EDITORIAL: CARBON FOOTPRINT AND INPUT–OUTPUT ANALYSIS – AN INTRODUCTION

By T. Wiedmann. 2009

325 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/625f3e40d52fb58ad639338f66e107b790c5b7cb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Manfred Lenzen
2. D. Guan
3. Jing Meng
4. Edgar G. Hertwich
5. T. Wiedmann
6. Justin Kitzes
7. Zhu Liu
8. G. P. Peters

In Environmental Engineering

1. D. Guan
2. Manfred Lenzen
3. Edgar G. Hertwich
4. Jing Meng
5. T. Wiedmann
6. S. Giljum
7. G. P. Peters
8. Justin Kitzes

In Renewable Energy, Sustainability and the Environment

1. Edgar G. Hertwich
2. D. Guan
3. Manfred Lenzen
4. Zhu Liu
5. T. Wiedmann
6. S. Giljum
7. C. Weber
8. G. P. Peters

Citations in the corpus

• Metrics for optimising the multi-dimensional value of resources recovered from waste in a circular economy: A critical review (2017, methodology): “Moreover, conversion factors for many MCPs are only very roughly estimated by both LCA and EE-IOA.”
• THE ROLE OF INPUT–OUTPUT ANALYSIS FOR THE SCREENING OF CORPORATE CARBON FOOTPRINTS (2009, background): “There is a role here for academic journals, as well as for tertiary education institutions, to 240 Y.A. HUANG et al. produce plain language education and materials that will serve to demystify IOA and make it accessible to a global business community (Wiedmann, 2009b).”
• Theoretical exploration for the combination of the ecological, energy, carbon, and water footprints: Overview of a footprint family (2014, methodology): “…as a series of MRIO models have been successfully applied to the measurements of the land footprint (Weinzettel et al., 2013), the energy footprint (Wiedmann, 2009a), the carbon footprint (Hertwich and Peters, 2009), and the water footprint (Yu et al., 2010), as well as to the measurements of…”
• THE LIFE CYCLE ENVIRONMENTAL IMPACTS OF CONSUMPTION (2011, background): “Another motive has been carbon footprinting of countries, regions and households (Wiedmann, 2009), with the aim of generating information for climate mitigation and a measure to track the success of climate policies.”
• Material Footprint Assessment in a Global Input‐Output Framework (2015, methodology): “Further, MRIO-based assessments avoid imprecise definition of system boundaries, given that the whole global economy is the framework for the assessment (Wiedmann 2009b; Giljum et al. 2013).”
• An Introduction to Environmentally-Extended Input-Output Analysis (2013, methodology): “recently used for analysis of the global carbon [1–5], water [6,7], ecological [8–10], nitrogen [11] and biodiversity/wildlife footprints [12,13].”
• Measuring telecouplings in the global land system: A review and comparative evaluation of land footprint accounting methods (2015, unknown): “Multi-regional input–output (MRIO) models link IOTs of several countries or regions via bilateral trade flows and are capable of tracking global supply chains using country specific information on production technologies and economic structures (Wiedmann, 2009; Wiedmann et al., 2011).”
• Consumption-based emission accounting for Chinese cities (2016, background): “Some studies have summarized the input-output model and its applications [42,43].”
• Carbon emissions of cities from a consumption-based perspective (2019, background): “1 Consumption-based carbon emission accounting As the input-output (IO) model quantifies the network and relationship among industries in the national economy by collecting currency transactions of sectors, it has been widely applied with expansions across various aspects [51, 52], including CO2 emi”
• Situated lifestyles: I. How lifestyles change along with the level of urbanization and what the greenhouse gas implications are—a study of Finland (2013, background): “The primary source of uncertainty arises from the aggregation error inherent to all IO models (e.g. Wiedmann 2009).”