0000000000135400

AUTHOR

Donatella Vignani

0000-0002-0916-9713

showing 4 related works from this author

Mines and quarries production: A driver analysis of withdrawals in Italy

2020

Abstract The growing demand for non-energy mineral resources has determined relevant withdrawals as well as import-export flows. This paper aims to disentangle the drivers of raw non-energy mineral resources extraction in Italy. Using a new dataset of raw resources extracted from mines and quarries in the 21 Italian regions (19 regions and 2 autonomous provinces of Trento and Bolzano) for the period 2013–2016, our empirical analysis confirms the relevance of mining and quarrying producer price index as well as the manufacturing and construction sectors as main drivers. In line with the Hotelling (1931)'s theory, a positive relationship between m&q mineral resources extraction intensity and …

Producer price indexEconomics and EconometricsPluckingSociology and Political Science020209 energyNon-energy mineral resourceNon-renewable natural resource02 engineering and technologyMining and quarrying price index010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesMineral resource classificationAgricultural economicsGeography0202 electrical engineering electronic engineering information engineeringHotelling's theoryPositive relationshipProduction (economics)Mining and quarrying mineralLawHotelling's theory Mining and quarrying minerals Mining and quarrying price index Non-energy mineral resources Non-renewable natural resources0105 earth and related environmental sciences
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Irrigation water intensity and climate variability: an agricultural crops analysis of Italian regions

2020

This paper examines the relationship between the requirement of water resources for irrigation and climate variability and analyses the ranking of the best and worst performance of irrigation water intensity for each Italian region. To measure water resources demanded by agriculture, the irrigation water intensity (IWI) indicator has been computed as the ratio between volumes of irrigation water and total crop harvested. By applying panel data methodologies to a regional dataset spanning from 2000 to 2009, we may address heterogeneity and omitted variable issues. By merging meteo-climatic with agricultural variables, we may confirm that water precipitations, maximum temperature, irrigation …

Crops AgriculturalIrrigationResource (biology)Agricultural IrrigationHealth Toxicology and MutagenesisClimate Change010501 environmental sciences01 natural sciencesAgricultural water management Climate variability Irrigation water intensity Pressure on local water resources Water resources Italian regional agricultural sectorEnvironmental Chemistry0105 earth and related environmental sciencesbusiness.industryWaterOmitted-variable biasAgricultureGeneral MedicinePollutionWater resourcesRankingItalyAgricultureEnvironmental scienceWater resource managementbusinessIntensity (heat transfer)Panel data
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Innovation for climate change adaptation and technical efficiency: an empirical analysis in the European agricultural sector

2020

This paper analyses the effect of innovation on firms' technical efficiency. Using climate-related patent data to proxy for innovation activity in different technological fields, the paper employs a stochastic frontier approach to estimate the impact of innovative efforts on agricultural firms' technical efficiency taking account of both unobservable heterogeneity and double heteroscedasticity in the inefficiency and idiosyncratic terms. Our findings confirm that innovation has a positive impact on firms' productivity (technical efficiency). While agricultural firms located in Germany and Sweden are more efficient compared to those in southern countries, all the European countries considere…

SH3_10Economics and EconometricsSociology and Political ScienceSocio-culturaleUnobservableFrontierEconomicaStochastic frontier approach0502 economics and businessSustainable agriculture050602 political science & public administrationEconomicsAdaptation050207 economicsAdaptation Agriculture Climate-related patent Stochastic frontier approachProductivityIndustrial organizationbusiness.industrySH3_105 social sciencesAmbientaleClimate-related patentAgricultureProduction–possibility frontierSH1_90506 political scienceAgricultureInternational political economyAgriculture Adaptation Climate-related patent Stochastic frontier approachInefficiencybusinessFinanceEconomia Politica
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Climate variability and agriculture in Italy: a stochastic frontier analysis at the regional level

2020

In the next future, climate change effects will represent a challenge for Europe and the Mediterranean area. These will have to cope with a rapid increase in climate variability. Although many economic sectors may be affected, agriculture is the most susceptible as climate heavily affects crop production trends, yield variability and the availability of areas suitable for cultivation. Using the stochastic frontier approach, the aim of this work is to analyse the impacts of climate variability on Italian regional technical efficiency in the agricultural sector for a period spanning from 2000 to 2009. Considering that technical inefficiency could be influenced by two main annual meteorologica…

Agricultural sector Climate change Climate variability Italian regions technical efficiency Stochastic frontier approachEconomics and EconometricsSociology and Political Sciencebusiness.industryYield (finance)Crop yieldEconomic sector05 social sciencesClimate change0506 political scienceStochastic frontier analysisWork (electrical)Agriculture0502 economics and business050602 political science & public administrationEnvironmental sciencePhysical geography050207 economicsInefficiencybusinessFinanceEconomia Politica
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