Research article

Energy efficiency measurement of arrowroot production of Vietnam

  • Received: 01 December 2020 Accepted: 07 February 2021 Published: 03 March 2021
  • Energy efficiency along with friendly agricultural production is becoming one of the priority concerns of many countries in the world including Vietnam. The objective of this study was to estimate energy indicators and to determine the number of optimum energy inputs of arrowroot farms in Backan province regarding different regions and farm categories by using data envelopment analysis (DEA) technique. Findings unveiled that arrowroot farms in Nari district had high energy indicators, i.e., energy ratio, energy productivity, net energy, as compared to other farms in Babe district. The technical and pure technical efficiency and the amount of potential GHG emission reduction found to be higher in Babe district than that in Nari district. Farms in Nari district had opportunities to reduce energy input with slightly higher than that in Babe district (54.54% and 53.61%, respectively). Regarding farm sizes, other than specific energy, small arrowroot farms had the highest energy indicators as compared to other farm size groups. Thus, small farms had the quantity of optimum energy input (392.76 MJ acre-1), saving energy (509.70 MJ acre-1) and amount of GHG emission reduction (4.26 kg CO2-eq/acre) which were more than the others. Based on the results of this study, the suggested solutions to improve the energy efficiency and reduce the adverse effects of arrowroot production to the environment should focus on developing the extension activities as well as short technological training courses for farmers addressing on raising awareness of energy conservation when applying chemical fertilizer and other input factors.

    Citation: Hien Thi Vu, Ke-Chung Peng, Rebecca H. Chung, Huong Thi Dao, Trung Quang Ha, Giang Thi Nguyen. Energy efficiency measurement of arrowroot production of Vietnam[J]. AIMS Energy, 2021, 9(2): 326-341. doi: 10.3934/energy.2021017

    Related Papers:

  • Energy efficiency along with friendly agricultural production is becoming one of the priority concerns of many countries in the world including Vietnam. The objective of this study was to estimate energy indicators and to determine the number of optimum energy inputs of arrowroot farms in Backan province regarding different regions and farm categories by using data envelopment analysis (DEA) technique. Findings unveiled that arrowroot farms in Nari district had high energy indicators, i.e., energy ratio, energy productivity, net energy, as compared to other farms in Babe district. The technical and pure technical efficiency and the amount of potential GHG emission reduction found to be higher in Babe district than that in Nari district. Farms in Nari district had opportunities to reduce energy input with slightly higher than that in Babe district (54.54% and 53.61%, respectively). Regarding farm sizes, other than specific energy, small arrowroot farms had the highest energy indicators as compared to other farm size groups. Thus, small farms had the quantity of optimum energy input (392.76 MJ acre-1), saving energy (509.70 MJ acre-1) and amount of GHG emission reduction (4.26 kg CO2-eq/acre) which were more than the others. Based on the results of this study, the suggested solutions to improve the energy efficiency and reduce the adverse effects of arrowroot production to the environment should focus on developing the extension activities as well as short technological training courses for farmers addressing on raising awareness of energy conservation when applying chemical fertilizer and other input factors.



    加载中


    [1] Duc Luong N (2015) A critical review on energy efficiency and conservation policies and programs in Vietnam. Renew Sust Energ Rev 52: 623-634. doi: 10.1016/j.rser.2015.07.161
    [2] Chansri R, Puttanlek C, Rungsadthogy V, et al. (2005) Characteristics of clear noodles prepared from edible canna starches. J Food Sci 70: 337-342. doi: 10.1111/j.1365-2621.2005.tb09988.x
    [3] Vankar P, Srivastava J (2018) A review-canna the wonder plant. J Textile Eng Fashion Technol 4: 158-162.
    [4] Imai K, Kiya R (2017) A mechanical study on the mitigation of lodging in edible canna. Plant Prod Sci 20: 55-66. doi: 10.1080/1343943X.2016.1255148
    [5] Okonwu K, Ariaga C (2016) Nutritional evaluation of various parts of Canna indica. L Annu Res Rev Biol, 1-5.
    [6] Thitipraphunkul K, Uttapap D, Piyachomkwan K, et al. (2003) A comparative study of edible canna (Canna edulis) starch from different cultivars. Part Ⅱ. Molecular structure of amylose and amylopectin. Carbohydr Polym 54: 489-498. doi: 10.1016/j.carbpol.2003.08.003
    [7] Vu HT, Peng K-C, Chung RH (2020) Efficiency measurement of edible canna production in Vietnam. AIMS Agri Food 5: 466-479. doi: 10.3934/agrfood.2020.3.466
    [8] Mardani A, Kazimieras ZE, Dalia S, et al. (2017) A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency. Renew Sustain Energy Rev 70: 1298-1322. doi: 10.1016/j.rser.2016.12.030
    [9] Mohammadi A, Rafiee S, Mohtasebi SS, et al. (2011) Energy efficiency improvement and input cost saving in kiwifruit production using Data Envelopment Analysis approach. Renew Energy 36: 2573-2579. doi: 10.1016/j.renene.2010.10.036
    [10] Coluccia B, Valente D, Fusco G, et al. (2020) Assessing agricultural eco-efficiency in Italian Regions. Ecol Indic 116: 106-483. doi: 10.1016/j.ecolind.2020.106483
    [11] Nabavi-Pelesaraei A, Abdi R, Rafiee S, et al. (2014). Applying data envelopment analysis approach to improve energy efficiency and reduce greenhouse gas emission of rice production. Eng Agri Env Food 7: 155-162. doi: 10.1016/j.eaef.2014.06.001
    [12] Gatimbu KK, Ogada MJ, Budambula NL (2019) Environmental efficiency of small-scale tea processors in Kenya: an inverse data envelopment analysis (DEA) approach. Environ Dev Sustain, 1-13.
    [13] Toma P, Miglietta PP, Zurlini G (2017) A non-parametric bootstrap-data envelopment analysis approach for environmental policy planning and management of agricultural efficiency in EU countries. Ecol Indic 83: 132-143. doi: 10.1016/j.ecolind.2017.07.049
    [14] Banaeian N, Zangeneh M (2011) Study on energy efficiency in corn production of Iran. Energy 36: 5394-5402. doi: 10.1016/j.energy.2011.06.052
    [15] Houshyar E, Azadi H, Almassi M, et al. (2012) Sustainable and efficient energy consumption of corn production in Southwest Iran: combination of multi-fuzzy and DEA modeling. Energy 44: 672-681. doi: 10.1016/j.energy.2012.05.025
    [16] Nassiri SM, Singh S (2009) Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique. Appl Energy 86: 1320-1325. doi: 10.1016/j.apenergy.2008.10.007
    [17] Masuda K (2018) Energy efficiency of intensive rice production in Japan: an application of data envelopment analysis. Sustainability 10: 120. doi: 10.3390/su10010120
    [18] Unakitan G, Hurma H, Yilmaz F (2010) An analysis of energy use efficiency of canola production in Turkey. Energy 35: 3623-3627. doi: 10.1016/j.energy.2010.05.005
    [19] Mousavi-Avval SH, Rafiee S, Jafari A, et al. (2011) Improving energy use efficiency of canola production using data envelopment analysis (DEA) approach. Energy 36: 2765-2772. doi: 10.1016/j.energy.2011.02.016
    [20] Khoshnevisan B, Rafiee S, Omid M, et al. (2013) Reduction of CO2 emission by improving energy use efficiency of greenhouse cucumber production using DEA approach. Energy 55: 676-682. doi: 10.1016/j.energy.2013.04.021
    [21] Mohammadshirazi A, Akram A, Rafiee S, et al. (2015) On the study of energy and cost analyses of orange production in Mazandaran province. Sustain Energy Technol Ass 10: 22-28.
    [22] Kordkheili PQ, Asoodar MA, Kazemi N (2014) Application of a non-parametric method to analyze energy consumption for orange production. Agri Eng Int: CIGR Journal 16: 157-166.
    [23] Khoshroo A, Mulwa R, Emrouznejad A, et al. (2013) A non-parametric Data Envelopment Analysis approach for improving energy efficiency of grape production. Energy 63(Supplement C): 189-194. doi: 10.1016/j.energy.2013.09.021
    [24] Sattari-Yuzbashkandi S, Khalilian S, Abolghasem-Mortazavi S (2014) Energy efficiency for open-field grape production in Iran using Data Envelopment Analysis (DEA) approach. Int J Farm Allied Sci 3: 637-646.
    [25] Banaeian N, Omid M, Ahmadi H (2011) Energy and economic analysis of greenhouse strawberry production in Tehran province of Iran. Energy Convers Manag 52: 1020-1025. doi: 10.1016/j.enconman.2010.08.030
    [26] Castella J-C, Dang DQ, Long TD, et al. (2002) Scaling up local diagnostic studies to understand development issues in a heterogeneous mountain environment: An introduction to the SAM Program. DoiMoi in the Mountains. Land use changes and farmers' livelihood strategies in Bac Kan Province, Viet Nam. The Agricultural Publishing House, Hanoi: 1-18.
    [27] Son HN, Chi DTL, Kingsbury A (2019) Indigenous knowledge and climate change adaptation of ethnic minorities in the mountainous regions of Vietnam: A case study of the Yao people in Bac Kan Province. Agr Syst 176: 102-683.
    [28] BKSO (2019) Backan Statistical Yearbook 2018. Statistical Publishing House, Hanoi.
    [29] Mousavi-Avval SH, Rafiee S, Jafari A, et al. (2011) Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach. Appl Energy 88: 3765-3772. doi: 10.1016/j.apenergy.2011.04.021
    [30] Al-Snafi AE (2015) Bioactive components and pharmacological effects of Canna indica-An Overview. Int J Pharmacol Toxicol 5: 71-75.
    [31] Cooper WW, Seiford LM, Zhu J (2011) Handbook on data envelopment analysis. Int Ser Oper Res Manage Sci. Available from: https://link.springer.com/book/10.1007%2F978-1-4419-6151-8.
    [32] Ali Q, Khan M, Ashfaq M (2018) Efficiency analysis of off-season Capsicum/Bell pepper production in Punjab-Pakistan: A DEA approach. J Anim Plant Sci 28: 1508-1515.
    [33] Mobtaker HG, Akram A, Keyhani A, et al. (2012) Optimization of energy required for alfalfa production using data envelopment analysis approach. Energy sus Dev 16: 242-248. doi: 10.1016/j.esd.2012.02.001
    [34] Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2: 429-444. doi: 10.1016/0377-2217(78)90138-8
    [35] Avkiran NK (2001) Investigating technical and scale efficiencies of Australian universities through data envelopment analysis. Soc econ plann sci 35: 57-80. doi: 10.1016/S0038-0121(00)00010-0
    [36] Banker RD, Charnes A, Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag Sci 30: 1078-1092. doi: 10.1287/mnsc.30.9.1078
    [37] Chauhan NS, Mohapatra PK, Pandey KP (2006) Improving energy productivity in paddy production through benchmarking-An application of data envelopment analysis. Energy convers Manag 47: 1063-1085. doi: 10.1016/j.enconman.2005.07.004
  • Reader Comments
  • © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(2340) PDF downloads(119) Cited by(0)

Article outline

Figures and Tables

Figures(1)  /  Tables(10)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog