scholarly journals PERSAINGAN SUBSEKTOR PETERNAKAN DENGAN SUBSEKTOR-SUBSEKTOR PERTANIAN LAINNYA DI PROVINSI MALUKU (ANALISIS INPUT-OUTPUT) THE COMPETITION OF THE ANIMAL HUSBANDRY SUBSECTOR WITH OTHERS AGRICULTURAL SUBSECTORS IN MALUKU PROVINCE (AN INPUT-OUTPUT ANALYSIS)

2017 ◽  
Vol 41 (3) ◽  
pp. 365
Author(s):  
Tienni Mariana Simanjorang ◽  
Any Suryantini ◽  
Jamhari Jamhari ◽  
Nafly Comilo Tiven

INTISARIPembangunan suatu daerah sering ditemui adanya suatu ketimpangan prioritas pembangunan. Ketimpangan ini disebabkan tidak tepatnya penentuan prioritas sektor ekonomi yang akan dikembangkan akibat adanya persaingan prioritas kebijakan dalam suatu wilayah/daerah. Persaingan subsektor dalam suatu daerah dapat dilihat dari kontribusi pendapatannya pada PDRB dan Net ekspor-impor serta pengukuran keunggulan sektor/subsektor tersebut. Penelitian ini bertujuan untuk mengetahui persaingan subsektor peternakan dengan sub sektor-subsektor pertanian lainnya di Provinsi Maluku. Metode yang digunakan dalam penelitian ini adalah Analisis Input-Output; data diperoleh dari Badan Pusat Statistik Provinsi Maluku Tahun 2013. Hasil Penelitian menunjukkan Persaingan subsektor peternakan di Provinsi Maluku belum mampu bersaing dengan subsektor pertanian lainnya; hal ini terlihat dari kontribusi pendapatannya pada PDRB Maluku dan nilai Net Ekspor-Impornya. Dampak penyebaran subsektor peternakan bila ditinjau dari derajat kepekaan dan derajat penyebaran; subsektor peternakan berada pada kuadran pertama, artinya nilai derajat kepekaan dan derajat penyebaran lebih dari satu. Hal ini menunjukkan bahwa subsektor peternakan merupakan subsektor unggulan di provinsi Maluku. Walaupun persaingan subsektor peternakan belum mampu bersaing sengan subsektor pertanian lainnya dilihat dari kontribusi pendapatan terhadap PDRB dan net ekspor-impor, namun subsektor peternakan merupakan subsektor potensial untuk dikembangkan di Provinsi Maluku.Kata kunci : (Input-Output, Persaingan, Pertanian, Subsektor Peternakan)    ABSTRAK            The development of a region often encountered the existence of an inequality of development priorities. This inequality caused not exactly determinated the economy priority sectors  which will be developed as a result of the priorities competition policy in a region or area.  The subsector competition in an area can be seen from  contributions in the GDP and net revenue exports-imports as well as measurement of excellence sectors / sub-sectors. This paper is aimed to determine the competition animal husbandry sector with the other agricultural subsectors in the province of Maluku. The method used in this research was the Input-Output Analysis; data obtained from the Central Statistics Agency Province of Maluku in 2013. Results showed the animal husbandry subsector competition in Maluku Province had not been able to competed with other agricultural subsectors; it can be seen from the revenued contribution in the GDP Province of Maluku and value Net revenue Export-Import. The impact of the distribution of the animal husbandry subsector when the reviewed of the degree of sensitivity and the degree of distribution; the animal husbandry subsector were in the first quadrant, that meaning the value of the degree of sensitivity and the degree of distribution were more than one. This showed that the animal husbandry subsector were a superior subsector in Province of Maluku. Although the animal husbandry subsector competition had not been able to compete with other agricultural subsector viewed on the contribution to the GDP and net revenue import-export, but the animal husbandry subsector was a potential sub-sectors to be developed in the Province of Maluku.Keyword : (Agriculture, Animal Husbandry Subsector, Competition, Input-Output)

2020 ◽  
Vol 19 (S1) ◽  
pp. s62-s87
Author(s):  
Joerg Beutel

AbstractFor a long time, the use of intermediate products in production has been growing more rapidly in most countries than domestic production. This is a strong indication of more interdependency in production. The main purpose of input-output analysis is to study the interdependency of industries in an economy. Often the term interindustry analysis is also used. Therefore, the exchange of intermediate products is a key issue of input-output analysis. We will use input–output data for this study that the author prepared for the new ‘Handbook on Supply, Use and Input–Output Tables with Extensions and Applications’ of the United Nations. The supply use and input–output tables contain separate valuation matrices for trade margins, transport margins, value added tax, other taxes on products and subsidies on products. For the study, two input–output models were developed to evaluate the impact of fuel subsidy and taxation reform on output, gross domestic product, inflation and trade. Six scenarios are discussed covering different aspects of the reform.


2012 ◽  
Vol 11 (1) ◽  
pp. 152-164
Author(s):  
Jan T. Mizgajski

Abstract This study analyses the embodied carbon in the trade flows between Poland and Germany. The calculations are based on data from Eurostat and OECD for 2008. The study uses input-output analysis, which allows the assignment of responsibility to individual flows for generating specific amounts of emissions in the economy. It demonstrates that Polish exports to Germany contain significantly more embodied carbon than do imports from Germany, despite the fact that the value of imports is higher. Moreover, it is found that Polish-German trade flows were responsible for more CO2 emissions that Lithuania and Latvia emitted together in 2008.


2019 ◽  
Vol 25 (12) ◽  
pp. 2432-2450 ◽  
Author(s):  
Antoine Beylot ◽  
Sara Corrado ◽  
Serenella Sala

Abstract Purpose Trade is increasingly considered a significant contributor to environmental impacts. The assessment of the impacts of trade is usually performed via environmentally extended input–output analysis (EEIOA). However, process-based life cycle assessment (LCA) applied to traded goods allows increasing the granularity of the analysis and may be essential to unveil specific impacts due to traded products. Methods This study assesses the environmental impacts of the European trade, considering two modelling approaches: respectively EEIOA, using EXIOBASE 3 as supporting database, and process-based LCA. The interpretation of the results is pivotal to improve the robustness of the assessment and the identification of hotspots. The hotspot identification focuses on temporal trends and on the contribution of products and substances to the overall impacts. The inventories of elementary flows associated with EU trade, for the period 2000–2010, have been characterized considering 14 impact categories according to the Environmental Footprint (EF2017) Life Cycle Impact Assessment method. Results and discussion The two modelling approaches converge in highlighting that in the period 2000–2010: (i) EU was a net importer of environmental impacts; (ii) impacts of EU trade and EU trade balance (impacts of imports minus impacts of exports) were increasing over time, regarding most impact categories under study; and (iii) similar manufactured products were the main contributors to the impacts of exports from EU, regarding most impact categories. However, some results are discrepant: (i) larger impacts are obtained from IO analysis than from process-based LCA, regarding most impact categories, (ii) a different set of most contributing products is identified by the two approaches in the case of imports, and (iii) large differences in the contributions of substances are observed regarding resource use, toxicity, and ecotoxicity indicators. Conclusions The interpretation step is crucial to unveil the main hotspots, encompassing a comparison of the differences between the two methodologies, the assumptions, the data coverage and sources, the completeness of inventory as basis for impact assessment. The main driver for the observed divergences is identified to be the differences in the impact intensities of goods, both induced by inherent properties of the IO and life cycle inventory databases and by some of this study’s modelling choices. The combination of IO analysis and process-based LCA in a hybrid framework, as performed in other studies but generally not at the macro-scale of the full trade of a country or region, appears a potential important perspective to refine such an assessment in the future.


2000 ◽  
Vol 26 (1) ◽  
pp. 17-30 ◽  
Author(s):  
L.C. Stilwell ◽  
R.C.A. Minnitt ◽  
T.D. Monson ◽  
G. Kuhn

Energy Policy ◽  
2013 ◽  
Vol 57 ◽  
pp. 263-275 ◽  
Author(s):  
M. Markaki ◽  
A. Belegri-Roboli ◽  
P. Michaelides ◽  
S. Mirasgedis ◽  
D.P. Lalas

2020 ◽  
Vol 12 (15) ◽  
pp. 6043
Author(s):  
Junhwan Moon ◽  
Eungyeong Yun ◽  
Jaebeom Lee

Preventing global warming caused by increased CO2 emissions is a major global problem. It is necessary to find and cultivate an efficient industry with a small amount of CO2 emissions and a great impact on the national economy. This article used input–output analysis to quantify the linkage effects on the Korean economy by dividing the Korean industries into 36 categories, according to the OECD (Organization for Economic Cooperation and Development) industrial classification criteria. In addition, the total amount of carbon dioxide emitted during the year was described by its criteria to compare how much of one industry emits carbon dioxide. The analysis shows that Korea still has an economic structure centered on traditional manufacturing and the characteristics of these industries include CO2 emissions. According to the result, in the construction industry, the carbon dioxide emissions are considerably high, but the linkage effects of the industry is small. By quantitatively analyzing the impact of an industry on the economy and carbon dioxide emissions generated in the production process, this study aimed to identify Korea’s eco-friendly and highly related industries with other industries and objectively present sustainable development.


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