Regional patent activity in Russia: does level of risks make a difference?

2018 ◽  
Vol 28 (2) ◽  
pp. 136-154 ◽  
Author(s):  
Natalia Ermasova ◽  
Olumide Ijose ◽  
Sergey Ermasov
Keyword(s):  
Design Methodology ◽  
Negative Impact ◽  
Random Effect ◽  
Random Effect Model ◽  
Patent Activity ◽  
Content Type ◽  
Empirical Results ◽  
Effect Model ◽  
The One ◽  
The Relationship

Purpose The purpose of this paper is to explore empirically the linkages among level of economic, managerial, financial, criminal risks and patent activity in Russia. This paper examines the relationship between the economic, managerial, financial and criminal regional risks ratings, on the one hand, and patent activity, as measured by regional patent applications for inventions, on the other. Design/methodology/approach A random effect model was performed for a data sample of 83 regions, covering the period 2006-2010 in Russia. Findings The empirical results show that increased levels of regional economic risks are significantly associated with decrease in patent activity in Russia. Originality/value This study fills a gap within the literature and offers a unique analysis of regional risks and their impact on patent activity. The empirical results showed that economic risk ratings have had considerable negative impact on the patent activities on regional level in Russia.

Managerial overconfidence, debt capacity and merger & acquisition premium

2019 ◽  
Vol 10 (4) ◽  
pp. 570-590
Author(s):  
Ailing Pan ◽  
Wenkai Liu ◽  
Xue Wang
Keyword(s):  
Decision Making ◽  
Random Effect ◽  
Random Effect Model ◽  
Chinese Enterprises ◽  
Content Type ◽  
Effect Model ◽  
Lr Test ◽  
Debt Capacity ◽  
Managerial Overconfidence ◽  
The Relationship

Purpose Based on the perspective of cognitive psychology, this paper takes the M&A events of Chinese A-share listed enterprises from 2008 to 2015 as the research samples, and then empirically analyzes the influence of managerial overconfidence on M&A premium under the special circumstances in China and tests the moderating effect of debt capacity between managerial overconfidence and M&A premium. Design/methodology/approach This paper selects the M&A events of all A-share listed enterprises from 2008 to 2015 as the total samples. In view of the fact that the data in this paper are unbalanced panel data, so this paper uses the LR test, LR test and Hausman test to filter the mixed OLS model, fixed effect model and random effect model. Finally, using the random effect model for empirical testing reduces the endogeneity of the model. Findings The study shows that managerial overconfidence is positively correlated with M&A premium; at the same time, compared with the state-owned enterprises, the relationship between managerial overconfidence and M&A premium is more significant in private enterprises. Further study shows that debt capacity can strengthen the relationship between managerial overconfidence and M&A premium, to be specific, the larger the debt capacity is, the stronger the positive relationship between managerial overconfidence and M&A premium will be. Moreover, after considering the influence of agency cost and financing expense, and conducting endogenous test and robust test, this research’s conclusions remain the same. Research limitations/implications This research also has some limitations. Some M&A announcements are incomplete, and the target has more information missing, resulting in a decrease in the number of samples, which may affect the accuracy of the conclusions. This paper does not address the research of the economic consequences of M&A, namely, the impact of managerial overconfidence and debt capacity on M&A performance. This is one of the future research directions for this paper. Practical implications The conclusions of this paper provide new theory evidence for Chinese enterprises' M&A decision-making. Social implications First, enterprises should gradually improve corporate governance structure and governance mechanisms to guide more stakeholders to participate in corporate governance, and also they should strengthen the pre-evaluation, in-process control and post-supervision of managers' behavioral decisions to prevent irrational M&A caused by managerial overconfidence. Especially in private enterprises, this issue should be paid more attention. Second, enterprises should make full use of the debt governance function of creditors and improve the creditors' supervision mechanism for managers' decision-making behavior. Originality/value The innovation value and increment contribution of this paper may include the following aspects: the conclusions of this paper expand the research boundary of the relationship between managerial overconfidence and M&A premium, and enrich related literature about debt capacity and the influence of debt capacity on M&A decision-making, and also provide new theory evidence for Chinese enterprises' M&A decision-making. In a word, this research is a beneficial supplement and extension for existing research.

scholarly journals Cyp2C19*2 Polymorphism Related to Clopidogrel Resistance in Patients With Coronary Heart Disease, Especially in the Asian Population: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 11 ◽  
Author(s):  
Ying Sun ◽  
Qing Lu ◽  
Xuefei Tao ◽  
Biao Cheng ◽  
Guoxing Yang
Keyword(s):  
Gene Polymorphism ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Asian Population ◽  
Fixed Effect Model ◽  
Clopidogrel Resistance ◽  
Effect Model ◽  
The Relationship ◽  
Allele Model

In recent years, the relationship between Cyp2C19*2 gene polymorphism and clopidogrel resistance reflected by platelet function assay has been studied extensively, but there is no clear conclusion yet. In order to evaluate the relationship between Cyp2C19*2 gene polymorphism and clopidogrel resistance more accurately, meta-analysis was conducted in this study. The I2 value taking 50% as the limit, the heterogeneity is judged as high or low, and then a random effect model or a fixed effect model is selected for statistical analysis. PubMed, EMBASE, Web of Science, CNKI, and China Wanfang database were searched, and the related literatures from the establishment of the database to May 2020 were collected and analyzed by STATA 15.0 software. A total of 3,073 patients were involved in 12 studies, including 1,174 patients with clopidogrel resistance and 1,899 patients with non-clopidogrel resistance. The results of this study showed that allele model (A vs. G): OR = 2.42 (95%CI: 1.97–2.98); dominant model (AA+GA vs. GG): OR = 2.74 (95%CI: 2.09–3.59); recessive model (AA vs. GA+GG): OR = 4.07 (95%CI: 3.06–5.41); homozygous model (AA vs. GG): OR = 5.70 (95%CI: 4.22–7.71); heterozygote model (GA vs. GG): OR = 2.32 (95%CI: 1.76–3.07), the differences were statistically significant. Also, the analysis of the Ethnicity subgroup indicated that the Asian allele model and the other four gene models were statistically significant. In conclusion, Cyp2C19*2 gene polymorphism is strongly associated with clopidogrel resistance. Allele A, genotype GA, AA, and GG + GA can increase clopidogrel resistance, especially in the Asian population.

Housing price and enterprise financing: does mortgage effect exist?

2019 ◽  
Vol 9 (1) ◽  
pp. 137-152 ◽  
Author(s):  
Shujing Li ◽  
Nan Gao
Keyword(s):  
Financial Development ◽  
Design Methodology ◽  
Empirical Test ◽  
Housing Prices ◽  
Housing Price ◽  
Fixed Effect Model ◽  
Content Type ◽  
Empirical Results ◽  
Effect Model ◽  
High Level

Purpose The purpose of this paper is to explore the influence of the rise in housing prices on enterprise financing and also the sustainability and heterogeneity of this effect. Design/methodology/approach Empirical test, panel data, fixed-effect model, IV and 2SLS were used in this paper. Findings The empirical results indicate that the mortgage effect does exist, and the authors further analyze the heterogeneity of this effect by dividing the sample based on the degree of financial development and property rights; the empirical results reveal that the mortgage effect is significantly higher in places with the high level of financial development. Besides, compared to the SOE enterprise, the mortgage effect has more influence on non-SOE companies. Research limitations/implications The results indicate that the mortgage effect should be considered when regulating housing market, and in order to improve the financing capability of company, its profitability and financial market efficiency should be emphasized. Originality/value This paper not only confirms the existence of the mortgage effect, but also explores its sustainability and heterogeneity, which reveals the risk and bubble in the effect of house market on enterprise financing, and enlightens how to promote financing ability of company.

Industry risk taking and risk-taking strategy of born-global firms

2019 ◽  
Vol 12 (1) ◽  
pp. 1-21
Author(s):  
Jing Huang ◽  
Linyu Liu ◽  
Ren Lu
Keyword(s):  
Risk Taking ◽  
Design Methodology ◽  
Fixed Effect Model ◽  
Born Global ◽  
Content Type ◽  
Related Variety ◽  
Effect Model ◽  
Industry Risk ◽  
The Relationship ◽  
Born Global Firms

Purpose The purpose of this paper is to study the relationship between industry risk taking and risk-taking strategy of born-global firms (BGs), and how industry-related variety moderates that relationship. Design/methodology/approach The authors apply fixed effect model to analyze 26,499 observations on 10,508 BGs in 276 Chinese cities. Findings The authors find that industry risk taking positively influences risk-taking strategy of BGs, and industry-related variety positively moderates such relationship. Originality/value The findings reveal how BGs formulate their risk-taking strategy given the dilemma of risk nature and hurdles in firm establishment and rapid internationalization. This paper extends understanding on BGs’ strategy making, supplements the theoretical framework on BGs with an integrated viewpoint containing “regional–industry–firm” levels and contributes to the industry variety argument.

Determinants of Islamic social reporting in Islamic banks of Pakistan

2020 ◽  
Vol 63 (1) ◽  
pp. 1-15
Author(s):  
Arif Hussain ◽  
Muhammad Khan ◽  
Alam Rehman ◽  
Shehnaz Sahib Zada ◽  
Shumaila Malik ◽  
...  
Keyword(s):  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Social Reporting ◽  
Islamic Banks ◽  
Content Type ◽  
Effect Model ◽  
Firm Profitability ◽  
Size Firm ◽  
One Step

Purpose This study aims to spotlight and explore various determinants of Islamic social reporting (ISR) in Islamic banks of Pakistan. Design/methodology/approach The authors have used firm size, firm profitability, firm age, board size and board independence as determinants of ISR. The authors collected data from Islamic banks listed on Pakistan Stock Exchange for the period 2012–2019. Multiple estimation techniques, i.e. fixed effect model, random effect model and one-step difference generalized method of moment (GMM), have been applied. Findings Random effect model was found to be more robust as compared to fixed effect model and one-step difference GMM. The results reported by the random effect model, preferred among the three, show that firm size, firm profitability, firm age and board size are important determinants of ISR in Islamic banks of Pakistan, while board independence does not determine social reporting for Islamic banks in Pakistan. Although social reporting in annual reports of Islamic banks in Pakistan is increasing, further improvement and compliance is required to ensure accountability and transparency in financial reporting as recommended by Islamic teachings. The study has certain managerial implications, especially for top management of Islamic banks. Originality/value To the best of the authors’ knowledge, this study is the first to discuss determinants of ISR in Islamic banks of Pakistan. The developed framework herein provides a precise guideline for Islamic banking to enhance their performance, which has never been discussed before.

scholarly journals Analisis Faktor-Faktor yang Mempengaruhi Jumlah Penduduk di Kota Semarang Menggunakan Metode Regresi Data Panel

2019 ◽  
Vol 12 (2) ◽  
pp. 36-41
Author(s):  
Prizka rismawati Arum
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Geographical Area ◽  
Random Effect Model ◽  
Factors Affecting ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Relationship ◽  
Number Of Births

Residents are all people who live in the geographical area of Indonesia for six months or more and or those who have been domiciled for less than six months but aim to settle. Population growth is caused by two components, namely: fertility and mortality. To find out how big the relationship between the  population and the number of births and deaths in each sub-district of Semarang, must observed in several specific time periods and places at once. So in this study, the panel data regression method was used. In panel data regression testing, the results show that the panel data regression model formed to determine the factors that influence the level of population is the random effect model. In this model all assumptions are fulfilled. Significant factors affecting population are number of births. Births and deaths affect the population of 99.95% and the remaining 0.05% is influenced by other factors not examined Penduduk adalah semua orang yang berdomisili di wilayah geografis Indonesia selama enam bulan atau lebih dan atau mereka yang berdomisili kurang dari enam bulan tetapi bertujuan menetap. Pertumbuhan penduduk diakibatkan oleh dua komponen yaitu: fertilitas dan mortalitas. Untuk mengetahui seberapa besar keterkaitan antara jumlah penduduk dengan jumlah kelahiran dan kematian di setiap kecamataan Kota Semarang, harus diamati dalam beberapa periode waktu tertentu dan beberapa tempat secara bersamaan. Sehingga dalam penelitian ini digunakan metode regresi data panel. Dalam pengujian regresi data panel, didapatkan hasil bahwa Model regresi data panel yang terbentuk untuk mengetahui faktor-faktor yang mempengaruhi tingkat jumlah penduduk adalah model random Effect. Pada model tersebut semua asumsi terpenuhi. Faktor yang signifikan mempengaruhi jumlah penduduk adalah jumlah kelahiran. Kelahiran dan kematian mempengaruhi jumlah penduduk sebesar 99.95% dan sisanya sebesar 0.05% dipengaruhi oleh faktor- faktor lain yang tidak di teliti.    

A study of receiving money by issuing defective deposit receipts

2020 ◽  
Vol 23 (2) ◽  
pp. 457-476
Author(s):  
Chengjing You
Keyword(s):  
Criminal Law ◽  
Design Methodology ◽  
Content Type ◽  
The Real ◽  
Severe Punishment ◽  
The One ◽  
The Relationship ◽  
One Act ◽  
Severe Penalty

Purpose This paper aims to convict the offender of real concurrence offenses of the most severe offense and applying the most severe penalty will result in no distinction between the perpetrator who conducted more than one act and the one who conducted only one act. This approach deviates from the purpose of criminal law. The real concurrence of offenses means several offenses, the perpetrator’s dangerousness and culpability are much higher than the perpetrator who commits just one crime, so combined punishments for several offenses should be applied to the real concurrence of offenses. Design/methodology/approach If the depositors are acquaintances or relatives and friends, the relationship can be explained by “personality trust.” If the depositors are strangers, but they have complied with their duties of care, the deposit relationship can be explained by “system trust.” Findings The real concurrence of offenses means several offenses, the perpetrator’s dangerousness and culpability are much higher than the perpetrator who commits just one crime, so combined punishments for several offenses should be applied to the real concurrence of offenses. Originality/value The principle of choosing the most severe punishment applied to the real concurrence of offense should be abolished. As the perpetrator separately conducts two acts at different times, these acts infringe on different legal interests. Although these acts exist closely, the authors cannot deny that these acts constitute more than one offense.

The neighborhood effect of online reviews

2019 ◽  
Vol 2 (3) ◽  
pp. 262-283
Author(s):  
Dong Liang ◽  
Xia Wang
Keyword(s):  
Design Methodology ◽  
Negative Impact ◽  
Online Reviews ◽  
Neighborhood Effect ◽  
Moderating Effects ◽  
Content Type ◽  
Negative Effect ◽  
Using Data ◽  
The Impact ◽  
The Relationship

Purpose Online reviews have been indicated to play an important role in consumers’ decision-making process, as supported by numerous studies. However, none of them has considered the neighborhood effect of online reviews. The purpose of this paper is to analyze the impact of neighbor store’s reviews on central store’s, along with the moderating effects of store density and product similarity. Design/methodology/approach Using data from dianping.com, this study conducts economic analysis accounting for endogeneity. Findings The results show that the neighbor store’s reviews exert a negative impact on that of central stores. Nevertheless, the relationship is moderated by store density and product similarity, such that the negative effect is stronger if there are a lot of stores around the central store, or if the neighbor store and central store provide similar products. Originality/value This study is the first to investigate the neighborhood effect of online reviews.

The Relationship between environmental Financial accounting practices and Financial performance of industrial listed companies in Palestine Stock Exchange

2021 ◽  
pp. 12-31
Author(s):  
Nedal Fareed Abdallah
Keyword(s):  
Financial Performance ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Listed Companies ◽  
Least Square ◽  
Financial Accounting ◽  
Listed Firms ◽  
Effect Model ◽  
The Relationship

The research aimed to investigate the applicability of environmental financial accounting practices in the industrial listed companies in Palestine Exchange and to examine the relationship between the disclosure level of environmental financial accounting practices on the company’s financial performance. The research adopted the descriptive-analytical approach, and the analysis method involved a content analysis of the annual financial reports data which were collected from Industrial listed firms on the Palestine Stock Exchange for the period from 2015 to 2019, including the firms disclosed and not disclose EFAP. Ordinary least square (OLS), fixed effect model (FEM), and random effect model (REM) were employed for processing the data. The results reveal that there is a relationship between the EFAP and financial performance. In addition, there is a difference in financial performance between the group of firms disclosed and not disclosed EFAP. Based on the findings, some recommendations are given for motivating EFAP in the listed firms for improving financial performance.

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