Market access and the other determinants of North–South manufacturing location choice: An application to the Euro-Mediterranean area

Bagoulla, Corinne; Péridy, Nicolas

doi:10.1016/j.ecosys.2011.04.003

Cited by 6 publications

(4 citation statements)

References 34 publications

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“…Entropy-based approaches are appropriate since they allow for the nested geographical perspective (region-country) typical of the European economy and are incorporated in New Economic Geography models. For this reason, relative entropy measures are becoming frequently used in such analyses (e.g., Bagoulla and Péridy, 2011; Gokan, 2010; Stierle-von Schultz and Stierle, 2013; Vechiu and Makhlouf, 2014; among many others). Further, by bootstrapping the measures, and their components, we are able to assess whether geographical concentration, specialisation and localisation changed significantly over time.…”

Section: Methodsmentioning

confidence: 99%

“…While Amiti (1999) reports a general increase in relative specialisation in EU countries from 1968to 1990, Midelfart-Knarvik et al (2004 tend to suggest that the process of relative specialisation is more complex at least from the early-1980s until the end of the 1990s. Recent studies, focussed on EU-27 countries, suggest increasing specialisation of the new member states (see e.g., Bagoulla andPéridy, 2011 andVechiu andMakhlouf, 2014). Specialisation patterns at the sub-national level have been less analysed empirically.…”

Section: Previous Empirical Research: a Brief Surveymentioning

confidence: 99%

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EU integration and the geographies of economic activity: 1985–2019

2022

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One of the central predictions of the new economic geography (NEG) is that the removal of trade barriers and other such frictions should lead to the geographical concentration and specialisation of economic activity, both between and within nations. This prediction has been used to argue that as the European Union becomes more integrated, economic activity would become more regionally concentrated and specialised. Using relative entropy measures applied to a new regional data set for the period of 1985–2019, this paper finds that between 1985 and 2000 localisation and specialisation between European countries increased to some extent but with a widespread fall in specialisation and concentration within countries. After 2000, and particularly after 2007 and the Global financial Crisis, the spatial distribution of economic activities in Europe appears to have become more complex, with some degree of concentration, agglomeration and specialisation both across and within countries. Overall, however, we find little long-run support for the NEG prediction.

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Section: Methodsmentioning

confidence: 99%

Section: Previous Empirical Research: a Brief Surveymentioning

confidence: 99%

EU integration and the geographies of economic activity: 1985–2019

2022

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“…Recent research shows that the impact of the crisis on firms' performance differs according to the organisational mode of global transactions that the firm is involved in (Altomonte di Mauro et al, 2012), and by firms' positioning in GVCs (Békés et al, 2011).…”

Section: Gvcs Multiple Mode Internationalisation and Crisis Sensitivitymentioning

confidence: 99%

Assessment of Economic Efficiency, Effects and Risks of Digitalization Projects of Garment Industry in Russia

Kudryavtseva¹,

Kozhina²,

Prause³

et al. 2023

JAER

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To increase production efficiency at industrial enterprises, various digital technologies have recently been used, which have various effects: reduction of time, money, material costs, reduction of the production cycle, productivity growth. This study aims to analyze and evaluate the efficiency of the digitalization of garment production, determine the effects and risks of a digitalization project. The digitalization project was carried out using the radio-frequency identification technology to monitor the sequential processes of garment making.This study tests a hypothesis that the use of digital technologies leads to a reduction in time losses and an increase in labor productivity. During the study, the time of the production process was measured. Further on, the possible reduction of time losses due to the introduction of digital technology under the conditions of existing production capacities is calculated. Time losses were used for additional production, which leads to a change in the company's cash flows. As a result, the performance indicators of the investment project were calculated, and its risks were assessed using sensitivity analysis.The theoretical significance is in determining the economic indicators that are affected by the introduction of digital technology in the garment industry. The introduction of the radio-frequency identification technology makes it possible to monitor the parameters of the production process, which helped to reduce time loss by 50%, decrease the labor intensity of the product and increase the productivity of the enterprise's personnel by 30%. The implementation of digitalization projects has risks for companies. To minimize possible risks that could arise, sustainable mitigating solutions were proffered.

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“…Following the rise and development of new economic geography, the academic community attached more importance to the influence of agglomeration economy and system on the spatial pattern of the MI. Furthermore, other empirical studies also explored the influencing factors of location choice and spatial distribution difference in the MI while centering on factors, such as environmental regulation [2], marketization level [17], infrastructure [18], and digital technology [19], by comprehensively applying fuzzy qualitative comparative analysis, factor analysis, empirical analysis, and other methods [20][21][22]. According to the results of previous studies, the spatial distribution of the MI has certain economic and social orientation.…”

Section: Spatial Pattern Of the MImentioning

confidence: 99%

Spatial Pattern Evolution of the Manufacturing Industry in the Yangtze River Economic Belt and Its Impact on PM2.5

et al. 2023

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Instead of being merely an important embodiment of regional productivity, the manufacturing industry also serves as a significant sector of economic operation and the supply chain system that is highly dependent on resources and the environment. Studying the spatial pattern of the manufacturing industry and its environmental effect is extremely significant for optimizing the spatial layout of urban industry, allocating production factors in a rational manner, and promoting the green transformation of industry. In this regard, this study aimed to further reveal the spatial pattern characteristics of the regional manufacturing industry and its impact on PM2.5. Using data from micro-enterprises in the manufacturing industry in the Yangtze River Economic Belt, its spatial pattern characteristics are explored and an econometric model is constructed to analyze the impact of the manufacturing industry on PM2.5 by comprehensively applying approaches including kernel density estimation, nearest proximity index, and Dagum Gini coefficient decomposition. Three research conclusions were drawn: (1) an obvious “core-edge” feature is present in the spatial distribution of the manufacturing industry in the studied area showing an apparent pattern of “high in the east and low in the west”. The core density of the manufacturing industry in the central cities is significantly higher than that in the surrounding cities. (2) In the manufacturing industry and its subdivisions, the characteristics of spatial agglomeration are unveiled, while the agglomeration and spatial differences are diminished during the study period for the spatial equilibrium of the manufacturing industry. (3) A significantly positive impact is exerted on PM2.5 pollution that is not limited to local cities by the manufacturing industry, which, due to the development differences within the study region, is also heterogeneous. In view of this, policy proposals for aspects such as forging a green manufacturing cluster area, establishing an industrial integration development platform, giving play to regional advantages and technological potential, etc., are put forward in this study, so as to provide a useful reference for optimizing the industrial pattern and promoting the green transformation of industries.

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Market access and the other determinants of North–South manufacturing location choice: An application to the Euro-Mediterranean area

Cited by 6 publications

References 34 publications

EU integration and the geographies of economic activity: 1985–2019

EU integration and the geographies of economic activity: 1985–2019

Assessment of Economic Efficiency, Effects and Risks of Digitalization Projects of Garment Industry in Russia

Spatial Pattern Evolution of the Manufacturing Industry in the Yangtze River Economic Belt and Its Impact on PM2.5

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