Environmental Footprints of Agriculture Embodied in International Trade: Sensitivity of Harvested Area Footprint of Chinese Exports

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11690%2F18%3A10377905" target="_blank" >RIV/00216208:11690/18:10377905 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.ecolecon.2017.11.013" target="_blank" >https://doi.org/10.1016/j.ecolecon.2017.11.013</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ecolecon.2017.11.013" target="_blank" >10.1016/j.ecolecon.2017.11.013</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Environmental Footprints of Agriculture Embodied in International Trade: Sensitivity of Harvested Area Footprint of Chinese Exports

Popis výsledku v původním jazyce

Consumption-based accounting seeks to link a population&apos;s lifestyles to their environmental impact. Input-output analysis (IOA) serves well in this approach as it covers all traded products, their full supply chains and explicitly delineates final consumption. However, using IOA comes at the expense of precision due to aggregation error. There has been a recent discussion on the plausibility of IOA results of agricultural pressures. We look at the harvested area footprint of Chinese exports, open the black box of the results of IOA and provide a detailed composition of the footprint. This helps to understand whether its size is a result of the poor precision of IOA methods, or whether it is based on plausible production patterns of the exported products. We hybridize the EXIOBASE database, identify the most important exported products, apply structural path analysis in order to identify the most important production nodes in their production paths and apply a sensitivity analysis over the model. We show that the results of the hybrid MRIO method are generally robust to assumptions. Our results indicate that while the uncertainty of the sign of net trade footprint can be high, the uncertainty of national environmental footprint accounts is low.

Název v anglickém jazyce

Environmental Footprints of Agriculture Embodied in International Trade: Sensitivity of Harvested Area Footprint of Chinese Exports

Popis výsledku anglicky

Consumption-based accounting seeks to link a population&apos;s lifestyles to their environmental impact. Input-output analysis (IOA) serves well in this approach as it covers all traded products, their full supply chains and explicitly delineates final consumption. However, using IOA comes at the expense of precision due to aggregation error. There has been a recent discussion on the plausibility of IOA results of agricultural pressures. We look at the harvested area footprint of Chinese exports, open the black box of the results of IOA and provide a detailed composition of the footprint. This helps to understand whether its size is a result of the poor precision of IOA methods, or whether it is based on plausible production patterns of the exported products. We hybridize the EXIOBASE database, identify the most important exported products, apply structural path analysis in order to identify the most important production nodes in their production paths and apply a sensitivity analysis over the model. We show that the results of the hybrid MRIO method are generally robust to assumptions. Our results indicate that while the uncertainty of the sign of net trade footprint can be high, the uncertainty of national environmental footprint accounts is low.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Ecological Economics

ISSN

0921-8009

e-ISSN

—

Svazek periodika

145

Číslo periodika v rámci svazku

March

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

8

Strana od-do

323-330

Kód UT WoS článku

000424316700027

EID výsledku v databázi Scopus

2-s2.0-85034245352