ANALISIS PENGARUH SEKTOR HOTEL DAN RESTORAN TERHADAP PEREKONOMIAN DI SUMATERA BARAT

This study aims to: (1) analyze the role the hotel and restaurant sector to the economy in the formation of the structure of demand and the structure of supply, consumption structure, the structure of exports and imports, the structure of gross added value, (2) determine the magnitude of forward linkages and belakanh linkage to the hotel and restaurant sector, (3) determine the coefficient of deployment and dissemination sensitivity hotel and restaurant sector, (4) determine the magnitude of the multiplier effect (multiplier effect). The result shows that : (1) The contribution of hotels and restaurants output ranks last of the ten sectors, (2) Analysis of the relationship indicates that the hotel and restaurant sector have backward linkages ,(3) Analysis of the impact of the deployment where the deployment impact on the spread of and sensitivity to the coefficient of deployment, (4) The sector of hotels and restaurants have the value of the multiplier is relatively high, especially for the multiplier output and income multiplier.Keyword : hotel and restaurant, input output analysis

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Contribution of ICT Sector to Vietnamese Economy: An Input-Output Analysis

VNU Journal of Science Economics and Business ◽

10.25073/2588-1108/vnueab.4192 ◽

2018 ◽

Vol 34 (5E) ◽

Author(s):

Đức Thị Việt Đặng

Keyword(s):

Total Output ◽

Input Output ◽

Output Analysis ◽

Research Results ◽

Input Output Analysis ◽

The Government ◽

Ict Industry ◽

Backward Linkages ◽

The Impact

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.

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ANALISIS KETERKAITAN SEKTOR PERTANIAN DAN PENGARUHNYA TERHADAP PEREKONOMIAN INDONESIA (ANALISIS INPUT OUPUT)

Jurnal Ilmiah Satyagraha ◽

10.47532/jis.v3i2.178 ◽

2020 ◽

Vol 3 (2) ◽

pp. 140-157

Author(s):

Ni Putu Andini Desiyanti L

Keyword(s):

Agricultural Sector ◽

Manufacturing Sector ◽

Secondary Data ◽

Input Output ◽

Water Sector ◽

Agriculture Sector ◽

Multiplier Effect ◽

Backward Linkages ◽

The Impact ◽

The Relationship

The agricultural sector is still the mainstay of job creation in large enough quantities compared to other sectors of the economy in Indonesia. It makes the chances of the agricultural sector in its influence on the economy in Indonesia. This article aims to examine the relationship forward and backward linkages agricultural sector with other sectors in Indonesia and examines the impact of multiplier output agriculture sector on the economy. Analysis use Input-Output with secondary data Input-Output Indonesia 2010. The results showed that the manufacturing sector and electricity, gas, water sector had been linked to the future of the agricultural sector. Furthermore, electricity, gas, water sector; and the building sector have backward linkages to the agriculture sector. The multiplier output agricultural sector has multiplier output impact lower than other sectors in the economy. Multiplier household income and employment agriculture have a greater multiplier effect than other sectors.

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Why Are the Carbon Footprints of China’s Urban Households Rising? An Input–Output Analysis and Structural Decomposition Analysis

Sustainability ◽

10.3390/su11247157 ◽

2019 ◽

Vol 11 (24) ◽

pp. 7157 ◽

Cited By ~ 1

Author(s):

Xiaoyu Liu ◽

Xian’en Wang ◽

Junnian Song ◽

Haiyan Duan ◽

Shuo Wang

Keyword(s):

Decomposition Analysis ◽

Input Output ◽

Structural Decomposition Analysis ◽

Output Analysis ◽

Carbon Footprints ◽

Urban Households ◽

Consumption Structure ◽

Input Output Analysis ◽

The Past ◽

The Impact

A rise in China’s economy and urbanization has brought about obvious growth in the carbon footprints of urban households over the past years. In this study, input–output analysis was adopted to calculate the carbon footprints of urban households in China. Furthermore, a detailed analysis of the impact factors on indirect carbon footprints was carried out by using the structural decomposition analysis at both holistic and sectoral levels. The results showed that the carbon footprints of urban households were 941.37 MtCO2 in 2002, 1498.11 MtCO2 in 2007, and 2139.50 MtCO2 in 2012. Electricity was the main contributor to the direct urban household carbon footprints, accounting for over 40%. The category of “household facilities” contributed the most to indirect carbon footprints (306.00 MtCO2) in 2012, and the “transportation” had the fastest growth rate (395%) during 2002–2012. The industrial sector of “wearing apparel” had the largest increments (139.92 MtCO2) in carbon footprints during the past decade. Generally, consumption level and population size presented positive effects on the increments in indirect carbon footprints, while emission intensity decreased indirect carbon footprints. However, the impact of consumption structure and intermediate demand on indirect carbon footprints varied at holistic and sectoral levels. The mitigation efforts should focus on reducing emission intensity, shifting consumption structure and changing intermediate demand.

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ANALISIS KETERKAITAN SEKTOR PERTANIAN DAN PENGARUHNYA TERHADAP PEREKONOMIAN INDONESIA (ANALISIS INPUT OUPUT)

Jurnal Economia ◽

10.21831/economia.v13i1.11923 ◽

2017 ◽

Vol 13 (1) ◽

pp. 14

Author(s):

Retno Febriyastuti Widyawati

Keyword(s):

Agricultural Sector ◽

Manufacturing Sector ◽

Secondary Data ◽

Input Output ◽

Water Sector ◽

Output Analysis ◽

Agriculture Sector ◽

Multiplier Effect ◽

Backward Linkages ◽

The Impact

Abstrak: Analisis Keterkaitan Sektor Pertanian dan Pengaruhnya Terhadap Perekonomian di Indonesia (Analisis Input Output). Sektor pertanian masih menjadi andalan penciptaan lapangan pekerjaan dalam jumlah yang cukup besar dibandingkan dengan sektor-sektor lainnya dalam perekonomian di Indonesia. Hal ini menjadikan peluang sektor pertanian dalam pengaruhnya terhadap perekonomian di Indonesia. Artikel ini bertujuan untuk meneliti keterkaitan ke depan dan ke belakang sektor pertanian dengan sektor-sektor lain di Indonesia dan meneliti dampak dari angka pengganda sektor pertanian. Analisis yaitu Input-Output dengan data sekunder Input-Output Indonesia 2010. Hasil menunjukkan bahwa sektor industri pengolahan dan sektor listrik, gas, air bersih memiliki keterkaitan ke depan terhadap sektor pertanian. Selanjutnya, sektor listrik, gas, air bersih; dan sektor bangunan memiliki keterkaitan ke belakang terhadap sektor pertanian. Hasil pengganda output sektor pertanian memiliki dampak pengganda output yang lebih rendah dibandingkan sektor lainnya, sedangkan pengganda pendapatan rumah tangga dan kesempatan kerja memiliki dampak pengganda yang lebih besar dibandingkan sektor lainnya. Kata Kunci: Pertanian, Input-Output, Keterkaitan, Angka Pengganda Abstract: Linkage Analysis of Agricultural Sector and Effect on the Economy in Indonesia (Input-Output Analysis). The agricultural sector is still the mainstay of job creation in large enough quantities compared to other sectors of the economy in Indonesia. It makes the chances of the agricultural sector in its influence on the economy in Indonesia. This article aims to examine the relationship forward and backward linkages agricultural sector with other sectors in Indonesia and examines the impact of multiplier output agriculture sector on the economy. Analysis use Input-Output with secondary data Input-Output Indonesia 2010. The results showed that the manufacturing sector and electricity, gas, water sector had been linked to the future of the agricultural sector. Furthermore, electricity, gas, water sector; and the building sector have backward linkages to the agriculture sector. The multiplier output agricultural sector has multiplier output impact lower than other sectors in the economy. Multiplier household income and employment agriculture have a greater multiplier effect than other sectors. Keywords: Agriculture, Input-Output, Linkages, Multiplier Effect

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The Impact of Polish-German Trade Flows on CO2 Emissions

Folia Oeconomica Stetinensia ◽

10.2478/v10031-012-0022-9 ◽

2012 ◽

Vol 11 (1) ◽

pp. 152-164

Author(s):

Jan T. Mizgajski

Keyword(s):

Co2 Emissions ◽

Trade Flows ◽

Input Output ◽

Output Analysis ◽

German Trade ◽

Input Output Analysis ◽

Embodied Carbon ◽

The Impact

Abstract This study analyses the embodied carbon in the trade flows between Poland and Germany. The calculations are based on data from Eurostat and OECD for 2008. The study uses input-output analysis, which allows the assignment of responsibility to individual flows for generating specific amounts of emissions in the economy. It demonstrates that Polish exports to Germany contain significantly more embodied carbon than do imports from Germany, despite the fact that the value of imports is higher. Moreover, it is found that Polish-German trade flows were responsible for more CO2 emissions that Lithuania and Latvia emitted together in 2008.

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Environmental impacts of European trade: interpreting results of process-based LCA and environmentally extended input–output analysis towards hotspot identification

The International Journal of Life Cycle Assessment ◽

10.1007/s11367-019-01649-z ◽

2019 ◽

Vol 25 (12) ◽

pp. 2432-2450 ◽

Cited By ~ 5

Author(s):

Antoine Beylot ◽

Sara Corrado ◽

Serenella Sala

Keyword(s):

Life Cycle ◽

Impact Assessment ◽

Environmental Impacts ◽

Impact Categories ◽

Input Output ◽

Output Analysis ◽

Input Output Analysis ◽

European Trade ◽

The Impact ◽

Modelling Approaches

Abstract Purpose Trade is increasingly considered a significant contributor to environmental impacts. The assessment of the impacts of trade is usually performed via environmentally extended input–output analysis (EEIOA). However, process-based life cycle assessment (LCA) applied to traded goods allows increasing the granularity of the analysis and may be essential to unveil specific impacts due to traded products. Methods This study assesses the environmental impacts of the European trade, considering two modelling approaches: respectively EEIOA, using EXIOBASE 3 as supporting database, and process-based LCA. The interpretation of the results is pivotal to improve the robustness of the assessment and the identification of hotspots. The hotspot identification focuses on temporal trends and on the contribution of products and substances to the overall impacts. The inventories of elementary flows associated with EU trade, for the period 2000–2010, have been characterized considering 14 impact categories according to the Environmental Footprint (EF2017) Life Cycle Impact Assessment method. Results and discussion The two modelling approaches converge in highlighting that in the period 2000–2010: (i) EU was a net importer of environmental impacts; (ii) impacts of EU trade and EU trade balance (impacts of imports minus impacts of exports) were increasing over time, regarding most impact categories under study; and (iii) similar manufactured products were the main contributors to the impacts of exports from EU, regarding most impact categories. However, some results are discrepant: (i) larger impacts are obtained from IO analysis than from process-based LCA, regarding most impact categories, (ii) a different set of most contributing products is identified by the two approaches in the case of imports, and (iii) large differences in the contributions of substances are observed regarding resource use, toxicity, and ecotoxicity indicators. Conclusions The interpretation step is crucial to unveil the main hotspots, encompassing a comparison of the differences between the two methodologies, the assumptions, the data coverage and sources, the completeness of inventory as basis for impact assessment. The main driver for the observed divergences is identified to be the differences in the impact intensities of goods, both induced by inherent properties of the IO and life cycle inventory databases and by some of this study’s modelling choices. The combination of IO analysis and process-based LCA in a hybrid framework, as performed in other studies but generally not at the macro-scale of the full trade of a country or region, appears a potential important perspective to refine such an assessment in the future.

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