Journal of Economic Structures最新文献

Manufacturing for export is gradually becoming the main pillar of economic growth in many developing countries, including Vietnam. Since 1986, Vietnam has adopted an open economic policy and promoted trade activities. Therefore, Vietnam's exports have significantly increased and contributed to economic development. The benefits of exports are undeniable, but Vietnam also faces serious environmental problems caused by these activities. This paper analyzes the impact of Vietnam's export activities on economics and the environment through comparison between carbon emissions and value-added embodied in exports using an input-output model, then provides some recommendations to adjust Vietnam's export strategy in the future. The main findings indicate that carbon dioxide emissions (CO₂) embodied in exports have increased from 2006 to 2015. The carbon intensity of exports increases, while the value-added intensity decreases. As compared with production for the domestic market, production for domestic demand creates faster value-added and slower carbon emissions than production for exports. This study suggests that Vietnam should reform its export structure alongside technological improvements and other policy adjustments to curb Vietnam's growing CO₂ emissions.

Ghana shows remarkable differences in employment and welfare between the southern and northern regions. The promotion of policy focus on the development of the northern regions requires the elaboration of specific databases describing the regional economies. Hence, this work outlines the construction of a Social Accounting Matrix (SAM) for Ghana for the year 2015 with a high disaggregation of sectors, household income groups and education levels across 10 administrative regions. Linear multisectoral models have been applied to this SAM to estimate socio-economic impacts of potential final demand policies down to a regional level in the Ghanaian economy. Further on, the structural path analysis is used to investigate the role played by different agriculture commodities in transmitting income to different types of households. The results allow for an identification of the most suitable sectors to be promoted due to their ability to generate the highest increases in output, employment and value added in the rest of the economy, as well as those with a significant impact on household income generation. As a result, the primary sector will play a key role in the economic and employment growth of the country. Notably, sorghum and millet, pulses, tobacco, cotton and fibres can be considered favourable crops for development in the Northern region.

The Kumamoto earthquake which occurred in April 2016 measured twice the maximum seismic intensity of 7, causing serious damage to the Kumamoto Prefecture. This study mainly focuses on the demand side of expenditures, estimating the monthly expenditures for 1 year before and after the earthquake. Then, using the multi-regional input-output table for Kumamoto Prefecture, we analyzes the ripple effects by region of the changes in monthly expenditures due to the earthquake. Expenditures in the prefecture in fiscal year 2016 by month decreased by a cumulative total of 592 billion yen because of the earthquake, which generated a value-added loss of 348 billion yen. On the other hand, expenditures increased by a cumulative total of 648 billion yen caused by reconstruction demand, inducing 375 billion yen in value-added gains. Thus, net increase of the value-added of 27 billion yen occupied 10.9% of net increase of the gross prefectural domestic product between fiscal years 2015-2016. The fluctuation of expenditures, induced production, and induced value-added caused by the earthquake is huge. Although the damage to the prefectural economy was severe, reconstruction demand exceeded it, resulting in a quick recovery. However, at the same time, there was a confirmed delay in restoration in industries that were almost unrelated to reconstruction and in regions with a heavy concentration of damage.

Emerging in the twenty-first century, Network Science provides practical measures to interpret a system's interactions between the components and their links. Literature has focused on countries' interconnections on the final goods, but its application on the value-added from a network perspective in trade is still imitated. This paper applies network science properties and a multi-regional input-output analysis by using the UNCTAD-Eora Global Value Chain Database on the Transport Equipment value added on 2017 to unwrap the specific structural characteristics of the industry. Results show that the industry is highly centralized. The center of the network is dominated by developed countries, mainly from Europe, the United States, and Japan. Emerging countries such as China, Mexico, Thailand, and Poland also have an important position. In addition, the structure reveals two sub-hubs located in East Europe and North America. By extending to community detection, the network consists of three different communities led by Germany, the United States, and the United Kingdom, associated with more significant value-added flows. The study concludes that flows are not always consistent with the economy's geographical location as usually final goods analysis suggests, and highlight the need to continue using the complex network to reveal the world trade structure.

This paper examines the spillover effects transmission mechanism between oil prices, oil price uncertainty and oil price volatility on labour market in Greece, using static and dynamic quantile connectedness methodology (Diebold and Yilmaz Diebold and Yilmaz, Int J Forecast 28:57-66, 2012; Ando et al. Ando T, Greenwood-Nimmo N, Shin Y (2018) 'Quantile connectedness: Modelling tail behavior in the topology of financial networks', Working Paper. https://ssrn.com/abstract=3164772.). There is empirical evidence that the oil price variable is the most influential node of the energy variables on hirings and firings, suggesting the endogeneity of the labour market variables. Rolling estimation analysis based on the quantile VAR to capture the volatility spillovers across the whole conditional distribution shows a large variation of the total connectedness index, which is responsive to exogenous adverse and beneficial shocks. Further, our results point to a strong effect due to the COVID-19 pandemic and the state intervention to sustain the pandemic on the labour market. Overall, the analysis reveals a substantial higher time-varying connectedness of the system at the tails of the distribution, indicating that changes in energy markets asymmetrically affect the Greek labour market in recessionary and flourishing states of the economy, rather than normal times.

The objective of this study is to determine how internet access affects social capital in Indonesia's community, based on the data from the fifth wave of the Indonesian Family Life Survey (IFLS) with the instrumental variable (IV) method. The results showed that the use of the Internet plays a significant role in strengthening social capital in Indonesia, especially for male heads of households that have a relationship with neighbors with strong internal cohesion and mutual trust. Internet users in Java and Bali are more affectial in strengthening social capital compared to users outside the islands located in eastern Indonesia. This disparity is because most Indonesian internet users live in the western part of the country. Furthermore, there is a development disparity in regard to internet infrastructure and internet connection service availability throughout the country.