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Since it is difficult for researchers to access data for the North Korean economy, they typically choose a proxy economy for estimating the economic impact of the unification of the two Koreas using a computational general equilibrium (CGE). This paper aims to identify the best proxy economy for North Korea out of the 140 economies (countries) in the Global Trade Analysis Project (GTAP) database version 9.1, which was published in mid-2015. (Ed- if your study aim is ‘to identify the best proxy economy for North Korea’, then you must state your study finding here in the abstract, and also in the conclusion, i.e., Romania) This paper evaluates the input-output (IO) tables for the North Korean economy in existing studies. Comparing the coefficients for North Korea in existing studies with those of the countries selected for this paper, substantial differences were found, especially for the services sector. This casts some doubt on the IO tables in the existing studies on the North Korean economy.

The aim of this paper is to analyze and compare the performance of the construction sector in Turkey and selected European Union (EU) countries using input‐output (IO) tables for the years 1998 and 2002.

IO tables are used to analyze and compare the construction sector. First the input‐output analysis and the construction sector are briefly introduced. Then, the data and methodology are specified. A set of indicators obtained from the data is used for the comparative analysis.

The construction sector of the selected 13 countries is examined in terms of Gross National Product (GNP) and National Income (NI) shares; direct and total construction backward and forward linkage indicators and direct and total construction inputs from manufacturing and services reflecting the technologies used in construction. The key findings are pointed out in the conclusion.

The lack of data from Turkey relating to recent years and incompatibility of new and old data limit this study's scope to the two years.

The concept of using IO analysis for comparing the construction sector has been around for a considerable period of time. This paper has an importance for comparing the construction sector in Turkey and some selected EU countries, being the first study in that field in Turkey, and is therefore of direct importance for the Turkish construction sector.

The purpose of this paper is to provide a better understanding of the driving forces and structural changes of China as a market provider for Korea. This paper gives the answers for the following questions: How do China’s final demands trigger the growth of its imports from Korea? And what’s the impact of China’s final demands on the import in different industries?

Based on the Multi-Regional Input-Output model and World Input-Output Table database, this paper constructs the non-competitive imports input-output (IO) table of China to Korea. According to this table, we can calculate the induced imports coefficient and comprehensive induced import coefficients of China’s four final demands for imports from Korea in the 56 industries in China.

Among the four driving forces, the strongest one is changes in inventories and valuables. The impact of final consumption expenditure and fixed capital formation is much lower than that of changes in inventories and valuables, but they have a broader impact for the 56 industries. This paper finds out the China’s import induction of the final demands to Korea peaked in 2005 and 2010 and decreased greatly in 2014, so the position of China as market provider for Korea will no longer rise substantially, contrarily it will be in a steady state.

First, this paper constructs the non-competitive IO table to analyze the market provider issues between two countries and provides practical ways and methods for studies on the issues of imports and market provider. Second, this paper investigates the different roles of four final demands on driving force of China as market provider for Korea and the structural changes of China as a market provider for Korea among 56 industries from 2000 to 2014.

This paper discusses labor value and the rate of exploitation in the global economy using international input–output tables. Labor value is defined as the multiplication of the labor coefficient and Leontief inverse. Exploitation means that the amount of labor embodied in the received wage commodity is less than the amount of the labor actually sold. Therefore, the Fundamental Marxian Theorem, which states that the conditions for the existence of profit and those for the existence of exploitation are the same, should be modified to stipulate that the existence of profit requires exploitation in at least one country. In other words, exploitation may not exist in some countries (non-exploitation). In the context of international input–output tables, we introduce the concept of global labor value, which is the vector of embodied labor in various countries. In the empirical study using an international input–output table, we find that (1) there are non-exploitation cases in several countries. (2) During the time period 1995–2009, the rate of exploitation increased in Asian countries, namely China, Japan, Korea, and Taiwan, whereas the advanced countries other than Asia faced a decreased rate of exploitation.

With the rise of foreign direct investment and global value chain, firms organize their plant allocation across countries to take advantage of production cost reduction opportunities and market access. The purpose of this paper is to investigate the production-supply strategies of Korean firms over foreign and domestic affiliates, using industrial proximity between Korean parent firms and their affiliates.

In this paper first, using the Survey of Business Activities provided by Statistics Korea, the authors build a matching data set between a parent firm and each affiliate both in domestic and foreign countries. Second, the authors define their vertical relationship based on the input requirement coefficients of the Input-Output table (IO table). Furthermore, using the same IO table, the authors define the proximity for the pairs of the parent firm and the affiliates in domestic and foreign markets. Then, the authors test the relationship between the parent firm’s choice for foreign affiliate and their proximity index.

The main result shows that the stronger the industrial proximity between a final good producing firm and its input supplying affiliate is, the more likely the cross-border vertical integration is to be observed than the domestic vertical integration. Also, the authors find that the firms whose production structure accords the main result outperform and conduct more self-R&D and less R&D on trust than the other firms.

The finding is novel and original in a sense that the authors showed for the first time at firm-level microdata evidence that there is an optimal pattern of organizing supply chains within a multinational firm.

Discussion of unification was for several decades focused on the costs rather than the benefits for Korea, until reports emphasizing the latter were published by Goldman Sachs (2009) and various Korean think tanks over the past four to five years. Although these studies can be evaluated positively in pointing out the benefits of unification rather than the concerns about the costs, several questions can be raised. This paper tries to evaluate the quality and credibility of existing studies and suggests a new approach for estimating the impact of unification. It proposes a computational general equilibrium (CGE) model to be based on the social accounting matrix (SAM) and input-output (IO) table for the North Korean economy, in order to produce more reliable estimates of the benefits and costs of unification and the impact of various cooperative activities between the two Koreas.

The purpose of this paper is to examine the likely economy-wide impacts of the complete shutdown of the motor vehicle industry on output and employment in Australia using the latest input-output (IO) table (2009-2010).

Both supply- and demand-driven IO models are employed to determine the extent, and pattern, of the resulting output and job losses in upstream and downstream industries. An analysis of the first-order field of influence is also conducted to observe how output multipliers in other sectors respond to changes in the self-use-input-requirement of the professional, scientific and technical services (PSTS) industry.

The PSTS industry (with a significant research and development (R & D) component and the highest forward linkage index) would be hardest hit with the collapse of the motor vehicle industry.

This paper identifies a number of industries that are more likely to be heavily influenced by the resulting lack of R & D in the PSTS industry in the near future. Unless more funding is allocated to other research and technology-intensive industries, the extinction of the motor vehicle industry, coupled with the recent budgetary cuts for strategic organisations such as the Commonwealth Scientific and Industrial Research Organisation, can reduce the positive spillover effects of R & D activities on the Australian economy.

This is the first study to examine the effects of the shutdown of the motor vehicle industry on employment in Australia. The results also have broader implications for other developed countries that have declining motor vehicle industries. The findings suggest that the global decline in the motor vehicle industry can adversely affect investment in R & D in upstream and downstream industries. More generally, the results suggest that the shift in motor vehicle production to developing countries, will contribute to increased R & D intensity in them at the expense of developed countries.

In recent years, fast urban expansion in China has stimulated rapid energy consumption growth and increased environmental pollution. Therefore, it is important to utilize clean and renewable energy in district heating for the sustainable urban development. This study aimed to investigate the environmental and economic impacts of one hot dry rock (HDR) geothermal energy-based heating system in a life cycle framework.

By using the input–output-based life cycle analysis model, the energy consumption, CO₂ emission and other pollutants of the HDR-based heating system were evaluated and then compared with those of other four heating systems based on burning coal or natural gas. The life cycle costs of the HDR-based heating system were also analyzed.

The results showed that using HDR geothermal energy for heating can significantly reduce fossil fuel consumption, CO₂ emission as well as environmental pollution, and its life cycle costs are also competitive.

This study not only evaluated the environmental and economic impacts of the HDR-based heating system in a life cycle framework but also provided a methodological life cycle assessment framework that can estimate both economic and environmental benefits, which can be used in policy making for China’s urban development.

The purpose of this paper is to demonstrate that higher tariffs under protectionism will have significant indirect impact through industrial forward and backward linkages, causing greater economic losses to tariff-imposing economies than to exporting countries.

The authors use partial equilibrium analysis based on unique multi-regional input-output (IO) data in measuring the second-round spillover effects of higher tariffs, also investigating the scenario of plausible substitutability across import sources as well as sectors based on historical import intensity data.

Higher tariffs do not only have a direct impact, but also a significant indirect impact—through forward and backward linkages. Indirect effects can be extensive across economies and sectors—both in forward and backward linkages such as in transport—when value chains are longer and more complex. When possible substitution effects between different import sources and sectors are considered, negative forward linkage effects can be smaller, while negative backward linkage effects become more pronounced. Nevertheless, both negative effects are still found to be much bigger in indirect impacts compared with direct impacts.

This implies that higher tariffs, including administrative trade measures such as anti-dumping duties and countervailing duties could ironically entail rather greater negative impact on the tariff-imposing importing economies by damaging their exports of domestic sectors using the targeted imports as intermediate inputs, which could be severe if the importing sector has a long value chain in particular through deep forward linkages.

This paper uses unique multi-regional IO data covering 45 economies’ 35 sectors in analyzing the second-round spillover effects across countries and sectors and employs comparative statics under different scenarios.

This study analyzes the dynamic impact of the COVID-19 pandemic on consumption among Ghanaian households, by identifying the existing consumption inequalities in the households according to the different age categories of the household head and changes in consumption patterns among the household constituents. In particular, the study examines the effects of the coronavirus pandemic (COVID-19) on household consumption and the differing impact on the different age categories of the household.

The research methodology of the study is based on the input–output analysis of the Ghanaian economy during the years 2015 and 2021 by using data on household consumption disaggregated by age. Economic impact is estimated through multi-sector modeling, specifically a demand model expressed based on a money metric measure valued in Ghanaian cedis. This model allows us to obtain the direct impact of the COVID-19 pandemic on the manufacturing sector, professional, scientific and technical activities, Water supply, sewerage, and waste management within Ghanaian households. The model also observed a negative impact of the COVID-19 pandemic on the public sector works and defense, and SSNIT sectors of the Ghanaian economy.

The findings of the study revealed that for the category of age group between the ages of 15–29 years, the consumption of manufacturing products experienced an increase of 6.20% whiles that of electricity consumption, air conditioning and heating reduced by 2.26% for the period under consideration. However, public sector works and defense, and SSNIT experienced a decline by 8.24%. For the age group between 30 and 45 years, the highest and most positive percentage change in household consumption was noted to be professional, scientific and technical activities (6.20%), Water supply, sewerage, waste management (5.98%), as well as manufacturing (5.65%). However, there was a decline in the consumption level of education by Ghanaian households during the lockdown especially among people within the age group of 46–65 years. There was a decline of 6.11% for the administrative and support services and there was also a decline the services of defense and SSNIT service consumption by 2.10%. For the final age group of 66 years and above, there was an increase of 6.94% in the consumption of such essential utilities in Ghana between 2015 and 2021. The demand for education however showed a drastic reduction of 8.1% over the study period due to this category of age group with majority of them retiring from work.

The findings from this study will help in understanding the effects caused by the pandemic on household consumption and the differing impact on different age category of the household, especially on young households. This can potentially shape future policy by especially helping policymakers to device a more targeted social safety-net policies not only to speed-up recovery, but also to mitigate the negative impact of any future outbreak of a pandemic on household consumption and limit the age gaps in consumptions. However, the study does not consider the income levels of the different age groups. This becomes a limitation of the study and can be further explored in future studies.

This study measures the impact of a global health pandemic on the consumption of all households, with its accompanying impact of this variation. It can be noted that analyzing household consumption and quantifying the positive and negative impact on different age category of the household and the different sectors of the Ghanaian economy add to the limited knowledge of the impact of the COVID-19 pandemic at the household level.