scholarly journals Habitat quality and fish populations: impacts of nutrient enrichment on the value of European perch off the east coast of Sweden

2017 ◽  
Vol 8 (1) ◽  
pp. 46-56
Author(s):  
Wondmagegn Tafesse Tirkaso ◽  
Ing-Marie Gren
Keyword(s):  
Fishery Management ◽  
East Coast ◽  
Time Series Data ◽  
Economic Value ◽  
Least Square ◽  
Fish Populations ◽  
Series Data ◽  
Logistic Growth ◽  
Nutrient Loads ◽  
Phosphorus Loads

Degradation of marine ecosystems through, e.g., eutrophication and climate change is a concern for sustainable fishery management worldwide, but studies on associated impacts on fish populations are rare. This study examines the effects of eutrophying nutrient loads on the economic value of perch populations along the Swedish east coast by estimating the effects of nutrient loads on the population of perch and, then, simulates the harvest value of future perch population under the changes in nutrient loads. A modified Gordon-Schaefer logistic growth model was used for econometric estimation of perch populations based on annual time series data for the period of 1970-2014. Regression analysis using the fully modified ordinary least square (FMOLS) estimator revealed that phosphorus loads had significant effects on the perch population. A 40% decrease in phosphorus loads, as suggested by the international HELCOM agreement, could increase the steady state perch population by 50%. Simple calculations showed that this could increase the total discounted recreational and commercial harvest value of the perch by 30% over a 30 year period.

Seasonal and interannual variation of decapod larval abundance from two coastal locations in Scotland, UK

2011 ◽  
Vol 91 (7) ◽  
pp. 1443-1451 ◽  
Author(s):  
Maria Pan ◽  
Graham J. Pierce ◽  
Carey O. Cunningham ◽  
Steve J. Hay
Keyword(s):  
East Coast ◽  
Time Series Data ◽  
Least Square ◽  
Series Data ◽  
Larval Abundance ◽  
Square Functions ◽  
North West ◽  
North East ◽  
Increasing Trend ◽  
Decapod Larvae

The patterns of decapod larvae occurrence and abundance were studied from weekly time-series data of 8 years from Stonehaven (north-east Scotland) and 4 years and 8 months from Loch Ewe (north-west Scotland). The annual cycle observed was similar in the two locations and characterized by abundance peaks, the first in spring and another in the summer, extending into autumn. During the coldest months (December to February) decapod larvae were virtually absent in the plankton. Differences in abundance and occurrence of decapod larvae between locations and the influence of temperature, salinity and chlorophyll-a in the patterns observed, were analysed by generalized least-square functions. The results showed significant differences in the abundance of decapod larvae between locations, with higher larval abundances and an earlier appearance in the plankton in Loch Ewe (west coast). In Stonehaven (east coast), from 2003 onwards, a general increasing trend in the abundance of decapod larvae was observed, related to the increasing temperatures recorded at that site. The data demonstrate the high variability of decapod larval abundance on an annual basis and the high importance of temperature and chlorophyll-a to the occurrence and abundance of decapod larvae.

scholarly journals Import Flows of Bangladesh: Gravity Model Approach under Panel Data Methodology

2012 ◽  
Vol 60 (2) ◽  
pp. 153-157 ◽  
Author(s):  
Mili Roy ◽  
Md. Israt Rayhan
Keyword(s):  
Panel Data ◽  
Gravity Model ◽  
Cross Section ◽  
Time Series Data ◽  
Random Effect ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
Extended Gravity ◽  
Trading Partners

In counterpoint to export growth, Bangladesh import growth has remained much less strong, despite impressive progress in import liberalization. This study gives an overview of different methodologies related to gravity model analysis in Bangladesh’s import flow. A pooled cross section and time series data were analyzed to incorporate the country specific heterogeneity in country pair trading partners. The import flows are justified by the basic gravity model since Bangladesh’s imports are positively significant by the economy size and inversely related to trade barrier. Accordingly, we have analyzed pooled ordinary least square, fixed effect, random effect. This study also explores extended gravity model using several variables in the light of gravity model panel data approach. Bangladesh’s import is determined by the home and foreign country’s gross domestic product and exchange rate. In addition, Cross section results show that regional trade arrangement which is South Asian Association for Regional Co-operation and border are significant for Bangladesh’s importimplies that Bangladesh should import more from intra regional country and also should import from India.DOI: http://dx.doi.org/10.3329/dujs.v60i2.11485 Dhaka Univ. J. Sci. 60(2): 153-157, 2012 (July)  

scholarly journals Factors affecting beta in manufacturing companies in Indonesia Stock Exchange

2020 ◽  
Vol 1 (4) ◽  
pp. 259-268
Author(s):  
Retnoning Ambarwati
Keyword(s):  
Time Series Data ◽  
Stock Exchange ◽  
Least Square ◽  
Series Data ◽  
Manufacturing Companies ◽  
Financial Leverage ◽  
Online Data ◽  
Dividend Payout ◽  
Asset Growth ◽  
Asset Size

This research has want to know and prove the effect of dividend payout, asset growth, asset size, liquidity, financial leverage, earning variability and accounting beta to beta of stock simultaneously and partially in manufacturing companies at Jakarta Stock Exchange.  This research use secondary data which is collected based on time series data and cross section include 12 manufacturing company stocks as the sample. The data is collected from the online data of Jakarta Stock Exchange in YPKP, Indonesia Capital Market Directory, JSX Statistic, and Business News. The model of this research is estimated by Generalized Least Square (GLS) with Fixed Effect Model and Dummy Variable to estimate the effect of some financial variables specifically towards Beta of Stock. The result show that all of the variables in this research consistent with the theory as expected. The coefficient direction of asset growth, financial leverage, earning variability and accounting beta shows positive, while the coefficient direction of dividend payout, asset size, liquidity shows oppositely. Simultaneously all variables influence beta of stock, in the other side partially shows that asset growth, earning variability, asset size, and liquidity, have significant effect to beta, whereas dividend payout ratio, financial leverage and accounting beta do not have significant effect. One of the implications of this research is that the study of beta of stock should be more comprehensively, not only contains micro variables but also the macro variables as well include dimension of social economy and politic

scholarly journals Islamic Finance and Economic Growth Nexus: An Econometric Analysis

2019 ◽  
Vol 2 (1) ◽  
pp. 11-22
Author(s):  
Kashif Raza ◽  
Rashid Ahmad ◽  
Muhammad Abdul Rehman Shah ◽  
Muhammad Umar
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Trade Openness ◽  
Unit Root Test ◽  
Least Square ◽  
Series Data ◽  
Islamic Finance ◽  
Causality Test ◽  
Economic Agents ◽  
Fixed Capital Formation

Researchers have written chain of research papers about the dynamics of financial development and economic growth. The financial capital plays a productive role when it delivers to economic agents who are facing shortage or excess of funds.  This study explores the linkages among Islamic financing and economic growth for Pakistan, by using annual time series data from 2005-2018. Islamic banks’ financing funds used as a proxy of Islamic financing, Gross Domestic Product (GDP), Gross Fixed Capital Formation (GFCF), labor force (LF),Broad money(M) and Trade openness (TO) to presents real sector of an economy. For the exploration, the unit root test, Ordinary least square technique and Granger causality test are applied. The results validate a substantial causal relationship of Islamic financing and GDP, which supports the Schumpeter’s supply-leading view. The results indicate that Islamic finance contributed towards economic growth.  

scholarly journals Pengaruh Variabel Internal Perbankan Terhadap Kinerja Bank Konvensional di Indonesia

2019 ◽  
Vol 4 (1) ◽  
pp. 90
Author(s):  
Ali Akbar
Keyword(s):  
Commercial Banks ◽  
Time Series Data ◽  
Partial Least Square ◽  
Least Square ◽  
Series Data ◽  
Internal Variables ◽  
Operating Income ◽  
Performance Factors ◽  
Conventional Banks ◽  
Dominant Influence

This research is to know the influence of internal variables of banking (amount of credit and operational expense than operating income (BOPO)) on the performance of conventional banks. The population in this research is the whole of conventional commercial banks in Indonesia year of 2010-2017. The sampel  is the conventional commercial banks by as much as 14 banks, with time series data. The method used is the analysis of partial least square (PLS). The results showed that internal variables of banking (amount of credit, BOPO) negative and no significant effect on performance of conventional banks (CAR, NPL, ROA, LDR) and amount of credit credit is an indicator of a dominant influence variation/change from a conventional banks performance factors (CAR, NPL, ROA and LDR).

scholarly journals The Role of Technical Innovation and Development of Industrial Sector in Korean International Business

2021 ◽  
Vol 22 (1) ◽  
pp. 55-73
Author(s):  
Ali Mohammed Khalel Al-Shawaf ◽  
Tahira Yasmin
Keyword(s):  
Time Series Data ◽  
Positive Impact ◽  
Generalized Method Of Moments ◽  
Value Added ◽  
Industrial Sector ◽  
Least Square ◽  
Policy Implications ◽  
Series Data ◽  
Significance Level

With the pace of development and competitiveness, innovation plays an important role to capture the market share. Various countries have effective strategies to enhance Research and Development (R&D) and exchange value added products in international market. So, based on this the aim of this research is to examine the role of R&D, industrial design and charges for intellectual property in innovative exports in South Korean economy. Time series data for the period 1998 to 2017, Ordinary Least Square (OLS) and Generalized Method of Moments (GMM) models are used to determine the dynamic interrelationship among the study variables. In summary, the overall results show that there is co-integration rank of in both trace test and value test at 1% significance level. Moreover, OLS and GMM findings depict that there is significant and positive coefficient for ID & RD which represent that they have positive impact on HT. Whereas, the IP displays a negative and significant relationship with high technology exports accordingly. Lastly, the diagnostic tests show that model is stable for the study time period and result is reliable. The current study also suggests some policy implications which can enhance innovative export products of South Korea while enhancing R&D.

scholarly journals ANALISIS DETERMINASI PERTUMBUHAN EKONOMI PROVINSI JAMBI

2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Ali Fahmi
Keyword(s):  
Economic Growth ◽  
Government Spending ◽  
Capital Investment ◽  
Time Series Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
Investment Capital

This research aims to analyze the effect of government spending, investment of foreign capital investment, capital investment In Land and labor against growth of Jambi province during the 2004-2015. This research using Time Series data with regression analysis "Ordinary Least Square (OLS) wear EViews 8.  The findings from this research indicate that Labor become the most variable gives a positive impact against the next economic growth, government spending and investment, while investing PMDN PMA gives negative impact on The Economic Growth Of The Province Of Jambi. PMA investment posit no impact and no signikan against economic growth this is not prevalent, but it is possible the investment PMA in Jambi province is relatively small and still no impact in the absorption of the local Workforce. Menyikapai is an effort to boost the Economic growth of the Province of Jambi then needed a special business development policies should be directed at the activities that are labor-intensive to absorb labor as much as possible. Keywords: economic growth, government spending, PMA, the PMDN, and labor.

scholarly journals ANALISIS PENGARUH INVESTASI SWASTA , PENGELUARAN PEMERINTAH, DAN PENDUDUK TERHADAP PERTUMBUHAN EKONOMI DI KOTA BITUNG

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yandiles Weya ◽  
Vecky A.J. Masinambow ◽  
Rosalina A.M. Koleangan
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Activity ◽  
Time Series Data ◽  
Private Investment ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
North Sulawesi ◽  
The City

ANALISIS PENGARUH INVESTASI SWASTA , PENGELUARAN PEMERINTAH, DAN PENDUDUK TERHADAP PERTUMBUHAN EKONOMI DI KOTA BITUNG Yandiles Weya, Vecky A.J. Masinambow, Rosalina A.M. Koleangan. Fakultas Ekonomi dan Bisnis, Magister Ilmu EkonomiUniversitas Sam Ratulangi, Manado ABSTRAKPada suatu periode perekonomian mengalami pertumbuhan negatif berarti kegiatan ekonomi pada periode tersebut mengalami penurunan. Kota Bitung periode tahun 2004-2014 mengalami pertumbuhan ekonomi yang fluktuasi. Adanya fluktuasi ini dapat dipengaruhi oleh investasi swasta, belanja langsung, dan penduduk Pertumbuhan ekonomi merupakan salah satu tolok ukur keberhasilan pembangunan ekonomi di suatu daerah. Pertumbuhan ekonomi mencerminkan kegiatan ekonomi. Pertumbuhan ekonomi dapat bernilai positif dan dapat pula bernilai negatif. Jika pada suatu periode perekonomian mengalami pertumbuhan positif berarti kegiatan ekonomi pada periode tersebut mengalami peningkatan. Sedangkan jikaTahun 2004-2014 yang bersumber dari Badan Pusat Statistik Provinsi Sulut dan Kota Bitung. Metode analisis yang digunakan adalah model ekonometrik regresi berganda double-log (log-log) dengan metode Ordinary Least Square (OLS). Penelitian ini bertujuan untuk mengetahui apakah perkembangan investasi swasta, belanja langsung, dan penduduk berpengaruh terhadap pertumbuhan ekonomi Kota Bitung. Data yang dipakai menggunakan data time series periodeHasil regresi model pertumbuhan ekonomi dengan persamaan regresinya yaitu  LPDRB  =  - 4,445    +  0.036 LINV  +  0.049 LBL  +  2,229 LPOP.  Dari hasil tersebutmenunjukkan perkembangan investasi swasta, belanja langsung dan penduduk berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi Kota Bitung.Kata Kunci :pertumbuhan ekonomi, belanja langsung, penduduk, regresi bergandaABSTRACT    The economy experienced a period of negative growth means economic activity in this period has decreased. Bitung-year period 2004-2014 economic growth fluctuations. These fluctuations can be influenced by private investment, direct spending, and population Economic growth is one measure of the success of economic development in an area. Economic growth reflects economic activity. Economic growth can be positive and can also be negative. If the economy experienced a period of positive growth means economic activity during the period has increased. Whereas if  years 2004-2014 are sourced from the Central Statistics Agency of North Sulawesi Province and Bitung. The analytical method used is an econometric model double-log regression (log-log) with Ordinary Least Square (OLS). This study aims to determine whether the development of private investment, direct spending, and population affect the economic growth of the city of Bitung. The data used using time series data period.    The results of the regression model of economic growth with the regression equation is LPDRB = - LINV 4.445 + 0.036 + 0.049 + 2.229 LPOP LBL. From these results show the development of private investment, direct expenditure and population positive and significant impact on economic growth of Bitung.Keywords: Economic growth, direct spending, population, regression.

scholarly journals PERMINTAAN JAGUNG SEBAGAI BAHAN BAKU INDUSTRI PAKAN TERNAK DI INDONESIA

Agro Ekonomi ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 1
Author(s):  
Diah Ariyanti ◽  
Any Suryantini ◽  
Masyhuri Masyhuri
Keyword(s):  
Time Series Data ◽  
Import Price ◽  
Least Square ◽  
Raw Material ◽  
Series Data ◽  
Domestic Price ◽  
Ordinary Least Square ◽  
Feed Industry ◽  
Soybean Cake ◽  
Good For

The objectives of this research are to know the factors influencingdomestic maize demand, import maize demand, and total maize demand asraw material for feed industry in Indonesia, also their trend at five yearslater. The research use time series data. during 1976-2004. Simultaneousequations used to analyze domestic and import maize demand as rawmaterial for feed industry in Indonesia, while ordinary least square (OLS)used to analyze total maize demand as raw material for feed industry inIndonesia. The results show that domestic maize demand influenced negatively by maize domestic price and influenced positively by soybean cake import price, and trend of time. Cowpopulation, maize import price, and soybean cake import price influence import maize demand negatively, while fowl population and trend of time influence import maize demand positively. Total maize demand for feed industry in Indonesia positively influenced by soybean cake import price and cow population, and negatively influenced by maize domestic price. Soybean cake iscomplementary good for domestic maize and total maize, but becomesubstitution good for import maize. The trend of maize demand, includingdomestic and import maize demand, as raw material for feed industry inIndonesia increasing in the future.

Pengaruh pertumbuhan ekonomi, inflasi dan pengangguran terhadap tingkat kemiskinan di Sumatera Selatan

2019 ◽  
Vol 16 (1) ◽  
pp. 1-10
Author(s):  
Novegya Ratih Primandari
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Linear Regression ◽  
Linear Regression Model ◽  
Time Series Data ◽  
Secondary Data ◽  
Poverty Rate ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square

This research aims to analyze effect of economic growth, inflation and Unemployment on the Rate of Poverty in the Province of South Sumatera. This research used secondary data in the form of time series data from 2001-2017. The method used quantitative approach by applying a linear regression model with OLS estimation Ordinary Least Square (OLS) method. The results of this study indicate that partially and simultaneously Economic Growth, Inflation and Unemployment have a significant effect on the Poverty Rate in the Province of South Sumatera.

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