Material productivity, socioeconomic drivers and economic structures: A panel study for European regions

Bianchi, Marco; Valle, Ikerne del; Tapia, Carlos

doi:10.1016/j.ecolecon.2021.106948

Cited by 13 publications

(6 citation statements)

References 63 publications

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“…Over time, extended models have been proposed by scholars (West and Schandl, 2018). These include a broader range of explanatory variables, including geo-physical characteristics (Steinberger et al, 2010), economic structures (Fernández-Herrero and Duro, 2019;Gan et al, 2013), expenditure on R&D (Robaina et al, 2020) and economic specialisation indexes (Bianchi et al, 2021).…”

Section: Models and Influential Socioeconomic Factorsmentioning

confidence: 99%

“…The general form of model (1) was analysed by means of pooled, fixed and random effects regression (Wooldridge, 2013), the orthodox estimation methods generally applied in similar studies to correctly model the two error components μ i and ε it (Bianchi et al, 2021;West and Schandl, 2018). Upon estimating all the models, the results were assessed for validity and suitability using a suite of serial correlation tests (Wooldridge, 2013).…”

Section: Panel Data Modelling Approachmentioning

confidence: 99%

See 1 more Smart Citation

Does circular economy mitigate the extraction of natural resources? Empirical evidence based on analysis of 28 European economies over the past decade

Bianchi

Cordella

2023

Ecological Economics

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Section: Models and Influential Socioeconomic Factorsmentioning

confidence: 99%

Section: Panel Data Modelling Approachmentioning

confidence: 99%

Does circular economy mitigate the extraction of natural resources? Empirical evidence based on analysis of 28 European economies over the past decade

Bianchi

Cordella

2023

Ecological Economics

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“…Based on data provided by 280 European regions during 2006−2015, Bianchi, del Valle and Tapia [ 55 ] studied the effects of regional economic structures on the socioeconomic determinants of material productivity. Authors noted that higher affluence generated higher material productivity gains in material-intensive regions as compared to service-oriented regions.…”

Section: Literature Reviewmentioning

confidence: 99%

Empirical investigation on how wellbeing-related infrastructure shapes economic growth: Evidence from the European Union regions

et al. 2023

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One of the most important policies of the European Union is regional development, which comprises measures of enhancing economic growth and citizens’ living standards via strategic investment. Considering that economic growth and wellbeing are intertwined from the perspective of EU policies, this study examines the relationship between wellbeing-related infrastructure and economic growth in 212 NUTS 2 regional subdivisions across the members of Eu-28 during the period 2001–2020. We therefore analyzed data from 151 Western Europe regions and 61 Central and Eastern Europe regions by means of a panel data analysis with the first-difference generalized method of moments estimator. Our main interest was to determine the degree to which Western Europe regions responded to predictors as compared to Central and Eastern Europe regions. According to the empirical results, the predictors with the strongest influence for Western Europe regions were disposable household income, inter-regional mobility, housing indicator, labor force and participation. For Central and Eastern Europe regions, the largest impact was triggered by the housing indicator, internet broadband access and air pollution. In addition, we determined a relational weighted multiplex between all variables of interest by using dynamic time warping and we introduced topological measures in a multilayer multiplex model for both regional subsamples.

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“…Linear mixed models result indicate that changes in management practices over the past 50 years have positively affected labor productivity, but from the point of farm or regional level, no clear changes have been demonstrated in this study. Bianchi et al (2021)…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Gender and regional disparities in income level perspectives in United States agriculture sector

Juhásová,

Buleca,

Vancová

et al. 2023

JESI

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Agriculture, as one of the most important sectors of the economy of many countries, has to deal with gender inequality, which is part of it, among other problems. For centuries, women have been excluded from this area, but nowadays, they have the opportunity to participate in agricultural activities to the same extent as men and achieve an adequate income. The success of women in US agriculture in the form of their income can be explained through the six indicators: age, family involvement, farm area, farming period, female operators, and partnership by applying the regression analysis. The coefficient of determination shows that the Heartland Region regression model has the highest statistical significance, explaining 51.03 % of the investigated data variability. The second position is kept very closely by the Upper Midwest Region with a value of 50.06 %; the next ones are the Delta Region with a value of 46.37 %, the Great Lakes Region with 44.44 %, and the Northwest Region with 43.24 %. All the regression models assigned to these regions are suitable for explaining. Surprisingly, there are cases where a mutual ratio of the regression coefficients of the same indicator for the two specific regions is twice as high or lower. It reveals there are deliberate regional disparities.

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Material productivity, socioeconomic drivers and economic structures: A panel study for European regions

Cited by 13 publications

References 63 publications

Does circular economy mitigate the extraction of natural resources? Empirical evidence based on analysis of 28 European economies over the past decade

Does circular economy mitigate the extraction of natural resources? Empirical evidence based on analysis of 28 European economies over the past decade

Empirical investigation on how wellbeing-related infrastructure shapes economic growth: Evidence from the European Union regions

Gender and regional disparities in income level perspectives in United States agriculture sector

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