Analysis of Agricultural Food Crop Productivity Planning District-District in East Java Province of Indonesia with A Non-Parametric Approach

Abid Muhtarom, Tri Haryanto, Nurul Istifadah

Abstract


The importance of food crop agriculture efficiency could be used today. Because we know that more inefficiencies in the agricultural sector of food crops illustrate that productivity has not run maximally. DEA is used in this study as an appropriate approach by using a non-parametric method. The production unit is in the form of a decision making unit (DMU) in which the DMU in this study is a food crop agricultural sub-sector in 29 districts in East Java. There occurred inefficiency of as many as 44.8 percent (29 districts) in East Java in 2017 for having the average efficiency score of less than 0.69, while the rest achieved the average technical efficiency of more than 0.31.


Keywords


DEA; land; labor; productivity

References


Bayyurt, Nizamettin, et al (2012). The Impacts of Governance and Education on Agricultural Efficiency: An International Analysis. 8th International Strategic Management Conference.

Procedia - Social and Behavioral Sciences 58 ( 2012 ) 1158 – 1165. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the 8th International StrategicManagement Conference Open access under CC BY-NC-ND license.

Coelli, T.J., Rao, D.S.P., O'Donnell, C.J., and Battese, G.E. (2005). An Introduction to Efficiency and Productivity Analysis. Second Edition. United States: Springer Science & Business Media, Inc

Dhrifi (2013). Agricultural Productivity And Poverty Alleviationwhat Role For Technological Innovation. Journal OfEconomic And Social Studies. Vol.04. Number 01. Spring 2014

Emran, M. Shahe,et al (2018). Beyond dualism: Agricultural productivity, small towns, and structural change in Bangladesh. World Development. journal homepage: www.elsevier.com/locate/worlddev

Emran, Shahe, et al ( 2016). Agricultural Productivity, Hired Labor, Wages, and Poverty: Evidence from Bangladesh. http://dx.doi.org/10.1016/j.worlddev.2016.12.009. World Development Vol. xx, pp. xxx–xxx, 2017, 0305-750X/ 2016 Published by Elsevier Ltd.

El-Din , et al (2008).Agricultural Productivity Growth, Employment And Poverty In Egypt.Working Paper No. 129, February 2008

Giannakis, Elias, et al (2018). Exploring the labour productivity of agricultural systems across European regions: A multilevel approach. Land Use Policy 77 (2018) 94–106, https://doi.org/10.1016/j.landusepol.2018.05.037. Received 11 December 2017; Received in revised form 27 March 2018; Accepted 18 May 2018

Gong, Binlei (2017). Agricultural reforms and production in China: Changes in provincial production function and productivity in 1978–2015. Journal of Development Economics. https://doi.org/10.1016/j.jdeveco.2017.12.005. Received 11 April 2017; Received in revised form 12 October 2017; Accepted 20 December 2017

Irz,et al.(2001). Agricultural Productivity Growth and Poverty Alleviation.Development Policy Review, 2001, 19 (4): 449-466

Kheir-El-Din, Hanaa, et al (2008).Agricultural Productivity Growth, Employment And Poverty In Egypt.Working Paper No. 129, February 2008

Li, Nan,et al (2017). Analysis of Agriculture Total-Factor Energy Efficiency in China Based on DEA and Malmquist indices. 9th International Conference on Applied Energy, ICAE2017, 21-24 August 2017, Cardiff, UK. Energy Procedia 142 (2017) 2397–2402

Majid, Nomaan (2004). Reaching Millennium Goals:How well does agricultural productivity growth reduce poverty?. Employment Analysis Unit Employment Strategy Department

Narayanamoorthy, 2015. Impact of Irrigation on Agricultural Growth and Poverty Alleviation: Macro Level Analyses in India. Water Policy Research. IWMI-TATA water policy program

Ogundipe,et al. 2015.Gricultural productivity, poverty reduction and inclusive growth in africa: linkages and pathways. Electronic copy available at: https://ssrn.com/abstract=2856449

Song, Wei (2016). Changes in productivity, efficiency and technology of China's crop production under rural restructuring. Journal of Rural Studies. ttp://dx.doi.org/10.1016/j.jrurstud.2016.07.023. 0743-0167/© 2016 Elsevier Ltd. All rights reserved

Toma, Pierluigi,et al(2017). A non-parametric bootstrap-data envelopment analysis approach for environmental policy planning and management of agricultural efficiency in EU countries. Ecological Indicators. http://dx.doi.org/10.1016/j.ecolind.2017.07.049. Received 21 April 2017; Received in revised form 25 July 2017; Accepted 25 July 2017

Travers, et al (1994). Agricultural ProductivityRural Poverty In China. China Economic Review, Volume 4, Number 1, 1994, Pages 141-159. Issn: 1043-951x.




DOI: https://doi.org/10.21107/mediatrend.v14i1.4832



Copyright (c) 2019 Media Trend

Creative Commons License

Mediatrend © 2015 - Journal of Economic & Development Studies | Development Economics Program - Faculty of Economics and Bussiness, Trunojoyo University
DESKRIPSI GAMBAR DESKRIPSI GAMBAR