Firm Exit and Spatial Agglomeration - Evidence on the Resilience of Italian Provinces

2010 ◽  
Author(s):  
Giulio Cainelli ◽  
Sandro Montresor ◽  
Giuseppe Vittucci Marzetti
Keyword(s):  
Firm Exit ◽  
Spatial Agglomeration ◽  
Italian Provinces

scholarly journals Spatial agglomeration and firm exit: a spatial dynamic analysis for Italian provinces

2013 ◽  
Vol 43 (1) ◽  
pp. 213-228 ◽  
Author(s):  
Giulio Cainelli ◽  
Sandro Montresor ◽  
Giuseppe Vittucci Marzetti
Keyword(s):  
Dynamic Analysis ◽  
Spatial Dynamic ◽  
Firm Exit ◽  
Spatial Agglomeration ◽  
Italian Provinces

Firms' death rate and spatial agglomeration. Evidence on the resilience of italian local Production systems

2012 ◽  
pp. 101-126
Author(s):  
Giulio Cainelli ◽  
Sandro Montresor ◽  
Marzetti Giuseppe Vittucci
Keyword(s):  
Production Systems ◽  
Local Level ◽  
Preliminary Evidence ◽  
Industrial Clusters ◽  
Industrial Districts ◽  
Spatial Agglomeration ◽  
Start Up ◽  
Urbanization Economies ◽  
Italian Provinces

The paper investigates the role spatial agglomeration has in affecting firm mortality of industries. In particular, the role of variety and specialization is addressed, along with the extent to which industrial clusters can be retained industrial districts. Empirical evidence is provided for a large panel of Italian provinces and manufacturing sectors, over the period 1995-2007. Urbanization economies, rather than localization ones, significantly diminish firm mortality of industries at the local level. The same holds true for industrial variety, even far from the specialization core. Industrial districts, instead, are neither safe nor dangerous places for firms, unless variety is controlled for. Preliminary evidence is also provided by the serial and spatial autocorrelation of firm' death and start-up rates.

Sectoral patterns of firm exit in Italian provinces

2010 ◽  
Vol 21 (3) ◽  
pp. 499-517 ◽  
Author(s):  
Martin A. Carree ◽  
Ingrid Verheul ◽  
Enrico Santarelli
Keyword(s):  
Firm Exit ◽  
Italian Provinces

Becoming “Indians”: The Jesuit Missionary Path from Italy to Asia

2020 ◽  
Vol 43 (1) ◽  
pp. 9-50
Author(s):  
Camilla Russell
Keyword(s):  
Early Modern ◽  
Early Modern Period ◽  
Society Of Jesus ◽  
Modern Period ◽  
Jesuit Missions ◽  
Archival Documents ◽  
Italian Provinces ◽  
Jesuit Missionaries ◽  
Jesuit Missionary

The Jesuit missions in Asia were among the most audacious undertakings by Europeans in the early modern period. This article focuses on a still relatively little understood aspect of the enterprise: its appointment process. It draws together disparate archival documents to recreate the steps to becoming a Jesuit missionary, specifically the Litterae indipetae (petitions for the “Indies”), provincial reports about missionary candidates, and replies to applicants from the Jesuit superior general. Focusing on candidates from the Italian provinces of the Society of Jesus, the article outlines not just how Jesuit missionaries were appointed but also the priorities, motivations, and attitudes that informed their assessment and selection. Missionaries were made, the study shows, through a specific “way of proceeding” that was negotiated between all parties and seen in both organizational and spiritual terms, beginning with the vocation itself, which, whether the applicant departed or not, earned him the name indiano.

Equilibrium Dynamics in a Model of Growth and Spatial Agglomeration

2018 ◽  
Author(s):  
Shota Fujishima ◽  
Daisuke Oyama
Keyword(s):  
Spatial Agglomeration ◽  
Equilibrium Dynamics

scholarly journals Distance from the outbreak of infection, ozone pollution and public health consequences of SARS-CoV-2 epidemic

2020 ◽  
Author(s):  
Giovanni Tripepi ◽  
Mario Plebani ◽  
Giorgio Iervasi ◽  
Mercedes Gori ◽  
Daniela Leonardis ◽  
...  
Keyword(s):  
Public Health ◽  
Ozone Pollution ◽  
Health Consequences ◽  
The Public ◽  
Italian Provinces ◽  
Breakpoint Analysis ◽  
The Relationship ◽  
The City ◽  
Italian Province ◽  
Optimal Radius

Abstract Background Italy was the second country in the world, after China, to be hit by SARS-CoV-2 pandemic. The Italy’s experience teaches that steps to limit people’s movement by imposing “red zones” need to be put in place early by carefully identifying the cities to be included within these areas of quarantine. The assessment of the relationship between the distance from an established outbreak of SARS-CoV-2 infection with transmission-linked cases and mortality observed in other sites could provide useful information to identify the optimal radius of red zones. Methods We investigated the relationship between SARS-CoV-2 cases and the distance of each Italian province from the first outbreak of SARS-CoV-2 epidemic in Italy (the city of Lodi placed in the Lombardia region). In 38 provinces of Lombardia and neighboring regions, we performed a breakpoint analysis to identify the radius of the red zone around Lodi minimizing epidemic spread and mortality in neighboring cities. Results In all Italian provinces a non-linear relationship was found between SARS-CoV-2 cases and distance from Lodi. In an analysis including the provinces of Lombardia and neighboring regions, SARS-CoV-2 cases and mortality increased when the distance from Lodi reduced below 92 km and 140 km, respectively, and such relationships were amplified by ozone (O3) pollution. Conclusions The breakpoint analysis identifies the radius around the outbreak of Lodi minimizing the public health consequences of SARS-CoV-2 in neighboring cities. Such an approach can be useful to identify the red zones in future epidemics due to highly infective pathogens similar to SARS-CoV-2.

scholarly journals Spatial Agglomeration of China’s Forest Products Manufacturing Industry: Measurement, Characteristics and Determinants

Forests ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1006
Author(s):  
Zhenhuan Chen ◽  
Hongge Zhu ◽  
Wencheng Zhao ◽  
Menghan Zhao ◽  
Yutong Zhang
Keyword(s):  
Spatial Distribution ◽  
Spatial Data ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Economies Of Scale ◽  
Forest Products ◽  
Spatial Data Analysis ◽  
Forest Protection ◽  
Spatial Agglomeration ◽  
Continuous Space

China’s forest products manufacturing industry is experiencing the dual pressure of forest protection policies and wood scarcity and, therefore, it is of great significance to reveal the spatial agglomeration characteristics and evolution drivers of this industry to enhance its sustainable development. Based on the perspective of large-scale agglomeration in a continuous space, in this study, we used the spatial Gini coefficient and standard deviation ellipse method to investigate the spatial agglomeration degree and location distribution characteristics of China’s forest products manufacturing industry, and we used exploratory spatial data analysis to investigate its spatial agglomeration pattern. The results show that: (1) From 1988 to 2018, the degree of spatial agglomeration of China’s forest products manufacturing industry was relatively low, and the industry was characterized by a very pronounced imbalance in its spatial distribution. (2) The industry has a very clear core–periphery structure, the spatial distribution exhibits a “northeast-southwest” pattern, and the barycenter of the industrial distribution has tended to move south. (3) The industry mainly has a high–high and low–low spatial agglomeration pattern. The provinces with high–high agglomeration are few and concentrated in the southeast coastal area. (4) The spatial agglomeration and evolution characteristics of China’s forest products manufacturing industry may be simultaneously affected by forest protection policies, sources of raw materials, international trade and the degree of marketization. In the future, China’s forest products manufacturing industry should further increase the level of spatial agglomeration to fully realize the economies of scale.

scholarly journals The persistence of family firms: How does performance threshold affect family firm exit?

2021 ◽  
Author(s):  
Noni Symeonidou ◽  
Dawn R. DeTienne ◽  
Francesco Chirico
Keyword(s):  
Family Firms ◽  
English Summary ◽  
Future Generations ◽  
Family Influence ◽  
Firm Exit ◽  
Lower Performance ◽  
Threshold Theory ◽  
Exit Decisions ◽  
Future Work ◽  
Longitudinal Dataset

AbstractResearch on family firms provides mixed evidence of the effect of family ownership on firm performance and exit outcomes. Drawing on threshold theory and the socioemotional wealth perspective, we argue that family firms have lower performance thresholds than non-family firms, reducing the likelihood of firm exit. Using a longitudinal dataset of 1191 firms over the period 2008–2011, we find support for this contention, suggesting that performance threshold is an important, yet poorly studied, construct for understanding exits of family versus non-family firms.Plain English Summary Why firms with similar economic performance make different exit decisions? We find evidence that family firms have lower “performance thresholds” than non-family firms, reducing family firms’ likelihood of exit. Using a longitudinal dataset, we examine differences in performance threshold between family and non-family firms and help clarify why some firms persist with their ventures even though their performance may indicate they should exit the market. Our theory and related findings suggest that nonfinancial attributes such as identity, the ability to exercise family influence, and to hand the business down to future generations may affect family firms’ attitudes toward exit decisions. Our study contributes to sharpening our understanding of exit in family firms while motivating future work on exit strategies in family firms and other contexts.

The drivers of innovation diffusion in agriculture: evidence from Italian census data

2014 ◽  
Vol 14 (3) ◽  
pp. 231-245 ◽  
Author(s):  
G. Avolio ◽  
E. Blasi ◽  
C. Cicatiello ◽  
S. Franco
Keyword(s):  
Innovation Diffusion ◽  
Diffusion Of Innovations ◽  
Agricultural Sector ◽  
Census Data ◽  
Structural Features ◽  
Three Dimensions ◽  
Local Expenditure ◽  
Diffusion Dynamics ◽  
Italian Provinces ◽  
Market Opportunities

Innovation is a key issue in the discussion about the links between agriculture, food production and sustainability. Indeed, the creation, adoption and exploitation of innovations can interact with all three dimensions of sustainability – environment, society and economy. Despite the increasing support for innovation practices in the agrifood sector from institutions and public policies, innovation in this sector has spread quite slowly. Indeed, the diffusion of innovations strongly depends on the social, institutional and productive system behind the technological/structural features of the farms. The analysis of the drivers underpinning the innovation diffusion dynamics in agriculture is therefore a very interesting topic for studies in this domain. This paper aims to provide a map of the diffusion of innovations in the Italian agricultural sector, highlighting differences and territorial specificities. We try to explain the drivers and factors influencing such specificities, drawing from data on the agricultural sector as well as information on the institutional and regulatory framework. Data on the diffusion of product, process, organizational and marketing innovations in agriculture have been gathered for the 110 Italian provinces, drawing from the 2010 Agricultural Census survey. Maps of the diffusion of the different types of innovations have then been constructed and analysed. Results show that the diffusion of the different innovation types is not uniform within the country. Some are typical to specific areas where productive or market opportunities occur. Others are not territorial-specific but are linked to the features of the single farms. The influence of the regulatory context also seems to play a significant role. By analysing the local expenditure in rural development intervention, we analyses how the synergies among the productive and institutional systems may act as a driver for innovation diffusion in agriculture.

OWNERSHIP STRUCTURE AND FIRM EXIT ROUTES

2019 ◽  
Vol 52 (15) ◽  
pp. 1671-1686
Author(s):  
Darja Peljhan ◽  
Katja Zajc Kejžar ◽  
Nina Ponikvar
Keyword(s):  
Ownership Structure ◽  
Firm Exit
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