scholarly journals Endogenous Production Networks

Econometrica ◽  
2020 ◽  
Vol 88 (1) ◽  
pp. 33-82 ◽  
Author(s):  
Daron Acemoglu ◽  
Pablo D. Azar

We develop a tractable model of endogenous production networks. Each one of a number of products can be produced by combining labor and an endogenous subset of the other products as inputs. Different combinations of inputs generate (prespecified) levels of productivity and various distortions may affect costs and prices. We establish the existence and uniqueness of an equilibrium and provide comparative static results on how prices and endogenous technology/input choices (and thus the production network) respond to changes in parameters. These results show that improvements in technology (or reductions in distortions) spread throughout the economy via input–output linkages and reduce all prices, and under reasonable restrictions on the menu of production technologies, also lead to a denser production network. Using a dynamic version of the model, we establish that the endogenous evolution of the production network could be a powerful force towards sustained economic growth. At the root of this result is the fact that the arrival of a few new products expands the set of technological possibilities of all existing industries by a large amount—that is, if there are n products, the arrival of one more new product increases the combinations of inputs that each existing product can use from 2 n−1 to 2 n , thus enabling significantly more pronounced cost reductions from choice of input combinations. These cost reductions then spread to other industries via lower input prices and incentivize them to also adopt additional inputs.

2013 ◽  
Vol 4 (4) ◽  
pp. 76-82 ◽  
Author(s):  
Ivica Veza ◽  
Marko Mladineo

Abstract Global economic crisis has brought into question sustainability of many industrial enterprises, especially Large-sized Enterprises (LEs). However, the strength of the European economy are not Large-sized Enterprises, but Small and Medium-sized industrial Enterprises (SMEs). As an alternative to LEs there is networking of SMEs into flexible production networks. Inside production network SMEs can collaborate on new product development forming Virtual Enterprise. SMEs collaborating as one Virtual Enterprise can be seen as a sustainable Large-sized Enterprise. However, to achieve sustainability through production networks, i.e. Virtual Enterprises, it is essential to choose an optimal combination of SMEs in Virtual Enterprise formation process. Since it is a complex task that requires the use of multi-criteria decision-making methods, in this paper PROMETHEE method is used.


2020 ◽  
Vol 16 (1) ◽  
pp. 95-117
Author(s):  
Anna Beckers

AbstractReviewing the burgeoning legal scholarship on global value chains to delineate the legal image of the global value chain and then comparing this legal image with images on global production in neighbouring social sciences research, in particular the Global Commodity Chain/Global Value Chain and the Global Production Network approach, this article reveals that legal research strongly aligns with the value chain image, but takes less account of the production-centric network image. The article then outlines a research agenda for legal research that departs from a network perspective on global production. To that end, it proposes that re-imagining the law in a world of global production networks requires a focus in legal research on the legal construction of global production and its infrastructure and a stronger contextualization of governance obligations and liability rules in the light of the issue-specific legal rules that apply to said infrastructure.


Author(s):  
B. Verhaelen ◽  
F. Mayer ◽  
S. Peukert ◽  
G. Lanza

AbstractThe trend of globalization has led to a structural change in the sales and procurement markets of manufacturing companies in recent decades. In order not to be left behind by this change, companies have internationalized their production structures. Global production networks with diverse supply and service interdependencies are the result. However, the management of global production networks is highly complex. Key performance indicator (KPI) networks already exist at the corporate level and site level to support the management of complex systems. However, such KPI networks are not yet available to support the management of entire production networks. In this article, a KPI network for global production networks is presented, which links the key figures of the site level and the corporate level. By integrating both levels into a comprehensive KPI network, cause and effect relationship between the production-related KPIs and the strategic KPIs of a corporate strategy become transparent. To this end, this KPI network is integrated into a Performance Measurement and Management (PMM) methodology. This methodology consists of three phases: performance planning, performance improvement, and performance review. For testing the practical suitability, the PMM methodology is applied to the production network of an automotive supplier using a simulation model to estimate the effects of proposed improvement actions of the methodology.


2016 ◽  
Vol 15 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Moekti P. Soejachmoen

International trade in automotive and auto parts has grown rapidly during the last two decades but Southeast Asia's largest economy, Indonesia, is lagging behind in its export performance. This paper uses a comparative perspective in examining Indonesia's role in automotive production networks in the context of the contemporary debate on opportunities for reaping gains from economic globalization through engagement in global production sharing. This research aims to answer two questions; the first addresses the determinants of a country's participation in the global production network, the second asks why Indonesia is being left behind in global production networks. Our analysis is based on the Jones and Kierzkowski fragmentation theory. The unbalanced panel trade data for 98 countries for the period 1988–2007 are estimated using the least square dummy variable method. The results show that in Asian countries, foreign direct investment openness is the most important determinant followed by trade cost, trade openness, competitiveness, and labor quality. Indonesia is being left behind for a number of reasons, such as restrictive foreign investment policies, higher trade costs and remaining high protection in the automotive sector in terms of tariff and non-tariff measure, and a low education level that hampers the absorption capacity in technology.


2009 ◽  
Vol 06 (03) ◽  
pp. 283-303 ◽  
Author(s):  
ALEJANDRO MEJIA ◽  
DIETER WEIDLICH

With the basis that research is one of the most important internal sources for innovation, a new approach to create competence-cell-based production networks focused on research activities is presented. Thus, a research process, specific for competence-cell-based networks, is also described. In this process, which is subdivided in different phases, the competence-cells, as the smallest performance units, are temporarily linked in a production network. They cooperate to carry out industry-oriented applied research to generate new ideas or technologies to be used in innovative products. For this process, an approach for the non-hierarchical selection of the necessary competence cells is also introduced. This selection is accomplished by means of the innovation potential, which is based on parameters that evaluate nearly objectively the innovative capabilities of the competence cells.


2021 ◽  
Author(s):  
Alexandr Kopytov ◽  
Bineet Mishra ◽  
Kristoffer Nimark ◽  
Mathieu Taschereau-Dumouchel

2021 ◽  
Author(s):  
Sergio Garcia ◽  
Cong T Trinh

Microbial metabolism can be harnessed to produce a large library of useful chemicals from renewable resources such as plant biomass. However, it is laborious and expensive to create microbial biocatalysts to produce each new product. To tackle this challenge, we have recently developed modular cell (ModCell) design principles that enable rapid generation of production strains by assembling a modular (chassis) cell with exchangeable production modules to achieve overproduction of target molecules. Previous computational ModCell design methods are limited to analyze small libraries of around 20 products. In this study, we developed a new computational method,named ModCell-HPC, capable of designing modular cells for large libraries with hundredths of products with a highly-parallel and multi-objective evolutionary algorithm. We demonstrated ModCell-HPC to design Escherichia coli modular cells towards a library of 161 endogenous production modules. From these simulations, we identified E. coli modular cells with few genetic manipulations that can produce dozens of molecules in a growth-coupled manner under different carbons sources. These designs revealed key genetic manipulations at the chassis and module levels to accomplish versatile modular cells. Furthermore, we used ModCell-HPC to identify design features that allow an existing modular cell to be re-purposed towards production of new molecules. Overall, ModCell-HPC is a useful tool towards more efficient and generalizable design of modular cells to help reduce research and development cost in biocatalysis.


2021 ◽  
Vol 75 (4) ◽  
pp. 537-551
Author(s):  
Günther Schuh ◽  
Andreas Gützlaff ◽  
Julian Ays ◽  
Tino X. Schlosser

Over the last decades, global production networks have developed to high complex systems. To adapt quickly the dynamic environmental conditions, an active network management is required. The network management and the associated distribution of responsibilities in the production network is mostly grown historically. Further, the issue is only commonly considered in current approaches. Therefore, this paper presents a framework for determining the degree of centralization in global production networks under the aspect of increasing efficiency. Beyond the theoretical framework, a workshop procedure is presented in which the framework can be tested.


Information ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 420
Author(s):  
Haiying Xu ◽  
Wei-Ling Hsu ◽  
Yee-Chaur Lee ◽  
Tian-Yow Chern ◽  
Shr-Wei Luo

The recent literature concerning globalizing regional development has placed significant emphasis on the Global Production Network (GPN 2.0). GPN 2.0 in economic geography emphasizes that regional growth is caused by a shift in the strategic coupling mode from a low to high level. In addition, GPN 2.0 regards firm-level value capture trajectories as key analytical object, rather than the interactive relationships among scalar and divergent actors in GPN 1.0. To provide a better understanding of causal linkages between the GPNs and uneven regional development in the background of globalization and to test the applicability of GPN 2.0 analysis framework, the paper analyzed 62 Korean-invested automotive firms in Jiangsu Province, China. In order to explore the value capture trajectories of lead firms in the GPNs, the authors applied K-means clustering method to quantitatively analyze the local supply networks of lead firms from organizational and spatial dimensions. Then, comparisons were made between strategic coupling modes of GPNs and regional development in North and South Jiangsu. This study found obvious similarities within these two regions but obvious differences between them in terms of value capture trajectories. We observed that North Jiangsu is currently in the stage of “structural coupling”, whereas South Jiangsu is in the stage of “functional coupling.” Thus, this article argues that spatial settings such as regional assets and autonomy are key factors influencing uneven economic development. This research may provide a crucial reference for the regional development of Jiangsu, China.


2020 ◽  
Vol 14 (3) ◽  
pp. 281-287
Author(s):  
Elias Auberger ◽  
Christian Ramsauer

Nowadays, production companies are facing an increasingly volatile environment. Due to increasing globalization, but also de-globalization, taking into consideration an internal production network is becoming more and more important for companies, all in order to be able to counteract in an agile way the uncertainties such as swings in the demand. Current production network planning procedures focus on (re-)locating decisions without delving into what happens inside the plants, neglecting the dynamics of production networks, following a rigid top-down approach during the configuration phase, and they do not integrate the effects of planning tasks at the factory level (tactical and operational planning). In order to be able to make strategic decisions with a well-founded database regarding the production network, the effects on the tactical and operational level must be considered in an iterative way during the strategic decision-making process. The aim of this research is to define the requirements for an approach to strategic production network planning, which considers the effects at the tactical and operational level in an iterative way, and to develop a process model, derived from the requirements, that in its five phases considers the deficiencies of the existing approaches.


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