied. This dearth of research is more obvious with respect to women entrepreneurs, especially in developing countries. To address this gap, this paper aims to explore the main antecedents of the decision to persist among women entrepreneurs.

By adopting a narrative approach, data were collected through a combination of semi-structured and in-depth questions with a sample of Iranian women entrepreneurs founding and running small businesses offering services in a variety of sectors and analysed by narrative data analysis.

According to the findings, the pandemic-emanated uncertainty, personal attachment to one’s venture as well as the reluctance of being blamed by one’s family, and the fear of the unknown future were the main drivers of the decision to persist among the entrepreneurs.

This paper offers two novel contributions to the extant literature. This paper is a pioneer not only in exploring entrepreneurs’ decisions during the COVID-19 pandemic but also in studying the decision to persist in the context of the developing nations.

This paper aims to analyze and give directions for advancing research in stock market volatility highlighting its features, structural breaks and emerging developments. This study offers a platform to research the benchmark studies to know the research gap and give directions for extending future research.

The author has performed the literature review, and, reference checking as per the snowballing approach. Firstly, the author has started with outlining and simplifying the significance of the subject area, the review illustrating the various elements along with the research gaps and emphasizing the finding.

This work summarizes the studies covering the volatility, its properties and structural breaks on various aspects such as techniques applied, subareas and the markets. From the review’s analysis, no study has clarified the supremacy of any model because of the different market conditions, nature of data and methodological aspects. The outcome of this research work has delivered further magnitude to research the benchmark studies for the upcoming work on stock market volatility. This paper has also proposed the hybrid volatility models combining artificial intelligence with econometric techniques to detect noise, sudden changes and chaotic information easily.

The author has taken the research papers from the scholarly journal published in the English language only and the author may also consider other nonscholarly or other language journals.

To the best of the author’s knowledge, this research work highlights an updated and more comprehensive framework examining the properties and demonstrating the contemporary developments in the field of stock market volatility.