scholarly journals PENGARUH KUNJUNGAN WISATAWAN MANCANEGARA, RATA-RATA PENGELUARAN DAN TINGKAT HUNIAN HOTEL TERHADAP PENDAPATAN INDONESIA PADA SEKTOR PARIWISATA

2019 ◽  
Vol 1 (1) ◽  
pp. 37
Author(s):  
Rizki Munanda ◽  
Syamsul Amar
Keyword(s):  
Secondary Data ◽  
Least Square ◽  
Ordinary Least Square ◽  
Hotel Room ◽  
Descriptive Research ◽  
Tourism Sector ◽  
The Impact ◽  
Central Statistics

The aims of this study are to find out the impact of tourist arrival, tourist expenditure and hotel room occupancy on the income of tourism sector in Indonesia. This type of research is associative descriptive research, where the data used is secondary data from 1986 to 2016 obtained from the Central Statistics Agency and the Ministry of Tourism. Which are analysed using the Ordinary Least Square (OLS) method. The results of this study have a indicate that tourist arrival and hotel room occupancy have a significant effect on the income of tourist in Indonesia.

scholarly journals DAMPAK KESEHATAN TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA

Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 578
Author(s):  
Dio Prananda ◽  
Idris Idris ◽  
Dewi Zaini Putri
Keyword(s):  
Economic Growth ◽  
Life Expectancy ◽  
Secondary Data ◽  
Least Square ◽  
Fertility Rates ◽  
Ordinary Least Square ◽  
Descriptive Research ◽  
The Impact

This study aims to determine and analyze the impact of life expentacy, fertilitiy rates, morbidity rates, and investment on economic growth in Indonesia. This type of research is associative descriptive research, where the data used was secondary data from 1985 to 2015 obtained from related institutions, which are analyzed using the Ordinary Least Square (OLS) method. The findings of this study indicate that life expectancy, fertility rates, morbidity rates, and investment have a significant effect on economic growth in Indonesia.   Keywords: life expectancy, fertility rates, morbidity rates, investment, and Ordinary Least Square (OLS)

scholarly journals Pengaruh Penyesuaian Harga Jual Bahan Bakar Minyak (BBM) Tehadap Konsumsi BBM dan Inflasi

2020 ◽  
Vol 4 (2) ◽  
pp. 165-182
Author(s):  
Aep soleh Soleh
Keyword(s):  
Inflation Rate ◽  
Secondary Data ◽  
Mineral Resources ◽  
Substitution Effect ◽  
Least Square ◽  
Fuel Price ◽  
Ordinary Least Square ◽  
Price Increases ◽  
The Government ◽  
The Impact

This study investigates the impact of fuel price adjusment on changes in fuel consumption and inflation in Indonesia. This study uses secondary data obtained from the Ministry of Energy and Mineral Resources, the Ministry of Finance, the Ministry of Trade, Bank Indonesia, the Central Bureau of Statistics (BPS), and PT Pertamina (Persero) from 2006 to 2016 and analyzed by using Ordinary Least Square (OLS) method. Research showed, if the government increases Premium Gasoline's price by 10%, in average its consumption would decrease around 2,99 %. However, if the Pertamax Gasoline's price increases, the consumption of Premium Gasoline would also increase due to substitution effect. Every 10% increase in Subsidized Diesel's price, in average its consumption would decrease around 4,80 % and vice versa. However, if the Pertamina dex's price increases, the consumption of Subsidized Diesel would also increase due to substitution effect. Moreover, IDR1.000/L increase in Premium Gasoline's Price would contribute 1,10 % to the inflation rate. On the other hand, increase in Subsidized Diesel's price does not contribute to the inflation rate.

scholarly journals Impact of Agricultural Financing on Nigeria Economy

2019 ◽  
pp. 1-13 ◽  
Author(s):  
Ayodele E. Ademola
Keyword(s):  
Economic Growth ◽  
Financial Institutions ◽  
Productivity Growth ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Least Square ◽  
Macroeconomic Policies ◽  
Agricultural Finance ◽  
Ordinary Least Square ◽  
The Impact

The importance of agricultural surplus for the structural transformation accompanying economic growth is often addressed by development economists. In view of this, the study empirically assesses the impact of agricultural finance on the growth of Nigerian economy. This paper employed secondary data and econometric techniques of Ordinary Least Square (OLS) of multiple regression estimates. The result of the model used suggests that the productivity of investment will be more appropriately financed with resources administered by the commercial and specialized financial institutions. And also, that there are an urgent and sincere needs to expand the credit size to the agricultural sector in order to enhance the productivity growth of the sector. It is recommended that maintenance of credible macroeconomic policies that is pro-investment in overhauling the Agricultural Sector and debt-equity swap option are necessary for an agricultural-led economic growth.

scholarly journals The Effect and Impact of Signals on Investing Decisions in Reward-Based Crowdfunding: A Comparative Study of China and the United Kingdom

2020 ◽  
Vol 13 (12) ◽  
pp. 325
Author(s):  
Sardar Muhammad Usman ◽  
Farasat Ali Shah Bukhari ◽  
Huiwei You ◽  
Daniel Badulescu ◽  
Darie Gavrilut
Keyword(s):  
Information Asymmetry ◽  
Goal Setting ◽  
Risk Sharing ◽  
Project Success ◽  
Secondary Data ◽  
Least Square ◽  
Ordinary Least Square ◽  
The United Kingdom ◽  
The Uk ◽  
The Impact

When traditional financial institutions faced difficulties in the task of assisting micro, small and medium-sized enterprises (MSMEs) with capital allocations, crowdfunding can upsurge as an innovative and vibrant vehicle that can support and assist the activity of such MSME’s, by financing their activity and instrumenting the process of risk-sharing. Simultaneously with its enormous growth and popularity, crowdfunding is faced by several key challenges, one of biggest such challenges referring to the problem of information asymmetry that can exist between fundraisers and potential backers. Based on the signaling theory, a research taxonomy has been developed for a comparative analysis between China and the UK. This has been accomplished by retrieving secondary data from the following crowdfunding platforms: Dreamore (Chinese platform) and Crowdfunder (UK platform). The objective of the study is to investigate both the effect and the impact that signals (goal setting, project comments and updates) have upon mitigating the problem of information asymmetry, in order to make the project successful. We have thus deployed an Ordinary Least Square (OLS) regression and validated the models through a robustness check. The findings reveal that signals actively mitigate the problem of information asymmetry in both countries, but this varies in the sense that higher goal setting has a more positive/impactful relationship with project success in the UK than it does in China. Project comments are more positively associated with project success in China as compared to the UK, whereas project updates are more negatively related to project success in China as compared to the UK. These findings demonstrate the importance that signals have upon successful crowdfunding activities/campaigns, highlighting the theoretical and practical influence and relevance for potential fundraisers in the two aforementioned economies.

Electronic fraud: an emerging cause of bank failure in Nigerian deposit money banks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Folowosele Folarin Akinwale ◽  
Ikpefan Ochei Ailemen ◽  
Isibor Areghan
Keyword(s):  
Deposit Insurance ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Least Square Method ◽  
Least Square ◽  
Annual Reports ◽  
Content Type ◽  
Ordinary Least Square ◽  
Unethical Practices ◽  
The Impact

Purpose This study aims to review the degree to which fraud and other unethical practices especially in the digital space have affected the Nigerian banking industry both in the past and present, and how it will be a growing concern in the imminent future. The objective of the study was to examine the impact of electronic fraud on the quality of assets and return on assets of Nigerian deposit money banks. Design/methodology/approach The research used secondary data for the periods 2006 till 2018, which were collected from the Nigeria Deposit Insurance Corporation annual reports. Descriptive analysis and the ordinary least square method of regression analysis were used for data analysis. Findings Findings revealed that electronic fraud cases increased progressively over most of the years of study, which can be attributed to the increased bank products that are electronic-based. Originality/value Many of the reviewed literature examined electronic fraud and its impact on bank profitability but this study examined the cause of electronic fraud and what can be done to curtail it.

scholarly journals THE IMPACT OF COVID-19 PANDEMIC ON THE TOURISM SECTOR IN INDONESIA

Riset ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 389-401
Author(s):  
Jan Horas Veryady Purba ◽  
Ritha Fathiah ◽  
Steven Steven
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Secondary Data ◽  
Equation Model ◽  
Least Square ◽  
Series Data ◽  
Tourism Sector ◽  
Before And After ◽  
Negative Effect ◽  
The Impact

The tourism is one of the strategic sectors and has an important role as a source of foreign exchange and encourages national economic growth. Since March 2020, the Covid-19 pandemic has begun to enter Indonesia, and the cumulative infection curve has not sloped, and is still increasing exponentially until now. This phenomenon has resulted in a contraction in the Indonesian economy or created negative economic growth, as well as creating very bad conditions for the tourism sector in Indonesia. This study aims to examine the influence of the Covid-19 pandemic on tourism and its implications for economic growth in Indonesia. The data used are quarterly time series data before and after the Covid-19 Pandemic (2018-2020). This study uses a regression equation model that is estimated by using ordinary least square (OLS). Secondary data used are data air transport and hotel accommodation, as a proxy for tourism variables. The results show that the Covid-19 Pandemic has a negative effect on Indonesian tourism, and has negative implications for Indonesia's GDP. From the simulation results, the findings of this study also calculate the amount of potential lost in the Turism and Indonesian economy during the Covid-19 Pandemic.

scholarly journals Analisis pengaruh leverage terhadap nilai perusahaan dengan kepemilikan manajerial dan arus kas bebas sebagai variabel pemoderasi

2017 ◽  
Vol 22 (1) ◽  
Author(s):  
Linawaty Linawaty ◽  
Agustin Ekadjaja
Keyword(s):  
Cash Flow ◽  
Firm Value ◽  
Stock Exchange ◽  
Secondary Data ◽  
Least Square Method ◽  
Free Cash Flow ◽  
Least Square ◽  
Ordinary Least Square ◽  
Management Ownership ◽  
The Impact

The purpose of this study is to examine whether or not the effect of leverage on firm value with management ownership and free cash flow as moderating variabel practice of manufacture firms listed in Indonesian Stock Exchange for period 2012-2014. Thirty five sample are selected by purposive sampling and used ordinary least square method to analysis. This study used secondary data such as firm financial statement that published during the observation year. Dependent variabel in this study is firm value practice of real estate firms listed in Indonesian Stock Exchange, while the independent variabels are leverage, management ownership, and free cash flow. The result shows that the impact of leverage is significant on firm value; Free Cash Flow is significant moderating leverage on firm, Management Ownership is not significant moderating leverage on firm value

scholarly journals Macroeconomic Variables and Nigerian Agricultural Sector Development

2021 ◽  
Vol 4 (4) ◽  
pp. 9-20
Author(s):  
Okafor O. ◽  
Isibor A.
Keyword(s):  
Exchange Rate ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Least Square ◽  
Agricultural Industry ◽  
Macroeconomic Variables ◽  
Ordinary Least Square ◽  
Annual Time Series ◽  
The Interest Rate ◽  
The Impact

The study investigated the impact of some macroeconomic variables like exchange rate and inflation on the development of the Nigerian agricultural industry. Annual time series secondary data covering a period of 33 years (1986- 2020) was utilized in the study while the Ordinary Least Square (OLS) was the estimation technique used to analyze the data. Findings revealed that the exchange rate was positively significant in impacting the dependent variable while the inflation rate was negatively significant. The interest rate was insignificant in impacting the agricultural sector. From the findings, one recommendation arrived at was that the monetary authorities should make policies that would reduce inflation, for example, reduction of the money supply. Reduced inflation would positively impact the development of the agricultural sector as it would boost and increase the consumption of agricultural products.

scholarly journals Pengaruh Investasi, Laju Pertumbuhan Ekonomi, dan Upah Terhadap Penyerapan Tenaga Kerja

2018 ◽  
Vol 1 (3) ◽  
pp. 200-206
Author(s):  
Wildan Wildan
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Research Method ◽  
Secondary Data ◽  
Least Square ◽  
Absorption Function ◽  
Economic Growth Rate ◽  
Ordinary Least Square ◽  
Descriptive Research ◽  
Quantitative Descriptive

This study aims to Influence Investment, Economic Growth Rate, and Wages Against Absorption of Employment in Bogor Regency with the research method used in this study is a quantitative descriptive research method. The data used are secondary data which are analyzed by the quantitative method of multiple linear regression using the Ordinary Least Square (OLS) method. While the model used in this study is a model of the employment absorption function with 3 independent variables and 1 dependent variable. Based on the results of processed data using regression regarding the effect of investment, the rate of economic growth, and wages on labor absorption in Bogor Regency, it can be concluded that investment does not have a significant effect on employment in Bogor Regency. The economic growth rate has a positive and significant effect on employment in Bogor Regency. Wages have a positive and significant effect on employment in Bogor Regency. Simultaneously investment, economic growth rate, and wages show a significant influence on employment in Bogor Regency.   Penelitian ini bertujuan untuk Pengaruh Investasi, Laju Pertumbuhan Ekonomi, dan Upah Terhadap Penyerapan Tanaga Kerja di Kabupaten Bogor dengan metode penelitian yang dipakai dalam penelitian ini adalah metode penelitian deskriptif kuantitatif. Data yang digunakan adalah data sekunder yang dianalisis dengan metode kuantitatif regresi linear berganda dengan metode Ordinary Least Square (OLS). Sedangkan Model yang digunakan dalam penelitian ini adalah model fungsi penyerapan tenaga kerja dengan 3 variabel independen dan 1 variabel dependen. Berdasarkan hasil data yang telah diolah menggunakan regresi mengenai pengaruh investasi, laju pertumbuhan ekonomi, dan upah terhadap penyerapan tenaga kerja di Kabupaten Bogor, dapat ditarik kesimpulan bahwa investasi tidak berpengaruh signifikan terhadap penyerapan tenaga kerja di Kabupaten Bogor. Laju pertumbuhan ekonomi berpengaruh positif dan signifikan terhadap penyerapan tenaga kerja di Kabupaten Bogor. Upah berpengaruh positif dan signifikan terhadap penyerapan tenaga kerja di Kabupaten Bogor. Secara simultan investasi, laju pertumbuhan ekonomi, dan upah menunjukkan pengaruh yang signifikan terhadap penyerapan tenaga kerja di Kabupaten Bogor.

IMPACT OF FDI AND FIIS ON SENSEX AND NIFTY IN INDIA

2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Sanjay Kumar Sinha ◽  
Jyoti Rani
Keyword(s):  
Stock Market ◽  
Secondary Data ◽  
Least Square ◽  
Foreign Direct Investments ◽  
Strong Positive Correlation ◽  
Positive Correlation ◽  
Ordinary Least Square ◽  
Indian Stock Market ◽  
The Impact ◽  
Moderate Positive Correlation

The present paper highlights the impact of Foreign Direct investments (FDI) and Foreign Institutional Investments (FIIs) in India on BSE and NSE. The study is purely based on secondary data and the analysis of which was made through the application of Karl Pearson's coefficient of Correlation and Multi Regression OLS model (Ordinary Least Square). Based on 15 years data starting from 2001 to 2015, it was found that the flow of FDI and FIIs was moving in cycle with Sensex and Nifty.There is a very strong positive correlation between FDI and Sensex and FDI andNifty. There is a moderate positive correlation between FII and Sensex but the correlation is not significant between FII andNifty.It can be concluded that the impact of flow of FDI and FIIs on Indian stock market is significant.

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