scholarly journals MACROECONOMIC STABILITY AND TRANSPORT COMPANIES’ SUSTAINABLE DEVELOPMENT IN THE EASTERN EUROPEAN UNION

2021 ◽  
Vol 0 (0) ◽  
pp. 1-14
Author(s):  
Michał Comporek ◽  
Magdalena Kowalska ◽  
Anna Misztal
Keyword(s):  
Sustainable Development ◽  
Least Square Method ◽  
Least Square ◽  
Eastern European ◽  
Economic Policies ◽  
Ordinary Least Square ◽  
Pearson's R ◽  
The Relationship ◽  
Pearson’S R ◽  
Macroeconomic Stability

The paper’s primary aim is to evaluate the influence of macroeconomic stability on transport companies’ sustainable development in the eastern EU from 2008 to 2019. The first part discusses the theoretical problems. The empirical part includes the methodology, results of the research and conclusions. To determine the relationship between variables, we use Pearson’s R and the Ordinary Least Square Method. The contribution to knowledge is using the pentagon of macroeconomic stability to evaluate macroeconomic stabilisation’s influence on transport companies’ sustainable development. The results indicate that macroeconomic stability is one of the essential determinants of the transport companies’ sustainable development. According to Pearson’s R, the highest level of dependence is in Slovenia (0.96), Bulgaria (0.9), and Slovenia (0.83). The lowest is in Latvia (0.69). The OLS regression results indicate that the highest significance is in Slovakia (α1 = 1.994), the lowest is in Lithuania (α1 = 0.691). The states’ economic policies should favour the freedom to conduct business, create appropriate legal regulations, and support ecological investments. It is necessary to act for a stable and fair tax system, ensure access to finance. The issue is contemporary and requires further analysis.

scholarly journals Pengujian Empiris Pengaruh Ketidakpastian Kebijakan Ekonomi Amerika Serikat Terhadap Dinamika Perekonomian Indonesia

2020 ◽  
Vol 7 (1) ◽  
pp. 82
Author(s):  
Suwito Suwito ◽  
Siswoyo Hari Santosa ◽  
Duwi Yunitasari
Keyword(s):  
Economic Growth ◽  
Economic Policy ◽  
Exchange Rates ◽  
Least Square Method ◽  
Developed Countries ◽  
The United States ◽  
Least Square ◽  
Economic Policies ◽  
Ordinary Least Square ◽  
The Relationship

The global economic uncertainy situation is one of the phenomena that occurs at this time. Erratic economic policies in developed countries have an impact on the economy in developing countries. This study analyzes the influence of uncertainty in US economic policy on the dynamics of the Indonesian economy. Estimates using the Ordinary Least square method are used to determine the relationship between variables. Then the data used in this study began in 1998Q1-2016Q4. The estimation results show that the dynamics of uncertainty in US economic policies have a significant effect on the Indonesian economy. EPU variables, US exchange rates, and have a significant effect on Indonesia's economic growth. This result is proven by the IRF which indicates the response from the EPU fluctuation which was responded to by the GDP variable in Indonesia. These conditions indicate that the uncertainty of the economic policies of the United States affects the performance of the Indonesian economy.

scholarly journals A Study on the Relationship between Earnings Quality and Capital Cost-Takes the China Listed Companies as a Sample

2021 ◽  
pp. 48-56
Author(s):  
Chih-Yi Hsiao ◽  
Hui-Hui Kuang ◽  
Hui-Ling Li ◽  
Jia-Li Liu
Keyword(s):  
Earnings Management ◽  
Earnings Quality ◽  
Least Square Method ◽  
Listed Companies ◽  
Capital Cost ◽  
Least Square ◽  
Accounting System ◽  
Ordinary Least Square ◽  
Research Findings ◽  
The Relationship

The phenomenon of false financial statements still exists. However, in addition to the risk of being punished, what kind of price do companies have to pay? In recent decades, with China's rapid progress in economic, the relevant accounting system and corporate governance standards are actively improving, and the earnings quality is improving. This paper takes China's listed companies from 2015 to 2019 as samples, and adopts quantile regression supplemented by ordinary least square method to explore the relationship between earnings quality and capital cost. The research findings show that the higher the earnings management, the higher the capital cost, especially for the company with low capital cost. Nevertheless, for the extremely company with high capital cost, earnings management can reduce the capital cost. The research results can provide the focus of regulators of listed companies and reference for the revision of relevant accounting system.

scholarly journals INNOVATION CAPACITY, BUSINESS SOPHISTICATION AND MACROECONOMIC STABILITY: EMPIRICAL EVIDENCE FROM OECD COUNTRIES

2019 ◽  
Vol 20 (2) ◽  
pp. 351-367 ◽  
Author(s):  
Dervis Kirikkaleli ◽  
Alper Ozun
Keyword(s):  
Time Series ◽  
Oecd Countries ◽  
Least Square ◽  
Ordinary Least Square ◽  
Long Run ◽  
Causality Tests ◽  
Innovation Capacity ◽  
Single Dataset ◽  
The Relationship ◽  
Macroeconomic Stability

The main aim of this study is to explore the linkages between innovation capacity, business sophistication, and macroeconomic stability within OECD countries. In order to obtain information regarding the relationship between time series variables, the Pedroni cointegration, Kao cointegration, fully modified ordinary least square, dynamic ordinary least square, Granger causality, and Dumitrescu Hurlin causality tests are employed. The empirical results reveal that improvement in business sophistication triggers innovation capacity and support macroeconomic stability. Innovation capacity would also need to be expanded in the long-run, which positively leads to advanced business sophistication that has a cyclical effect. If policymakers intend to accelerate business sophistication, then their attention should be directed towards maximizing the economic indicators in the long-run. To the best of our knowledge, the linkage between innovation capacity, business sophistication and macroeconomic stability in OECD countries has not been comprehensively explored through the use of a single dataset. Thus, the findings of this study could lead to a new debate regarding the concept.

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

The Impact of Competitive Quasi-Market on Service Delivery in Benue State University, Makurdi Nigeria

GIS Business ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. 85-98
Author(s):  
Idoko Peter
Keyword(s):  
Service Delivery ◽  
A Priori ◽  
Least Square ◽  
Secondary Source ◽  
State University ◽  
Ordinary Least Square ◽  
Negative Effect ◽  
The Impact ◽  
The Relationship

This research the impact of competitive quasi market on service delivery in Benue State University, Makurdi Nigeria. Both primary and secondary source of data and information were used for the study and questionnaire was used to extract information from the purposively selected respondents. The population for this study is one hundred and seventy three (173) administrative staff of Benue State University selected at random. The statistical tools employed was the classical ordinary least square (OLS) and the probability value of the estimates was used to tests hypotheses of the study. The result of the study indicates that a positive relationship exist between Competitive quasi marketing in Benue State University, Makurdi Nigeria (CQM) and Transparency in the service delivery (TRSP) and the relationship is statistically significant (p<0.05). Competitive quasi marketing (CQM) has a negative effect on Observe Competence in Benue State University, Makurdi Nigeria (OBCP) and the relationship is not statistically significant (p>0.05). Competitive quasi marketing (CQM) has a positive effect on Innovation in Benue State University, Makurdi Nigeria (INVO) and the relationship is statistically significant (p<0.05) and in line with a priori expectation. This means that a unit increases in Competitive quasi marketing (CQM) will result to a corresponding increase in innovation in Benue State University, Makurdi Nigeria (INVO) by a margin of 22.5%. It was concluded that government monopoly in the provision of certain types of services has greatly affected the quality of service experience in the institution. It was recommended among others that the stakeholders in the market has to be transparent so that the system will be productive to serve the society effectively

scholarly journals Does Foreign Direct Investment Influence Renewable Energy Consumption? Empirical Evidence from South Asian Countries

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3470
Author(s):  
Xueqing Kang ◽  
Farman Ullah Khan ◽  
Raza Ullah ◽  
Muhammad Arif ◽  
Shams Ur Rehman ◽  
...  
Keyword(s):  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Sri Lanka ◽  
South Asian ◽  
Environmental Sustainability ◽  
Direct Investment ◽  
Least Square ◽  
Asian Countries ◽  
Ordinary Least Square ◽  
The Relationship

In selected South Asian countries, the study intends to investigate the relationship between urban population (UP), carbon dioxide (CO2), trade openness (TO), gross domestic product (GDP), foreign direct investment (FDI), and renewable energy (RE). Fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models for estimation were used in the study, which covered yearly data from 1990 to 2019. We used Levin–Lin–Chu, Im–Pesaran–Shin, and Fisher PP tests for the stationarity of the variables. The outcomes of the panel cointegration approach looked at whether there was a long-run equilibrium nexus between selected variables in Pakistan, Bangladesh, India, and Sri Lanka. The FMOLS approach was also used to assess the relationship, and the results suggest that there is a significant and negative nexus between FDI and renewable energy in south Asian nations. The study’s findings reveal a strong and favorable relationship between GDP and renewable energy use. In South Asian nations (Sri Lanka, Pakistan, India, and Bangladesh), the FMOLS and DOLS findings are nearly identical, but the authors used the DOLS model for robustification. According to the findings, policymakers in South Asian economies (Sri Lanka, Pakistan, India, and Bangladesh) should view GDP and FDI as fundamental policy instruments for environmental sustainability. To reduce reliance on hazardous energy sources, the government should also reassure financial sectors to participate in renewable energy.

scholarly journals Dominance of Fossil Fuels in Japan’s National Energy Mix and Implications for Environmental Sustainability

2021 ◽  
Vol 18 (14) ◽  
pp. 7347
Author(s):  
Tomiwa Sunday Adebayo ◽  
Abraham Ayobamiji Awosusi ◽  
Seun Damola Oladipupo ◽  
Ephraim Bonah Agyekum ◽  
Arunkumar Jayakumar ◽  
...  
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Natural Gas ◽  
Co2 Emissions ◽  
Environmental Sustainability ◽  
Least Square ◽  
Kuznets Curve ◽  
Gas Oil ◽  
Energy Mix ◽  
Ordinary Least Square

Despite the drive for increased environmental protection and the achievement of the Sustainable Development Goals (SDGs), coal, oil, and natural gas use continues to dominate Japan’s energy mix. In light of this issue, this research assessed the position of natural gas, oil, and coal energy use in Japan’s environmental mitigation efforts from the perspective of sustainable development with respect to economic growth between 1965 and 2019. In this regard, the study employs Bayer and Hanck cointegration, fully modified Ordinary Least Square (FMOLS), and dynamic ordinary least square (DOLS) to investigate these interconnections. The empirical findings from this study revealed that the utilization of natural gas, oil, and coal energy reduces the sustainability of the environment with oil consumption having the most significant impact. Furthermore, the study validates the environmental Kuznets curve (EKC) hypothesis in Japan. The outcomes of the Gradual shift causality showed that CO2 emissions can predict economic growth, while oil, coal, and energy consumption can predict CO2 emissions in Japan. Given Japan’s ongoing energy crisis, this innovative analysis provides valuable policy insights to stakeholders and authorities in the nation’s energy sector.

Approximation of the Kinematics of Foot Joints by Using Passive Elastic Characteristics of Joint

2007 ◽  
Vol 342-343 ◽  
pp. 621-624
Author(s):  
Hyeon Ki Choi ◽  
Si Yeol Kim ◽  
Won Hak Cho
Keyword(s):  
Joint Angle ◽  
Reaction Force ◽  
Force Plate ◽  
Least Square Method ◽  
Least Square ◽  
Biomechanical Analysis ◽  
Clinical Evaluations ◽  
Foot Joints ◽  
The Relationship ◽  
Elastic Characteristics

We investigated the relationship between kinematic and kinetic characteristics of foot joints resisting ground reaction force (GRF). Passive elastic characteristics of joint were obtained from the experiment using three cameras and one force plate. The relationship between joint angle and moment was mathematically modeled by using least square method. The calculated ranges of motion were 7o for TM joint, 4o for TT joint and 20o for MP joint. With the model that relates joint angle and plantar pressure, we could get the kinematic data of the joints which are not available from conventional motion analysis. The model can be used not only for biomechanical analysis which simulates gait but also for the clinical evaluations.

Parameters Identification for Nonlinear Duffing System Based on Wavelet Transformation

2013 ◽  
Vol 357-360 ◽  
pp. 1524-1530
Author(s):  
Shi Zhou ◽  
Dong Mei Huang ◽  
Wei Xin Ren ◽  
Qiong Li Wang
Keyword(s):  
Forced Vibration ◽  
Wavelet Transformation ◽  
Recognition Accuracy ◽  
Vibration Signal ◽  
Least Square Method ◽  
Least Square ◽  
Instantaneous Amplitude ◽  
Approximate Analytical Expression ◽  
Duffing System ◽  
The Relationship

Continuous wavelet transformation is made to identify the parameters of damped harmonic forced vibration Duffing system. With the aid of conversion relationship between the scale and frequency, the solution of nonlinear Duffing equation is adopted by average method, which gained approximate analytical expression for instantaneous amplitude and instantaneous frequency of the system. The nonlinear stiffness coefficient and natural frequency can be gained by least square method and the relationship between recognition accuracy and parameter selection are summarized in the article. Parameter identification method of harmonic forced vibration system is proposed in this paper. Studying the wavelet ridge and corresponding scale by segments to filter out the affects of the simple harmonic motion, to extract systems free vibration signal and to achieve the goal of identifying system parameters.

Islamic calendar and stock market behaviour in India

2018 ◽  
Vol 45 (11) ◽  
pp. 1550-1566
Author(s):  
Dharani Munusamy
Keyword(s):  
Stock Market ◽  
Least Square Method ◽  
Least Square ◽  
Stock Market Returns ◽  
Content Type ◽  
Ordinary Least Square ◽  
Average Return ◽  
Year Effect ◽  
The Common ◽  
The Impact

Purpose The purpose of this paper is to examine the behavior of the stock market returns in the different days of the week and different months of the year in accordance with the Islamic calendar. Further, the study estimates the risk-adjusted returns to test the performance of the indices during the Ramadan and non-Ramadan days. Finally, the study investigates the impact of Ramadan on the returns and the volatility of the stock market indices in India. Design/methodology/approach Initially, the study applies the Ordinary Least Square method to test the day-of-the-week and the month-of-the-year effect of the common and Shariah indices. Next, the study employs the risk-adjusted measurement to examine the underperformance and over-performance of the indices for both the periods. Finally, the study estimates the GARCH (1,1) and GJR-GARCH (1,1) models to observe the impact of Ramadan on the returns and the volatility of the Shariah indices in India. Findings The study finds that an average return of the indices during the Ramadan days are higher than non-Ramadan days. Further, the average returns of the Shariah indices are significantly higher on Wednesday than other days of the week. In addition, the highest and significant mean returns and mean risk-adjusted returns of the indices during the Ramadan days are observed. Finally, the study finds an evidence of the Ramadan effect on the returns and volatility of the indices in India. Originality/value The study observes evidence that the Ramadan effect influences the Shariah indices, but not the common indices in the stock market of the non-Muslim countries. It indicates that the Ramadan creates the positive mood and emotions in the investors buying and selling activities. The study suggests that investors can buy the shares before Ramadan period and sell them during the Ramadan days to get an abnormal return in the emerging markets.

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