The thesis is formed of three essays linked by a common topic regarding the analysis of natural gas consumption at the local level in Italy. The first chapter is an empirical investigation analyzing the monthly billing data of 51,177 end-users in Veneto (Italy) in the period 2016-2018. Several panel-data models are developed to study determinants of individual natural gas consumption and, especially, price elasticity. The second chapter investigates changes in natural gas consumption patterns caused by the COVID-19 pandemic. We employed the Gini index in the study of intra-day energy seasonality, analyzing an original data-set of hourly natural gas demand in northern Italy. The third chapter considers spatial heterogeneity as a new source of information in energy consumption data at the micro level. The analysis integrates a billing data-set of 8,924 natural gas consumers with spatial coordinates. Then, we applied a two-stage technique to study price elasticity and consumption determinants, solving the endogeneity problem through the spatial information of end-users.

Empirical investigation of natural gas consumption and price elasticity: evidence from billing and distribution data in Italy

Favero Filippo
2022-01-01

Abstract

The thesis is formed of three essays linked by a common topic regarding the analysis of natural gas consumption at the local level in Italy. The first chapter is an empirical investigation analyzing the monthly billing data of 51,177 end-users in Veneto (Italy) in the period 2016-2018. Several panel-data models are developed to study determinants of individual natural gas consumption and, especially, price elasticity. The second chapter investigates changes in natural gas consumption patterns caused by the COVID-19 pandemic. We employed the Gini index in the study of intra-day energy seasonality, analyzing an original data-set of hourly natural gas demand in northern Italy. The third chapter considers spatial heterogeneity as a new source of information in energy consumption data at the micro level. The analysis integrates a billing data-set of 8,924 natural gas consumers with spatial coordinates. Then, we applied a two-stage technique to study price elasticity and consumption determinants, solving the endogeneity problem through the spatial information of end-users.
billing data ,natural gas consumption, price elasticity, panel data, intra-day demand, Gini index, spatial models, GWR
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Descrizione: PhD Thesis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1062815
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