scholarly journals A New Method for Interindustry Linkage Analysis Based on Demand-Driven and Multisector Input-Output Model and Its Application in China’s Manufacturing and Producer Services

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16 ◽  
Author(s):  
Xiao Liu ◽  
Jinchuan Shi
Keyword(s):  
Linkage Analysis ◽  
Industrial Sector ◽  
Structural Features ◽  
Research Field ◽  
New Method ◽  
Input Output ◽  
Producer Services ◽  
Linkage Effect ◽  
Industrial Sectors ◽  
Linkage Effects

Interindustry linkage analysis is an important interdisciplinary research field of technical economic and complex systems, and the results can be used as critical bases for making strategies and policies of economic development. This study reviews the previous methods for measuring interindustry linkages and their disadvantages and puts forward a new method for interindustry linkage analysis in a complex economic system on the basis of demand-driven and multisector input-output model. Firstly, it makes a further decomposition of the Leontief inverse matrix in the economic sense and decomposes the gross output of one industrial sector or its sub-industries into three components. Then, it analyzes the structural features of output and measures the interindustry linkages between two industrial sectors with three indices: interindustry linkage effect, interindustry linkage contribution, and interindustry linkage coefficient. Compared with the previous measurements, the method in this study has three obvious advantages: it integrates the sectoral internal effect and external linkage effect at the same time; it can not only measure the interindustry linkage effects between two given industrial sectors but also clearly describe the composition ratio of the direct and indirect interindustry linkage effects; and it adopts, respectively, the absolute flow value, relative flow value, and unit relative value to measure the linkages comprehensively. Finally, this study takes China’s input and output in 2017 as an application case to analyze the structural features of output of its manufacturing and producer services and measure the interindustry linkages between them.

scholarly journals Analysis of water use characteristics in industrial sectors in Beijing based on an input-output method

2019 ◽  
Vol 20 (1) ◽  
pp. 219-230
Author(s):  
Siyang Hong ◽  
Hongrui Wang ◽  
Tao Cheng
Keyword(s):  
Water Use ◽  
Water Conservation ◽  
Optimal Allocation ◽  
Industrial Structure ◽  
High Water ◽  
Industrial Sector ◽  
Input Output ◽  
Association Index ◽  
Industrial Sectors ◽  
Secondary Industry

Abstract Beijing is a megalopolis with a serious water shortage that has been further exacerbated by an unreasonable industrial water structure. This article uses an input-output method to calculate the water use coefficients in each industrial sector in Beijing and analyses the water use characteristics of the various industrial sectors. Then, an industry association index that represents the influence and sensitivity of sectors is combined with the water use characteristics to readjust the industrial structure with the objectives of water conservation and sustainable economic development. The results indicate that the agricultural water use coefficient is the highest and that the coefficients are generally higher for sectors in secondary industry than for those in tertiary industry. In addition, all coefficients display a downward trend. The water use multipliers vary widely among sectors. In secondary industry during the study period, the number of high water use sectors remained stable, the number of potentially high water use sectors increased and the number of general water use sectors decreased. A comprehensive analysis of the water use characteristics and industrial structure correlations could provide a reference for the optimal allocation of water resources.

scholarly journals ANALISIS PERANAN SEKTOR INDUSTRI TERHADAP PEREKONOMIAN JAWA TENGAH TAHUN 2000 DAN TAHUN 2004 (ANALISIS INPUT OUTPUT)

2008 ◽  
Vol 9 (2) ◽  
pp. 137
Author(s):  
Didit Purnomo ◽  
Devi Istiqomah
Keyword(s):  
Research Result ◽  
Analysis Data ◽  
Industrial Sector ◽  
Input Output ◽  
Analysis Model ◽  
Output Analysis ◽  
Central Java ◽  
Industrial Sectors ◽  
Year 2000

This research aim to analyse role of industrial sector to other economy sectors in Central Java and the role in Central Java economy. Research method, which applied that, is Input Output Analysis Model (Analysis I-O), accompanied by analysis of role of production sector and output creator of Central Java economy, backward and forward linkage index analysis, and key sector analysis. Data which used that is I-O table of Central Java year 2000 and year 2004 with classification 19 sector is obtained from Central Java BPS. Research result indicate that industrial sector role is seen enough dominant in Central Java economy in the year 2000 and 2004. From the result, author suggests government so that more give priority to industrial sectors that become key sector in Central Java in the year 2000 and 2004.

The technological transformation of Russia's industrial sectors: Difficulties and prospects

2020 ◽  
Vol 16 (9) ◽  
pp. 1674-1697
Author(s):  
O.P. Smirnova ◽  
A.O. Ponomareva
Keyword(s):  
Production Method ◽  
Industrial Sector ◽  
The State ◽  
Industrial Complex ◽  
Economic Activities ◽  
Resource Saving ◽  
Technological Transformation ◽  
Modern Approach ◽  
Industrial Enterprises ◽  
Industrial Sectors

Subject. The article focuses on contemporary trends in the industrial and socio-economic development of Russia during the technological transformation of its sectors. Objectives. The study is an attempt to analyze what opportunities and difficulties may arise for the development of the industrial sectors in Russia. We also examine the dynamics of key development indicators of the industrial sectors, point out inhibitors of their competitiveness. Methods. The methodological framework comprises general methods of systems, structural-functional and comprehensive approaches to analyzing economic phenomena. We applied graphic, economic-statistical methods of research, conventional methods of grouping, comparison and generalization, and the logic, systems and statistical analysis. Results. We display how industrial sectors develop over time by type of economic activities. The article provides the rationale for structural rearrangements and further innovation-driven development of the industries. We display that the Russian industries technologically depend om imported production technologies. We substantiate the renewal of assets and technologies at industrial enterprises, and retain and develop human capital. Conclusions and Relevance. Primarily, the Russian economy should be digitalized as a source of the long-term economic growth. Notably, industrial enterprises should replace their linear production method with that of the circular economy and implement resource-saving innovative technologies. The State evidently acts as the leading driver of technological retrofitting of the industrial sector. If the State holds the reasonable and appropriate industrial policy at the federal and regional levels and configure its tools to ensure the modern approach to developing the industries in a competitive fashion, the industrial complex will successfully transform into the innovative economy.

scholarly journals The Changes of Carbon Emission in China’s Industrial Sectors from 2002 to 2010: A Structural Decomposition Analysis and Input-Output Subsystem

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Guoxing Zhang ◽  
Mingxing Liu
Keyword(s):  
Carbon Emissions ◽  
Emission Intensity ◽  
Carbon Emission ◽  
Decomposition Analysis ◽  
Final Demand ◽  
Good Effect ◽  
Input Output ◽  
Carbon Emission Intensity ◽  
Industrial Sectors ◽  
Three Components

Based on 2002–2010 comparable price input-output tables, this paper first calculates the carbon emissions of China’s industrial sectors with three components by input-output subsystems; next, we decompose the three components into effect of carbon emission intensity, effect of social technology, and effect of final demand separately by structure decomposition analysis; at last, we analyze the contribution of every effect to the total emissions by sectors, thus finding the key sectors and key factors which induce the changes of carbon emissions in China’s industrial sectors. Our results show that in the latest 8 years five departments have gotten the greatest increase in the changes of carbon emissions compare with other departments and the effect of final demand is the key factor leading to the increase of industrial total carbon emissions. The decomposed effects show a decrease in carbon emission due to the changes of carbon emission intensity between 2002 and 2010 compensated by an increase in carbon emissions caused by the rise in final demand of industrial sectors. And social technological changes on the reduction of carbon emissions did not play a very good effect and need further improvement.

Effects of open innovation breadth on industrial innovation input–output relationships

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alejandro Germán Frank ◽  
Guilherme Brittes Benitez ◽  
Mateus Ferreira Lima ◽  
João Augusto Bonzanini Bernardi
Keyword(s):  
Open Innovation ◽  
Transaction Cost Economics ◽  
Secondary Data ◽  
Moderating Effects ◽  
Input Output ◽  
Industrial Innovation ◽  
Content Type ◽  
Innovation Activities ◽  
Industrial Sectors ◽  
The Relationship

PurposeOpen innovation breadth (OIB) considers the diversity of external collaboration partners for innovation. The authors investigate the moderating effect of OIB on the relationship between industrial innovation activities (innovation inputs) and industrial innovation results (innovation outputs).Design/methodology/approachThis study is based on secondary data from the Brazilian innovation survey, representing more than 30,000 innovative companies across 55 industrial sectors.FindingsThis study’s results show that OIB has different moderating effects regarding the several innovation input–output relationships. While OIB benefits some relationships, others are hampered by the diversity of collaboration partners.Originality/valueFew studies have addressed OIB at the macro level. Using the perspective of transaction cost economics (TCE), the authors discuss the contributions and limitations of OIB at the industry level.

scholarly journals The intersectoral linkage effects in Turkish economy: an application of static Leontief model

2009 ◽  
Vol 56 (3) ◽  
pp. 301-326
Author(s):  
Yay Gürkan ◽  
Serkan Keçeli
Keyword(s):  
Extraction Method ◽  
Manufacturing Industry ◽  
Value Added ◽  
The Other ◽  
Input Output ◽  
General Equilibrium Theory ◽  
Traditional Methods ◽  
Turkish Economy ◽  
Leontief Model ◽  
Linkage Effects

In this study, the leading activities of Turkish Economy whose changes in their structure of production, value-added and employment are interrelated with the other activities of the economy, are found by using the input-output model which is presented and called as an 'Application of the General Equilibrium Theory' by Leontief. For this purpose; firstly theoretical foundations of the input-output model are examined. After that, 59 activities of the 2002 Input-Output Table of the Turkish Economy are aggregated at 52 sectors and classified into three categories as Ricardo Sectors, High-Technology Sectors and Heckscher-Ohlin Sectors like Dasgupta and Chakraborty did for the Indian Economy in 2005. Then, the leading, key or strong activities of the economy that are more interrelated with other activities are calculated and found by the Static Leontief Model which is used by the Traditional Methods as the techniques to calculate the linkage effects like Chenery-Watanabe and Rasmussen methods to determine the sectors having the highest priority at investment policies according to the Hirschmanian Unbalanced Growth Model. As a result of the interpretation of Leontief Model, using the traditional methods of Chenery-Watanabe and Rasmussen while calculating the linkage effects rather than the hypothesis extraction methods like Strassert's Original Extraction Method, Cella's Extraction Method, Sonis' Pure Linkage Method and Dietzenbacher and Van der Linden's Method or a SAM (Social Accounting Method) model which does not omit the income generating process (distributing income among primary factors and households as a result of production) of a sector, in Turkey, the Heckscher-Ohlin Sectors mostly seen in the manufacturing industry which Kaldor refers as the engine of growth, are stronger than the other sectors.

scholarly journals Earnings Management Index, State Ownership, Industrial Sectors, and Timeliness of Financial Report in Indonesia

2020 ◽  
Vol 11 (2) ◽  
pp. 53
Author(s):  
Shindy Anisa Putri ◽  
Y Anni Aryani
Keyword(s):  
Earnings Management ◽  
Financial Reporting ◽  
Sampling Technique ◽  
Industrial Sector ◽  
State Ownership ◽  
Significant Relation ◽  
Factors Affecting ◽  
Financial Report ◽  
Industrial Sectors ◽  
Source Of Information

In recent years, IDX reported that a high number of enterprises’ financial reporting were overdue. Timeliness of financial report is necessary since it is used as the main source of information. This paper aims to investigate several factors affecting timeliness of financial report in Indonesia. Using the purposive sampling technique, this study gained 318 enterprises listed on IDX during 2015 until 2017. The result showed that earnings management index and industrial sector were significantly related to the timeliness of financial report. On the other hand, state ownership do not have significant relation with the timeliness of financial report.

scholarly journals Can Sectoral Re-allocation Explain the Jobless Growth? Empirical Evidence from Pakistan

2010 ◽  
Vol 49 (4II) ◽  
pp. 705-718 ◽  
Author(s):  
Azad Haider
Keyword(s):  
Structural Change ◽  
Empirical Evidence ◽  
Structural Changes ◽  
Manufacturing Sector ◽  
Industrial Sector ◽  
Foreign Technology ◽  
Industrial Sectors ◽  
Jobless Growth

The present paper discuss the nature of structural changes in employment to understand jobless growth in Pakistan for the period spanning over 1967-2008. In our work (elsewhere)1 analysing Pakistan at sectoral level to find underlying factors generating jobless growth, we found that Jobless growth in manufacturing sector was anticipated. Industrial sector has a significant importance in any economy across the glob. Recent changes in the use of capital—based foreign technology has resulted in substitution of labour with non-labour inputs such as capital. Employment shifts between industrial sectors are often witnessed as indicators of Structural change in an economy. In this paper we are more interested in the nature of structural change that took place in Pakistan economy over 1967-2008. We set to analyse four commonly used measures of sectoral reallocation proposed by Lilien (1982), Groshen and Potter (2003), Rissman (1997), and Aaronson, Rissman and Sullivan (2004). Findings of our work are suggesting that the economy of Pakistan underwent structural change during periods of recession and recovery. However, it does appear that structural changes were more pronounced at the time of 1969 recession than that of 1991 recession. A plausible explanation for this result might be significant shifts in employment from agriculture towards services sectors. We conclude, based on the evidence from our study, that sectoral reallocation is one of the major causes of jobless growth in Pakistan.

scholarly journals Tracing the Labor Absorption Rate in the Medium and Large Industrial Sectors

2020 ◽  
Vol 7 (2) ◽  
pp. 220
Author(s):  
Sitti Aisyah ◽  
Sulastri Sulastri
Keyword(s):  
Economic Growth ◽  
Minimum Wage ◽  
Absorption Rate ◽  
Industrial Sector ◽  
High Rate ◽  
Series Data ◽  
Business Units ◽  
South Sulawesi ◽  
Industrial Sectors ◽  
The Government

The high rate of population growth and the workforce raises the problem of job opportunities, because it involves various aspects both economic and non-economic. At the same time as massive industrialization, it is not automatically able to create adequate work. This study aims to analyze and determine the effect of the number of business units, the provincial minimum wage, and economic growth on the rate of labor absorption in the medium and large industrial sectors in South Sulawesi in the period 2010-2019. This research is expected to be one of the benchmarks for the government and private sector in paying attention to the absorption rate of labor in the industrial sector in South Sulawesi. The type of research used in this research is quantitative. The type of data used in this study is secondary data. The data used in this study are time series data in the years 2010-2019. The results of this study indicate that (1) the number of business units has a positive and significant effect on the rate of employment in the industrial sector in the province of South Sulawesi, (2) the provincial minimum wage has a negative and significant effect on the rate of employment in the medium and large industrial sector in South Sulawesi, (3) economic growth has a significant effect in a negative direction on employment in the medium and large industrial sectors in South Sulawesi. The government should design an industrialization policy direction that should be more inclusive, the incoming investment should be based on empowering local workers, reducing unemployment, creating more expansive employment opportunities and synergizing local economic development.Keywords: Economic Growth; Industry; Labor; Wages.

scholarly journals Sector-Based Entrepreneurial Capabilities and the Promise of Sector Studies in Entrepreneurship

2017 ◽  
Vol 42 (1) ◽  
pp. 3-23 ◽  
Author(s):  
Alfredo De Massis ◽  
Josip Kotlar ◽  
Mike Wright ◽  
Franz W. Kellermanns
Keyword(s):  
Industrial Sector ◽  
Current Understanding ◽  
Front Seat ◽  
Entrepreneurship Research ◽  
Entrepreneurial Opportunities ◽  
Industrial Sectors ◽  
Dynamic View ◽  
Entrepreneurship Theory

The influence of the industrial sector is a long-standing assumption in entrepreneurship studies, yet the mechanisms through which the industrial sector shapes entrepreneurial phenomena and the processes through which entrepreneurial actors interact with sectors to prospect, develop, and exploit entrepreneurial opportunities remain largely under-theorized and little understood. We critically reexamine the notion of “sector” in entrepreneurship research, advancing a more dynamic view of the industrial sectors captured by the concept of sector fluidity and identifying three approaches to move the sector more prominently onto the “front seat” of entrepreneurship theory and research. Defining sector-based entrepreneurial capabilities and examining their importance to advance current understanding of industry-specific determinants, processes, and outcomes of entrepreneurship, we set out an agenda for further research aimed at advancing sector studies in entrepreneurship.

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