Analysis of Influencing Factors of RMB Exchange Rate Trend Based on Least Square Method

The objectives of the research are to know the influence relative price and external factor i.e. exchange rate, and real GDP exporting country of volume Indonesia export coffee. The data used in this research is secondary data in forms of time series. Analytical method used in the study is Ordinary Least Square method. The result of this research indicated that relative price, Real GDP, and lag export volume are affected significantly and positively upon of volume export. Exchange rate affected non-significantly upon of Indonesia export coffee to United States. While for England: Exchange rate and lag export volume affected significantly and positively upon of volume export. Relative price and Real GDP do not affected significantly upon of volume Indonesia export coffee. If the relative price changed and external factors (i.e. foreign price, exchange rate, real GDP exporting country) will influenced to Indonesian total export coffee.DOI: 10.15408/sjie.v1i2.2602

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Pengaruh kurs, net ekspor, dan penanaman modal asing terhadap pertumbuhan ekonomi Indonesia

e-Journal Perdagangan Industri dan Moneter ◽

10.22437/pim.v7i1.8356 ◽

2019 ◽

Vol 7 (1) ◽

pp. 39-50

Author(s):

Tuty Cahya Azizah ◽

Haryadi Haryadi ◽

Etik Umiyati

Keyword(s):

Economic Growth ◽

Exchange Rate ◽

Exchange Rates ◽

Foreign Investment ◽

Secondary Data ◽

Least Square Method ◽

Least Square ◽

Ordinary Least Square ◽

Net Exports ◽

The Exchange Rate

The purpose of this study is to analyze the development of exchange rates, net exports, FDI, and Indonesia's economic growth in 1998-2017 and to analyze the effect of exchange rates, net exports, and foreign investment (FDI) on Indonesia's economic growth in 1998-2017. used in this study is secondary data sourced from the Central Statistics Agency (BPS). The analytical tool used in this study is descriptive and quantitative analysis, namely by multiple linear regression. The research method used in this study is the "Ordinary Least Square (Ordinary Least Square) method. OLS). The test results using OLS show that together the variables of the exchange rate, net exports, and FDI have a significant effect on Indonesia's economic growth. While partially, the exchange rate has a positive and significant effect on Indonesia's economic growth. Meanwhile, net exports have a positive and significant impact on Indonesia's economic growth. Meanwhile, FDI has a positive and significant impact on Indonesia's economic growth. Keywords: Exchange rate, Net exports, Foreign investment, Economic growth.

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Influencing factors and reduction of domestic solid waste at university dormitory in Shanghai, China

Scientific Reports ◽

10.1038/s41598-021-04582-0 ◽

2022 ◽

Vol 12 (1) ◽

Author(s):

Yuhan Pan ◽

Mengyang Li ◽

Hongwei Guo ◽

Yuanyuan Li ◽

Ji Han

Keyword(s):

Waste Management ◽

Solid Waste ◽

Influencing Factors ◽

Least Square Method ◽

Least Square ◽

Waste Reduction ◽

Waste Generation ◽

Regional Environment ◽

Financial Condition ◽

Domestic Solid Waste

AbstractIncreasing domestic solid waste (DSW) is becoming one of the most serious challenges for city and regional environment. As an epitome of the society, the investigation on the influencing factors and reduction of DSW of university students can not only provide policy suggestions for the waste management in the university campus, but also can achieve demonstration effect to other communities due to its high social status and wide impacts. This research combined direct weighing, questionnaire surveys, and regression analysis to quantify the influencing factors of DSW at East China Normal University’s dormitory in Shanghai. Direct weighting and questionnaire survey were conducted in 112 randomly selected dormitory rooms. Totally 523 valid questionnaires were collected. It is found that the average waste generation was 0.275 kg/day/cap, in which residual waste accounted for 64% of total, followed by household food waste (29%), and recyclable waste (7%). Regressions based on ordinary least square method suggested that students’ attitude towards waste played the most important role in affecting the waste reduction with its elasticity − 0.195. Lower educational level and better financial condition would lead to more waste generation, whose elasticity was 0.148 and 0.098 respectively. The influences of gender and major varied from waste types. Policies implications for university administration departments for sustainable waste and resource management include developing personalized and humanized waste management policies, enhancing environmental awareness through diverse educational activities, and expanding the publicity role of campus cultural activities on waste reduction.

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ANALISIS PENGARUH INFLASI DAN KURS TERHADAP EKSPOR DI NEGARA ASEAN 5 PERIODE TAHUN 2012-2016

INFO ARTHA ◽

10.31092/jia.v1i2.130 ◽

2017 ◽

Vol 1 (2) ◽

pp. 121-128

Author(s):

Muhammad Fuad Anshari ◽

Adib El Khilla ◽

Intan Rissa Permata

Keyword(s):

International Trade ◽

Exchange Rate ◽

Foreign Exchange ◽

Inflation Rate ◽

Least Square Method ◽

Least Square ◽

Observation Data ◽

Open Market ◽

Ordinary Least Square ◽

Exchange Rate Depreciation

Every open market system based country is doing international trade activity everyday like export-import. Many research found that export is effected by foreign exchange and inflation rate. But from the latest data, in UK, the weakening of poundterling has failed to increase their export value. This research try to find an evidence if there is relation between foreign exchange and inflation rate on export in ASEAN-5 countries such as Indonesia, Malaysia, Philippines, Singapore, and Thailand. And how these variables affecting the export. Using 5 years observation data from 2012 to 2016 and ordinary least square method we conclude that simultaneously foreign exchange and inflation rate has significant effect on export. Partially, exchange rate depreciation has negative significant effect on Indonesia, Malaysia, and Singapore Export. Also has positive significant effect on Philippines export. While, inflation rate only has positive significant effect on Philippines export. Setiap negara yang menganut sistem perekonomian terbuka tidak akan lepas dari aktifitas perdagangan internasional seperti ekspor-impor. beberapa penelitian menyebutkan bahwa aktifitas ekspor seringkali dipengaruhi oleh nilai tukar dan tingkat inflasi suatu negara. Namun berdasarkan data terbaru diketahui bahwa di Inggris melemahnya nilai tukar poundsterling tidak mampu meningkatkan ekspor negaranya. Penelitian ini berusaha untuk membuktikan apakah terdapat pengaruh antara nilai tukar dan inflasi terhadap ekspor di negara ASEAN-5 seperti Indonesia, Malaysia, Filipina, Singapura, dan Thailand serta bagaimana variabel-variabel tersebut mempengaruhi ekspor apakah secara positif atau negatif. Dengan mengunakan periode pengamatan di tahun 2012 – 2016 dan metode analisis ordinary least square diketahui bahwa secara simultan inflasi dan kurs berpengaruhi terhadap nilai ekspor di negara ASEAN-5. Secara parsial, depresiasi kurs berpengaruh negatif signifikan terhadap ekspor negara Indonesia, Malaysia, dan Singapura serta berpengaruh positif signifikan di Filipina. Sedangkan Inflasi hanya berpengaruh secara positif signifikan di Filipina.

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Gold production in the Russian Federation: The analysis and forecast

National Interests Priorities and Security ◽

10.24891/ni.17.7.1326 ◽

2021 ◽

Vol 17 (7) ◽

pp. 1326-1343

Author(s):

Chi CHANG ◽

Viktor M. ZAERNYUK

Keyword(s):

Mathematical Model ◽

Exchange Rate ◽

Gold Deposit ◽

Russian Federation ◽

Least Square Method ◽

Gold Deposits ◽

Least Square ◽

Economic Forecast ◽

Gold Production ◽

The Russian Federation

Subject. The article discusses possible lines for improving the methodological framework of the long-term economic forecast of gold production in the Russian Federation, relying upon the mathematical apparatus of econometric models. Objectives. We devise an economic-mathematical model for predicting the gold production with respect to the specifics of the economic development in Russia’s gold mining industry. Methods. The study is based in the correlation and regression methods for analyzing publicly available statistical data on the gold market. The least square method is taken as the methodological approach to designing the economic-mathematical model for forecasting. Results. Each gold deposit is found to be distinctive, having its own qualities, which seriously differ from those of other gold deposit. As a result of the analysis, we discovered key factors, which significantly influence the gold production, such as demand and price for gold, the amount and quality of geological reserves of gold, the amount of investment to be made in geological prospecting, national exchange rate and key rate of the Bank of Russia. We substantiated the use of the linear three-factor model, which involves gold production volumes in Russia, demand for gold, national exchange rate and price for gold as regressors. According to our estimates, in the Russian Federation, gold production will have reached 370–380 tons by 2025. Conclusions. Based on the least square method, the structural forecast apparatus does not account for geological and geographic-economic distinctions of gold deposits due to their unique nature. Therefore, determining regressors for the model, we predominantly focuses on open access data.

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DAMPAK IMPOR DAN EKSPOR JAGUNG TERHADAP PRODUKTIVITAS JAGUNG DI INDONESIA

ETIKONOMI ◽

10.15408/etk.v11i2.1891 ◽

2012 ◽

Vol 11 (2) ◽

Author(s):

Susilo Utomo

Keyword(s):

Exchange Rate ◽

Quantitative Methods ◽

Econometric Model ◽

Least Square Method ◽

Least Square ◽

Percent Error ◽

Corn Productivity ◽

Net Export ◽

The Impact ◽

Statistical Criteria

The aim of this research is to analyze the impact of corn’s net export to the corn productivity in Indonesia. This research used the quantitative methods with two stage least square method. In this research, the statistical criteria to validate the econometric model predicted value were using root means square errors (RMSE), root means squares percent error (RMSPE) and theil’s inequality coefficient (U). The result shown that domestic corn price, world corn price, and exchange rate influence to corn export and impor in Indonesia. The corn export and import value give an influence to corn productivity in IndonesiaDOI: 10.15408/etk.v11i2.1891

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Determinant Analysis of Decrease In Manufacturing Export Value Amid Depreciation of Rupiah Exchange Rate

Economics Development Analysis Journal ◽

10.15294/edaj.v6i1.22203 ◽

2018 ◽

Vol 6 (1) ◽

pp. 69-74

Author(s):

Nanik Ika Nurhayati

Keyword(s):

Exchange Rate ◽

Foreign Currency ◽

Raw Materials ◽

Value Added ◽

Least Square Method ◽

Least Square ◽

Raw Material ◽

Analytical Technique ◽

The Government ◽

Determinant Analysis

Indonesia uses a system of floating exchange rate. The depreciation of the exchange rate, in which the value of domestic currency decreases and the value of foreign currency increases, will increase the export. The high depreciation of Rupiah should be able to increase the competitiveness of Indonesia’s export products, especially the manufacturing exports that have the greatest contribution to the total exports. However, what has happened in recent years is very different. The depreciation of Rupiah value cannot spur the value of Indonesia’s manufacturing exports. Based on the fact above, the research is entitled "Determinant Analysis of Decrease in Manufacturing Export Value amid Depreciation of Rupiah Exchange Rate. This research uses time series secondary data for the quarterly period of 2006Q1-201Q3 that is obtained from Bank Indonesia, International Financial Statistics, and World Bank. The analytical technique used is the OLS (Ordinary Least Square) method using E-Views 6. The results of this research indicate that the Rupiah exchange rate and the GDP growth of the export destination countries have a positive relationship but are insignificant to the manufacturing exports, while the inflation rate is negative and insignificant to the value of manufacturing exports. Meanwhile, the raw material import has a significant positive effect on manufacturing exports. This shows that the Indonesia’s manufacturing exports still depend on the imported raw materials. Related to this fact, the government must take a strategic step in the short term to increase the non-oil exports, especially the exports of manufactured products that are the high value-added export products.

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Application of GWO-ELM Model to Prediction of Caojiatuo Landslide Displacement in the Three Gorge Reservoir Area

Water ◽

10.3390/w12071860 ◽

2020 ◽

Vol 12 (7) ◽

pp. 1860 ◽

Cited By ~ 6

Author(s):

Liguo Zhang ◽

Xinquan Chen ◽

Yonggang Zhang ◽

Fuwei Wu ◽

Fei Chen ◽

...

Keyword(s):

Influencing Factors ◽

Moving Average ◽

Warning System ◽

Least Square Method ◽

Least Square ◽

Gray Wolf ◽

Displacement Prediction ◽

Reservoir Area ◽

Landslide Displacement Prediction ◽

Three Gorge Reservoir

In order to establish an effective early warning system for landslide disasters, accurate landslide displacement prediction is the core. In this paper, a typical step-wise-characterized landslide (Caojiatuo landslide) in the Three Gorges Reservoir (TGR) area is selected, and a displacement prediction model of Extreme Learning Machine with Gray Wolf Optimization (GWO-ELM model) is proposed. By analyzing the monitoring data of landslide displacement, the time series of landslide displacement is decomposed into trend displacement and periodic displacement by using the moving average method. First, the trend displacement is fitted by the cubic polynomial with a robust weighted least square method. Then, combining with the internal evolution rule and the external influencing factors, it is concluded that the main external trigger factors of the periodic displacement are the changes of precipitation and water level in the reservoir area. Gray relational degree (GRG) analysis method is used to screen out the main influencing factors of landslide periodic displacement. With these factors as input items, the GWO-ELM model is used to predict the periodic displacement of the landslide. The outcomes are compared with the nonoptimized ELM model. The results show that, combined with the advantages of the GWO algorithm, such as few adjusting parameters and strong global search ability, the GWO-ELM model can effectively learn the change characteristics of data and has a better and relatively stable prediction accuracy.

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PENGARUH INFLASI DAN INVESTASI TERHADAP NILAI TUKAR RUPIAH

Signifikan Jurnal Ilmu Ekonomi ◽

10.15408/sjie.v2i1.2373 ◽

2016 ◽

Vol 2 (1) ◽

Author(s):

Istiqomah Istiqomah

Keyword(s):

Foreign Direct Investment ◽

Exchange Rate ◽

Central Bank ◽

Direct Investment ◽

Least Square Method ◽

Positive Influence ◽

Least Square ◽

Ordinary Least Square ◽

Us Dollar

Exchange rate is defined as a currency that can be exchange per unit to another currency, or the price of one currency to another currency. The purpose of this research is to know the effect of Inflation and investment to rupiah`s exchange rate in Indonesia. Variable which is used in this research is rupiah`s Exchange Rate to US dollar`s (ER), Inflation, Domestic Direct Investment (DDI), Foreign Direct Investment (FDI), and also Dummy crisis variable (DM) of Indonesia. The sources of the data are from Central Bank of Indonesia and Indonesia Statistical Base. OLS (Ordinary Least Square) method was used for analyzing in Eviews 5.1 program. The results of this research is to indicate inflation, foreign direct investment and dummy crisis that gave the positive influence to the rupiah`s exchange rate in Indonesia significantly. Meanwhile, domestic direct investment has not positive influence to the rupiah’s exchange rate in Indonesia significantlyDOI: 10.15408/sjie.v2i1.2373

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