scholarly journals Dampak Perubahan Harga Bahan Bakar Minyak Terhadap Kinerja Sektor Pertanian (Pendekatan Analisis Input-Ouput)

2016 ◽  
Vol 34 (1) ◽  
pp. 1
Author(s):  
Pantjar Simatupang ◽  
Supena Friyatno

<strong>English</strong><br />This study aims to estimate quantitative impacts of fuel price adjustment on prices of agribusiness inputs and outputs, inflation and household expenditures, farm profitability and farmers’ welfare as well as Gross Domestic Products form agriculture sector as the key parameters in designing policies related with fuel price adjustment to be conducted by the Government in the future. This study applies an Input-Output analysis (National Input-Output Table 2005). Micro agribusiness survey was also conducted to check validity of the macro secondary data. The Input-Output analysis shows if fuel price is raised by 100% then the agribusiness profitability will decrease by around 0.095–0.142% for food and horticulture farms, 0.052–0.141% for estate crops farms, 0.537-0.756% for livestock farms and 0.058–0.223% for post-harvest and processing business. Inflation elasticity is 0.044%. If the fuel price is raised by 1% then inflation will increase by 0.044%. Inflation rate can be seen as the increase in the household cost of living if there is no change in quantity of the consumption. Accordingly, if the fuel price is indeed must be increased to reduce the budget expense of the fuel subsidy and to improve energy use efficiency then it should be conducted gradually, say 10% per occasion, such that it would not have significant impacts on agricultural performance as well as farmers’ and rural people’s welfare. It is regrettable to see the historical experience that the government tends to postpone adjusting the fuel price, perhaps for political reason, but in the end has to rise fuel price sharply causing significant negative impacts on agricultural performances as well as farmers’ welfare.<br /><br /><strong>Indonesia</strong><br />Penelitian ini dilakukan untuk memperoleh dugaan dampak perubahan harga BBM terhadap harga sarana, prasarana, dan hasil usaha pertanian, serta kinerja sektor pertanian yang merupakan parameter kunci dalam perumusan kebijakan terkait dengan penyesuaian harga BBM yang kemungkinan besar masih akan harus dilakukan pemerintah. Metode yang digunakan untuk menjawab tujuan tersebut adalah analisis input-output (Tabel IO Nasional tahun 2005). Survei mikro usaha pertanian juga dilakukan sebagai validasi kelogisan hasil analisis IO. Analisis input-output menunjukkan bahwa apabila harga BBM ditingkatkan 100% maka profitabilitas usaha akan menurun sekitar 0,095–0,142% untuk usaha tanaman pangan dan hortikultura, sekitar 0,052–0,141% untuk usaha perkebunan, sekitar 0,537–0,756% untuk usaha peternakan, dan sekitar 0,058–0,223% untuk usaha pascapanen dan pengolahan hasil pertanian. Elastisitas inflasi terhadap harga BBM adalah 0,044%. Apabila harga BBM ditingkatkan 1%, inflasi akan meningkat 0,044%. Inflasi dapat pula dipandang sebagai peningkatan biaya hidup atau pengeluaran konsumsi penduduk bila tidak ada perubahan kuantitas konsumsi. Oleh karena itu, kalau memang harus dilakukan guna mengurangi beban anggaran subsidi dan mendorong efisiensi penggunaan energi, kebijakan penyesuaian harga BBM sebaiknya dilakukan secara bertahap, misalnya 10% tiap kali peningkatan, sehingga dampaknya tidak berpengaruh nyata terhadap kinerja sektor pertanian maupun terhadap kesejahteraan petani dan penduduk perdesaan secara umum. Namun, pengalaman dari masa lalu menunjukkan bahwa pemerintah cenderung menunda-nunda kenaikan harga BBM, barangkali karena alasan politik, sehingga terpaksa melakukan kenaikan harga BBM secara tajam dan dampaknya terhadap kinerja usaha pertanian dan kesejahteraan petani pun akan besar.

2010 ◽  
Vol 3 (3) ◽  
pp. 111 ◽  
Author(s):  
Hussain Ali Bekhet ◽  
Azlina Abdullah

Many sectors rely on energy as input to produce output. Even though the use of energy in agriculture sector is not as high as in other sectors, it is important to study the connectedness between the two sectors as there is no study done so far to show the linkages between them in Malaysia. Input-output analysis has been used to study the connectedness degree between the two sectors using input-output data for 1991-2000. The direct and total backward linkages analyses have shown that there is a significant increase in the use of energy in agriculture sector for the 1991-2000 period but the connectedness is still weak. Among the three energy-related sectors namely; crude oil, natural gas & coal, petrol & coal industries and electricity & gas, it was found that the agriculture sector depends more on inputs from petrol & coal industries as compared to the other two sectors. Based on these results, some policy implications have been proposed to help the decision-makers in economic planning especially on implementing policies related to energy and agriculture sectors.


2005 ◽  
Vol 46 (9-10) ◽  
pp. 1513-1521 ◽  
Author(s):  
Osman Karkacier ◽  
Z. Gokalp Goktolga

1983 ◽  
Vol 12 (1) ◽  
pp. 83-90
Author(s):  
Sharon M. Brucker ◽  
Steven E. Hastings

Input-output analysis has been used extensively to identify the interrelationships in local, state, regional and national economies. One type of economic activity that is prevalent in several states in the Northeast has not typically been included in regional input-output models: that carried on at administrative offices and auxiliary establishments.This paper appraises the need for a sector representing administration and auxiliary activities in regional I-O models in the Northeast and provides a method for estimating a direct requirements column for such a sector from secondary data. The method proposed is used to estimate the direct requirements column for this sector in an input-output model for Delaware. The importance of including administration and auxiliary activities in an input-output model used for impact analysis is demonstrated.


2009 ◽  
Vol 20 (6) ◽  
pp. 875-899 ◽  
Author(s):  
Whan-Sam Chung ◽  
Susumu Tohno

From an average annual growth rate point of view, it might be concluded that the government's efforts in reducing Korea's GHG emission have been making progress; the growth rate of South Korea's GHG emission (4.8%) was less than that of its primary energy consumption (6.2%) during 1990–2000. To cope with a more strict protocol worldwide, South Korea should avoid the usual political rhetoric or declaration of principles and it should launch an effective action. Such a transition from a policy perspective would begin by the analysis of the interrelations among economic activities, energy use, and GHG emissions. The application of an input-output approach, which incorporates a material flow analysis, could be a very useful tool for such an analysis. In this study, four sequential 96 × 96 hybrid units energy IO tables from 1985 to 2000 were generated. Using these four sequential matrices, the energy intensities and the GHG emission intensities, caused by energy use, were estimated for each sector. It was revealed that even though the energy consumption and GHG emissions have increased, the intensities have gradually improved in Korea. The estimated values were compared to national statistics and the differences were found to be acceptable. It was found that the energy input-output analysis can supply useful data for energy and environment policy makers. Some recommendations were made to improve this model.


1987 ◽  
Vol 19 (10) ◽  
pp. 1387-1398 ◽  
Author(s):  
J M Gowdy ◽  
J L Miller

In this study input–output tables for the US economy are used to examine the changing pattern of energy use from 1963 to 1977. A method is developed for isolating some of the reasons behind the observed changes. We examine the impact of four types of technological change and two types of demand change on energy use. Two types of technological change that are of particular importance in the time period considered are changes in energy mix and changes due to substitution among nonenergy inputs.


Author(s):  
Ropingi Ropingi ◽  
Dany Artanto

Contribute of Agriculture sector in Central Java for developing economy is needed, because this sector can absorb employment higher than others.This study aimed at describing the share of agriculture sector in Central Java, especially for economic development with Input Output Analysis Approach. By assessing data from BPS (example PDRB data per sector with multiyear publications, Central Java in Figures), this study found that agricultural sector has highest forward linkages and backward linkages were animal sector which value of forward linkages was 1,1953 and backward linkages was 1.1889. Besides that animal sector (Sektor Peternakan dan hasil-hasilnya) has highest sensitivity Indeks and dispersion indeks. Agriculture sector that need input smallest for producing process or RIA smallest was Umbi-umbian Sector (RIA - 0.0286). Agriculture Sector that highest output demand for producing process or value of RPA highest was Rice Sector (Sektor Padi) with RPA Value = 0.7713.


Author(s):  
Đức Thị Việt Đặng

This article uses Input-output (IO) analysis to evaluate the impact of ICT on the Vietnamese economy. Two IO tables are used, including tables of 2007 and 2012. The results show that ICT sectors were small in Vietnamese economy and the spending on ICT products and services of an average sector of the economy was generally low. Regarding the impact on output of other sectors, the research results reveal that the ICT sectors' backward linkages were stronger than the forward linkages, i.e. the ICT generated more impact on sectors which provided it input rather than on sectors that used its products and services. The total output multiplying effect of the ICT was rather high; ICT was among the most influential sectors in Vietnamese economy. Among ICT sectors, the ICT manufacturing was the most pervasive which is followed by the ICT services and ICT media and content. The study implies that if Vietnam seeks to enhance the economy, the government needs to implement specific policies that facilitate ICT industry and ICT usage.


2018 ◽  
Vol 56 (2) ◽  
pp. 225-238 ◽  
Author(s):  
Luiz Carlos de Santana Ribeiro ◽  
Eder Johnson de Area Leão ◽  
Lúcio Flávio da Silva Freitas

Abstract: In the last three decades, the developing countries have sharply increased its contribution to global warming. From 2005 to 2012, Brazil has reduced its total emissions in 12% due to deforestation control. In the same period, the total GHG emissions excluding land-use change and forestry have increased 18% (WRI, 2014), while per capita GPD has raised 17%. The Brazilian climate policy must go beyond the deforestation control to avoid an unsustainable pattern of development. Since the mitigation effort bears heavily on primary activities, one must ask: how important are those sectors for Brazilian economy? And how their emissions are connected to other sectors along the productive chain? Specifically, this paper aims to calculate the GHG emissions multipliers of the Brazilian economy in 2009 and associate these results with the employment and income multipliers, particularly of the Agriculture sector. The ‘field of influence’ method (SONIS and HEWINGS, 1992) is applied to calculate the intersectorial relations in terms of input linkages and GHG emissions.


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