Impact of Application of Geoisolator in Saltworks Business in East Java Province: A Propensity-Score Matching Approach

Aminah Happy Moninthofa Ariyani, . Harianto, . Suharno, Yusman Syaukat


 High quantity and high quality of salt are needed by the industrial sector in Indonesia, but the salt that is produced by farmers still has low quality. The application of geoisolator can increase the quantity and quality of salt produced by farmers. This study aims to analyze the impact of the application of geoisolator on productivity, selling prices, income, fixed costs, and variable costs of saltworks business in East Java Province. The study was conducted at the salt production center in Madura. The farmer survey was conducted in August-September 2018. Retrieval of respondents amounted to 190 respondents consisting of 131 geoisolator farmers and 59 traditional farmers. This study estimates the impact of applying a geoisolator using the Propensity Score Matching (PSM) technique. The results show that the application of geoisolator had an impact on increasing productivity, selling prices, income, and fixed costs, but lowering the variable costs of saltworks business. The government needs to provide investment credit for the purchase of geoisolator so that the goal of increasing production, competitiveness, and welfare of salt farmers can be achieved.



salt production, income, price, fixed cost, salt

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Ali A, Hussain I, Rahut DB, Erenstein O. 2018. Laser-Land Leveling Adoption and Its Impact on Water Use, Crop Yields and Household Income: Empirical Evidence from the Rice-Wheat System of Pakistan Punjab. Food Policy 77:p.19–32.

Baker JL. 2000. Evaluating the Impact of Development Projects on Poverty, Washington, D.C.: The World Bank.

Balde BS, Kobayashi H, Nohmi M, Ishida A, Matsumura I, Esham M, Tolno E. 2013. Socio-economic Analysis of Small-scale Salt Production Techniques in the Coastal Area of Guinea: as an Alternative for Improving Livelihood Status and Sustainable Mangrove Forest Management. International Journal of Research in Engineering, IT and Social Sciences 3(9):p.1–23.

BPPP Tegal. 2017. Pembuatan Garam Rakyat dengan Teknologi Geomembran.

Caliendo M, Kopeinig S. 2005. Some Practical Guidance for the Implementation of Propensity Score Matching, Berlin.

Challa M, Tilahun U. 2014. Determinants and Impacts of Modern Agricultural Technology Adoption. Journal of Biology, Agriculture and Healthcare 4(20):p.63–77.

Coelli TJ, Prasada Rao DS, O’Donnell CJ, Battese GE. 2005. An introduction to efficiency and productivity analysis 2nd ed., New York: Springer Science + Business Media, Inc.

Efendy M, Zainuri M, Hafiluddin. 2014. Intensifikasi Lahan Garam Rakyat di Kabupaten Sumenep. In Persembahan Program Studi Ilmu Kelautan untuk Maritim Madura. Bangkalan: UTM Press, pp. 22–43.

Gitonga ZM, De Groote H, Kassie M, Tefera T. 2013. Impact of Metal Silos on Households’ Maize Storage, Storage Losses and Food Security: An Application of a Propensity Score Matching. Food Policy 43:p.44–55.

Harris H, Horst SJ. 2016. A Brief Guide to Decisions at Each Step of the Propensity Score Matching Process. Practical Assessment, Research & Evaluation 21(4):p.1–11.

Heinrich C, Maffioli A, Vázquez G. 2010. A Primer for Applying Propensity-Score Matching:Impact-Evaluation Guidelines,

Hosmer DW, Lemeshow S, Sturdivant RX. 2013. Applied Logistic Regression Analysis 3rd ed., New Jersey: WILEY.

Kementerian Kelautan dan Perikanan. 2013. Garam Madura “Tradisi dan Potensi Usaha Garam Rakyat,” Jakarta.

Kementerian Perindustrian. 2018. Kebutuhan Garam Industri Melonjak 76,19% di 2018.

Manda J, Alene AD, Tufa AH, Abdoulaye T, Kamara AY, Olufajo O, Boukar O, Manyong VM. 2020. Adoption and Ex-post Impacts of Improved Cowpea Varieties on Productivity and Net Returns in Nigeria. Journal of Agricultural Economics 71(1):p.165–183.

Obayelu AE, Ojayi DO. 2018. Economic Impact and Determinants of Adoption of Improved Maize Production Technologies. Journal of Agricultural Sciences 63(2):p.217–228.

Scheirs J. 2009. A Guide to Polymeric Geomembranes, United Kingdom: WILEY.

Sedivy VM. 2009. Environmental Balance of Salt Production Speaks in Favour of Solar Saltworks. Global Nest Journal 11(1):p.41–48.

Singha C. 2019. Impact of the Adoption of Vegetative Soil Conservation Measures on Farm Profit, Revenue and Variable Cost in Darjeeling District, India. Environment and Development Economics 24(5):p.529–553.

Stuart EA. 2010. Matching Methods for Causal Inference with Time-Series Cross-Sectional Data. Stat Sci 25(1):p.1–21.

Suhendra A. 2016. Increasing the Productivity of Salt through HDPE Geomembrane — Indonesian Case History in Salt Evaporation Pond. Ejge 21:p.4273–4280.

Susanto H, Rokhati N, Santosa GW. 2015. Development of Traditional Salt Production Process for Improving Product Quantity and Quality in Jepara District, Central Java, Indonesia. In Procedia Environmental Sciences. Elsevier B.V., pp. 175–178.

USGS. 2019. Mineral Commodity Summaries (Salt), National Minerals Information Center.


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