Identification of Key Sectors in a Low-Income Country - Evidence of Backward and Forward Linkages from Input-Output Analysis

2021 ◽  
Author(s):  
Dayo Ojaleye ◽  
G. Badri Narayanan
Keyword(s):  
Low Income ◽  
Income Country ◽  
Input Output ◽  
Output Analysis ◽  
Low Income Country ◽  
Input Output Analysis ◽  
Key Sectors ◽  
Backward And Forward Linkages

Backward and Forward Linkages in Chinese Steel Industry Using Input Output Analysis

2012 ◽  
pp. 139-158 ◽  
Author(s):  
Lafang Wang ◽  
Rui Xie ◽  
Jun Liu
Keyword(s):  
Steel Industry ◽  
Induction Effect ◽  
Export Demand ◽  
Input Output ◽  
Output Analysis ◽  
Iron And Steel ◽  
Input Output Analysis ◽  
Industrial Linkages ◽  
Chinese Steel Industry ◽  
Backward And Forward Linkages

This paper measures the direct and indirect contribution made by iron and steel industry in the economy of China and assess the differences between China and other steel producing countries. With this aim in view, the input-output modelling is used to detect the industrial linkages known as backward and forward linkages of eight iron and steel producing countries, including China, USA, Japan, Germany, Italy, Brazil, Korea, and India. The induction effect of export demand on steel industry in China is shown to be less than several OECD countries, such as Japan.

scholarly journals Hubungan Antar Sektor dan Daerah dalam Perekonomian Provinsi Su-matera Barat Tahun 2016 (An Inter-Regional Input-Output Analysis)

2021 ◽  
Vol 1 (3) ◽  
pp. 244-260
Author(s):  
Fauzul Hidayah ◽  
Deden Achmad Sunarjo
Keyword(s):  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Key Sectors

Kinerja perekonomian di suatu daerah tidak hanya dapat dilihat melalui kontribusi suatu sektor terhadap total perekonomian di daerah tersebut, namun juga dapat dilihat berdasarkan keterkaitan sektor tersebut terhadap sektor lainnya. Artinya, bagaimana suatu sektor mampu mempengaruhi dan memberikan efek terhadap aktivitas sektor-sektor ekonomi lainnya di daerah tersebut. Kontribusi suatu sektor terhadap total perekonomian, serta keterkaitan yang terjadi antar sektor akan memberikan gambaran menyeluruh terkait integrasi dalam pembangunan ekonomi di suatu daerah. Salah satu alat yang dapat digunakan adalah Tabel Input-Output Regional (Tabel I-O Regional). Tabel I-O Regional disusun untuk menyajikan gambaran hubungan timbal-balik dan saling keterkaitan antar sektor dalam perekonomian di suatu daerah selama periode tertentu (biasanya satu tahun). Selain itu, untuk memperlihatkan peranan dari masing-masing daerah dan adanya saling ketergantungan antar daerah tersebut, juga digunakan Inter-Regional Input-Output (Tabel IRIO). Pada tulisan ini, daerah yang menjadi fokus analisis adalah Provinsi Sumatera Barat, dengan menggunakan Tabel I-O Sumatera Barat berukuran 17x17 lapangan usaha serta Tabel IRIO 17 lapangan usaha x 34 provinsi yang diperoleh dari publikasi Badan Pusat Statistik. Hasil analisis menunjukkan bahwa 4 lapangan usaha yang teridentifikasi sebagai nasional key sectors, dimana 3 lapangan usaha pertama juga merupakan local key sectors, yaitu: lapangan usaha Pengadaan Listrik dan Gas (D), Transportasi dan Pergudangan (H), Informasi dan Komunikasi (J) , serta Industri Pengolahan (C). Selain itu, jika terjadi perubahan permintaan akhir di Provinsi Sumatera Barat, maka provinsi yang akan menerima dampak limpahan (spillover output dan NTB) terbesar adalah ke provinsi-provinsi di Pulau Jawa dan Pulau Sumatera, terutama provinsi DKI Jakarta. Di sisi lain, Provinsi Sumatera Barat akan memperoleh dampak limpahan (spillover output dan NTB) terbesar jika terjadi perubahan permintaan akhir di provinsi-provinsi di Pulau Sumatera, terutama Provinsi Jambi.

scholarly journals An Input-output Analysis of Sources of Growth and Key Sectors in Malaysia

2008 ◽  
Vol 2 (3) ◽  
Author(s):  
Rohana Bt Kamaruddin ◽  
Zakariah Abdul Rashid ◽  
Kamaruzaman Jusoff
Keyword(s):  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Key Sectors

scholarly journals PDRB Hijau dalam Perkembangan Wilayah di Kota Depok

2020 ◽  
Vol 22 (2) ◽  
pp. 222-235
Author(s):  
Setyo Nugroho ◽  
Kukuh Murtilaksono ◽  
Seokmana Soma
Keyword(s):  
Regional Development ◽  
High Growth ◽  
Resource Depletion ◽  
Economic Indicator ◽  
Government Revenue ◽  
Input Output ◽  
Economic Sectors ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Key Sectors

Depok City has become one of the cities with high economic growth in West Java Province. This high growth, however, also has impact on the environment. This study aimed to review the level of regional development and linkages among economic sectors and calculate Green GRDP for regional development directions. Scalogram method and input output analysis were applied to indicate the level of regional development and identify the key sectors. The value of green GRDP was obtained from the calculation of natural resource depletion and calculation of environmental degradation. The research showed that 65.08% of villages in Depok City were in the form of hinterland. The sector of electricity, gas, and drinking water was the key  sector of economic development in Depok City. Furthermore, the Green GRDP value only had a difference of 4.47% or Rp2,610.78 billion, compared to Brown GRDP. However, if the GRDP difference was compared to the original local government revenue, this would consume all of the income. The analysis resulted green GRDP was more relevant to be applied as an economic indicator because better description the level of overall welfare.

scholarly journals Inter-Sector and Inter-Country Linkages in Indonesian Economy: World Input-Output Analysis

2020 ◽  
Vol 20 (2) ◽  
pp. 232-245
Author(s):  
Muchdie Muchdie ◽  
Muhammad Handry Imansyah
Keyword(s):  
Input Output ◽  
Output Data ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Key Sectors ◽  
Backward Linkages ◽  
Year 2000 ◽  
Two Sectors ◽  
Group 1

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.

scholarly journals Sectoral Interdependencies and Key Sectors in the Romanian, Hungarian and Slovak Economy – An Approach Based on Input-Output Analysis

2014 ◽  
Vol 2 (1) ◽  
pp. 37-57 ◽  
Author(s):  
Emese Balla
Keyword(s):  
Total Output ◽  
Input Output ◽  
Food Sector ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Personal Services ◽  
Manufacturing Sectors ◽  
Key Sectors ◽  
Backward Linkages

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

scholarly journals Key Sectors in Sanggau District's Economy: An Input-Output Analysis

2009 ◽  
Vol 9 (2) ◽  
pp. 127-142
Author(s):  
Eddy Suratman ◽  
Thomas Tony Irawan
Keyword(s):  
Development Policy ◽  
The Other ◽  
Input Output ◽  
Economic Sectors ◽  
Output Analysis ◽  
Processing Industry ◽  
Input Output Analysis ◽  
Key Sectors ◽  
Forward Linkage ◽  
Two Sectors

This research is aimed to investigate the key sectors in the economy of Sanggau District. This research is descriptive and is using input-output analysis to find out the multiplier of economic sectors. In addition we also investigate the linkage among economic sectors, which are measured by backward and forward linkage indexes. The finding of this research shows that there are two sectors being the key namely the processing industry and transportation and communication sectors with backward and forward linkage indexes above the average level of the other sectors. Agriculture were found to be the sector with the biggest employment absorption. Based on this finding, the development policy strategies should be directed toward the policy that creates maximum economy, particularly in the sectors of processing industry and transportation and communication. As it will create a better distribution of job vacation among sectors in Sanggau District.

scholarly journals Key Sectors in the Moroccan Economy: An Application of Input-Output Analysis

2013 ◽  
Vol 7 (2013-18) ◽  
pp. 1 ◽  
Author(s):  
Said Tounsi ◽  
Elhadj Ezzahid ◽  
Aicha El Alaoui ◽  
Abdelaziz Nihou
Keyword(s):  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Key Sectors
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