Effective playing time in the Chinese Super League

2020 ◽  
pp. 174795412096575
Author(s):  
Yangqing Zhao ◽  
Hui Zhang
Keyword(s):  
Mixed Model ◽  
Linear Mixed Model ◽  
Negative Impact ◽  
Positive Impact ◽  
Audience Participation ◽  
Half Time ◽  
Crossed Random Effects ◽  
Significant Negative Impact ◽  
Playing Time ◽  
Super League

The purpose of this study was to analyse the effective playing time during the 2012-2018 Chinese Super League seasons. A linear mixed model with crossed random effects was used to assess the effects of match and technique characteristics on effective playing time. The key findings are as follows. (1) Matches played between the top eight teams, a tie at half time and increased audience participation were associated with reduced effective playing time; (2) The effective playing time tended to be smaller in matches with red cards than in matches without red cards. In contrast, the effective playing time did not significantly vary among the outcomes of the matches; (3) Game interruptions (goals, corner-kicks, free-kicks and throw-ins) and destructive actions (yellow cards, red cards and fouls) had a significant negative impact on the effective playing time, while productive actions (shots on target) had a significant positive impact on the effective playing time.

scholarly journals Socioeconomic Conditions and Landowners’ Perception Affect the Intention to Restore Polylepis Forests in the Central Andes of Peru

Forests ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 118
Author(s):  
Lunel Joseph ◽  
Raúl Marino Yaranga Cano ◽  
Marco Arizapana-Almonacid ◽  
Marcela Venelli Pyles ◽  
Flávia Freire de Siqueira ◽  
...  
Keyword(s):  
Rural Communities ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Negative Impact ◽  
Positive Impact ◽  
Central Andes ◽  
Socioeconomic Conditions ◽  
Native Flora ◽  
The Family ◽  
Andes Region

Research Highlights: Families more dependent on crops as the main source of income of properties have a greater intention of restoring Polylepis forest areas. However, this intention reduces with the increase of family dependence on subsistence products supplied by Polylepis forests. Properties where the chances of restoration of Polylepis forests are greater are those where the educational and technical level is better. Objectives: We aimed to comprehend which socioeconomic factors of rural properties and families’ perception were determinant for the intention to restore Polylepis forests in the Central Andes region of Peru. Material and Methods: We collected data through visits and the application of questionnaires. We selected 13 rural communities in the Tulumayo River Basin. We randomly sampled 10 to 20 families in each community, depending on its size, totaling 200 families. We used generalized linear mixed model (GLMM) to test which variables affect the intention to restore the forest. Results: When crops are the main source of income in the property, the families have more intention to restore Polylepis areas, on the other hand, when Polylepis forests are an important source of products for the family subsistence, the intention to restore forests reduces, indicating that higher technological status has a positive impact on restoration. The perception that Polylepis forests are important for the existence of water sources had a positive impact on the families’ intention to restore the areas. However, the perception that Polylepis forests are important for native flora persistence had a negative impact on the intention to restore their areas. Conclusions: Our results showed that investment in improving the productivity of the properties and in the education of their landowners should increase the success of eventual programs for restoration of Polylepis forests.

The Impact of the Business Environment on the Formalization of Informal Firms. The Case of Kosovo

Südosteuropa ◽  
2020 ◽  
Vol 68 (4) ◽  
pp. 505-529
Author(s):  
Kujtim Zylfijaj ◽  
Dimitar Nikoloski ◽  
Nadine Tournois
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
Business Environment ◽  
Positive Influence ◽  
Policy Implications ◽  
Tax Reforms ◽  
Firm Level ◽  
Characteristics Analysis ◽  
Significant Negative Impact ◽  
The Impact

AbstractThe research presented here investigates the impact of the business environment on the formalization of informal firms, using firm-level data for 243 informal firms in Kosovo. The findings indicate that business-environment variables such as limited access to financing, the cost of financing, the unavailability of subsidies, tax rates, and corruption have a significant negative impact on the formalization of informal firms. In addition, firm-level characteristics analysis suggests that the age of the firm also exercises a significant negative impact, whereas sales volume exerts a significant positive impact on the formalization of informal firms. These findings have important policy implications and suggest that the abolition of barriers preventing access to financing, as well as tax reforms and a consistent struggle against corruption may have a positive influence on the formalization of informal firms. On the other hand, firm owners should consider formalization to be a means to help them have greater opportunities for survival and growth.

scholarly journals Analysis of User Needs on Downloading Behavior of English Vocabulary APPs Based on Data Mining for Online Comments

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1341
Author(s):  
Tinggui Chen ◽  
Lijuan Peng ◽  
Jianjun Yang ◽  
Guodong Cong
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
User Needs ◽  
User Requirements ◽  
Functional Requirements ◽  
User Comments ◽  
Online Comments ◽  
Significant Negative Impact ◽  
Negative Effect ◽  
New Type

With highly developed social media, English learning Applications have become a new type of mobile learning resources, and online comments posted by users after using them have not only become an important source of intellectual competition for enterprises, but can also help understand customers’ requirements, thereby improving product functionalities and service quality, and solve the pain points of product iteration and innovation. Based on this, this paper crawled the online user comments of three typical APPs (BaiCiZhan, MoMoBeiDanCi and BuBeiDanCi), through emotion analysis and hotspot mining technology, to obtain user requirements and then the K-means clustering method was used to analyze user requirements. Finally, quantile regression is used to find out which user needs have an impact on the downloads of English vocabulary APPs. The results show that: (1) Positive comments have a more significant impact on users’ downloads behavior than negative online comments. (2) English vocabulary APPs with higher downloads, both the 5-star user ratings and the increase of emotional requirement have a negative effect on the increase in APP downloads, while the enterprise’s service requirement improvement has a positive effect on the increase of APP downloads. (3) Regarding English vocabulary APPs with average or high downloads, improving the adaptability and Appearance requirements have significant negative impact on downloads. (4) The functional requirements to improve products will have a significant positive impact on the increase in downloads of English vocabulary APPs.

scholarly journals Environmental controls on the increasing GPP of terrestrial vegetation across northern Eurasia

2016 ◽  
Vol 13 (1) ◽  
pp. 45-62 ◽  
Author(s):  
P. Dass ◽  
M. A. Rawlins ◽  
J. S. Kimball ◽  
Y. Kim
Keyword(s):  
Forest Fires ◽  
Environmental Control ◽  
Negative Impact ◽  
Positive Impact ◽  
Terrestrial Ecosystems ◽  
Northern Eurasia ◽  
Terrestrial Vegetation ◽  
The South ◽  
Environmental Controls ◽  
Significant Negative Impact

Abstract. Terrestrial ecosystems of northern Eurasia are demonstrating an increasing gross primary productivity (GPP), yet few studies have provided definitive attribution for the changes. While prior studies point to increasing temperatures as the principle environmental control, influences from moisture and other factors are less clear. We assess how changes in temperature, precipitation, cloudiness, and forest fires individually contribute to changes in GPP derived from satellite data across northern Eurasia using a light-use- efficiency-based model, for the period 1982–2010. We find that annual satellite-derived GPP is most sensitive to the temperature, precipitation and cloudiness of summer, which is the peak of the growing season and also the period of the year when the GPP trend is maximum. Considering the regional median, the summer temperature explains as much as 37.7 % of the variation in annual GPP, while precipitation and cloudiness explain 20.7 and 19.3 %. Warming over the period analysed, even without a sustained increase in precipitation, led to a significant positive impact on GPP for 61.7 % of the region. However, a significant negative impact on GPP was also found, for 2.4 % of the region, primarily the dryer grasslands in the south-west of the study area. For this region, precipitation positively correlates with GPP, as does cloudiness. This shows that the south-western part of northern Eurasia is relatively more vulnerable to drought than other areas. While our results further advance the notion that air temperature is the dominant environmental control for recent GPP increases across northern Eurasia, the role of precipitation and cloudiness can not be ignored.

scholarly journals Impact of Perceived Academic Advisor Support on Academic Motivation

2021 ◽  
Vol 11 (2) ◽  
pp. 168
Author(s):  
Li Sun ◽  
Ning Cheng
Keyword(s):  
Autonomy Support ◽  
Academic Motivation ◽  
Negative Impact ◽  
Positive Impact ◽  
Academic Career ◽  
Ministry Of Education ◽  
Credit System ◽  
Academic Advisor ◽  
Student Autonomy ◽  
Significant Negative Impact

Improving the credit system is a new requirement of the Ministry of Education of China. The academic advisor system is an essential part of the credit system management and plays an important role in the planning and guidance of students’ academic career. Therefore, this paper studies the influence of students’ perception of academic advisor support on academic motivation. It surveyed 455 undergraduates from universities and colleges in Henan Province that implemented the academic advisor system, and found that students have a high degree of academic motivation. The main results of the research are as follows: 1) Freshmen’s perception of academic advisor support is higher than that of senior students; 2) Perceived autonomy support and engagement support have a significantly positive impact on intrinsic academic motivation; 3) Perceived opportunity support has a significantly positive impact on extrinsic academic motivation; 4) Perceived relationships support has a significant negative impact on amotivation. This research can help higher education workers to value student autonomy in learning, actively communicate with students, and provide resource support for the realization of student goals.

Gravity Models of China's Bamboo and Rattan Products Exports: Applications to Trade Potential Analysis

2019 ◽  
Vol 69 (4) ◽  
pp. 337-344
Author(s):  
Li Huang ◽  
Ke Chen ◽  
Mi Zhou ◽  
Brendan Nuse
Keyword(s):  
Bilateral Trade ◽  
Negative Impact ◽  
Positive Impact ◽  
Trade Flows ◽  
Gravity Models ◽  
Asia Pacific ◽  
Trading Partners ◽  
Significant Negative Impact ◽  
Trade Potential ◽  
Economic Size

Abstract Using export panel data for China and 24 bamboo and rattan trading partners from 2007 to 2017, this study simulates the export trade of Chinese bamboo and rattan products using a gravity model. Our results showed that economic size has a significant positive impact on the bilateral trade of bamboo and rattan products, while absolute distance between two major economic centers and population size have a significant negative impact. Furthermore, relevant Asia-Pacific Economic Cooperation (APEC) trade arrangements have an impact on bamboo and rattan product trade flows from China. Meanwhile, trade of bamboo and rattan between China and APEC countries such as South Korea, Canada, Russia, and Thailand shows much room for growth.

scholarly journals What Drives Bank Profitability? A Panel Data Analysis of Commercial Banks in Bangladesh

2021 ◽  
Vol 10 (2) ◽  
pp. 96-110
Author(s):  
Rana-Al-Mosharrafa ◽  
Md. Shahidul Islam
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Mediation Effect ◽  
Industry Concentration ◽  
Equation Modeling ◽  
Bank Profitability ◽  
Macroeconomic Variables ◽  
Significant Negative Impact ◽  
The Impact

Bank profitability plays a significant role in the growth and development of an emerging economy. The purpose of the study was to examine the impact of bank characteristics, industry concentration and macroeconomics variables on commercial bank profitability in Bangladesh from 2007-2017. Bank profitability is proxied by return on assets (ROA), return on equity (ROE) and net interest margin (NIM). The study is based on secondary data and Hausman test has been performed using STATA software in favor of fixed effect modeling. Panel regressions shows that cost efficiency has significant negative impact on ROA and NIM. The positive impact of loan to deposit ratio with ROA suggests that efficient fund management including investment and assessed expenditure should be emphasized. Bank size has significant negative impact on all the measures of profitability, which indicates that monopolistic competition will reduce banking profit. Credit risk has significant positive impacts on ROE. Industry concentration measured by CR3 is positively related with ROE and has significant negative relation with bank profitability (ROA). Among macroeconomic variables inflation has significant positive and bank spread has significant negative impact on ROE. The coefficients of all the macroeconomic variables have been found to be significantly related to bank profitability while measured by NIM. Our study recommends further research with other explanatory variables such as, corporate governance, corporate social responsibility (CSR) and deposit insurance to accelerate the model and construct the econometric model by using structural equation modeling, mediation effect modeling etc.

scholarly journals Relationship between Earning Multiples, Corporate Governance and Earnings Management Practices: An Empirical View with a Mediation Analysis

2019 ◽  
Vol IV (I) ◽  
pp. 387-395
Author(s):  
Syeda Faiza Urooj ◽  
Muhammad Anees Khan ◽  
Muzammal Ilyas Sindhu
Keyword(s):  
Corporate Governance ◽  
Audit Committee ◽  
Management Practices ◽  
Negative Impact ◽  
Positive Impact ◽  
Random Effect ◽  
Random Effect Model ◽  
Mediation Process ◽  
New Findings ◽  
Significant Negative Impact

This paper investigated the effect of corporate governance in improving the earnings multiple and reducing the discretionary accruals. This study developed four econometrics models. Random effect model employed for examining the first three econometric models, while for the fourth econometric model study used Andrew F. Hayes mediation process. Results suggest that BOD size, BOD meetings and audit committee size has a significant positive impact on earnings multiples, while earnings multiples have a negative impact on dictionary accrual. Moreover, BOD size and audit committee size has a significant negative impact on dictionary accrual, whereas BOD meetings and employee ownership has a significant positive impact on dictionary accrual. The results further revealed the novel link that earnings multiples partially mediate the relationship between corporate governance variables and dictionary accrual. The new findings provide important insights for all the stakeholders like government, practitioners, academia, researchers, banks, Bursa Malaysia, security commission and public listed companies.

scholarly journals Scoring Models and Credit Risk: The Case of Cooperative Banks in Poland

Risks ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 132
Author(s):  
Krzysztof Kil ◽  
Radosław Ciukaj ◽  
Justyna Chrzanowska
Keyword(s):  
Statistical Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Review Of The Literature ◽  
Management Board ◽  
Panel Model ◽  
Significant Negative Impact ◽  
Cooperative Banks ◽  
Lending Activity ◽  
The Impact

The aim of the research presented in the article was to analyse the legitimacy of the use of scoring models in banking activities, together with the assessment of the effectiveness of this tool in reducing the high value of the NPL ratio in Polish cooperative banks on the example of banks belonging to the BPS S.A. association in the period between 2004 and 2020. We used a variety of research methods for this purpose including a depth review of the literature, analysis of statistical data regarding the sector of Polish cooperative banks, analysis of financial data of cooperative banks, construction of an econometric panel model, and the designing a questionnaire (which was later sent to the management board of selected cooperative banks). Our research confirmed the significant impact of the use of scoring models in lending activities on the value of the NPL ratio in cooperative banks. The analysed cooperative banks, which used the scoring models proposed by BIK in their lending activity, showed significantly lower values of the NPL ratio in each analysed year than banks that used other scoring models. Our study also confirmed the different direction of the impact of the models offered by BIK and individual scoring models on the value of the NPL ratio. We have also shown that the scoring models proposed by BIK have a statistically significant negative impact on the level of the NPL ratio, and the banks’ own scoring models have a statistically significant positive impact on the level of the NPL ratio.

scholarly journals Model Kinerja Finansial Pemerintah Daerah Melalui Aset dan Pendapatan Asli Daerah

2021 ◽  
Vol 18 (1) ◽  
pp. 36
Author(s):  
Kun Ismawati
Keyword(s):  
Financial Performance ◽  
Negative Impact ◽  
Positive Impact ◽  
Capital Expenditure ◽  
Linear Regression Analysis ◽  
Financial Statements ◽  
Multiple Linear Regression Analysis ◽  
Regional Government ◽  
Significant Negative Impact ◽  
The Impact

ABSTRACT  The research aimed to explore financial performance’s model of the Karanganyar Regency Regional Government. This research tested the impact of size, richness, leverage, and capital expenditure on the financial performance of the Karanganyar Regency Regional Government. Research data were 8 (eight) periods of financial statements. Hypotheses analyzed with multiple linear regression. Analysis results showed that size and richness have a significant positive impact on the financial performance of Karanganyar Regency Regional Government; while leverage and capital expenditure have a significant negative impact on the financial performance of the Karanganyar Regional Government. Those results illustrates that greater size and richness will increase the financial performance; on the contrary, the greater leverage and capital expenditure will decrease the financial performance. The model explored is Y = -75.79 + 109.039X1 + 3.754X2 – 0.582X3 – 0.231X4. Keywords                    : size; richness; leverage; capital expenditure; regional government                                      financial performanceCorrespondence to        : [email protected] ABSTRAK Penelitian ini bertujuan menggali model kinerja finansial Pemerintah Daerah Kabupaten Karanganyar. Penelitian ini menguji pengaruh ukuran, kekayaan, leverage, dan belanja modal pada kinerja finansial Pemerintah Daerah Kabupaten Karanganyar. Data penelitian ini adalah 8 (delapan) periode laporan keuangan. Hipotesis dianalisis dengan regresi linear berganda. Hasil analisis menunjukkan bahwa ukuran dan kekayaan memiliki dampak positif signifikan pada kinerja finansial Pemerintah Daerah Kabupaten Karanganyar; sedangkan leverage dan belanja modal memiliki dampak negatif signifikan terhadap kinerja finansial pada Pemerintah Daerah Kabupaten Karanganyar. Hasil-hasil tersebut menggambarkan bahwa makin besar ukuran dan kekayaan akan meningkatkan kinerja finansial; sebaliknya, makin besar leverage dan belanja modal akan menurunkan kinerja finansial. Model yang tergali adalah: Y = -75.79 + 109.039X1 + 3.754X2 – 0.582X3 – 0.231X4. Kata kunci                  : ukuran; kekayaan; leverage; belanja modal; kinerja finansial                                      pemerintah daerah

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