scholarly journals Identifikasi Faktor Kenaikan Harga Komoditas Pasar Melalui Agregasi Berita Online (Studi Kasus: Jawa Timur)

2020 ◽  
Vol 11 (1) ◽  
pp. 159-173
Author(s):  
Rengga Asmara ◽  
Ferry Astika Saputra ◽  
Muhammad Rizal Fauzy
Keyword(s):  
Information Retrieval ◽  
Monitoring System ◽  
Market Price ◽  
Commodity Prices ◽  
Commodity Price ◽  
Online News ◽  
Market Prices ◽  
Price Increases ◽  
Information Retreival

Abstrak Penelitian ini bertujuan untuk membuat sistem monitoring harga komoditas yang mampu mengidentifikasi permasalahan penyebab kenaikan harga komoditas melalui agregasi berita online. Sistem ini memiliki keluaran utama, yaitu monitoring fluktuasi harga pasar dan identifikasi penyebab kasus kenaikan harga komoditas menggunakan data harga komoditas harian yang dikumpulkan dari seluruh pasar induk di Jawa Timur pada Desember 2018 - Mei 2019 yang disediakan oleh SISKAPERBAPO. Untuk mendapatkan hasil identifikasi, sistem melakukan beberapa tahap. Pertama, sistem melakukan labelling terhadap harga pasar yang mengalami kenaikan tidak normal. Selanjutnya, sistem mencari berita terkait kenaikan harga tersebut dan melakukan information retrieval berdasarkan klasifikasi teks terhadap 5W1H pada label why. Hasil dari penelitian ini yaitu, eksperimen pada identifikasi faktor kenaikan harga komoditas menunjukkan bahwa sebesar 1.91% berita memiliki kesesuaian berdasarkan tanggal berita, akurasi berdasarkan relevansi berita dan kasus sebesar 70.49%, dan ekstraksi informasi untuk identifikasi faktor menghasilkan sebesar 39.87% berita relevan menunjukkan hasil identifikasi faktor kenaikan harga komoditas.    Kata kunci: Monitoring System, Tim Pengendalian Inflasi Daerah (TPID), Information Retreival, Klasifikasi 5W1H   Abstract  This research aims to create a commodity price monitoring system that is able to identify the problems causing the increase in commodity prices through online news aggregation.. This system has main outputs, namely monitoring market price fluctuations and identifying causes of cases of rising commodity prices from online news aggregations, which used daily commodity price data collected from all wholesale markets in East Java in December 2018 - May 2019 provided by SISKAPERBAPO. To get the results of identification, the system performs several stages of processing. First, the system of labeling market prices has increased. Furthermore, the system looks for news related to the price increases and conducts information retrieval based on the classification of text against 5W1H on the label why. The results of this research, namely, the experiment on identifying commodity price increase factors shows that 1.91% of news has conformity based on news date, accuracy based on news and case relevance of 70.49%, and information extraction to identify generating factors of 39.87% relevant news shows results identification of factors in rising prices.  Keywords: Monitoring System, Tim Pengendalian Inflasi Daerah (TPID), Information Retreival, 5W1H Classification

scholarly journals Carbon versus Timber Economy in Mediterranean Forests

Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 746
Author(s):  
Álvaro Enríquez-de-Salamanca
Keyword(s):  
Carbon Sequestration ◽  
Market Price ◽  
Timber Harvesting ◽  
Environmental Services ◽  
Timber Production ◽  
Mediterranean Forests ◽  
Market Prices ◽  
Climate Conditions ◽  
Goods And Services ◽  
Price Increases

Forests produce goods and services, but the forest economy is based on goods, with market price, more than on services. Under Mediterranean climate conditions forests have low timber production, being frequently financially loss-making, despite the environmental services provided, such as carbon sequestration. Timber production and carbon sequestration are compatible, and a proper valuation of both can allow for a more balanced management. The aim of this paper is to assess financially a scenario based on maximizing carbon sequestration versus another based on maximizing timber harvesting in a Mediterranean forest. To do that, timber stock, growth and harvesting, and carbon sequestration have been calculated. Applying market prices for timber and CO2 both scenarios have been assessed, carrying out a sensitivity analysis. Maximising carbon sequestration was more profitable in the vast majority of combinations; timber harvesting was only more profitable if CO2 prices fell below 30% and timber price increases more than 20%; timber price rise is possible, but a collapse in CO2 price is not probable. The real barrier is that while timber is as a commodity with market price, carbon sequestration is not. The challenge for the future is to pay for carbon sequestration, mobilising resources from polluting sectors to forests.

scholarly journals Food and Energy Price Shocks: What Other Prices Are Affected?

2011 ◽  
pp. 1-6
Author(s):  
Todd E. Clark ◽  
Saeed Zaman
Keyword(s):  
Commodity Prices ◽  
Commodity Price ◽  
Energy Price ◽  
Price Shocks ◽  
Price Increases ◽  
Consumer Prices ◽  
Commodity Price Shocks

Sharp rises in energy and other commodity prices have recently ignited concerns about inflation. Will these price increases spill over to other prices more generally? We study the typical responses of different price shocks and assess whether the recent behavior of producer and consumer prices is consistent with historical norms. Our analysis shows that the behavior of various producer and consumer prices since late 2009 has generally matched up with historical patterns. Overall, our findings suggest that effects of the recent energy and commodity price shocks on core consumer prices will be modest going forward.

scholarly journals Fruit and Vegetable Prices and Perceptions in Mercalaspalmas Wholesale Market

Innovar ◽  
2015 ◽  
Vol 25 (55) ◽  
pp. 145-155 ◽  
Author(s):  
Santiago Rodriguez-Feijoo ◽  
Alejandro Rodriguez-Caro ◽  
Carlos Gonzalez-Correa
Keyword(s):  
Market Price ◽  
Similar Degree ◽  
Price Behavior ◽  
Fruit And Vegetable ◽  
Wholesale Market ◽  
Market Prices ◽  
Price Increases ◽  
Daily Data ◽  
Perceived Price ◽  
Significant Factors

This paper studies the behavior of fruit and vegetable prices in a wholesale market. Its aims are: a) to examine price behavior and changes; and b) to identify statistically significant factors in the perception of prices and to quantify the effect of these factors on the market price. For this purpose, daily data were obtained on modal prices at the Mercalaspalmas wholesale market from 2006 until mid-2010. The results obtained show there is a similar degree of flexibility in price increases and decreases, and show the product to be the determinant element in setting prices. There was found to be a strong degree of price permanence, in the sense that changes take place slowly and following a lag. The following significant factors were identified in the perception of prices: the length of time a price has remained unchanged in the market; the period during which a product has been absent from the market; the quantities traded at a given price; and the index of market prices. However, the quantitative effect of this body of factors on the perceived price is very limited.

Prediction of Future Market Price for Agricultural Commodities

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Sagar Pathane ◽  
Uttam Patil ◽  
Nandini Sidnal
Keyword(s):  
Mobile Application ◽  
Market Price ◽  
Commodity Prices ◽  
Future Price ◽  
Future Market ◽  
Graphical Interface ◽  
Agricultural Commodities ◽  
Agricultural Commodity ◽  
Web Based ◽  
Agriculture Products

The agricultural commodity prices have a volatile nature which may increase or decrease inconsistently causing an adverse effect on the economy. The work carried out here for predicting prices of agricultural commodities is useful for the farmers because of which they can sow appropriate crop depending on its future price. Agriculture products have seasonal rates, these rates are spread over the entire year. If these rates are known/alerted to the farmers in advance, then it will be promising on ROI (Return on Investments). It requires that the rates of the agricultural products updated into the dataset of each state and each crop, in this application five crops are considered. The predictions are done based on neural networks Neuroph framework in java platform and also the previous years data. The results are produced on mobile application using android. Web based interface is also provided for displaying processed commodity rates in graphical interface. Agricultural experts can follow these graphs and predict market rates which can be informed to the farmers. The results will be provided based on the location of the users of this application.

scholarly journals Do Commodity Price Shocks Cause Armed Conflict? A Meta-Analysis of Natural Experiments

2021 ◽  
pp. 1-8
Author(s):  
GRAEME BLAIR ◽  
DARIN CHRISTENSEN ◽  
AARON RUDKIN
Keyword(s):  
Causal Effect ◽  
Meta Analysis ◽  
Resource Curse ◽  
Civil Conflict ◽  
Commodity Price ◽  
Future Research ◽  
Natural Experiments ◽  
Price Changes ◽  
Price Increases ◽  
Commodity Price Shocks

Scholars of the resource curse argue that reliance on primary commodities destabilizes governments: price fluctuations generate windfalls or periods of austerity that provoke or intensify civil conflict. Over 350 quantitative studies test this claim, but prominent results point in different directions, making it difficult to discern which results reliably hold across contexts. We conduct a meta-analysis of 46 natural experiments that use difference-in-difference designs to estimate the causal effect of commodity price changes on armed civil conflict. We show that commodity price changes, on average, do not change the likelihood of conflict. However, there are cross-cutting effects by commodity type. In line with theory, we find price increases for labor-intensive agricultural commodities reduce conflict, while increases in the price of oil, a capital-intensive commodity, provoke conflict. We also find that price increases for lootable artisanal minerals provoke conflict. Our meta-analysis consolidates existing evidence, but also highlights opportunities for future research.

scholarly journals Commodity price pass-through along the pricing chain

2021 ◽  
Author(s):  
Rebeca Jiménez-Rodríguez ◽  
Amalia Morales-Zumaquero
Keyword(s):  
Emerging Economies ◽  
Raw Materials ◽  
Commodity Prices ◽  
Commodity Price ◽  
Emerging Countries ◽  
Consumer Prices ◽  
Advanced Economies ◽  
The World ◽  
Producer Prices ◽  
Pass Through

AbstractThis paper analyses the commodity price pass-through along the pricing chain for the global commodity price index and the indices of its main categories (i.e., agricultural raw materials, food and beverages, energy and metals) in the world, advanced and emerging economies. To do so, the study considers country-by-country vector autoregression models and pool the results by taking weighted means for 18 advanced economies and 19 emerging countries, as well as for the world (defined as the sum of advanced and emerging economies). The results show the following: (i) there is evidence in favour of partial pass-through from commodity prices to producer prices, although the evidence for the pass-through to consumer prices is less evident; (ii) the pass-through in the world seems to be led by both advanced and emerging countries for producer prices and only by advanced economies for consumer prices; (iii) higher prices in the four categories (agricultural raw materials only in the short-run) induce significant higher producer prices in almost all cases, with shocks in the prices of energy and metals showing the largest effects; and (iv) energy prices explain the highest variability of producer and consumer prices.

scholarly journals Modelling Global Nickel Mining, Supply, Recycling, Stocks-in-Use and Price Under Different Resources and Demand Assumptions for 1850–2200

2021 ◽  
Author(s):  
Anna Hulda Olafsdottir ◽  
Harald Ulrik Sverdrup
Keyword(s):  
Market Prices ◽  
Nickel Extraction ◽  
Price Increases ◽  
Nickel Mining ◽  
Ore Grades ◽  
Recoverable Resources ◽  
Business As Usual ◽  
Ore Grade

AbstractThe long-term supply of nickel to society was assessed with the WORLD7 model for the global nickel cycle, using new estimates of nickel reserves and resources, indicating that the best estimate of the ultimately recoverable resources for nickel is in the range of 650–720 million ton. This is significantly larger than earlier estimates. The extractable amounts were stratified by extraction cost and ore grade in the model, making them extractable only after price increases and cost reductions. The model simulated extraction, supply, ore grades, and market prices. The assessment predicts future scarcity and supply problems after 2100 for nickel. The model reconstructs observed extraction, supply and market prices for the period 1850–2020, and is used to simulate development for the period 2020–2200. The quality of nickel ore has decreased significantly from 1850 to 2020 and will continue to do so in the future according to the simulated predictions from the WORLD7 model. For nickel, extraction rates are suggested to reach their maximum value in 2050, and that most primary nickel resources will have been exhausted by 2130. After 2100, the supply per capita for nickel will decline towards exhaustion if business-as-usual is continuing. This will be manifested as reduced supply and increased prices. The peak year can be delayed by a maximum of 100 years if recycling rates are improved significantly and long before scarcity is visible.

scholarly journals Can the application of certain music information retrieval methods contribute to the machine learning classification of electrocardiographic signals?

Heliyon ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. e06257
Author(s):  
Ennio Idrobo-Ávila ◽  
Humberto Loaiza-Correa ◽  
Rubiel Vargas-Cañas ◽  
Flavio Muñoz-Bolaños ◽  
Leon van Noorden
Keyword(s):  
Machine Learning ◽  
Information Retrieval ◽  
Music Information Retrieval ◽  
Machine Learning Classification ◽  
Information Retrieval Methods ◽  
Music Information

scholarly journals A Reappraisal of the Prebisch-Singer Hypothesis Using Wavelets Analysis

2021 ◽  
Vol 14 (7) ◽  
pp. 319
Author(s):  
Hany Fahmy
Keyword(s):  
International Trade ◽  
Structural Breaks ◽  
Developing Economies ◽  
Commodity Prices ◽  
Commodity Price ◽  
Data Set ◽  
Price Series ◽  
Long Run ◽  
Starting Point ◽  
The Impact

The Prebisch-Singer (PS) hypothesis, which postulates the presence of a downward secular trend in the price of primary commodities relative to manufacturers, remains at the core of a continuing debate among international trade economists. The reason is that the results of testing the PS hypothesis depend on the starting point of the technical analysis, i.e., stationarity, nonlinearity, and the existence of structural breaks. The objective of this paper is to appraise the PS hypothesis in the short- and long-run by employing a novel multiresolution wavelets decomposition to a unique data set of commodity prices. The paper also seeks to assess the impact of the terms of trade (also known as Incoterms) on the test results. The analysis reveals that the PS hypothesis is not supported in the long run for the aggregate commodity price index and for most of the individual commodity price series forming it. Furthermore, in addition to the starting point of the analysis, the results show that the PS test depends on the term of trade classification of commodity prices. These findings are of particular significance to international trade regulators and policymakers of developing economies that depend mainly on primary commodities in their exports.

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