This study identifies key industries within Korea's regional economies and evaluates their economic impacts from both demand-side and supply-side perspectives. Employing a network-based approach, the study uses PageRank centrality analysis to identify key industries by analyzing their economic connectivity within regional industrial networks. To measure the economic impacts of these identified key industries, the Partial Hypothetical Extraction Method is applied, assessing their contributions to production output and employment. The analysis covers Korea’s regional economies using Multi-Regional Input–Output tables for the years 2005, 2010, and 2015, providing an evaluation of regional economic structures and trends over time. Results indicate regional disparities: demand-side centrality focuses the prominent role of manufacturing industries and major cities, such as Seoul and Gyeonggi, whereas supply-side centrality emphasizes internal economic stability and industrial linkages within regions. The study insists on the need for differentiated regional policy approaches that consider both external connectivity and internal stability, offering insights for policymakers seeking balanced regional economic development.

According to the “48th Basic Survey on Overseas Business Activities” by Japan’s Ministry of Economy, Trade, and Industry, there were 25,034 local subsidiaries of Japanese enterprises overseas at the end of 2017, with 10,838 in manufacturing and 14,196 in non-manufacturing sectors. The number of Japanese enterprises operating in Southeast Asia has continued to increase, and the status of Japanese enterprises’ expansion in Southeast Asia differs between countries. In this study, we use data from Japanese enterprises in the “2018 Directory of Japanese Enterprises Expanding Overseas by country” and the OECD (Organisation for Economic Co-operation and Development) inter-country input–output (ICIO) tables to reconstruct the ICIO tables, distinguishing between Japanese and non-Japanese enterprises. We examine the variation in the presence of Japanese enterprises across six Southeast Asian countries by industry, explore the differences in their connections with Japan, and analyze how the effects of new entries and exits of Japanese enterprises in 2017 vary.

This study examines the structural dependence of Bangladesh’s textile and clothing industry (TCI) within the national production system and benchmark

This study examines the structural dependence of Bangladesh’s textile and clothing industry (TCI) within the national production system and benchmarks it against Vietnam and Pakistan. Using an input–output framework, the analysis quantifies economy-wide losses in total output and gross value added (GVA) when the sector’s inter-industry linkages are hypothetically removed and simulates partial disruptions to assess short-run vulnerability. Under complete extraction, Bangladesh experiences the largest systemic losses—output declines by 18% and GVA by 13%—indicating deep intersectoral reliance on the TCI. Vietnam and Pakistan show smaller but meaningful impacts due to greater industrial diversification and upstream reliance on agriculture-based inputs, respectively. Backward dependence is strongest in Bangladesh, while Vietnam’s limited forward dependence reflects its export-oriented structure; Pakistan’s linkages remain concentrated upstream in raw-material supply. A 20% contraction scenario further highlights Bangladesh’s vulnerability compared to the other two countries, underscoring the TCI’s central role in propagating output and value-added across the economy. The comparative results indicate differentiated policy priorities: strengthening domestic intermediate textile production and supply-chain efficiency in Bangladesh; increasing domestic supplier participation in Vietnam’s export networks; and modernizing upstream input industries in Pakistan. JEL Classification: C67, D57, F14, O11, R15

The rise of cultural industry is in the part facilitated by the rise of leisure and entertainment in the advanced industrialized economies. Recently western countries have been attaching importance to cultural industry and developing it as one of the growth strategies. Japan has also made numerous efforts to its cultural industry. Kyoto prefecture, as the ancient capital of Japan, is famous for its traditional culture, promoting the development of its cultural industry positively in these years. This paper is to analyze the impact and development status of Kyoto’s cultural industry, based on the compilation of the 2015 Input-output table of Kyoto prefecture with 110 sectors. First, the writer modified the 2015 IO table of Kyoto prefecture with 105 sectors to 110 sectors IO table. Second, some important IO analysis indexes derived from the matrix such as specialization coefficient, influence coefficient and sensitivity coefficient to show the characteristics of Kyoto’s cultural industry. Third, the writer compares the model of endogenization of consumption expenditure of household with the basic model of equivalence of the outputs, in order to analyze the impact on the more complex economic circle of cultural industry.

Bangladesh’s textile and clothing sector is central to the country’s export-led industrialisation, yet the strong growth in export earnings has not been matched by clear evidence of domestic value creation. Although Bangladesh has become one of the world’s leading apparel exporters, concerns persist that its integration into global value chains (GVCs) is characterised by limited domestic value gain and dependence on imported intermediate goods. To address these concerns, this study conducts a destination-specific decomposition of Bangladesh’s textile exports using the Asian Development Bank Multi-Regional Input–Output (ADB MRIO) table over the period 2007–2023. By disaggregating domestic value added (DVA) into domestic value absorbed abroad (DAVAX), re-exported domestic value (REX), and returned domestic value (REF), the analysis reveals marked differences in value-capture performance—the domestic income Bangladesh retains per unit of exports, indicated primarily by DAVAX—across major export partners. While export values expanded steadily over the period, domestic value retention stagnated or declined in most destinations, and reliance on foreign intermediate goods intensified. These patterns reflect the functional roles destinations play within value chains: North America absorbs Bangladeshi value directly as final demand (high DAVAX), Europe increasingly channels it through re-export networks (rising REX, lower DAVAX), and Asia–Pacific exhibits mixed, unstable pathways. In typological terms, these correspond to three functional destination types: final-demand markets, re-export and processing hubs, and mixed destinations—categories to which each partner economy can be assigned based on its DAVAX–REX signature. These findings highlight that Bangladesh’s export growth has not translated into proportional domestic income gains, underscoring the need for stronger backward linkages and deeper domestic production capabilities to support meaningful industrial upgrading.