Decomposing regional business change at plant level in Italy: A novel spatial shift‐share approach

Espa, Giuseppe; Filipponi, Danila; Giuliani, Diego; Piacentino, Davide

doi:10.1111/pirs.12044

Cited by 22 publications

(47 citation statements)

References 21 publications

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“…So they are less affected because their regional economies are not integrated into the national economy. These results are also in agreement with those in Espa et al (), even though in this case businesses are classified by two dimensions only (spatial and sectoral) over the period 2004–2009. Espa et al () attribute the higher rates of business change recorded in Southern regions to the smaller impact of the crisis on relatively less developed regional economies.…”

Section: Datasupporting

confidence: 93%

“…So they are less affected because their regional economies are not integrated into the national economy. These results are also in agreement with those in Espa et al (2014) change recorded in Southern regions to the smaller impact of the crisis on relatively less developed regional economies. These aspects are further investigated in the fourth section.…”

Section: Datasupporting

confidence: 90%

See 1 more Smart Citation

Employment Growth by Firm Size During the Recent Crisis in Italy: A Multifactor Partitioning Analysis

Bianchi¹,

Biffignandi²

2018

Growth and Change

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The effects on employment growth in firms, grouped by size class, of the economic crisis that began in 2008 are analysed using multifactor partitioning (MFP). Italy's employment growth is decomposed into four explanatory factors: the stage in the business cycle; the effect of firm size; industry composition; and regional distribution; together with the interactions among these four effects. The interpretation of these effects is facilitated by the introduction within the MFP framework of a new decomposition of several key elements. The results show that the adopted approach and the suggested decompositions are useful to study the effect of size on employment change. This effect is found to be negative only for micro units (with less than 10 employees). For the other classes, it is positive. The observed negative changes in these classes are mainly due to the business cycle and an unfavourable industrial composition.

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Section: Datasupporting

confidence: 93%

Section: Datasupporting

confidence: 90%

Employment Growth by Firm Size During the Recent Crisis in Italy: A Multifactor Partitioning Analysis

Bianchi¹,

Biffignandi²

2018

Growth and Change

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“…It measures the effect of changes in the electricity intensities of various sectors during the study period. The equation is as follows [21,22]:…”

Section: Methodsmentioning

confidence: 99%

“…Following Nazara and Hewings' idea, Zaccomer [20] developed SSS into a complete model. Subsequently, Espa et al [21] suggested a spatial shift-share decomposition of regional business changes at the plant level in Italy. Grossi and Mussini [22] recently applied SSS to explore the changes in regional electricity consumption across Italy over the period 2000-2013.…”

Section: Introductionmentioning

confidence: 99%

Electricity Consumption Changes across China’s Provinces Using A Spatial Shift-Share Decomposition Model

Bao

Liu

2019

Sustainability

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China’s growing electricity consumption has become an important factor to improving socio-economic development, as well as aggravating environmental degradation. Based on the provincial level data in China for the entire period and every five years during 2000–2015, this paper used a spatial shift-share analysis (SSS) to detect the driving factors of electricity consumption changes in China, mainly focusing on the spatial spillover effects of electricity consumption which have been ignored by previous literature. Results show that economic growth and industry structure change have increased China’s electricity consumption by 8919 and 746 billion kWh, respectively, while the electricity efficiency improvement has reduced China’s electricity consumption by 5337 billion kWh for the entire period. Among the total decrease in China’s electricity consumption caused by electricity efficiency improvement, about 20% is caused by spatial spillover effects, which cannot be ignored. Moreover, there are great differences in electricity consumption changes’ components across China’s provinces. The results provide a quantitative and better understanding of the determinants of China’s electricity consumption changes, and practical implications for differentiated electricity consumption regulation policies and regional energy cooperation strategies for China, as well as for other similar countries.

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“…For example, if the neighbourhood effect shows a positive value but the difference in performance between neighbours and nation is negative, the advantage of the region r is mainly due to individual factors rather than to neighbourhood influence. In order to overcome such a drawback, Espa et al () introduced a novel type of spatial decomposition built on four simple effects. Specifically, they decompose the second term of equation (3) into two simple effects as follows:

true({\overset{g}{true}}_{i r} - g_{n} true) = true({\overset{g}{true}}_{i r} - g_{i n} true) + true(g_{i n} - g_{n} true)

…”

Section: Measuring Firm Demography Changementioning

confidence: 99%

Firm Demography and Regional Development: Evidence from Italy

Piacentino¹,

Espa²,

Filipponi³

et al. 2016

Growth and Change

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This article contributes to the literature on firm demography and regional development in at least three different ways. First, consumption, rather than employment, which is the most common variable seen in literature, is used to measure the impact of firm demography on regional development. Second, while the literature is mainly focused on the relationship between new business formation and regional development, we investigate both entry and exit flows of firms. Third, we decompose each of these flows into spatial and sectoral components. The empirical investigation looks at the Italian regions with reference to the period 2004–2009. Results seem to be substantially divergent between the South and the rest of Italy.

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Decomposing regional business change at plant level in Italy: A novel spatial shift‐share approach

Cited by 22 publications

References 21 publications

Employment Growth by Firm Size During the Recent Crisis in Italy: A Multifactor Partitioning Analysis

Employment Growth by Firm Size During the Recent Crisis in Italy: A Multifactor Partitioning Analysis

Electricity Consumption Changes across China’s Provinces Using A Spatial Shift-Share Decomposition Model

Firm Demography and Regional Development: Evidence from Italy

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