IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v85y2023ics0038012122002373.html
   My bibliography  Save this article

Eco-efficiency assessment of Malaysian rice self-sufficiency approach

Author

Listed:
  • Nodin, Mohd Norazmi
  • Mustafa, Zainol
  • Hussain, Saiful Izzuan

Abstract

The self-sufficiency approach has emerged on the food security agenda, although some economists view this approach as misguided, costly, and influenced by political imperatives ahead of economic and environmental efficiency. Besides, the assessment of this approach is still rare in the eco-efficiency study. This paper assesses the Malaysian rice self-sufficiency (RSS) eco-efficiency performance from 2009 to 2018. The nonradial slack-based measure (SBM) undesirable output and the window analysis DEA procedures were conducted to evaluate the RSS eco-efficiency performance. We also performed the Malmquist-Luenberger (ML) index calculation to measure the productivity change over time. The results suggest that the RSS eco-efficiency performance at the national level showed deterioration, although the country managed to elevate the production level. Based on the geographical analysis, the developed areas relatively had higher efficiency scores indicating that these areas also had a high economic and environmental performance. Meanwhile, the ML index evaluation at the national and regional level generally experienced deterioration. The future of RSS approach could be improved, mainly through the empowerment of good agricultural practices (GAPs), modernizing the infrastructures, efficient agrochemicals usage, etc.

Suggested Citation

  • Nodin, Mohd Norazmi & Mustafa, Zainol & Hussain, Saiful Izzuan, 2023. "Eco-efficiency assessment of Malaysian rice self-sufficiency approach," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    • Handle: RePEc:eee:soceps:v:85:y:2023:i:c:s0038012122002373
    DOI: 10.1016/j.seps.2022.101436
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012122002373
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.seps.2022.101436?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Oleg Badunenko & Pavlo Mozharovskyi, 2016. "Nonparametric frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 550-589, September.
    2. Du, Juan & Chen, Yao & Huang, Ying, 2018. "A Modified Malmquist-Luenberger Productivity Index: Assessing Environmental Productivity Performance in China," European Journal of Operational Research, Elsevier, vol. 269(1), pages 171-187.
    3. Charles, Vincent & Aparicio, Juan & Zhu, Joe, 2019. "The curse of dimensionality of decision-making units: A simple approach to increase the discriminatory power of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 279(3), pages 929-940.
    4. Yang, Shang-Shyng & Lai, Chao-Ming & Chang, Hsiu-Lan & Chang, Ed-Huan & Wei, Chia-Bei, 2009. "Estimation of methane and nitrous oxide emissions from paddy fields in Taiwan," Renewable Energy, Elsevier, vol. 34(8), pages 1916-1922.
    5. Picazo-Tadeo, Andrés J. & Beltrán-Esteve, Mercedes & Gómez-Limón, José A., 2012. "Assessing eco-efficiency with directional distance functions," European Journal of Operational Research, Elsevier, vol. 220(3), pages 798-809.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    8. Kaoru Tone, 2011. "Slacks-Based Measure of Efficiency," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 195-209, Springer.
    9. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    10. Atici, Kazim Baris & Podinovski, Victor V., 2015. "Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture," Omega, Elsevier, vol. 54(C), pages 72-83.
    11. Saturnina C. Halos, 2005. "A Century of Rice Innovations," Trade Working Papers 22635, East Asian Bureau of Economic Research.
    12. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
    13. Clapp, Jennifer, 2017. "Food self-sufficiency: Making sense of it, and when it makes sense," Food Policy, Elsevier, vol. 66(C), pages 88-96.
    14. Dyckhoff, H. & Allen, K., 2001. "Measuring ecological efficiency with data envelopment analysis (DEA)," European Journal of Operational Research, Elsevier, vol. 132(2), pages 312-325, July.
    15. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, December.
    16. Monchuk, Daniel C. & Chen, Zhuo & Bonaparte, Yosef, 2010. "Explaining production inefficiency in China's agriculture using data envelopment analysis and semi-parametric bootstrapping," China Economic Review, Elsevier, vol. 21(2), pages 346-354, June.
    17. Halos, Saturnina C., 2005. "A Century of Rice Innovations," Discussion Papers DP 2005-12, Philippine Institute for Development Studies.
    18. Joko Mariyono, 2018. "Productivity growth of Indonesian rice production: sources and efforts to improve performance," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 67(9), pages 1792-1815, November.
    19. Fare, R. & Grabowski, R. & Grosskopf, S. & Kraft, S., 1997. "Efficiency of a fixed but allocatable input: A non-parametric approach," Economics Letters, Elsevier, vol. 56(2), pages 187-193, October.
    20. Jiaxing Pang & Xingpeng Chen & Zilong Zhang & Hengji Li, 2016. "Measuring Eco-Efficiency of Agriculture in China," Sustainability, MDPI, vol. 8(4), pages 1-15, April.
    21. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    22. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    23. Shafie, S.M. & Masjuki, H.H. & Mahlia, T.M.I., 2014. "Life cycle assessment of rice straw-based power generation in Malaysia," Energy, Elsevier, vol. 70(C), pages 401-410.
    24. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
    25. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, December.
    26. Nodin, Mohd Norazmi & Mustafa, Zainol & Hussain, Saiful Izzuan, 2022. "Assessing rice production efficiency for food security policy planning in Malaysia: A non-parametric bootstrap data envelopment analysis approach," Food Policy, Elsevier, vol. 107(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nodin, Mohd Norazmi & Mustafa, Zainol & Hussain, Saiful Izzuan, 2022. "Assessing rice production efficiency for food security policy planning in Malaysia: A non-parametric bootstrap data envelopment analysis approach," Food Policy, Elsevier, vol. 107(C).
    2. Joanna Domagała, 2021. "Economic and Environmental Aspects of Agriculture in the EU Countries," Energies, MDPI, vol. 14(22), pages 1-23, November.
    3. Falavigna, G. & Ippoliti, R., 2020. "The socio-economic planning of a community nurses programme in mountain areas: A Directional Distance Function approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    4. Trinks, Arjan & Mulder, Machiel & Scholtens, Bert, 2020. "An Efficiency Perspective on Carbon Emissions and Financial Performance," Ecological Economics, Elsevier, vol. 175(C).
    5. Cheng, Gang & Qian, Zhenhua, 2011. "Dea数据标准化方法及其在方向距离函数模型中的应用 [Data normalization for data envelopment analysis and its application to directional distance function]," MPRA Paper 31995, University Library of Munich, Germany.
    6. Jindal, Abhinav & Nilakantan, Rahul, 2021. "Falling efficiency levels of Indian coal-fired power plants: A slacks-based analysis," Energy Economics, Elsevier, vol. 93(C).
    7. Beltrán-Esteve, Mercedes & Picazo-Tadeo, Andrés J., 2017. "Assessing environmental performance in the European Union: Eco-innovation versus catching-up," Energy Policy, Elsevier, vol. 104(C), pages 240-252.
    8. Juan Aparicio & Magdalena Kapelko, 2019. "Enhancing the Measurement of Composite Indicators of Corporate Social Performance," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 807-826, July.
    9. Xiaoqing Wang & Qiuming Wu & Salman Majeed & Donghao Sun, 2018. "Fujian’s Industrial Eco-Efficiency: Evaluation Based on SBM and the Empirical Analysis of lnfluencing Factors," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    10. Xingle Long & Yusen Luo & Huaping Sun & Gang Tian, 2018. "Fertilizer using intensity and environmental efficiency for China’s agriculture sector from 1997 to 2014," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1573-1591, July.
    11. Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
    12. Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Applied Energy, Elsevier, vol. 132(C), pages 137-154.
    13. Pastor, Jesus T. & Lovell, C.A. Knox & Aparicio, Juan, 2020. "Defining a new graph inefficiency measure for the proportional directional distance function and introducing a new Malmquist productivity index," European Journal of Operational Research, Elsevier, vol. 281(1), pages 222-230.
    14. Hirofumi Fukuyama & Yuichiro Yoshida & Shunsuke Managi, 2011. "Modal choice between air and rail: a social efficiency benchmarking analysis that considers CO 2 emissions," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 13(2), pages 89-102, June.
    15. Mercedes Beltrán-Esteve & José Gómez-Limón & Andrés Picazo-Tadeo & Ernest Reig-Martínez, 2014. "A metafrontier directional distance function approach to assessing eco-efficiency," Journal of Productivity Analysis, Springer, vol. 41(1), pages 69-83, February.
    16. Fukuyama, Hirofumi & Weber, William L., 2010. "A slacks-based inefficiency measure for a two-stage system with bad outputs," Omega, Elsevier, vol. 38(5), pages 398-409, October.
    17. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
    18. Harald Dyckhoff, 2018. "Multi-criteria production theory: foundation of non-financial and sustainability performance evaluation," Journal of Business Economics, Springer, vol. 88(7), pages 851-882, September.
    19. Dorota Ciołek & Anna Golejewska, 2022. "Efficiency Determinants of Regional Innovation Systems in Polish Subregions," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 24-45.
    20. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:85:y:2023:i:c:s0038012122002373. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.