Calculating the energy input and carbon emission of chili production in Zamboanga City, Philippines

Paper Details

Research Paper 08/08/2024
Views (957)
current_issue_feature_image
publication_file

Calculating the energy input and carbon emission of chili production in Zamboanga City, Philippines

Guiller A. Ellomer
J. Biodiv. & Environ. Sci. 25(2), 136-143, August 2024.
Copyright Statement: Copyright 2024; The Author(s).
License: CC BY-NC 4.0

Abstract

One of the major concerns of today’s agricultural sectors is sustainability, which aims to address issues with crop processing as well as environmental repercussions. As the population’s need for resources grows, so does the demand for energy to provide these resources, which is now at an all-time high. This is where the accounting of energy and carbon emissions is needed to limit energy inputs as much as possible, thus increasing the output of such goods. However, the focus of the study was on calculating the energy input and carbon emission of Chili Production in Zamboanga City, Philippines. The study revealed that out of all the farm operations involve in the said production the crop establishment is considered as the energy hotspot with 3,092.93 Mcal ha-1 or 56.10% (270.98 LDOE) and with 1,073.08 CO2e. Thus, indirect energy input was also recorded with high energy inputs and considered as the energy hotspot with 5,399.37 Mcal ha-1 or 97.93% (473.05 LDOE) and with 1,873.28 CO2e. Thus, the lowest energy inputs revealed in the study is embedded energy inputs with 46.33 Mcal ha-1 or 0.84% (4.06 LDOE) as well carbon emission with 16.078 CO2e.The farm operation with lowest energy inputs and carbon emission is said to be the crop management with 118.19 Mcal ha-1 or 2.14% (10.36 LDOE) and 41.03 CO2e. Concerned agencies should seek out alternative methods of carrying out farm operations involving agents or conditions that influence crop output. This is done to boost production yields while lowering energy consumption.

Asadnabizadeh M. 2019. Development of UN Framework Convention on Climate Change Negotiations under COP25: Article 6 of the Paris Agreement perspective. Open Political Science 2(1), 113–119. https://doi.org/10.1515/openps-2019-0012

Beddington JB, Asaduzzaman M, Clark ME, Bremauntz AF, Guillou M, Howlett DJB, Jahn MM, Lin E, Negra C, Nobre CA, Scholes RJ, Van Bo N, Wakhungu J. 2012. What next for agriculture after Durban? Science 335(6066), 289–290. https://doi.org/10.1126/science.1217941

Bodansky D, Diringer E. 2010. The Evolution of International Regimes: Implications for climate change. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1773828

Butler CD, Ewald B, McGain F, Kiang K, Sanson A. 2021. Climate change and human health. In Springer eBooks (pp. 51–68). https://doi.org/10.1007/978-3-030-78795-0_4

Friman M, Hjerpe M. 2014. Agreement, significance, and understandings of historical responsibility in climate change negotiations. Climate Policy 15(3), 302–320. https://doi.org/10.1080/14693062.2014.916598

Gliessman SR. 2014. Agroecology. In CRC Press eBooks. https://doi.org/10.1201/b17881

Gundogmus E. 2013. Energy efficiency and econometric analysis of HOPs production in Turkey. Asian Journal of Plant Sciences 12(2), 71–78. https://doi.org/10.3923/ajps.2013.71.78

Hoffman E, Cavigelli MA, Camargo G, Ryan M, Ackroyd VJ, Richard TL, Mirsky S. 2018. Energy use and greenhouse gas emissions in organic and conventional grain crop production: Accounting for nutrient inflows. Agricultural Systems 162, 89–96. https://doi.org/10.1016/j.agsy.2018.01.021

Kastner T, Rivas MJI, Koch W, Nonhebel S. 2012. Global changes in diets and the consequences for land requirements for food. Proceedings of the National Academy of Sciences 109(18), 6868–6872. https://doi.org/10.1073/pnas.1117054109

Ledgard S, Basset-Mens C, Mclaren S, Boyes M. 2007. Energy use, “food miles” and greenhouse gas emissions from New Zealand dairying – how efficient are we? Proceedings of the New Zealand Grassland Association 69, 223–228. https://doi.org/10.33584/jnzg.2007.69.2665

Lockeretz W. 1981. On-farm fuel alcohol production: Economic considerations and implications for farm management. Energy in Agriculture 1, 171–184. https://doi.org/10.1016/0167-5826(81)90015-2

McNutt M. 2013. Climate change impacts. Science 341(6145), 435. https://doi.org/10.1126/science.1243256

Mendoza TC. 2014. Reducing the carbon footprint of sugar production in the Philippines. Journal of Agricultural Technology 10(1), 289–308.

Pimentel D. 2019. Handbook of Energy Utilization in Agriculture. In CRC Press eBooks. https://doi.org/10.1201/9781351072519

Singh H, Mishra D, Nahar N. 2002. Energy use pattern in production agriculture of a typical village in arid zone, India—part I. Energy Conversion and Management 43(16), 2275–2286. https://doi.org/10.1016/s0196-8904(01)00161-3

Tabal EP, Mendoza TC, Paelmo RF, Garcia JNM, Visco RG. 2021. Energy inputs of selected agroforestry systems in Zamboanga City, Philippines. American Journal of Agriculture and Forestry 9(3), 106. https://doi.org/10.11648/j.ajaf.20210903.12

Tabal EP. 2022. Carbon emission equivalent of net energy use to produce white corn in Zamboanga City, Philippines. International Journal of Agriculture and Environmental Research 8(3), 462–475. https://doi.org/10.51193/ijaer.2022.8306

The carbon footprint of sugar production in eastern Batangas, Philippines. 2015. In CRC Press eBooks pp. 470–491. https://doi.org/10.1201/b18929-24

Yilmaz I, Akcaoz H, Ozkan B. 2005. An analysis of energy use and input costs for cotton production in Turkey. Renewable Energy 30(2), 145–155. https://doi.org/10.1016/j.renene.2004.06.001

Related Articles

SWAT+-based water balance assessment of Ipil watershed in Bohol, Philippines: Spatial and temporal patterns of water availability

Anselmo M. Aurestila*, Proceso M. Castil, Manolito C. Macalolot, J. Biodiv. & Environ. Sci. 28(6), 30-41, June 2026.

Spatiotemporal modeling of surface urban heat island and the influence of land cover changes in land surface temperature in Cagayan de Oro City, Misamis Oriental, Mindanao, Philippines

John Oliver R. Abian*, Peter D. Suson, Jaime Q. Guihawan, Hilly Ann Roa-Quiaoit, Elizabeth Edan M. Albiento, J. Biodiv. & Environ. Sci. 28(6), 17-29, June 2026.

Language and culture: Prerequisites for human capital development and enhanced household food security among vulnerable women farmers in Imo State, Nigeria

N. F. Nwulu, M. O. Igwenagu, G. U. Amadi, F. D. Anuonye, G. N. Ogbonna, C. F. Obumneke, S. U. Obasi, J. C. Onyeakazi, C. G. Iroagba, N. C. Anigbogu, K. U. Chukwu, C. G. Opara, E. N. Onuoha, N. U. Nzotta, C. R. Ayozie, B. N. Igbokwe, L. O. Duru, O. V. Obiagwu, C. I. Ahumaraeze, U. A. Agwuocha, J. U. Chikaire*, J. Biodiv. & Environ. Sci. 28(6), 1-16, June 2026.

Ziziphus spina-christi as a bioindicator of heavy metals (Cu, Cd) in Baghdad, Iraq

Israa Radhi Khudhair*, J. Biodiv. & Environ. Sci. 28(5), 45-49, May 2026.

Language choice for natural resource conservation and agricultural production information sharing and communication strategies for improved livelihoods among rural farmers in Southeast, Nigeria

N. F. Nwulu, C. F. Obumneke, S. U. Obasi, J. C. Onyeakazi, C. G. Iroagba, N. C. Anigbogu, K. U. Chukwu, C. G. Opara, E. N. Onuoha, C. R. Ayozie, B. N. Igbokwe, L. O. Duru, O. V. Obiagwu, M. O. Igwenagu, G. U. Amadi, F. D. Anuonye, G. N. Ogbonna, N. U. Nzotta, C. I. Ahumaraeze, U. A. Agwuocha, J. U. Chikaire*, J. Biodiv. & Environ. Sci. 28(5), 27-44, May 2026.

Correlates of students’ beliefs on environmental protection: Awareness, compliance, and sociodemographic influences

Anderson G. Gonzales*, Cyrus Kelly Macabangon, Dexter Dumayag, J. Biodiv. & Environ. Sci. 28(5), 18-26, May 2026.

Prevalence of phosphate solubilising bacteria in Muthupet Mangrove Reserve

S. Alice Keerthana, V. Shanmugaraju*, M. Poongothai, P. Arun, J. Biodiv. & Environ. Sci. 28(5), 9-17, May 2026.

The bush mango value chain in South West Cameroon: Governance, sustainability and emerging opportunities

Louis Njie Ndumbe*, Agbor Mc Nasare, Baliki Winifred, J. Biodiv. & Environ. Sci. 28(5), 1-8, May 2026.