Design and implementation of a database for the estimation of environmental indicators in an input-output framework with the use of NAMEA tables

Belegri-Roboli, A; Markaki, M; Michaelides, P; Milios, J; Papakyriakopoulos, T; Tsolas, I

dc.contributor.author	Belegri-Roboli, A	en
dc.contributor.author	Markaki, M	en
dc.contributor.author	Michaelides, P	en
dc.contributor.author	Milios, J	en
dc.contributor.author	Papakyriakopoulos, T	en
dc.contributor.author	Tsolas, I	en
dc.date.accessioned	2014-03-01T02:50:20Z
dc.date.available	2014-03-01T02:50:20Z
dc.date.issued	2006	en
dc.identifier.issn	17433541	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35065
dc.subject	Database	en
dc.subject	Environmental input-output	en
dc.subject	NAMEA	en
dc.subject	SQL	en
dc.subject	VBA	en
dc.subject.other	database	en
dc.subject.other	economic activity	en
dc.subject.other	environmental indicator	en
dc.subject.other	input-output analysis	en
dc.subject.other	pollution incidence	en
dc.subject.other	software	en
dc.title	Design and implementation of a database for the estimation of environmental indicators in an input-output framework with the use of NAMEA tables	en
heal.type	conferenceItem	en
heal.identifier.primary	10.2495/EEIA060321	en
heal.identifier.secondary	http://dx.doi.org/10.2495/EEIA060321	en
heal.publicationDate	2006	en
heal.abstract	The aim of the present paper is to design and implement a database for the estimation of environmental indicators by sector of economic activity at the macroeconomic level by means of input-output analysis with the use of NAMEA environmental tables. The database is programmed in VBA with the use of SQL queries and is implemented in a Microsoft Access environment through a friendly interface for inserting the data requested by the model (number of sectors, number of pollutants, etc). The computational results of the dataset of the relevant pollution coefficients (direct, indirect and total) by sector of economic activity are inserted in the database for further elaboration. Through the creation of the database we can pinpoint the sectors and the pollutants that cause the largest environmental load and compare the results with the corresponding databases of other countries.	en
heal.journalName	WIT Transactions on Ecology and the Environment	en
dc.identifier.doi	10.2495/EEIA060321	en
dc.identifier.volume	98	en
dc.identifier.spage	329	en
dc.identifier.epage	336	en