scholarly journals Energy Use in Agriculture Sector: Input-Output Analysis

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.

2020 ◽  
Vol 20 (2) ◽  
pp. 232-245
Author(s):  
Muchdie Muchdie ◽  
Muhammad Handry Imansyah

Results of analysis on inter-sector and inter-country linkages in Indonesian economy using world input-output data for the years 2000, 2005, 2010, and 2014 are provided in this paper. The model was aggregated into 30 sectors and 8 countries. Inter-sector linkages are analyzed using forward and backward effect indices, and then sectors were grouped into 4 groups. Meanwhile inter-county linkage is analyzed is spill-over and feed-back effects. The results showed that firstly, number of sectors include in Group-1, namely key sectors with strong forward and backward linkages: two sectors in year 2000, one sector in year 2005, 8 sectors in year 2010 and 2014. Secondly, spill-over effects were significantly importance in Indonesia economy, as around 20 per cent of multipliers occurred in other countries: 19.74 per cent in year 2000; 20.25per cent in year 2005; 18.19 per cent in year 2010 and20.64 per cent in year 2014. Only small feed-back effects are in Indonesian economy; in average 0.12 per cent in year 2000; 0.14 per cent in year 2005; 0.15 per cent in year 2010 and 0.15 per cent in year 2014. Finally, ignoring inter-country feed-back could be misleading as error created was significant.


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.


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.


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

2014 ◽  
Vol 2 (1) ◽  
pp. 37-57 ◽  
Author(s):  
Emese Balla

Abstract The aim of this paper is to analyse sectoral interdependencies and to identify the key sectors in the Romanian, Hungarian and Slovak economy, drawing a comparison between these three countries. In order to do these investigations, input-output analysis is applied, as it is based on a model which presents interactions between sectors of the economy. This method can also be used for determining the role of each sector in the national economy regarding its contribution to the total output, incomes, exportimport and so on, and for quantifying direct and indirect impact on the whole economy caused by any change produced in a sector’s activity. As the results of the analyses show, several similarities and differences appear in the economic structure, the sectoral interdependencies and the key sectors of the analysed countries. For example, in Romania, intersectoral transactions are axing mainly on the Trade and Manufacturing sectors, while in Hungary and Slovakia on the Manufacturing and Other professional, scientific and technical services sectors. Key sectors - identified by applying output and income backward linkages - also differ as in Romania the output backward linkage is the largest in the case of the Trade sector, in Hungary, in the Food sector and in Slovakia in the Electricity, gas, water and waste management sector. In the case of the income linkages, Social, collective and personal services rank in the first place in all three countries


Water ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 2351
Author(s):  
Xuefeng Li ◽  
Xiuli Liu

Wastewater propagation chains (WPCs) measure inter-sector average propagation lengths (APL) of wastewater discharge. To achieve sustainable wastewater management, one needs to understand the propagation mechanisms by identifying WPCs at a national level over time. However, the traditional model of identifying WPCs is prone to retaining APLs with lower values but larger wastewater discharge intensities, ignoring many linkages whereby intensities are less than a preset threshold. Nevertheless, these overlooked linkages are valuable in understanding wastewater propagation mechanisms. This study proposed a new model coupled input-output analysis with the graphical theory, called the average propagation lengths-hub covariance graph (APL-HCG). This model can investigate WPCs where the closeness of sector linkages exceeds the preset thresholds. Furthermore, it is capable of retaining linkages for identifying hub wastewater propagation chains (HWPCs). Based on APL-HCG, the resultant HWPCs are decomposed as separated sub-chains which are basically composed of linkages among certain significant sectors belonging to the secondary industry or the tertiary industry. Scenario analyses show that HWPCs are effective in reducing wastewater discharge in the national economic system. The total wastewater discharge would decrease by 1.36%, 2.53%, 2.46%, and 2.11% if we reduced 10% of the final demand of all sectors in HWPCs in 2002, 2007, 2012, and 2017. The APL-HCG model outperforms the traditional model on WPCs by 0.14%, 1.61%, 0.47%, and 0.10%, respectively. The APL-HCG model is 0.21%, 0.68%, 0.70%, and 0.35% better than the scenario of random sampling with the number of sectors equal to HWPCs, respectively. Certain policy implications were provided to reduce wastewater effectively at the national level.


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)


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.


2021 ◽  
Vol 13 (6) ◽  
pp. 3477
Author(s):  
Jungseok Choi ◽  
Woohyoung Kim ◽  
Seokkyu Choi

This study contributes by analyzing the economic effects of China’s distribution industry based on China’s 2012 and 2017 input-output data. It analyzes changes in the forward and backward linkage effect over a five-year period in accordance with the Chinese government’s distribution industry policy. The coefficients of the effects of the Chinese distribution industry, using Input-Output Tables and a comparative analysis of the sensitivity of dispersion, were determined. In terms of the coefficient of influence, most of the sectors that ranked high in 2012 are related to manufacturing, except for lodging and catering. The sensitivity and influence coefficients indicate that the top-ranked sectors in 2012 were more affected by the raw materials and energy essential for manufacturing development than by the services sector.


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