scholarly journals Digital-related economy sectors and regional economy disruption

2019 ◽  
Vol 22 (1) ◽  
pp. 147-162
Author(s):  
Achmad Nurdany ◽  
Anggari Marya Kresnowati
Keyword(s):  
Economic Impact ◽  
Regional Economy ◽  
Manufacturing Sector ◽  
Digital Economy ◽  
Input Output ◽  
Economic Sectors ◽  
Output Analysis ◽  
Goods And Services ◽  
Multiplier Effect ◽  
The Government

While the study of the regional economy and its factors has been well-researched, relatively less is known on the issues for the digital economy sectors affecting the regional economy. Therefore, the aims of this paper are: to investigate the regional economic impact caused by digital economy sectors; to analyze the multiplier effect of these sectors on the output, income, and employment; and to calculate the economic impact of additional investment in the digital economy sectors. The study focuses on the region of East Java Province, Indonesia. The method used in this study is the input-output analysis (13 x 13 aggregation), which generates transaction of goods and services at a certain time. This study uses data from the Central Bureau of Statistics, Input-Output Table of East Java Province year 2015, which  includes 110 economic sectors, which are then grouped into digital related and non-digital related sectors. The result indicates that digital economy sectors have both backward and forward linkages to other sectors in the region. Further finding shows that digital related manufacturing sector has the highest multiplier effect on the output, income, and employment. While investment injection on the digital economy sectors, based on the analysis, will make better disruption on East Java economy. The government of the region should put an emphasis to attract more investment in the digital economy sectors.

scholarly journals Impact Study on Social Accounting Matrix by Intrabusiness Analysis

2021 ◽  
Vol 18 (23) ◽  
pp. 12547
Author(s):  
Monica Laura Zlati ◽  
Romeo-Victor Ionescu ◽  
Valentin Marian Antohi
Keyword(s):  
Economic Systems ◽  
Input Output ◽  
Economic Sectors ◽  
Output Analysis ◽  
Regional Economic ◽  
New Approach ◽  
The Matrix ◽  
The Government ◽  
Current Concerns

According to the current concerns about social welfare and environmental protection, integrated in a model assimilated to intrabusiness relations, our research started from the analysis of the initial model SAM, which will be transformed in order to develop the SAMI model under six research objectives. The need of improving SAM matrix started to connect it directly to the regional economic systems and continued to a new approach on Input-Output Analysis. Nowadays, SAM describes the intraregional connections between regional economic actors using the role of different income categories. Moreover, SAM can quantify different regional multipliers. All deficiencies previously identified in connection to SAM model have been reviewed and resolved within the proposed SAMI model by the authors of this paper. The purpose of this research is the launch of an absolutely new mathematical model (SAMI) and its practical testing at regional level. This model is able to systematize the links between the local and regional businesses, under the matrix (SAMI) flow, for all kinds of companies and to assist the regional decision, as well. Czamanski was not able to escape from the input-output prison’s approach. This is why he continued to use the linear interdependencies between the industries, economic sectors and economic actors. The income is able only to approximate the individuals and other economic actors’ welfare. If the increase in the average and aggregate income is doubled by an unfair distribution of income in two countries which have the same average income, the effects on welfare vary a lot. A relatively similar effect comes from the government policy differences in income distribution and redistribution.

scholarly journals Multi-Scale Assessment of the Economic Impacts of Flooding: Evidence from Firm to Macro-Level Analysis in the Chinese Manufacturing Sector

2019 ◽  
Vol 11 (7) ◽  
pp. 1933 ◽  
Author(s):  
Xi Hu ◽  
Raghav Pant ◽  
Jim W Hall ◽  
Swenja Surminski ◽  
Jiashun Huang
Keyword(s):  
Manufacturing Sector ◽  
Economic Impacts ◽  
Macro Level ◽  
Total Output ◽  
Input Output ◽  
Economic Sectors ◽  
Output Analysis ◽  
Firm Level ◽  
Flood Impacts ◽  
Macroeconomic Impact

We present an empirical study to systemically estimate flooding impacts, linking across scales from individual firms through to the macro levels in China. To this end, we combine a detailed firm-level econometric analysis of 399,356 firms with a macroeconomic input-output model to estimate flood impacts on China’s manufacturing sector over the period 2003–2010. We find that large flooding events on average reduce firm outputs (measured by labor productivity) by about 28.3% per year. Using an input-output analysis, we estimate the potential macroeconomic impact to be a 12.3% annual loss in total output, which amounts to 15,416 RMB billion. Impacts can propagate from manufacturing firms, which are the focus of our empirical analysis, through to other economic sectors that may not actually be located in floodplains but can still be affected by economic disruptions. Lagged flood effects over the following two years are estimated to be a further 5.4% at the firm level and their associated potential effects are at a 2.3% loss in total output or 2,486 RMB billion at the macro-level. These results indicate that the scale of economic impacts from flooding is much larger than microanalyses of direct damage indicate, thus justifying greater action, at a policy level and by individual firms, to manage flood risk.

scholarly journals The economic impact of hunting in the Limpopo province

2015 ◽  
Vol 8 (1) ◽  
pp. 223-242 ◽  
Author(s):  
Peet Van Der Merwe ◽  
Melville Saayman ◽  
Riaan Rossouw
Keyword(s):  
South Africa ◽  
Economic Impact ◽  
Regional Economy ◽  
Tourism Industry ◽  
Limpopo Province ◽  
Social Accounting Matrix ◽  
Direct Impact ◽  
Input Output ◽  
Trophy Hunting ◽  
Multiplier Effect

This study evaluated the economic impact of hunting on the regional economy of South Africa’s Limpopo Province. Data on biltong hunting was derived from a national survey conducted in 2009 and data on trophy hunting from the Professional Hunting Association of South Africa (PHASA). Using the input-output (social accounting matrix) and multiplier analyses, we found that the direct economic impact of hunting in the regional economy of the Limpopo Province, as a result of increased expenditure, exceeded R669 million (US$83.6 million). This direct impact resulted in a total economic impact in the order of R1.2 billion (US$150 million) and consequently in a multiplier effect of 1.76. With regard to employment, we estimated that some 8 382 jobs, in addition to those of the employees directly involved, may be dependent upon hunting in the province, which supports the notion that this is a viable and important sector of the tourism industry.

scholarly journals The Rising Carbon Footprint of Philippine Households: An Estimation Using Consumption Expenditure and Input-Output Analysis

2016 ◽  
pp. 1-16 ◽  
Author(s):  
Moises Neil Seriño
Keyword(s):  
Carbon Footprint ◽  
Carbon Emission ◽  
Parametric Estimation ◽  
Low Carbon ◽  
Input Output ◽  
Economic Sectors ◽  
Output Analysis ◽  
Green Consumption ◽  
Goods And Services ◽  
Trade Analysis

This study aimed to estimate the carbon footprint of Philippine households from consuming various goods and services. Data from the Philippine Input-Output Table and Global Trade Analysis Project’s carbon emission coefficients were used to extract the carbon intensities of different economic sectors. The embodied carbon emission from different consumption items was estimated by tracing the associated emission down to its intermediate inputs used in the production. The total household carbon footprint was derived by summing up the carbon emission from each consumption category. Results showed that the highest carbon emitting goods consumed by households are related to expenditure on fuel, light and transportation while nondurable and recreation goods were the least carbon intensive. Different socio-economic characteristics of the households matter in explaining total household carbon footprint. By using non-parametric estimation, results showed a strong positive relationship between household carbon footprint and income but the effect varies across the distribution. This implies that further increases in carbon footprint are to be expected as households get richer. Policy makers should devise policies promoting green consumption or low-carbon lifestyle; else it is likely that households will be leading a carbon intensive lifestyle as they become more affluent.

scholarly journals KONTRIBUSI EKSPOR SEKTOR PERIKANAN DALAM PEREKONOMIAN NASIONAL: ANALISIS INPUT OUTPUT

2017 ◽  
Vol 2 (1) ◽  
pp. 35
Author(s):  
Risna Yusuf ◽  
Tajerin Tajerin
Keyword(s):  
National Economy ◽  
Secondary Data ◽  
Output Growth ◽  
Input Output ◽  
Fish Processing ◽  
Output Analysis ◽  
Multiplier Effect ◽  
Fish Product ◽  
The Government ◽  
The One

Kajian ini bertujuan mengetahui sejauhmana kontribusi ekspor sektor perikanan ”dalam arti luas” dalam perekonomian nasional, khususnya pada pertumbuhan output, pendapatan masyarakat dan penyerapan tenaga kerja. Kajian ini menggunakan data sekunder yaitu tabel Input Output tahun 2000 yang dikeluarkan oleh BPS. Kajian ini menggunakan metode analisis Input Output. Hasil kajian memperlihatkan bahwa kontribusi ekspor sub sektor industri pengolahan hasil perikanan dalam pembentukan output dan pendapatan masyarakat ternyata jauh lebih besar dibandingkan dengan sektor perikanan yaitu masing-masing 10,28% dari Rp 102.264.263 juta; 5.55% dari Rp. 28.721.949. Namun sebaliknya dalam penyerapan tenaga kerja, ternyata kontribusi ekspor sektor perikanan justru lebih besar dibandingkan dengan sub sektor industri pengolahan hasil perikanan sebesar 7,45% dari 2.685.339 orang. Oleh karena itu diperlukan peran pemerintah secara lebih nyata dalam mendorong besaran multiplier effect melalui penciptaan lapangan kerja dari kegiatan ekspor sub sektor industri pengolahan hasil perikanan dengan cara menumbuhkan kegiatan usaha di sub sektor industri perikanan yaitu di sub sektor industri pengeringan dan penggaraman dan sub sektor industri pengolahan dan pengawetan ikan. Tittle: Export Contribution of Fisheries sector in National Economy: An Input Output AnalysisThe objective of the research is to assess the extent of export contribution of Fisheries sub sector and its products in National Economy, especially on output growth, social income and labor absorption. Secondary data of input output table 2000, which published by BPS was used in this study. The method of input output analysis was used. Results of the research indicate that export contribution of processed fish product industries on output growth and social income are higher than the fisheries sector, which are 10.28% of Rp 102.264.26% and 5.55% of Rp 28.721.949, respectively. On the other hand, contribution of fisheries sector is higher than the one of processed fish product industries. Therefore, the government plays an important role to boost the multiplier effect on labor absorption of industrial fish processing by growing the activities on this sector; i.e. salted and dried fish and processed and preserved fish in terms of labor absorption.

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

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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