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This chapter estimates heterogeneous productivity growth and spatial spillovers through industrial linkages in the United States and China from 1981 to 2010. The authors employ a spatial Durbin stochastic frontier model and estimates with a spatial weight matrix based on inter-country input–output linkages to describe the spatial interdependencies in technology. The authors estimate productivity growth and spillovers at the industry level using the World KLEMS database. The spillovers of factor inputs and productivity growth are decomposed into domestic and international effects. Most of the spillover effects are found to be significant and the spillovers of productivity growth offered and received provide detailed information reflecting interdependence of the industries in the global value chain (GVC). The authors use this model to evaluate the impact of a US–Sino decoupling of trade links based on simulations of four scenarios of the reductions in bilateral intermediate trade. Their estimation results and their simulations are as mentioned based on date that ends in 2010, as this is the only KLEMS data available for these countries at this level of industrial disaggregation. As the GVC linkages between the United States and China have expanded since the end of their sample period their results can be viewed as informative in their own right for this period as well as possible lower bounds on the extent of the spillovers generated by an expanding GVC.

This article is concerned with the role of theory in explaining the inter‐industry variation of vertical integration (VI). Why, for example, is the world aluminium industry highly integrated (Stukey, 1983) whereas the tin industry is not (Hennart, 1982)? The article is not concerned with explaining differences in the average level of VI across countries, although these are undoubtedly significant (Chandler and Daeins, 1980).

This paper aims to argue that management capability is a complement to ownership advantage. Ownership advantage determines the potential of the firm, and management capability governs the fulfilment of this potential through overcoming barriers to growth. The economic theory of the firm is central to the theory of the multinational enterprise (MNE).

Multinationals play an important role in coordinating the international division of labour through internal markets. The paper reviews the economic principles that underlie this view. The analysis is applied to a variety of issues, including out-sourcing, geographical dispersion of production and regional specialisation in marketing.

The economic theory of the firm is central to the theory of the MNE. Recent literature on multinationals, however, makes only limited reference to the economic theory of the firm. Optimal internalisation equates marginal benefits and costs. The benefits of internalisation stem mainly from the difficulties of licensing proprietary knowledge, reflecting the view that MNEs possess an “ownership” or “firm-specific” advantage. The costs of internalisation, it is argued, reflect managerial capability, and in particular the capability to manage a large firm.

The paper demonstrates the value of the economic theory of the firm in analysing the strategy, structure and size of multinational firms. It restates classic economic principles and applies them to contemporary issues, including the performance and survival of multinational firms in current times.

To help investors find an investment policy with strong competitiveness, the purpose of this paper is to construct a multi-period investment decision model with practicality and superior performance.

The paper uses a suitable multi-period risk measure to construct a multi-period portfolio selection model, where target returns at intermediate periods and market frictions are taken into account simultaneously. An efficient scenario tree generation approach is proposed in order to transform the complex multi-period portfolio selection problem into a tractable one.

Numerical results show the new scenario tree generation algorithms are stable and can further reduce the tree size. With the scenario tree generated by the new scenario tree generation approach, the optimal investment strategy obtained under the multi-period investment decision model has more superior performance and robustness than the corresponding optimal investment strategy obtained under the single period investment model or the multi-period investment model only paying attention to the terminal cash flow.

The new risk measure and multi-period investment decision models can stimulate readers to find even better models and to efficiently solve realistic multi-period portfolio selection problems.

The empirical results show the superior performance and robustness of optimal investment strategy obtained with the new models. What's more important, the empirical analyses tell readers how different market frictions affect the performance of optimal portfolios, which can guide them to efficiently solve real multi-period investment decision problems in practice.

The paper first derives the concrete structure of the time consistent generalized convex multi-period risk measure, then constructs a multi-period portfolio selection model based on the new multi-period risk measure, and proposes a new extremum scenario tree generation algorithm. The authors construct a realistic multi-period investment decision model. Furthermore, using the proposed scenario tree generation algorithm, the authors transform the established stochastic investment decision model into a deterministic optimization problem, which can provide optimal investment decisions with robustness and superior performance.

The recent COVID-19 has obliged governments to enact large-scale policies to contain it. A topic of economic debate is the quantification of the impact that these policies can create in the economy, with the aim of activating regulatory mechanisms to minimize this impact. In this vein, this study aims to propose a quantification of the effects of the Italian government policy that blocks nonessential production activities.

The authors use a multisectoral extended inoperability model on the social accounting matrix of Italy. The analysis identifies the pandemic’s impact on outputs, endogenous demands, value-added and disposable incomes of institutional sectors.

The construction and real estate sectors revealed a significant contraction followed by the retail trade and hotel and catering services sectors. The output contraction further impacts the value-added generation, disposable income and final demand components.

The current pandemic is alleged to have a greater impact than the epidemics of the past century, considering the present dimension of the world economy and the increasing interconnections between industries and institutions. In this scenario, it is challenging to safeguard not only human health and life but also the economy. Hence, there is a need to establish a trade-off between health and economics; and in this regard, the current study empirically quantifies the impact of health measures on the economy. The findings of this study help identify the sectors that are more prone to disaster effects and also present the structure of income circular flow in the Italian economy.

The purpose of this paper is to review the key analytical principles of internalisation theory as a general theory of the multinational enterprise (MNE). It illustrates the vitality, relevance and flexibility of the approach in explaining the continued evolution of the MNE. As a grounded social science theory, it provides, in combination with history and economic geography, satisfying and novel explanations of the key phenomena of the modern globalising economy.

This paper examines the origins and principles of internalisation theory as the foundation theory of the MNE. It considers internalisation theory in the context of current and mainstream theories and concepts in the field of international business.

Internalisation theory is equally valid for the MNEs of yesteryear as it is for those today. The theory continues to have strong explanatory power for MNE activity. Current research areas, such as multiple embeddedness, fine-slicing of the value chain, etc., and other theories, such as dynamic capabilities and the resource-based view, either are subsets of internalisation and thus explained by the theory, or contain weakness and/or inconsistencies not found in internalisation theory.

This paper coherently synthesises internalisation theory, its origins and evolution. It shows how commonly held and current concepts and theories are related to internalisation theory or have weaknesses, thus making internalisation theory a superior theory to explain the MNE, and identifies potential applications of the theory to novel research areas in the field of international business.

In recent decades, capitalist globalization has entailed a new international division of labor with the relocation of some stages of manufacturing production from the Center to the Periphery through the Global value chains (GVCs). This new pattern of global production is marked by wide income disparities between the different regions of the world economy, accentuated by value transfers hidden within both traditional and GVCs international trade. The chapter presents a theoretical model based on a Marxian approach for the accounting of unequal exchange in international trade in value-added, resulting from the decoupling of value-produced and value-captured inside and outside GVCs. The empirical results show the ongoing relevance of unequal exchange in contemporary capitalism as one of the fundamental causes of disparities in income and economic development among the countries of the global economy.

Whole building life cycle assessment (WBLCA) is a key methodology to reduce the environmental impacts in the building sector. Research studies usually face challenges in presenting comprehensive LCA results due to the complexity of assessments at the building level. There is a dearth of methods for the systematic evaluation and optimization of the WBLCA performance at the design stage. The study aims to develop a design optimization framework based on the proposed WBLCA method to evaluate and improve the environmental performance at the building level.

The WBLCA development method is proposed with detailed processes based on the EN 15978 standard. The environmental product declaration (EPD) methods were adopted to ensure the WBLCA is comprehensive and reliable. Building information modeling (BIM) was used to ensure the building materials and assembly contributions are accurate and provide dynamic material updates for the design optimization framework. Furthermore, the interactive BIM-LCA calculation processes were demonstrated for measuring the environmental impacts of design upgrades. The TOPSIS-based LCA results normalization was selected to conduct the comparisons of various building design upgrades.

The case study conducted for a residential building showed that the material embodied impacts and the operational energy use impacts are the two critical factors that contribute 60–90% of the total environmental impacts and resource uses. Concrete and wood are the main material types accounting for an average of 65% of the material embodied impacts. The air and water heating for the house are the main energy factors, as these account for over 80% of the operational energy use. Based on the original WBLCA results, two scenarios were established to improve building performance through the design optimization framework.

The LCA results show that the two upgraded building designs create an average of 5% reduction compared with the original building design and improving the thermal performance of the house with more insulation materials does not always reduce the WBLCA results. The proposed WBLCA method can be used to compare the building-level environmental performances with the similar building types. The proposed framework can be used to support building designers to effectively improve the WBLCA performance.

Recently published studies stress the importance of trade in intermediate goods. The literature on determinants of trade, however, have largely focused on the sources of comparative advantage in determining aggregate trade flows rather than trade in intermediate goods. The purpose of this paper is to examine the role of institutional quality and trade costs to explain the determinants of trade in intermediates.

The simple model is based on the model of comparative advantage in the gravity framework used by Eaton and Kortum (2002) and Chor (2010) to relate trade flows of intermediate goods to institutional parameters, factor endowments and geography. The empirical tests use a data set containing 172 countries and 17 industries spanning ten years.

The results confirm the theoretical prediction that a country with higher institutional quality has a comparative advantage in institution-intensive goods and trade costs have a negative effect on trade. The author further finds that these effects are stronger in share of trade in intermediate goods vis-à-vis final goods.

To highlight the distinct nature of trade in intermediate goods, the author separates industry trade flows as intermediate input trade and final goods (consumption goods) trade to compare the importance of different sources of comparative advantage among different types of trade flows. Unlike Eaton and Kortum (2002) and Chor (2010) who used cross-sectional data for final goods trade, the ten-year industry-level panel data are used to compare the relative importance of institutions and geography as determinants in trade in intermediate goods compared to final goods trade and capture the macroeconomic time variant factors as well as industry–country pair characteristics. A significant caveat in gravity regression is that an empirical finding may often be driven by omitted variables. Inclusion of a set of country variables such as GDP, production costs and institutional level may still allow omitted variables to bias the estimation. To avoid this problem, the author includes a fixed effect of exporter and importer as well as industry and year, instead of a set of country characteristics.

This paper aims to exploit a new trade database to explore the extent to which trade, and the industrial division of labor which it represents, is regional in nature.

The analysis focuses especially on intermediates trade, in three key regions – the EU, NAFTA and ASEAN+3 – which together represent 78 percent of global trade.

The results indicate that levels of regional integration in trade and changes in that integration vary by region and by direction of flow. Notably, the EU has higher levels of intra‐regional trade than the other two. These results vary by technology, with high‐tech trade less regionally biased than others.

Trade data has been little used in the debate on the regionalization of business activity. In addition, the paper highlights trends, not just in total trade, but within intermediate products and by technology.