scholarly journals PERKEMBANGAN EKSPOR KARET ALAM INDONESIA

2019 ◽  
Vol 34 (2) ◽  
pp. 1-8
Author(s):  
Hajry Arief Wahyudy ◽  
Khairizal Khairizal ◽  
Heriyanto Heriyanto
Keyword(s):  
Time Series ◽  
International Trade ◽  
Commodity Trade ◽  
United Nation

Tujuan penelitian ini adalah untuk mengetahui perkembangan ekspor karet alam Indonesia. Data yang digunakan adalah data Time Series dari tahun 1996-2016 yang diperoleh dari berbagai sumber seperti International Trade Statistic, FAO, United Nation Commodity Trade Statistic dan BPS. Data penelitian dianalisis menggunakan analisis deskriptif. Hasil penelitian menunjukkan bahwa perkembangan volume ekspor karet alam Indonesia semakin meningkat, meskipun berfluktuasi namun tetap tumbuh positif sebesar 3.34 persen. Peningkatan ini berdampak terhadap peningkatan nilai ekspornya, bahkan peningkatannya lebih besar dibandingkan peningkatan volume. Selama 21 tahun terakhir nilai ekspor karet alam Indonesia tumbuh sebesar 9.95 persen.

scholarly journals DAYA SAING EKSPOR PRODUK PERIKANAN INDONESIA DI LINGKUP ASEAN DAN ASEAN-CHINA

2017 ◽  
Vol 6 (1) ◽  
pp. 51
Author(s):  
Subhechanis Saptanto
Keyword(s):  
Time Series ◽  
International Trade ◽  
Comparative Advantage ◽  
Aquatic Invertebrates ◽  
Secondary Data ◽  
Revealed Comparative Advantage ◽  
United Nation

Keunggulan komparatif dapat digunakan sebagai indikator besarnya daya saing suatu negara dalam perdagangan internasional. Penelitian ini bertujuan untuk menganalisis daya saing ekspor perikanan Indonesia di tingkat ASEAN dan ASEAN-China. Kajian ini menggunakan data sekunder time series yang dikeluarkan oleh United Nation Comtrade dari tahun2000 hingga 2008. Metode analisis yang digunakan adalah dengan metode Revealed Comparative Advantage (RCA). Hasil penelitian menunjukkan bahwadi tingkat ASEAN maupun ASEAN-China, produk perikanan Indonesia yang memiliki daya saing adalah produk dengan kode HS 03 (ikan, udang-udangan, hewan lunak, invertebrata perairan), HS 710110 (mutiara dari alam yang belum diolah), HS 710121 (mutiara budidaya yang belum diolah), dan HS 121220 (rumput laut dan alga lainnya). Hal ini menunjukkan bahwa Indonesia masih lemah dalam hal ekspor produk yang memiliki nilai tambah. Tittle: Comparative Advantage of Indonesian Fisheries Product in ASEAN and ASEAN-China.Comparative advantage can used as indicator of trade level in international trade. This study aim to analyze comparative advantageof Indonesian fisheries product in both of ASEAN and ASEAN-China. This study used secondary data of UN Comtrade from 2000 until 2008 and revealed comparative advantage (RCA) method. Results of this study show that in both of ASEAN and ASEAN-China, for HS 03 (Fish, crustaceans, molluscs, aquatic invertebrates), HS 710110 (Pearls natural, not permanently mounted or set), HS 710121 (pearls cultured unprocessed), and HS 121220 (seaweeds and other algae), Indonesia still vave comparative advantage in fisheries product. This results indicate that Indonesia considers a weak position in the valued added export of the fisheries product.

scholarly journals Perkembangan Ekspor Karet Alam Indonesia

2020 ◽  
Vol 34 (2) ◽  
Author(s):  
Hajry Arief Wahyudy ◽  
Khairizal ◽  
Heriyanto
Keyword(s):  
Time Series ◽  
Natural Rubber ◽  
Time Series Data ◽  
Descriptive Analysis ◽  
Research Data ◽  
Series Data ◽  
Commodity Trade ◽  
The Past ◽  
Export Volume ◽  
United Nation

ABSTRACT The purpose of this study was to determine the development of Indonesia's natural rubber exports. The data used are Time Series data from 1996-2016 obtained from various sources such as International Trade Statistics, FAO, United Nation Commodity Trade Statistics and BPS. The research data were analyzed using descriptive analysis. The results showed that the development of Indonesia's natural rubber export volume was increasing, although it fluctuated but still grew positively by 3.34 percent. This increase has an impact on increasing the value of its exports, even the increase is greater than the increase in volume. Over the past 21 years the value of Indonesia's natural rubber exports grew by 9.95 percent. Keywords: Development, Natural Rubber, Exports.

scholarly journals Are some taxes better for growth in Pakistan? A time series analysis

2018 ◽  
Vol 45 (10) ◽  
pp. 1439-1452 ◽  
Author(s):  
Kashif Munir ◽  
Maryam Sultan
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
International Trade ◽  
Sales Tax ◽  
Tax Base ◽  
Content Type ◽  
Long Run ◽  
Indirect Taxes ◽  
Short Run ◽  
The Impact

Purpose The purpose of this paper is to analyze the impact of taxes on economic growth in the long run as well as in the short run. Design/methodology/approach The study uses simple time series model, where real GDP is dependent variable and different forms of taxes are explanatory variables under ARDL framework from 1976 to 2014 at annual frequency for Pakistan. Findings Direct taxes have positive relation with economic growth in the long run. Sales tax, tax on international trade (tariffs) and other indirect taxes have positive impact on economic growth of Pakistan in the long run as well as in the short run. However, sales tax and other indirect taxes impact negatively on economic growth in the short run after one year because people realize decline in their real income. Practical implications Government should increase direct taxes by increasing tax base. Indirect taxes usually indicate negative impact after one and two years; therefore, government should decrease its reliance on indirect taxes. Government should promote tax awareness among the people which increase the tax morale of people and increase the tax base. Originality/value Taxes are disaggregated into direct and indirect taxes, while indirect taxes have been further disaggregated into excise duty, sales tax, surcharges, tax on international trade and other indirect taxes. This study provides useful insight for policy makers in designing taxes and their effect on growth.

scholarly journals Transportation Costs and International Trade in the Second Era of Globalization

2007 ◽  
Vol 21 (3) ◽  
pp. 131-154 ◽  
Author(s):  
David Hummels
Keyword(s):  
Time Series ◽  
International Trade ◽  
Significant Rise ◽  
Transportation Costs ◽  
Transport Costs ◽  
Ocean Shipping ◽  
Technological Advances ◽  
Shipping Costs ◽  
Order Of Magnitude ◽  
Trade Growth

While the precise causes of postwar trade growth are not well understood, declines in transport costs top the lists of usual suspects. However, there is remarkably little systematic evidence documenting the decline. This paper brings to bear an eclectic mix of data in order to provide a detailed accounting of the time-series pattern of shipping costs. The ad-valorem impact of ocean shipping costs is not much lower today than in the 1950s, with technological advances largely trumped by adverse cost shocks. In contrast, air shipping costs have dropped an order of magnitude, and airborne trade has grown rapidly as a result. As a result, international trade has also experienced a significant rise in speed.

scholarly journals Reducing Exchange Rate Risks in International Trade: A Hybrid Forecasting Approach of CEEMDAN and Multilayer LSTM

2020 ◽  
Vol 12 (6) ◽  
pp. 2451 ◽  
Author(s):  
Hualing Lin ◽  
Qiubi Sun ◽  
Sheng-Qun Chen
Keyword(s):  
Time Series ◽  
International Trade ◽  
Exchange Rate ◽  
Empirical Mode Decomposition ◽  
Foreign Currency ◽  
Short Term Memory ◽  
Objective Evaluation ◽  
Ensemble Empirical Mode Decomposition ◽  
Mode Decomposition ◽  
Mixing Problem

In international trade, it is common practice for multinational companies to use financial market instruments, such as financial derivatives and foreign currency debt, to hedge exchange rate risks. Making accurate predictions and decisions on the direction and magnitude of exchange rate movements is a more direct way to reduce exchange rate risks. However, the traditional time series model has many limitations in forecasting exchange rate, which is nonlinear and nonstationary. In this paper, we propose a new hybrid model of complete ensemble empirical mode decomposition (CEEMDAN) based multilayer long short-term memory (MLSTM) networks. It overcomes the shortcomings of the classic methods. CEEMDAN not only solves the mode mixing problem of empirical mode decomposition (EMD), but also solves the residue noise problem which is included in the reconstructed data of ensemble empirical mode decomposition (EEMD) with less computation cost. MLSTM can learning more complex dependences from exchange rate data than the classic model of time series. A lot of experiments have been conducted to measure the performance of the proposed approach among the exchange rates of British pound, the Australian dollar, and the US dollar. In order to get an objective evaluation, we compared the proposed method with several standard approaches or other hybrid models. The experimental results show that the CEEMDAN-based MLSTM (CEEMDAN–MLSTM) goes on better than some state-of-the-art models in terms of several evaluations.

Blockchain Technology and Facilitation of International Trade: An Empirical Analysis

2020 ◽  
pp. 231971452096829
Author(s):  
Md. Nur Alam Siddik ◽  
Sajal Kabiraj ◽  
Md. Emran Hosen ◽  
Md. Firoze Miah
Keyword(s):  
Time Series ◽  
International Trade ◽  
Generalized Linear Model ◽  
Trade Costs ◽  
Cointegration Test ◽  
Positive Effects ◽  
Blockchain Technology ◽  
Research Findings ◽  
Process Studies ◽  
Research Gap

Blockchain technology, a distributed and decentralized ledger, has gained significant prominence in the sphere of information technology for introducing new innovations in international trade. It ensures safety and can reduce trade costs by removing the middleman from the trade process. Studies examining the effects of blockchain on international trade are scarce. This research aims to fill this research gap. By using time series world data for the period 2009–2018, this study empirically examines the link between blockchain and international trade. It uses a cointegration test and a generalized linear model (GLM) test to analyse the data. The robust findings of this research reveal that blockchain has positive effects on international trade. The findings further displays that blockchain accelerates and facilitates international trade and that there exists a unidirectional causality from blockchain to international trade. The research findings are of great significance for policymakers in developing policies to foster the use of blockchain applications as a facilitator of international trade.

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