Modeling of Agricultural Production using Input- Output Analysis Technique a Quantitative Study of the Algerian Economy for the Period 2005-2019

Agricultural development and strategic planning require good reliable and comparable data that can guide appropriate policies and good governance to provide experts and decision makers in countries with effective tools. However, the quantitative measurement of sectors of the Algerian economy is relatively recent when compared with developed countries. Agriculture, fishing and forestry sector can if exploited should promote economic growth and protect national food security. Agricultural production was not only an engine of economic recovery in many countries but also a vital contributor to job creation, value added and output. The researcher used the input-output analysis method (IOA) and its analytical indicators of the interdependencies between sectors in the Algerian economy. This method is generally used to estimate the effects of positive or negative economic shocks and to analyze the crumbling effects across the economy. Using the PYIO package and drop them on the Algerian input-output tables for the separate years 2005-2010 -2016 and 2019. The main purpose of this paper is to estimate the output impacts of Agriculture, fishing and forestry sector if will be extracted, and identifying key sectors at different levels of time series. To achieve this two purposes, finding on both analytical and empirical grounds from input-output analysis technique and the data available from Algerian input-output tables, the researcher used linkage analysis. To study these measures our empirical study is based on sectoral output and output impacts for 18 Algerian sectors of four different years; The quantitative study showed the potential of the agricultural sector which was classified as a key sector according to HEM, reflecting the potential to be the locomotive of the Algerian economy in the 21st century. In addition, the study concluded that the agricultural sector in terms of wealth formation is in second position, but on the output and income side, the sector still need help, a big push to enable him to take the leading role in development path. It is a promising sector if there is human potential, especially the skilled hand to become a sector of the agriculture industry.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-10-14
DOI
https://doi.org/10.36948/ijfmr.2024.v06i05.28489
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling of Agricultural Production using Input- Output Analysis Technique a Quantitative Study of the Algerian Economy for the Period 2005-2019

Chetouh Noureddine -
International Journal For Multidisciplinary Research
Efficiency Analysis Using DEA
article

Modeling of Agricultural Production using Input- Output Analysis Technique a Quantitative Study of the Algerian Economy for the Period 2005-2019

Chetouh Noureddine -
article en

Abstract

Agricultural development and strategic planning require good reliable and comparable data that can guide appropriate policies and good governance to provide experts and decision makers in countries with effective tools. However, the quantitative measurement of sectors of the Algerian economy is relatively recent when compared with developed countries. Agriculture, fishing and forestry sector can if exploited should promote economic growth and protect national food security. Agricultural production was not only an engine of economic recovery in many countries but also a vital contributor to job creation, value added and output. The researcher used the input-output analysis method (IOA) and its analytical indicators of the interdependencies between sectors in the Algerian economy. This method is generally used to estimate the effects of positive or negative economic shocks and to analyze the crumbling effects across the economy. Using the PYIO package and drop them on the Algerian input-output tables for the separate years 2005-2010 -2016 and 2019. The main purpose of this paper is to estimate the output impacts of Agriculture, fishing and forestry sector if will be extracted, and identifying key sectors at different levels of time series. To achieve this two purposes, finding on both analytical and empirical grounds from input-output analysis technique and the data available from Algerian input-output tables, the researcher used linkage analysis. To study these measures our empirical study is based on sectoral output and output impacts for 18 Algerian sectors of four different years; The quantitative study showed the potential of the agricultural sector which was classified as a key sector according to HEM, reflecting the potential to be the locomotive of the Algerian economy in the 21st century. In addition, the study concluded that the agricultural sector in terms of wealth formation is in second position, but on the output and income side, the sector still need help, a big push to enable him to take the leading role in development path. It is a promising sector if there is human potential, especially the skilled hand to become a sector of the agriculture industry.

International Journal For Multidisciplinary ResearchVol. 6(5)
Zero hunger
Openalex Percentile: Top 78%
Efficiency Analysis Using DEA
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Modeling of Agricultural Production using Input- Output Analysis Technique a Quantitative Study of the Algerian Economy for the Period 2005-2019 — Chetouh Noureddine - · International Journal For Multidisciplinary Research (2024) | TGRS Research Map | TGRS