scholarly journals VEGETATION DYNAMICS TREND USING SATELLITE TIME SERIES IMAGERY

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 783-788
Author(s):  
Z. Najafi ◽  
P. Fatehi ◽  
A. A. Darvishsefat
Keyword(s):  
Time Series ◽  
Trend Analysis ◽  
Vegetation Dynamics ◽  
Kendall Test ◽  
Significant Trend ◽  
Least Square ◽  
Positive Trend ◽  
Vegetation Dynamic ◽  
Ordinary Least Square ◽  
Ordinary Least Square Regression

Abstract. In this study, the trend of vegetation dynamics in Kermanshah city assessed using NDVI MOD13Q1 product over the time period of 2000–2017. Based on time series imagery the pick of vegetation phenology stage (maximum NDVI) identified, then the trend of vegetation dynamic was investigated using the Ordinary Least Square regression and the Theil-Sen approaches. To generate a pixel-wise trend map, a pixel-based vegetation dynamics was also implemented. A non-parametric Mann-Kendall statistics approach was used to examine a statistically significant trend analysis. The mean maximum NDVI observed for the first half or second half of April. Trend analysis using regression and Theil-Sen methods indicated a no-trend in vegetation fractions. The pixel-based trend assessment using regression showed that a 50% of the study area faced a positive trend and reaming part faced a negative trend. The Theil-Sen method revealed the no-trend for a large majority of area. The Mann-Kendall test indicated that only 20 percent of the area shows a statistically significant trend.

Precipitation Trend Analysis by Mann-Kendall Test: A Case of Tianchang County Anhui Province, China

2013 ◽  
Vol 864-867 ◽  
pp. 2218-2223 ◽  
Author(s):  
Elsie Akwei ◽  
Bao Hong Lu ◽  
Han Wen Zhang
Keyword(s):  
Climate Change ◽  
Time Series ◽  
Trend Analysis ◽  
Null Hypothesis ◽  
Kendall Test ◽  
Anhui Province ◽  
Significant Trend ◽  
Precipitation Data ◽  
Precipitation Time Series ◽  
Mann Kendall Test

The purpose of this research is to study the temporal variability of precipitation time series of Tianchang County in Anhui Province, China to aid in the understanding of the state of the hydrology of the catchment. Trend analysis of one of the main component of the water balance of a catchment and a climate variable, precipitation was conducted with the aim of detecting a possible trend in the precipitation time series of Tianchang County, the non-parametric Mann-Kendall test was applied to precipitation series from 1951-2010 of Tianchang County. It was performed using Trend (version 1.0.2) to identify the significant positive or negative trends in the precipitation data if any. The 59 years period of precipitation data for the different towns in whole area showed, on the whole, some significant trend at an alpha level of 0.01 and 0.05 when grouped into the four seasons present in the area. The trend analysis revealed an overall upward and significant trend in five towns namely Datong, Xinjie, Shiliang, Qinlan and Tongcheng with downward statistically non-significant trend in the other ten areas .Using hypothesis testing, the null hypothesis states that there is no trend and alternative state there is a trend. From the results we reject the null hypothesis within the level of confidence 0.05 and 0.01. The rising rate of precipitation in some months and decreasing in others signifies an overall random pattern in the time series. This result is a part contribution to the effect of Climate change on hydrology and indicates that there is still room for research on the impact of climate change to ensure sustainable development in future.

Tacit knowledge transfer in coopetition

2017 ◽  
Vol 10 (4) ◽  
pp. 453-468 ◽  
Author(s):  
Amit Kumar ◽  
Swarup Kumar Dutta
Keyword(s):  
Knowledge Transfer ◽  
Tacit Knowledge ◽  
Least Square ◽  
Service Firms ◽  
Content Type ◽  
Ordinary Least Square ◽  
Tacit Knowledge Transfer ◽  
Potential Benefits ◽  
Ordinary Least Square Regression ◽  
Empirical Context

Purpose The purpose of this paper is to understand how firms affiliated to business groups (BGs) are able to improve their innovation capability (IC) when engaged in coopetition (collaboration between competing firms). This study aims to explore the relationship between coopetitive relationship strength (CRS), the extent of tacit knowledge transfer (TKT) and IC as well as examine the moderating effect of both BG affiliation and coopetitive experience. Design/methodology/approach The paper examines inter-firm relationships within the empirical context of Indian manufacturing and service firms, by adopting (ordinary least square) regression analysis to test the various hypotheses. The central thesis is that the TKT in coopetition constitutes an important driver to the IC. Findings The paper provides some evidence that inter-firm CRS influences the extent of TKT, and the extent of TKT affects firm IC. The results support that firms in coopetition gain more if their coopetitive partner has a BG affiliation. In absence of a BG affiliation of any of the coopetitive partners, the buildup of TKT reduces as CRS is increased. Research limitations/implications Additional large-sample of data may attempt to validate relationships. The study, however, did not consider all enablers that are critical for TKT. Despite these limitations, analysis provides important and novel perspectives. Practical implications The paper contributes to develop executives’ practices in understanding potential benefits of coopetitive relationship. The implications of this research are important for managers seeking understanding of the management of coopetition. Originality/value The paper makes a modest attempt to investigate the various scenarios of the presence or absence of the moderation of BGs and its impact on CRS in the buildup of TKT. This is the first attempt to link coopetition to the TKT in the BG literature. This study also contributes to our understanding of coopetition in a non-western context.

Users’ perception of cybersecurity, trust and cloud computing providers’ performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongjiang Xu ◽  
Sakthi Mahenthiran
Keyword(s):  
Cloud Computing ◽  
Structural Equation ◽  
Design Methodology ◽  
Positive Relationship ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Ordinary Least Square ◽  
Ordinary Least Square Regression ◽  
Computing Literature

Purpose This study aims to develop a scale to measure the cloud provider’s performance and it investigates the factors that impact that performance from the users’ perspective. Design/methodology/approach This paper proposes a research framework, develops hypotheses and conducts a survey to test the framework. Findings The results from both ordinary least square regression and structural equation modeling analyzes indicate that information technology complexity negatively and significantly affects users’ perception of the cloud computing providers’ performance. Additionally, the trust in the supervisor significantly enhances the otherwise insignificant positive relationship between providers’ cybersecurity capability and users’ perception of their providers’ performance. Originality/value The research makes important contributions to the cloud computing literature, as it measures users’ perception of the cloud computing provider’s performance and links it with cybersecurity, technical complexity and incorporates both the trust in the client firm’s supervisor and the strength of cybersecurity offered by cloud computing provider.

scholarly journals Analisis faktor-faktor yang mempengaruhi pertumbuhan ekonomi di Provinsi Riau tahun 2000-2018

SOROT ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 87
Author(s):  
Miftakul Khoiri ◽  
Syapsan Syapsan ◽  
Sri Endang Kornita
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Financial Crisis ◽  
Global Financial Crisis ◽  
Capital Expenditure ◽  
Labour Force ◽  
Private Investment ◽  
Least Square ◽  
Domestic Product ◽  
Ordinary Least Square

Terdapat beberapa permasalahan yang berbeda pada sumber daya di setiap daerah, yaitu investasi, tenaga kerja dan teknologi sebagai faktor pembentuk output perekonomian daerah. Penelitian ini menganalisis hubungan antara investasi dalam bentuk Penanaman Modal Asing (PMA), Penanaman Modal Dalam Negeri (PMDN), belanja modal pemerintah, angkatan kerja dan ekspor dengan pertumbuhan ekonomi. Tujuan penelitian adalah melihat pengaruh besarnya faktor-faktor tersebut terhadap Pertumbuhan ekonomi di Provinsi Riau 2000-2018. Untuk kepentingan khusus penelitian dengan tujuan melihat pengaruh krisis keuangan global tahun 2008 terhadap pertumbuhan ekonomi maka dimasukkan variabel dummy krisis keuangan. Penelitian ini adalah penelitian kuantitatif dengan metode regresi berganda log-log linier dan data time series. Model diestimasi dengan metode Ordinary Least Square (OLS). Hasil penelitian menunjukkan bahwa PMA, PMDN, angkatan kerja dan ekspor signifikan positif mempengaruhi pertumbuhan ekonomi yang diukur dengan nilai Produk Domestik Regional Bruto (PDRB). Begitu juga dengan dummy krisis keuangan global meskipun berlangsung singkat ternyata berpengaruh terhadap PDRB di Provinsi Riau. Namun demikian ditemukan bahwa belanja modal pemerintah tidak signifikan mempengaruhi pertumbuhan PDRB.There are some problems in resources of the regions, namely investment, labour force, and technology as the component factors to make the output of the region’s economy. This study aims to analyze the relationship between investment as consist of foreign direct investment (FDI), private investment, government capital expenditure, labour force, export and economic growth to the gross regional domestic product growth of regency in Riau Province 2000-2018. For the specific purpose of describing global financial crises in 2008 influence the economic growth, we put the dummy variable of the financial crisis in the model. This research is quantitative descriptive with the multiple regression model of log-linear and time series method using Ordinary Least Square (OLS). The study shows that government capital expenditure is statistically not significant to affect the gross regional domestic product growth. FDI, private investment, labour force and export is statistically significant to affect the gross regional domestic product growth. As well as a dummy of the global financial crisis is statistically significant to affect the gross regional domestic product growth.

scholarly journals THE ROLE OF HOUSEHOLD COMPOSITION IN EGG CONSUMPTION IN THE OBAFEMI AWOLOWO UNIVERSITY COMMUNITY

2021 ◽  
Vol 28 (1) ◽  
pp. 98-102
Author(s):  
A. B. AYANWALE ◽  
J. O. AJETOMOBI
Keyword(s):  
Demand Function ◽  
Household Composition ◽  
Least Square ◽  
Function Parameter ◽  
Parameter Estimates ◽  
Ordinary Least Square ◽  
Egg Consumption ◽  
Ordinary Least Square Regression ◽  
University Community

This paper exainîned the role of household composition in egg cunsumption in Obafemi Awolowo University Community. An Ordinary Least Square regression model was used to obtain at-home demand function parameter estimates for egg. Positive and signiflcant relationship was found between quantity of eggs consumed and both household size and the age of children. A 1% increase in each of the variables would cause a 4.68% and 5.71 % increase in egg consumption respectively. The need for education of the household on the importance of egg consumption and keeping an optimum family size was suggested based on the findings of the study.

scholarly journals THE EFFECT OF FINANCIAL EXPERTISE ON COMPENSATION AND BOARD OF DIRECTORS TURNOVER

2018 ◽  
Vol 2 (1) ◽  
pp. 51-64
Author(s):  
Danar Irianto ◽  
Nuranisa Anugerah
Keyword(s):  
Board Of Directors ◽  
Least Square ◽  
Graduate Degree ◽  
Board Size ◽  
Post Graduate ◽  
Ordinary Least Square ◽  
Least Square Regression ◽  
Financial Expertise ◽  
Ordinary Least Square Regression ◽  
Financial Company

This research aims to explains association between financial expertise of directors to directors compensation and directors turnover of Indonesia non financial company in 2011-2012. Using ordinary least square regression we used four variables to define financial expertise of directors: age of the directors, tenure of the directors, the post-graduate degree (MBA), and the accounting certification (CPA). However, this study found no association financial expertise to compensation and directors turnover. We hope this study can contributes to financial expertise, compensation, and turnover literature. We also provide implications for companies in determining the compensation of directors based on financial expertise. Further research can be improve by add new variabel such as complexcity and board size.

scholarly journals DETERMINASI KEMISKINAN PENDUDUK JAWA TENGAH 2013-2017

2020 ◽  
Vol 2019 (1) ◽  
pp. 478-483
Author(s):  
Laeli Sugiyono ◽  
Maharanny Diwid Prasetyawati
Keyword(s):  
Time Series ◽  
Fixed Effect ◽  
Least Square ◽  
Cross Sectional ◽  
Ordinary Least Square

Penelitian ini bertujuan menganalisis determinasi pengungkapan kemiskinan penduduk di Jawa Tengah. Penelitian menggunakan data sekunder berupa data panel gabungan data time series 2013-2017 dan data cross-sectional kabupaten/kota. Analisis data menggunakan model regresi Ordinary Least Square (OLS) dan model Efek Tetap (Fixed Effect).Penelitian menyimpulkan bahwa daterminasi kemiskinan penduduk di Jawa Tengah dapat diungkapkan melalui perubahan IPM, tingkat pengangguran terbuka (TPT), upah minimum kabupaten/kota (UMK), dan pertumbuhan ekonomi (PE). TPT sebagai variabel bebas berpengaruh signifikan positif, sedangkan IPM dan UMK berpengaruh signifikan negatif pada taraf nyata 5% terhadap kemiskinan penduduk sebagai variabel tidak bebas (dependent).

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 PENGARUH PRODUK DOMESTIK BRUTO DAN SBI TERHADAP PENERIMAAN PAJAK DI INDONESIA

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Rahmanta Ginting
Keyword(s):  
Time Series ◽  
Research Result ◽  
Least Square ◽  
Domestic Product ◽  
Tax Revenue ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Dependent Variables ◽  
Negative Effect ◽  
Positive Effect

The research to analyse effect net domestic product and SBI on tax revenue in Indonesia with independent variables  net domestic product and SBI also dependent variables tax revenue. Data is a time series between 1981 - 2010 with ordinary least square (OLS) and the model of formula used is multiply linier regression.  The research result shows that net domestic product gives a positive effect and significant on tax revenue in Indonesia on 99% level. While SBI has a negative effect and significant on tax revenue in Indonesia on 90% level.

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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