Planning with Semi-input-output Method with Empirical Application to Nigeria. By Arie Kuyvenhoven. Leiden: Martinus Nijhoff Social Sciences Division. 1978. xi + 266 pp.

1980 ◽  
Vol 19 (3) ◽  
pp. 247-249
Author(s):  
A. R. Kemal
Keyword(s):  
Social Sciences ◽  
Developing Countries ◽  
Final Demand ◽  
The Other ◽  
Production Structure ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Comparative Cost ◽  
Planning Models

Input -output analysis is being widely used in developing countries for planning purposes. For a given level of final demand, input-output analysis allows us to project the required level of gross output to ensure consistency of plan. These projections are made on the assumption that the existing production structure is optimal and it implies that an increase in demand will be met through the expansion of domestic output even when it can be satisfied through an increase in imports. On the other hand, according to the semi-input-output method, we do not have to increase the output of international sectors in order to meet the increase in demand because the level and composition of these activities should be determined by comparative- cost considerations. These are the only national sectors in which output must increase in order to avoid shortage. The semi-input -output method has been such a useful and important contribution, yet, regrettably, its influence on the planning models had been rather limited.

Input-Output Analysis in Developing Countries.

1983 ◽  
Vol 93 (370) ◽  
pp. 439
Author(s):  
Anthony Bottomley ◽  
Victor Bulmer-Thomas
Keyword(s):  
Developing Countries ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis

The Economic Impact of Tourism in Israel: A Multi-Regional Input—Output Analysis

1997 ◽  
Vol 3 (4) ◽  
pp. 341-359 ◽  
Author(s):  
Daniel Freeman ◽  
Esther Sultan
Keyword(s):  
Spatial Distribution ◽  
Economic Impact ◽  
Value Added ◽  
The Other ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Regional Impacts

Tourism has become one of the main export services in Israel in the last five years. The objective of this study was to estimate the comprehensive contribution of tourism to the economy of Israel and its spatial distribution. The study measured the impacts (multipliers) on three levels: direct, indirect and induced. A multi-regional input–output (MRIO) model was used in this research because of its capability to evaluate the impacts of inter-regional interdependencies simultaneously with those of sectoral ones. The results were expressed as multi-regional input–output multipliers. The authors conclude that the sum of the value-added from indirect output was 4% of GDP, and that from induced impacts was 7% of the GDP. There were differences in the impacts within and outside the regions. The analysis of multi-regional impacts through the use of MRIO enabled the authors to estimate simultaneously the magnitude of the impacts within the region, the related impacts in other regions, and the feedback impacts due to the other regions' demand.

scholarly journals On the method for estimating technical coefficients of input-output analysis

2015 ◽  
Vol 1 (3) ◽  
pp. 8-12
Author(s):  
Do Van Sy ◽  
Bui The Tam ◽  
Nguyen Van Thieu
Keyword(s):  
Linear Programming ◽  
Numerical Data ◽  
Final Demand ◽  
Computational Results ◽  
Input Output ◽  
Analysis Model ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Linear Programming Problems ◽  
Technical Coefficients

In this paper a new method is presented for estimating the technical coefficients of the input-output analysis model with six sectors by using  the statistical numerical data on the gross domestic product and the  final demand and solving the system of the linear programming problems. The computational results presented in this  paper are more precise than that of the others in the last time. 

Economic impacts of the hotel industry: an input-output analysis

2015 ◽  
Vol 70 (2) ◽  
pp. 132-149 ◽  
Author(s):  
Hyojin Kim ◽  
Byung-Gook Kim
Keyword(s):  
Hotel Industry ◽  
Economic Structure ◽  
The State ◽  
The Other ◽  
Labor Income ◽  
Input Output ◽  
Output Analysis ◽  
Content Type ◽  
Input Output Analysis ◽  
The Usa

Purpose – The purpose of this paper is to be limited to provide an overall economic structure linked with a particular hospitality industry by identifying the economic structure of relations between the two hotel industries and other industries within a particular state in the USA. Design/methodology/approach – The analyses of output, labor income and employment multipliers from the input–output system were performed using the IMPLAN 3.0 software. The study attempted to compare the hotel/motel industry (industry code 411) and the accommodations industry (industry code 412) with the top ten industries and averages of each set of multipliers to estimate the relative importance and contribution of the two hotel industries to the economy of Texas. After this comparison, the aggregated input–output tables and multipliers were prepared to determine the economic inter-relationship between the two combined hotel industries (industry code 411 plus industry code 412) and the non-hotel industries, using the criteria of the NAICS (North American Industry Classification System). Findings – The three findings of this study are summarized as follows. First, the two hotel industries impacted the state economy due to a high induced effect from output and a considerable direct, indirect and induced effect from labor income and employment, despite their relatively lower multipliers and the economic downturn in the state. Second, the hotel-related industry had a strong inter-dependent relationship with the finance and insurance-related industries. Finally, while the hotel industry generated more labor income and employment than did the other accommodations industry, it is interesting that the other accommodations industry created more output than did the hotel industry. Research limitations/implications – Other than limitations pertaining to assumptions of input-output model, an input-output analysis alone cannot become the best analytical method for decision-making. The study was a cross-sectional study with 2009 data and did not incorporate a time-series flow of the state economic structure over several decades. A study of the inter-relationship among varied states bordering the state could be worthwhile to identify the flow of inputs and outputs. Originality/value – Despite a considerable number of research in measuring the economic impacts, this paper was of great significance, in that the economic impact of the hotel industry that has never been performed in a particular state of the USA was analyzed. Additionally, these quantified economic data and results should be helpful to future plans and policies associated with the hotel industry.

scholarly journals Structural emission reduction of China's industrial system and energy system: An input-output analysis

2021 ◽  
Author(s):  
Jun Yang ◽  
Hanghang Dong ◽  
Tangyang Jiang
Keyword(s):  
Emission Reduction ◽  
Energy Systems ◽  
Energy System ◽  
Final Demand ◽  
Industrial System ◽  
Input Output ◽  
Output Analysis ◽  
Intensity Effect ◽  
Input Output Analysis ◽  
Demand Effect

Abstract The global greenhouse effect caused by excessive energy CO 2 emissions has seriously affected the sustainable development of the society, and energy consumption and production mainly come from industrial system and energy system. This paper used the structural decomposition analysis (SDA) and the input-output analysis to study the structural emission reduction of China's industrial and energy systems in 2007-2015. The results showed that: (1) From the analysis of structural factors, the final demand effect was the main factor to promote the growth of energy CO 2 emissions, and the energy intensity effect played a weak role in promoting the growth of energy CO 2 emissions. (2) From the perspective of energy systems, the emission reduction effect of blast furnace gas, raw coal, refinery dry gas and natural gas is obvious, while that of crude oil, gasoline, fuel oil and kerosene is not obvious. (3) From the perspective of China's industrial systems, the tertiary industry played a major role in the final demand effect, followed by secondary industries and the primary industry in turn. Finally, this paper provided a theoretical basis and realistic guiding route for the accurate and efficient emissions reduction of energy system and China's industrial system.

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.

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