EconPapers    
Economics at your fingertips  
 

Carbon Footprint Calculator Customized for Rice Products: Concept and Characterization of Rice Value Chains in Southeast Asia

Reiner Wassmann, Nguyen Van-Hung, Bui Tan Yen, Martin Gummert, Katherine M. Nelson, Shabbir H. Gheewala and Bjoern Ole Sander
Additional contact information
Reiner Wassmann: International Rice Research Institute, Los Banos 4030, Philippines
Nguyen Van-Hung: International Rice Research Institute, Los Banos 4030, Philippines
Bui Tan Yen: International Rice Research Institute, Los Banos 4030, Philippines
Martin Gummert: International Rice Research Institute, Los Banos 4030, Philippines
Katherine M. Nelson: International Rice Research Institute, Los Banos 4030, Philippines
Shabbir H. Gheewala: The Joint Graduate School of Energy and Environment, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand
Bjoern Ole Sander: International Rice Research Institute, Los Banos 4030, Philippines

Sustainability, 2021, vol. 14, issue 1, 1-21

Abstract: In this study, we developed user-friendly software ( CF-Rice ) for calculating the carbon footprints (CF) of rice products. The approach follows the principles of Life Cycle Assessment while incorporating more flexibility for activities specific to rice production. The graphical user interface provides empirical emission and conversion factors obtained from the literature and from primary research studies of rice value chains. CF-Rice also allows the entering of new values for specific processes or practices. Data outputs distinguish among the contributions of individual stages of the value chain as well as different greenhouse gases (GHG), namely, CH 4 , N 2 O and CO 2 . The new tool was then applied to a scenario assessment of rice production in the regional context of Southeast Asia. The CF baseline of a typical rice value chain in the region accounted for a value of around 2300 g CO 2 e/kg Prod . The CF can be reduced by about 27.4% through water-saving practices alone and can further be reduced up to 37.3% through interventions that increase product recovery rates and, thus, reduce food losses. In contrast, straw incorporation into the soil increased the CF by 26.0%. The tool is well suited for impact assessments of advanced practices and technologies of rice value chains.

Keywords: greenhouse gas; water management; fertilizers; milling; straw management; post-harvest; product recovery; by-products; export (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/1/315/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/1/315/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2021:i:1:p:315-:d:713234

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jsusta:v:14:y:2021:i:1:p:315-:d:713234