Customization of the OSSEM model for application to annual data from the Talar aquifer, Northern Iran

2015 ◽  
Vol 15 (3) ◽  
pp. 656-666
Author(s):  
Nazila Sedaei ◽  
Abolghasem Akbari ◽  
Leila Sedaei ◽  
Jonathan Peter Cox
Keyword(s):  
Time Series ◽  
Water Resources ◽  
Water Deficit ◽  
Time Series Data ◽  
Driving Forces ◽  
Anthropogenic Activities ◽  
Government Support ◽  
Series Data ◽  
Annual Data ◽  
Water Resource System

There are several principal driving forces behind the damaging coastal water resources depletion in many countries, including: high population growth, degrading water resources due to overexploitation and contamination, lack of awareness among local beneficiaries regarding sustainable management, and deficient government support and enforcement of conservation programs. To ensure a water resource system is productive in coastal areas, holistic and comprehensive management approaches are required. To address the aforementioned issues, a combined methodology which considers anthropogenic activities, together with environmental problems defined as the Overall Susceptibility Socio-Ecological System Environmental Management (OSSEM) has been investigated. The OSSEM model has been applied successfully in Spain based upon daily time series data. This research is ground breaking in that it integrates the OSSEM model in a geographic information system (GIS) environment to assess the groundwater contamination based on annual time series data and the assessment of system management by means of an overall susceptibility index (OSI). Centered on OSI indicators, the renewal, salinization and water deficit potentials in the Talar aquifer were estimated to be 4.89%, 4.61%, and 3.99%, respectively. This data demonstrates a high susceptibility in terms of environmental pollution, salinization, and water deficit.

scholarly journals Aggregation, asymmetry, and common factors for Bangladesh’s exchange rate–trade balance relation

2021 ◽  
Author(s):  
Rabeya Khatoon ◽  
Md Emran Hasan ◽  
Md Wahid Ferdous Ibon ◽  
Shahidul Islam ◽  
Jeenat Mehareen ◽  
...  
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Trade Balance ◽  
Time Series Data ◽  
Government Support ◽  
Series Data ◽  
Aggregate Analysis ◽  
Long Run ◽  
J Curve ◽  
Rate Relationship

AbstractWe present an application of the recent CS-ARDL methodology in the context of a country’s trade balance–exchange rate relationship. The trade balance is expected to deteriorate first before improving in response to currency depreciation and vice versa, widely known as the J-curve effect satisfying the Marshall–Lerner condition in the long run. Combining bilateral and aggregate analysis in one setting by constructing specific panel data with one reference country, we find that aggregate analysis is sensitive to our allowance for heterogeneity. Estimates using the aggregate time series data show evidence favoring the J-curve relation, whereas the aggregate analysis resulting from the panel time series data shows that currency appreciation improves trade balance in Bangladesh in the long run, which goes against the Marshall–Lerner condition. With the reference of the existing commodity-level literature, we argue that this atypical scenario lines with the realities of a ‘small’ economy like Bangladesh, where her exporters attempt to maintain their market share with some government support. The study provides essential policy suggestions by identifying the significant contributors to Bangladesh’s trade balance–exchange rate relationship: China, Japan, and Singapore.

scholarly journals Spatiotemporal Variability in the Hydrometeorological Time-Series over Upper Indus River Basin of Pakistan

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Muhammad Yaseen ◽  
Ijaz Ahmad ◽  
Jiali Guo ◽  
Muhammad Imran Azam ◽  
Yasir Latif
Keyword(s):  
Time Series ◽  
Water Resources ◽  
Time Series Data ◽  
Annual Runoff ◽  
Indus Basin ◽  
Spatiotemporal Variability ◽  
Series Data ◽  
Entire Study ◽  
Water Resources Projects ◽  
Slope Estimator

This paper investigates the spatiotemporal variability in hydrometeorological time-series to evaluate the current and future scenarios of water resources availability from upper Indus basin (UIB). Mann–Kendall and Sen’s slope estimator tests were used to analyze the variability in the temperature, precipitation, and streamflow time-series data at 27 meteorological stations and 34 hydrological stations for the period of 1963 to 2014. The time-series data of entire study period were divided into two equal subseries of 26 years each (1963–1988 and 1989–2014) to assess the overlapping aspect of climate change acceleration over UIB. The results showed a warming pattern at low altitude stations, while a cooling tendency was detected at high-altitude stations. An increase in streamflow was detected during winter and spring seasons at all hydrological stations, whereas the streamflow in summer and autumn seasons exhibited decreasing trends. The annual precipitation showed a significant decreasing trend at ten stations, while a significant increasing trend was observed at Kohat station during second subseries of the study period. The most significant winter drying trends were observed at Gupis, Chitral, Garidopatta, and Naran stations of magnitude of 47%, 13%, 25%, and 18%, respectively, during the second subseries. The annual runoff exhibited significant deceasing trends over Jhelum subbasin at Azad Pattan, Chinari, Domel Kohala, Muzaffarabad, and Palote, while within Indus basin at Chahan, Gurriala, Khairabad, Karora, and Kalam in the second time-series. It is believed that the results of this study will be helpful for the decision-makers to develop strategies for planning and development of future water resources projects.

scholarly journals An association between change in types of roads and cultivated farm area at Agriculture Sector

2021 ◽  
Vol 258 ◽  
pp. 02008
Author(s):  
Elena Kozlova ◽  
Muhammad Imtiaz Subhani ◽  
Fatima Ulbasheva ◽  
Denis Ushakov
Keyword(s):  
Time Series ◽  
Significant Relationship ◽  
Data Stream ◽  
Time Series Data ◽  
Series Data ◽  
Annual Data ◽  
High Type ◽  
Agriculture Sector

This study investigates the association between change in types of roads and cultivated farm area at Agriculture Sector. Time series data was used to interrogate the proposition of this paper. The time series annual data from 2000 to 2020 was collected from the Eikon data stream on variables which include change in high type roads & change in low type roads around the farm area and cultivated farm area from of the 12 rural zones of provinces of Sind, Punjab and KPK of Pakistan. Findings confirmed that there is a significant association between increases in low type of roads and cultivates farm area of all selected rural zones of outlined provinces. While there is no significant relationship between the high type roads and the farm area and the cultivated area of stated 12 zones of outlined provinces findings further revealed.

scholarly journals Factors influencing fertilizer demand in developing countries: evidence from Malawi

2016 ◽  
Vol 6 (1) ◽  
pp. 59-71 ◽  
Author(s):  
Alhaji Bukar Mustapha ◽  
Rusmawati Said
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Empirical Studies ◽  
Series Data ◽  
Annual Data ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Major Factors ◽  
Fertilizer Demand

Purpose – The purpose of this paper is to examine some factors that influence the intensity of fertilizer use in Malawi. Design/methodology/approach – The study uses Engle-Granger, Engle-Yoo three steps and autoregressive distributed lags (ARDLs) approaches to examine the long-run and the short-run dynamics among the variables using annual data from 1961 to 2006. Findings – The econometric results indicate that all the variables exert significance influence on the quantity of fertilizer demanded excluding population growth, while the results of the short-run model indicate that the responsiveness of fertilizer demand to all the variables is significant. Research limitations/implications – Although, this study has provided some helpful results in understanding the major factors responsible for low fertilizer consumption in the study but some time series data on important factors are lacking. Originality/value – The work is different from already existing literature in Malawi. The authors included subsidy and real gross domestic product to account for the effect of macroeconomic shocks and policies, which has not been accounted for by other related empirical studies. Moreover, this study used ARDLs techniques that can overcome the problem of insufficiently long time series data which is a significant contribution to the existing literature.

scholarly journals INFLUENCE INCOME DIVERSIFICATION, BANK LIQUIDITY, AND FINANCIAL LAVERAGE ON PROFITABILITY WITH BANK EFFICIENCY, AS INTERVENING VARIABLES IN SHARIA COMMERCIAL BANKS 2015-2019

2021 ◽  
Vol 8 (02) ◽  
pp. 110-124
Author(s):  
Novita Sari ◽  
Arna Asna Annisa, MSI
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Commercial Banks ◽  
Quantitative Research ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Annual Data ◽  
Bank Efficiency ◽  
Intervening Variables

Abstract The purpose of this study was to determine the effect of Income Deverfication, Bank Liquidity, and Financial Laverage on Profitability with Bank Efficiency, as an Intervening variable in Islamic Commercial Banks in 2015-2019. This research uses quantitative research by using regression analysis as data analysis. This study uses secondary data in the form of time series annual data of Islamic commercial banks for the period 2015 to 2019. The required data is then analyzed using the SPSS 22 application tool. The results show that FBI, FDR have a positive and non-significant effect on ROA, DER has a negative and no effect. significant effect on ROA, FBI, FDR positive and not significant effect on ROA, DER negatively and not significant on ROA, BOPO positive and significant effect on ROA.Keywords: Income Deverfication, Bank Liquidity, and Financial Laverage on Profitability with Bank EfficiencyAbstrak Tujuan penelitian ini dilakukan adalah untuk mengetahui pengaruh Pengaruh Income Deverfication, Bank Liquidity, dan Financial Laverage terhadap Profitability dengan Bank Effeciency, sebagai variabel Intervening pada Bank Umum Syariah Tahun 2015-2019. Penelitian ini menggunakan jenis penelitian kuantitatif dengan menggunakan analisis regresi sebagai analisi data. Penelitian ini menggunakan data sekunder berbentuk time series data tahunan bank umum syariah periode 2015 sampai 2019. Data yang diperlukan kemudian dianalisis menggunakan alat bantu aplikasi SPSS 22. Hasil penelitian menunjukan bahwa FBI, FDR berpengaruh positif dan tidak singnifikan terhadap ROA, DER berpengaruh negatif dan tidak singnifikan terhadap ROA, FBI, FDR berpengaruh positif dan tidak singnifikan terhadap BOPO, DER berpengaruh negatif dan tidak singnifikan terhadap BOPO, BOPO berpengaruh positif dan singnifikan terhadap ROA.Kata Kunci: Income Deverfication, Bank Liquidity, dan Financial Laverage terhadap Profitability dengan Bank Effeciency.

scholarly journals IMPACT OF EXCHANGE RATE FLUCTUATIONS ON DOMESTIC INVESTMENT IN NIGERIA (1986-2017)

2020 ◽  
pp. 40-46
Author(s):  
UDEH Samson Okey ◽  
EDEH Chukwudi Emmanuel
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Foreign Exchange Market ◽  
Time Series Data ◽  
Series Data ◽  
Annual Data ◽  
Financial Deepening ◽  
Domestic Investment ◽  
Exchange Rate Fluctuations ◽  
The Impact

The major objective of this study is to analyze the impact of exchange rate fluctuations on domestic investment in Nigeria, using annual data covering the period 1986–2017. Time series data on domestic investment, gross domestic product, interest rate, financial deepening and exchange rate were obtained from the Central Bank of Nigeria Statistical Bulletin 2017 edition. The technique of Autoregressive distributed lagged modeling (ARDL) is adopted to examine the time series data. Findings reveal that the relationship between exchange rate fluctuations and domestic investment in Nigeria is negative. However, exchange rate fluctuation has no significant impact on domestic investment in the long run p(t) value 0.6201> 0.05) and short run p(t) value 0.6244 > 0.05). The study suggests that monetary authorities in Nigeria should strive for currency swap agreements with other nations that trade heavily with Nigeria, for example, India, Turkey, United Kingdom. This would help in mitigating the effects of currency fluctuations in the foreign exchange market. KEYWORDS: Domestic investment, Exchange rate fluctuations, ARDL, GDP

scholarly journals Spatio-temporal monitoring of vegetation phenology in the dry sub-humid region of Nigeria using time series of AVHRR NDVI and TAMSAT datasets

2018 ◽  
Vol 10 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Babatunde Adeniyi Osunmadewa ◽  
Worku Zewdie Gebrehiwot ◽  
Elmar Csaplovics ◽  
Olabinjo Clement Adeofun
Keyword(s):  
Time Series ◽  
Land Cover ◽  
Time Series Data ◽  
Anthropogenic Activities ◽  
Phase 1 ◽  
Climatic Variability ◽  
Annual Rainfall ◽  
Series Data ◽  
Vegetation Phenology ◽  
The Impact

Abstract Time series data are of great importance for monitoring vegetation phenology in the dry sub-humid regions where change in land cover has influence on biomass productivity. However few studies have inquired into examining the impact of rainfall and land cover change on vegetation phenology. This study explores Seasonal Trend Analysis (STA) approach in order to investigate overall greenness, peak of annual greenness and timing of annual greenness in the seasonal NDVI cycle. Phenological pattern for the start of season (SOS) and end of season (EOS) was also examined across different land cover types in four selected locations. A significant increase in overall greenness (amplitude 0) and a significant decrease in other greenness trend maps (amplitude 1 and phase 1) was observed over the study period. Moreover significant positive trends in overall annual rainfall (amplitude 0) was found which follows similar pattern with vegetation trend. Variation in the timing of peak of greenness (phase 1) was seen in the four selected locations, this indicate a change in phenological trend. Additionally, strong relationship was revealed by the result of the pixel-wise regression between NDVI and rainfall. Change in vegetation phenology in the study area is attributed to climatic variability than anthropogenic activities.

Graphical Exploratory Data Analysis for Categorical Longitudinal and Time Series Data

2013 ◽  
Author(s):  
Stephen J. Tueller ◽  
Richard A. Van Dorn ◽  
Georgiy Bobashev ◽  
Barry Eggleston
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Exploratory Data

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

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