scholarly journals An Empirical Study of the Relationship between the Ranking of America’s Top States for Business and Unemployment Rate, Growth Rate of Employment, and Growth Rate of Gross State Product

2020 ◽  
Vol 10 (3) ◽  
pp. 137
Author(s):  
Yun-Chen Morgan ◽  
Yu Hsing ◽  
Antoinette S. Phillips ◽  
Carl Phillips
Keyword(s):  
Growth Rate ◽  
Regression Analysis ◽  
Empirical Study ◽  
Unemployment Rate ◽  
Economic Performance ◽  
Economic Indicators ◽  
The West ◽  
Binary Variables ◽  
Gross State Product ◽  
The Relationship

This study attempts to determine whether the ranking of America’s top states for business by CNBC is correlated with state economic performance such as the unemployment rate, the growth rate of employment, and the growth rate of gross state product. Binary variables for the South and the West are also considered. The sample consists of 50 states in 2018. The results indicate that the ranking of America’s top states for business is correlated with each of these economic indicators. Regression analysis shows that the coefficient of the ranking in each of the three regressions is significant at the 1% level. A higher ranking for a state is associated with a lower unemployment rate, a higher growth rate of employment, and a higher growth rate of gross state product.

Hindutva Philosophy Reinforcement by the rss/bjp against Minorities and the Economic Performance of Narendra Modi’s Government in India

2021 ◽  
Vol 28 (2) ◽  
pp. 351-366
Author(s):  
Rajeev Ranjan Kumar ◽  
Muhammad Rizwan
Keyword(s):  
Growth Rate ◽  
Unemployment Rate ◽  
Economic Performance ◽  
Prime Minister ◽  
Economic Decline ◽  
Religious Minorities ◽  
Lower Caste ◽  
The Core ◽  
The People ◽  
The Government

Abstract Indian Prime Minister Narendra Modi is a controversial figure and has polarised public debate for over a decade. He is criticised for the decline in growth rate and increase in unemployment rate. It has been five years since the Modi-led Bhartiya Janata Party (bjp) came to power, so analysing the economic performance and extremist religious behaviour of the Modi-led bjp/rss (Rastriya Sevak Sangh) is interesting. This article discusses the non-conventional views on the economic performance of the government in India, and the ideology of Hindutva and hatred towards religious minorities. This deep-rooted hatred of religious minorities and the lower caste is the core philosophy of Hindutva and is followed by the bjp and rss. Under the shadow of the rss, the Modi government has focused on Hindutva rather than the economy and the people, which has been the most important factor in the economic decline of India.

scholarly journals Energy Efficiency Of National Economy: Social, Economic And Ecological Indicators

2020 ◽  
Vol 4 (4) ◽  
pp. 160-174
Author(s):  
Yevheniia Ziabina ◽  
Tetyana Pimonenko ◽  
Luidmyla Starchenko
Keyword(s):  
Energy Efficiency ◽  
Economic Development ◽  
Regression Analysis ◽  
National Economy ◽  
Green Energy ◽  
Economic Indicators ◽  
Strong Impact ◽  
Energy Efficiency Indicator ◽  
The Impact ◽  
The Relationship

The paper aimed to formalise the relationship between the level of Ukrainian energy efficiency from 30 indicators of social, ecological and economic development of the country. The main purpose of the study is to identify the impact and dependence of socio-ecological and economic indicators on the level of energy efficiency using multiple correlation-regression analysis. The systematisation of the analysed results allowed identifying the core directions to overcome the issues of the slow pace of energy efficiency improvement and the development of carbon neutrality of the country. The relevance of this scientific solution to the problem is that the level of energy efficiency is influenced by a large number of socio-ecological and economic factors sometimes independent of each other. The authors analysed the relationship between the level of energy efficiency and socio-ecological and economic indicators of country development. The investigation consisted from the following stages: conducting polynomial-regression analysis of energy efficiency development in Ukraine; development of correlation-regression multiple models of relationships between energy efficiency indicator and socio-ecological-economic indicators; explaining the conclusions and providing recommendations considering the findings. The object of the study was the processes of energy efficiency relationships with 30 indicators of socio-ecological and economic development, namely how much they affect the energy development of the country. The conclusions were theoretical and practical in terms of the impact on the level of energy efficiency of interdisciplinary indicators. The conclusions which proved by the empirical findings allowed identifying weaknesses in the development of the national economy, as well as to improve and increase the energy potential of the country through energy efficiency development strategies due to the studied determinants that have a strong impact on the level of energy efficiency. Keywords: energy efficiency, carbon-free economy, sustainable development, energy sector, green energy, energy security.

scholarly journals ANALISIS KINERJA EKONOMI SEBELUM DAN PADA ERA PENETAPAN KEISTIMEWAAN YOGYAKARTA

2019 ◽  
Vol 4 (2) ◽  
pp. 65-77
Author(s):  
Rosyid Nur Anggara Putra ◽  
Muh. Rudi Nugroho
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Economic Performance ◽  
Analytical Methods ◽  
T Test ◽  
Economic Indicators ◽  
Good Growth ◽  
Panel Regression ◽  
Paired Sample ◽  
Development Indicators

ABSTRACTThis study aims to determine the level of success of economic performance before and in the era of Yogyakarta privileges determination. This study uses several relevant analytical methods to analyze economic performance. The economic performance will be observed through economic indicators and development indicators in support of the principle of the Specialties of Daerah Istimewa Yogyakarta (DIY). The methods applied in this research are description of indicators to provide a description of the performance of all activities carried out before and on the appointment of privilege, paired sample t-test to analyze situations that existed before and when implemented a police and Data Panel Regression Analysis. It was concluded that the adjustment funds before the dana istimewa (danais) had given good growth to DIY. DIY growth was seen after the danais program in 2013-2015 which increased by 0.98%. This finding is in accordance with the expectations of researchers. Danais in the 2015 APBNP was recorded at 0.547 TrillionKeywords: Economic Performance, Inequality and Growth  ABSTRAKPenelitian ini bertujuan untuk mengetahui tingkat keberhasilan kinerja ekonomi sebelum dan pada era penetapan keistimewaan Yogyakarta. Penelitian ini menggunakan beberapa metode analisis yang relevan untuk menganalisis kinerja ekonomi. Kinerja ekonomi akan diamati melalui indikator ekonomi dan indikator pembangunan untuk mendukung prinsip Keistimewaan Daerah Istimewa Yogyakarta (DIY). Metode yang digunakan dalam penelitian ini adalah deskripsi indikator untuk memberikan deskripsi kinerja semua kegiatan yang dilakukan sebelum dan pada penetapan keistimewaan, paired sample t-test untuk menganalisis situasi yang ada sebelum dan pada implementasi kebijakan dan Analisis Regresi Panel Data. Disimpulkan bahwa dana penyesuaian sebelum adanya danais telah memberikan pertumbuhan yang baik terhadap DIY. Pertumbuhan DIY terlihat setelah adanya program danais pada tahun 2013-2015 yang meningkat sebesar 0,98%. Temuan ini sesuai dengan harapan peneliti. Danais pada APBNP-2015 tercatat sebesar 0,547 Triliun.Kata Kunci: Kinerja Ekonomi, Ketimpangan, dan Pertumbuhan

scholarly journals Impact of Organizational Climate on Knowledge-Sharing Behavior: An Empirical Study in Minimarkets

2021 ◽  
Vol 17 (2) ◽  
pp. 94-105
Author(s):  
Sri Raharso ◽  
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Empirical Study ◽  
Organizational Climate ◽  
Knowledge Sharing ◽  
Research Model ◽  
Knowledge Sharing Behavior ◽  
Two Factors ◽  
The Relationship ◽  
Sharing Behavior

This empirical research aims to identify the relationship between organizational climate and knowledge sharing behavior. Also, this study uses knowledge sharing intentions as a mediator between these two variables. The survey was conducted incidentally on 403 minimarket employees in eight districts/cities in West Java. Factor analysis was employed to purify research variables. To evaluate the research model, multiple regression analysis was used. The results of the factor analysis on organizational climate resulted in two factors, fairness and affiliation. Fairness and affiliation constructs have a positive and significant effect on knowledge sharing intention. Knowledge sharing intention also has a positive and significant effect on knowledge sharing behavior.

scholarly journals The impact of corruption on the shadow labor market

2021 ◽  
Vol 69 (2) ◽  
pp. 24-30
Author(s):  
M. Kirzhetska ◽  
Yu. Kirzhetskyy
Keyword(s):  
Regression Analysis ◽  
Labor Market ◽  
Social Protection ◽  
Supply And Demand ◽  
Economic Indicators ◽  
Common Interest ◽  
Tax Burden ◽  
Demand And Supply ◽  
The Impact ◽  
The Relationship

In this paper we analyze how corruption affects the shadow labor market and describe the facts of the relationship between corruption and the factors shaping shadow employment. Confirmation of relationship between the spread of corruption and shadow employment in Ukraine is the objective of this investigation, and its results are presented in this paper. In order to achieve the set goal, the authors developed scientific tasks to determine the factors stimulating shadow employment and to carry out correlation and regression analysis of the relationship between the Corruption Perception Index in Ukraine and the indicators stimulating the growth of shadow employment in Ukraine. Despite the absolute negative effect of the excessive spread of both corruption and shadow labor market on national economies, the authors suggest that corruption is an impulse for the growth of shadow labor market. The paper is based on the hypothesis that the individual motivation for participation in undeclared labor activities is of common interest for both employers and employees. Therefore, the authors describe the spread of the shadow labor market by means of indicators, which form shadow employment from the sidelines of supply and demand in this market. Thus, it is defined that the factors that form the shadow labor market from the supply sideline include: the level of unemployment; the level of migration; the level of wages and social security. The factors that form shadow employment from the demand sideline include: the level of tax burden on wages; staff turnover and the dynamics of the population level. The carried out regression analysis between the indicators of corruption and the factors that form shadow employment on the demand and supply sidelines shows that corruption has a significant impact on the level of unemployment in Ukraine, labor external migration, the level of poverty among the working population, the level of social protection and the level of tax burden. Therefore, the reduction in the corruption level will have a significant impact on the socio-economic indicators that incite shadow employment from both demand and supply sidelines on the unregistered labor. Our conclusions indicate that in order to improve the socio-economic indicators of economic development, which have an impact on the spread of the shadow labor market, the Government first of all should reduce the level of corruption in the economy.

scholarly journals Keterkaitan Lapangan Pekerjaan Pertanian dan Pertambangan serta Pengaruhnya terhadap Persentase Tingkat Pengangguran Terbuka di Provinsi Kepulauan Bangka Belitung

2019 ◽  
Vol 3 (1) ◽  
pp. 75-86
Author(s):  
Sulista Sulista
Keyword(s):  
Regression Analysis ◽  
Unemployment Rate ◽  
Research Methodology ◽  
Significant Relationship ◽  
Strong Influence ◽  
Commodity Prices ◽  
White Pepper ◽  
The Relationship

Abstract The economy of  Bangka Belitung Islands Province is very dependent on two export commodities, namely muntok white pepper and tin. From the data, it can be seen that the two commodities are closely related to the availability of jobs in the Bangka Belitung region. Therefore, this research was conducted to prove the relationship between agricultural and mining employment and its influence on the unemployment rate in Kepulauan Bangka Belitung Province. The research methodology is carried out quantitatively through regression analysis of data on the percentage of agricultural, mining and open unemployment rate (TPT) absorption. The results of the study show that there is a significant relationship between agricultural and mining jobs, but the linkages are also influenced by fluctuations in commodity prices and implementation of tin policies. In addition, the availability of these two jobs has a strong influence on the decline in TPT in Kepulauan Bangka Belitung Province.AbstrakPerekonomian Provinsi Kepulauan Bangka Belitung sangat bergantung kepada dua komoditas ekspor yaitu muntok white pepper dan timah. Dari data dapat diketahui bahwa kedua komoditas tersebut berkaitan erat terhadap ketersediaan lapangan pekerjaan di wilayah Bangka Belitung. Oleh karena itu, penelitian ini dilakukan untuk membuktikan hubungan antara lapangan pekerjaan pertanian dan pertambangan serta pengaruhnya terhadap tingkat pengangguran di Provinsi Kepulauan Bangka Belitung. Metodologi penelitian dilakukan secara kuantitatif melalui analisis regresi terhadap data persentase serapan lapangan pertanian, pertambangan dan tingkat pengangguran terbuka (TPT). Hasil penelitian menunjukkan adanya hubungan yang signifikan antara lapangan pekerjaan pertanian dan pertambangan akan tetapi keterkaitannya juga dipengaruhi oleh fluktuasi harga komoditas dan penerapan kebijakan pertimahan. Selain itu, ketersediaan kedua lapangan pekerjaan tersebut berpengaruh

scholarly journals CAUSES OF DIFFERENTIATED DEVELOPMENT OF REGIONAL STRUCTURES IN THE SLOVAK REPUBLIC

2020 ◽  
Author(s):  
Katarína Kráľová ◽  
◽  
Jana Sochuľáková ◽  
Dagmar Petrušová ◽  
◽  
...  
Keyword(s):  
Unemployment Rate ◽  
Economic Performance ◽  
Slovak Republic ◽  
Regional Disparities ◽  
Economic Indicators ◽  
Regional Structure ◽  
Sectoral Structure

Our paper aims to identify and evaluate the factors determining the differentiated development of the regional structure of the Slovak Republic through analysis; directly or indirectly to show the reasons for the lag of some regions of the Slovak Republic. We will analyze the socio-economic lag of the regions in Slovakia through relevant social and economic indicators (e.g. unemployment rate, economic performance, the sectoral structure of the economy, state of infrastructure, average wages, selected demographic structures, level of innovation and others). We calculate and evaluate regional disparities using selected methods, which should point us to the fact that the differences between developed and lagging regions have already reached such proportions that regional polarization and regional disparities are entirely appropriate for this situation.

scholarly journals Prospects for the creation and use of paired and multiple correlation and regression models in beekeeping

2021 ◽  
pp. 58-63
Author(s):  
O. Galatiuk ◽  
A. Lakhman ◽  
T. Romanishina ◽  
V. Behas
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Air Temperature ◽  
Economic Performance ◽  
Quality Data ◽  
Anthropogenic Factors ◽  
Multiple Correlation ◽  
Correlation And Regression Analysis ◽  
The Relationship ◽  
Natural And Anthropogenic Factors

In animal husbandry, including beekeeping, there are a growing number of independent consultancy services to analyse the performance of the industry in relation to disease monitoring status and preventive measures to maintain proper bee family health. In order to provide expert advice, these services must always be backed up by quality data and accurate statistical analysis. It would give clear instructions on how to interpret the results obtained when processing them, and show directions for improving disease prevention. Currently, there are problems related to improving the control of infectious diseases in bees, as various natural and anthropogenic factors have a multidirectional effect on the economic performance of beekeeping. There are also concerns about the control of infectious animal and insect diseases, which is a multifaceted series of causes due to natural and anthropogenic factors that have a polyvector effect on the economic performance of beekeeping. Therefore, the experimental application of different types of correlation and regression analysis in this industry by constructing pairwise and multivariate dependencies and their statistical interpretation was the aim of the paper. The correlation and regression model under study contains four sets of characteristics: result variable (y) - the amount of honey from 20 different apiaries in one season and factor variables: x1 - air temperature in the apiaries; x2 - amount of probiotic "Enteronormin Iodis + Se" to stimulate the immune system as one of the preventive methods; x3 - number of beehives in each apiary. Linear proportional relationships between apiary productivity and the factors included in the regression model are obtained. According to the results of the correlation-regression analysis, paired correlation coefficients showed that the relationship between air temperature in the apiary and produced honey is medium connection (r1 = 0,666), the relationship between the amount of probiotic applied per frame and produced honey is tight (close) connection (r2 = 0,813), the relationship between the number of beehives and produced honey is medium connection (r3 = 0,633). The regression coefficients show how the amount of honey produced in an apiary changes when each factor changes by one, with the other factors in the equation fixed. So, raising the temperature by 1 °C increases the honey production by 216 kg in each apiary, while increasing the concentration of "Enteronormin Iodis + Se" by 1 cm3 per beehive frame increases the nectar production by 1,12 kg for one hive. The coefficient of multiple determination (R2 = 0,954163) identifies a close relationship in the model created (95% of the factors investigated determine apiary performance). Therefore, modelling in the form of linear and multiple correlation and regression analysis is feasible in beekeeping. Key words: beekeeping, modeling, system analysis, factor and result characteristics.

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