Conditions for some balances of economic system: An input–output analysis using the spectral theory of nonnegative matrices

2010 ◽  
Vol 59 (3) ◽  
pp. 330-342 ◽  
Author(s):  
Lisheng Zeng
Water ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 2351
Author(s):  
Xuefeng Li ◽  
Xiuli Liu

Wastewater propagation chains (WPCs) measure inter-sector average propagation lengths (APL) of wastewater discharge. To achieve sustainable wastewater management, one needs to understand the propagation mechanisms by identifying WPCs at a national level over time. However, the traditional model of identifying WPCs is prone to retaining APLs with lower values but larger wastewater discharge intensities, ignoring many linkages whereby intensities are less than a preset threshold. Nevertheless, these overlooked linkages are valuable in understanding wastewater propagation mechanisms. This study proposed a new model coupled input-output analysis with the graphical theory, called the average propagation lengths-hub covariance graph (APL-HCG). This model can investigate WPCs where the closeness of sector linkages exceeds the preset thresholds. Furthermore, it is capable of retaining linkages for identifying hub wastewater propagation chains (HWPCs). Based on APL-HCG, the resultant HWPCs are decomposed as separated sub-chains which are basically composed of linkages among certain significant sectors belonging to the secondary industry or the tertiary industry. Scenario analyses show that HWPCs are effective in reducing wastewater discharge in the national economic system. The total wastewater discharge would decrease by 1.36%, 2.53%, 2.46%, and 2.11% if we reduced 10% of the final demand of all sectors in HWPCs in 2002, 2007, 2012, and 2017. The APL-HCG model outperforms the traditional model on WPCs by 0.14%, 1.61%, 0.47%, and 0.10%, respectively. The APL-HCG model is 0.21%, 0.68%, 0.70%, and 0.35% better than the scenario of random sampling with the number of sectors equal to HWPCs, respectively. Certain policy implications were provided to reduce wastewater effectively at the national level.


2018 ◽  
Vol 10 (12) ◽  
pp. 4545 ◽  
Author(s):  
Hyeong-Woo Kim ◽  
Liang Dong ◽  
Seok Jung ◽  
Hung-Suck Park

The eco-industrial park (EIP), which aims to minimize by-product and unused energy via reuse and recycling within the industrial complex, offers an innovative pathway to realize regional eco-industrial development. As an environmental, as well as business, innovation, the EIP enables changing the perception of industries and create new business values via the whole supply chain, but such evidences have been less reported to date. As one of the world famous promoter on EIPs, the Republic of Korea (ROK) initiated a national EIP project to enhance its competitiveness and solve environmental problems. While the existing literature reviewed and highlighted its economic outcomes in terms of direct performances of firms within the project, the indirect impacts on the supply chain of national economy were less investigated. Within this circumstance, this study performed a first attempt to apply an input-output analysis (IOA) to investigate the effects of the EIP project on the whole economic system of Korea, via an exogenous specification of the EIP sector in the input-output tables (IOTs). General economic effects in terms of value-added change, employment generation, as well as specific effects like the inducement effects and effects of supply shortage and price pervasiveness were evaluated based on the IOA approach (including demand-driven, supply-driven, and Leontief price models). Results highlighted that, from the supply chain perspective, implementing the EIP project made production and value-added grow by around 1264 billion KRW and 272 billion KRW, respectively (with a unit induction coefficient of 1.6201 and 0.3489 for production and value-added). While generating a direct employment around 1000, an indirect employment was also created of over 5000 persons in the whole supply chain (with an employment inducement effect of 6.4512 persons per 1 billion KRW investment). The production shortage cost from 1 KRW of supply failure is 1.1230 KRW. In summary, EIP was proved to be not environmentally friendly, but also a driver to improve the overall economic performance of upstream and downstream industries in the whole supply chain. As a first attempt to link IOA with EIP, the results of this paper are expected to enlighten policy-makers to forward continued improvement on EIP promotion and combine the EIP idea within national economic system reform and planning.


1980 ◽  
Vol 19 (3) ◽  
pp. 247-249
Author(s):  
A. R. Kemal

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.


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