Developing Low Carbon Supply Networks: Influence, Measurement, and Improvement
type: CreativeWork
description: Climate change has emerged as one of the most serious challenges faced by human beings. As manufacturing globalisation involves more and more emerging nations, a greater proportion of CO2 emissions is generated from developing countries. The dilemma between fast industrial development and carbon reduction makes firms in developing nations reluctant to take serious commitment and actions in CO2 emission reduction in their global manufacturing practices. From a theoretical perspective, low-carbon supply networks research is also still in its infant stage and needs more explorations and development. Therefore this research aims to address the research question: “How can supply networks in developing countries be developed to reduce carbon emission?” Especially it focuses on: • An influence process to engage companies in developing countries to reduce carbon emission • A typology of carbon emission assessments in supply networks • An initial process of implementing carbon-reduction projects in supply network The research adopts theory building approach based on multiple case studies. The units of analysis are carbon reduction project of focal firms and initiatives of Non-Government Organizations (NGO). Drawing upon the cases, this research develops a general framework for developing low-carbon supply network, including three parts namely network influence, network CO2 measurement, and network CO2 improvement (IMI), with the three process models accordingly proposed. In the ‘influence’ process, based on resource dependence theory (RDT), this research illustrates a categorization of influence choices and a typology of influence pathways, which both underpin the four-step influence procedure proposed later. In the ‘measurement’ process, this research proposes a goal-oriented carbon footprint measurement guideline. In the “improvement’ process, an initial framework to classify carbon reduction projects and implementation process model of these projects are both built based …
abstract: Climate change has emerged as one of the most serious challenges faced by human beings. As manufacturing globalisation involves more and more emerging nations, a greater proportion of CO2 emissions is generated from developing countries. The dilemma between fast industrial development and carbon reduction makes firms in developing nations reluctant to take serious commitment and actions in CO2 emission reduction in their global manufacturing practices. From a theoretical perspective, low-carbon supply networks research is also still in its infant stage and needs more explorations and development. Therefore this research aims to address the research question: “How can supply networks in developing countries be developed to reduce carbon emission?” Especially it focuses on: • An influence process to engage companies in developing countries to reduce carbon emission • A typology of carbon emission assessments in supply networks • An initial process of implementing carbon-reduction projects in supply network The research adopts theory building approach based on multiple case studies. The units of analysis are carbon reduction project of focal firms and initiatives of Non-Government Organizations (NGO). Drawing upon the cases, this research develops a general framework for developing low-carbon supply network, including three parts namely network influence, network CO2 measurement, and network CO2 improvement (IMI), with the three process models accordingly proposed. In the ‘influence’ process, based on resource dependence theory (RDT), this research illustrates a categorization of influence choices and a typology of influence pathways, which both underpin the four-step influence procedure proposed later. In the ‘measurement’ process, this research proposes a goal-oriented carbon footprint measurement guideline. In the “improvement’ process, an initial framework to classify carbon reduction projects and implementation process model of these projects are both built based …
author: Hu, Jialun
language: en
keywords: low carbon supply network, sustainable industrial system, carbon footprint measurement
license: https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/a5901135-f23d-4850-ba74-cc3e9a84afd4/download
license: https://www.rioxx.net/licenses/all-rights-reserved/
date published: 2018-04-28
date modified: 2026-07-22T22:24:21Z
provider: Cambridge University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Cambridge

PropertyValue
property ID: DOI
value: 10.17863/CAM.22083