Does sending farmers back to school increase technical efficiency of maize production? Impact assessment of a farmer field school programme in Indonesia

References

• Abdulai, A., & Huffman, W. (2014). The adoption and impact of soil and water conservation technology: An endogenous switching regression application. Land Economics, 90(1), 26–43. https://doi.org/10.3368/le.90.1.26
   Web of Science ®Google Scholar
• Admassu, T. H. (2015). The Impact of Farmer Field School Training on Farmers’ Technical Efficiency: Evidence from Smallholder Maize Farmers in Oromia, Ethiopia. European Journal of Training and Development Studies, 2(3), 1–28.
   Google Scholar
• Afrin, S., Haider, M. Z., & Islam, M. S. (2017). Impact of financial inclusion on technical efficiency of paddy farmers in Bangladesh. Agricultural Finance Review, 77(4), 484–505. https://doi.org/10.1108/AFR-06-2016-0058
   Web of Science ®Google Scholar
• Agus, F., Andrade, J. F., Rattalino Edreira, J. I., Deng, N., Purwantomo, D. K., Agustiani, N., Aristya, V. E., Batubara, S. F., Hosang, E. Y., Krisnadi, L. Y., Makka, A., Cenacchi, N., Wiebe, K., Grassini, P., Herniwati, & Samijan. (2019). Yield gaps in intensive rice-maize cropping sequences in the humid tropics of Indonesia. Field Crops Research, 237, 12–22., https://doi.org/10.1016/j.fcr.2019.04.006
   Web of Science ®Google Scholar
• Anang, B. T., Bäckman, S., & Rezitis, A. (2017). Production technology and technical efficiency: Irrigated and rain-fed rice farms in northern Ghana. Eurasian Economic Review, 7(1), 95–113. https://doi.org/10.1007/s40822-016-0060-y
   Web of Science ®Google Scholar
• Anderson, J. R., & Feder, G. (2004). Agricultural extension: Good intentions and hard realities. The World Bank Research Observer, 19(1), 41–60. https://doi.org/10.1093/wbro/lkh013
   Web of Science ®Google Scholar
• Assaf, A. G., & Josiassen, A. (2016). Frontier analysis: A state-of-the-art review and meta-analysis. Journal of Travel Research, 55(5), 612–627. https://doi.org/10.1177/0047287515569776
   Web of Science ®Google Scholar
• Baiyegunhi, L. J. S., Majokweni, Z. P., & Ferrer, S. R. D. (2019). Impact of outsourced agricultural extension program on smallholder farmers’ net farm income in Msinga, KwaZulu-Natal, South Africa. Technology in Society, 57, 1–7. https://doi.org/10.1016/j.techsoc.2018.11.003
   Web of Science ®Google Scholar
• Belek, A., & Jean Marie, A. N. (2021). The impact of microfinance services on the efficiency of family farms in Sub-Saharan Africa: the case of Cameroon. Agricultural Finance Review, 81(1), 21–38. https://doi.org/10.1108/AFR-02-2019-0021
   Web of Science ®Google Scholar
• BenYishay, A., & Mobarak, A. M. (2019). Social learning and incentives for experimentation and communication. The Review of Economic Studies, 86(3), 976–1009. https://doi.org/10.1093/restud/rdy039
   Web of Science ®Google Scholar
• Bren d‘Amour, C., Reitsma, F., Baiocchi, G., Barthel, S., Güneralp, B., Erb, K.-H., Haberl, H., Creutzig, F., & Seto, K. C. (2017). Future urban land expansion and implications for global croplands. Proceedings of the National Academy of Sciences of the United States of America, 114(34), 8939–8944. https://doi.org/10.1073/pnas.1606036114
   PubMed Web of Science ®Google Scholar
• Buehren, N., Goldstein, M., Molina, E., & Vaillant, J. (2019). The impact of strengthening agricultural extension services on women farmers: Evidence from Ethiopia. Agricultural Economics, 50(4), 407–419. https://doi.org/10.1111/agec.12499
   Web of Science ®Google Scholar
• Davis, K., Nkonya, E., Kato, E., Mekonnen, D. A., Odendo, M., Miiro, R., & Nkuba, J. (2012). Impact of farmer field schools on agricultural productivity and poverty in East Africa. World Development, 40(2), 402–413. https://doi.org/10.1016/j.worlddev.2011.05.019
   Web of Science ®Google Scholar
• Dhamankar, M., & Wongtschowski, M. (2014). Farmer field schools (FFS). Note 2. GFRAS Good Practice Notes for Extension and Advisory Services.
   Google Scholar
• Dubbert, C., Abdulai, A., & Mohammed, S. (2023). Contract farming and the adoption of sustainable farm practices: Empirical evidence from cashew farmers in Ghana. Applied Economic Perspectives and Policy, 45(1), 487–509. https://doi.org/10.1002/aepp.13212
   Web of Science ®Google Scholar
• Emerick, K., & Dar, M. H. (2021). Farmer field days and demonstrator selection for increasing technology adoption. The Review of Economics and Statistics, 103(4), 680–693. https://doi.org/10.1162/rest_a_00917
   Google Scholar
• Evenson, R. E. (1968). The contribution of agricultural research and extension to agricultural production [Doctoral dissertation]. The University of Chicago.
   Google Scholar
• Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253–281. https://doi.org/10.2307/2343100
   Web of Science ®Google Scholar
• Feder, G., Murgai, R., & Quizon, J. B. (2004). Sending farmers back to school: The impact of farmer field schools in Indonesia. Review of Agricultural Economics, 26(1), 45–62. https://doi.org/10.1111/j.1467-9353.2003.00161.x
   Google Scholar
• Feder, G., & Slade, R. (1986). The impact of agricultural extension: The training and visit system in India. The World Bank Research Observer, 1(2), 139–161. https://doi.org/10.1093/wbro/1.2.139
   Google Scholar
• FAO. (2016). Farmer Field School Guidance Document: Planning for quality programmes. Rome: Food and Agriculture Organization of the United Nations. https://www.fao.org/3/i5296e/i5296e.pdf
   Google Scholar
• Food and Agricultural Organization. (2018). Guidelines for the measurement of productivity and efficiency in agriculture.
   Google Scholar
• Foster, A. D., & Rosenzweig, M. R. (2010). Microeconomics of technology adoption. Growth Center Discussion Paper No. 984. Yale University Economic.
   Google Scholar
• Freddy, I. M., Respatiadi, H., & Gupta, G. E. K. (2018). Reforming trade policy to lower maize prices in Indonesia. Center for Indonesian Policy Studies, 1–36. https://doi.org/10.35497/270483
   Google Scholar
• Godtland, E. M., Sadoulet, E., Janvry, A. D., Murgai, R., & Ortiz, O. (2004). The impact of farmer field schools on knowledge and productivity: A study of potato farmers in the Peruvian Andes. Economic Development and Cultural Change, 53(1), 63–92. https://doi.org/10.1086/423253
   Web of Science ®Google Scholar
• Guo, M., Jia, X., Huang, J., Kumar, K. B., & Burger, N. E. (2015). Farmer field school and farmer knowledge acquisition in rice production: Experimental evaluation in China. Agriculture, Ecosystems & Environment, 209, 100–107. https://doi.org/10.1016/j.agee.2015.02.011
   Web of Science ®Google Scholar
• Heckman, J. J., & Robb, R. Jr, (1985). Alternative methods for evaluating the impact of interventions: An overview. Journal of Econometrics, 30(1-2), 239–267. https://doi.org/10.1016/0304-4076(85)90139-3
   Web of Science ®Google Scholar
• Heriqbaldi, U., Purwono, R., Haryanto, T., & Primanthi, M. R. (2014). An analysis of technical efficiency of rice production in Indonesia. Asian Social Science, 11(3), 91. https://doi.org/10.5539/ass.v11n3p91
   Google Scholar
• Huy, H. T. (2009). Technical efficiency of rice-producing households in the Mekong Delta of Vietnam. Asian Journal of Agriculture and Development, 6(2), 35–50.https://ajad.searca.org/article?p=157
   Google Scholar
• Imbens, G. W., & Wooldridge, J. M. (2009). Recent developments in the econometrics of program evaluation. Journal of Economic Literature, 47(1), 5–86. https://doi.org/10.1257/jel.47.1.5
   Web of Science ®Google Scholar
• Jiggins, J., Samanta, R. K., & Olawoye, J. E. (1997). Improving women farmers’ access to extension services. In: B. Swanson, R. P. Bentz, & A. J. Sofranko (Eds.), Improving agricultural extension: A reference manual (Chapter 9). Rome, Italy: Food and Agriculture Organization of the United Nations. https://www.fao.org/3/w5830e/w5830e00.htm#Contents
   Google Scholar
• Kariyasa, I. K. (2014). Economic impact assessment of integrated crop management farmer field school program on corn production in Indonesia. International Journal of Food and Agricultural Economics (IJFAEC), 2, 13–26.
   Google Scholar
• Kariyasa, I. K. (2016). Impact of infrastructure and government support on corn production in indonesia: A case on integrated crop management farmer field school. Jurnal Agro Ekonomi, 29(2), 147–168. https://doi.org/10.21082/jae.v29n2.2011.147-168
   Google Scholar
• Khandker, S. R., Koolwal, G. B., & Samad, H. A. (2010). Handbook on impact evaluation: Quantitative methods and practices. World Bank Publications. https://documents1.worldbank.org/curated/en/650951468335456749/pdf/520990PUB0EPI1101Official0Use0Only1.pdf
   Google Scholar
• Kim, S., & Han, G. (2001). A decomposition of total factor productivity growth in Korean manufacturing industries: A stochastic frontier approach. Journal of Productivity Analysis, 16(3), 269–281. https://doi.org/10.1023/A:1012566812232
   Web of Science ®Google Scholar
• Komicha, H. H., & Öhlmer, B. (2008). Effect of credit constraint on production efficiency of farm households in southeastern Ethiopia. Ethiopian Journal of Economics, 15(1), 1–33. https://doi.org/10.4314/eje.v15i1.39816
   Google Scholar
• Kosim, M., Aji, J. M. M., & Hapsari, T. D. (2021). The impact of agricultural extension on productivity of smallholder sugarcane farmers in East Java. IOP Conference Series: Earth and Environmental Science, 892(1), 1–7. https://doi.org/10.1088/1755-1315/892/1/012009
   Google Scholar
• Laha, A. (2013). Technical efficiency in agricultural production and access to credit in West Bengal, India: A stochastic frontier approach. International Journal of Food and Agricultural Economics (IJFAEC), 1, 53–62.
   Google Scholar
• Larsen, A. F., & Lilleør, H. B. (2014). Beyond the field: The impact of farmer field schools on food security and poverty alleviation. World Development, 64, 843–859. https://doi.org/10.1016/j.worlddev.2014.07.003
   Web of Science ®Google Scholar
• Luther, G. C., Mariyono, J., Purnagunawan, R. M., Satriatna, B., & Siyaranamual, M. (2018). Impacts of farmer field schools on productivity of vegetable farming in Indonesia. In: Natural resources forum (Vol. 42, No. 2, pp. 71–82). Blackwell. https://doi.org/10.1111/1477-8947.12144
   Google Scholar
• Ma, W., Renwick, A., Yuan, P., & Ratna, N. (2018). Agricultural cooperative membership and technical efficiency of apple farmers in China: An analysis accounting for selectivity bias. Food Policy, 81, 122–132. https://doi.org/10.1016/j.foodpol.2018.10.009
   Web of Science ®Google Scholar
• Magfiroh, I. S., Zainuddin, A., & Setyawati, I. K. (2018). Maize supply response in Indonesia. Buletin Ilmiah Litbang Perdagangan, 12(1), 47–72. https://doi.org/10.30908/bilp.v12i1.309
   Google Scholar
• Mango, N., Makate, C., Hanyani-Mlambo, B., Siziba, S., & Lundy, M. (2015). A stochastic frontier analysis of technical efficiency in smallholder maize production in Zimbabwe: The post-fast-track land reform outlook. Cogent Economics & Finance, 3(1), 1117189. https://doi.org/10.1080/23322039.2015.1117189
   Web of Science ®Google Scholar
• Mariyono, J. (2008). Direct and indirect impacts of integrated pest management on pesticide use: A case of rice agriculture in Java, Indonesia. Pest Management Science, 64(10), 1069–1073. https://doi.org/10.1002/ps.1602
   PubMed Web of Science ®Google Scholar
• Mariyono, J. (2019). Farmer training to simultaneously increase productivity of soybean and rice in Indonesia. International Journal of Productivity and Performance Management, 68(6), 1120–1140. https://doi.org/10.1108/IJPPM-10-2018-0367
   Web of Science ®Google Scholar
• Mariyono, J., Dewi, H. A., Daroini, P. B., Latifah, E., Hakim, A. L., & Luther, G. C. (2022). Farmer field schools for improving economic sustainability performance of Indonesian vegetable production. International Journal of Productivity and Performance Management, 71(4), 1188–1211. https://doi.org/10.1108/IJPPM-09-2019-0445
   Web of Science ®Google Scholar
• Mariyono, J., Luther, G. C., Bhattarai, M., Ferizal, M., Jaya, R., & Fitriana, N. (2013). Farmer field schools on chili peppers in Aceh, Indonesia: Activities and impacts. Agroecology and Sustainable Food Systems, 37(9), 1063–1077. https://doi.org/10.1080/21683565.2013.819827
   Web of Science ®Google Scholar
• Mariyono, J., Waskito, J., Kuntariningsih, A., Latifah, E., Suswati, E., & Suwandi, Tabrani. (2021). Farmer field school: Non-formal education to enhance livelihoods of Indonesian farmer communities. Community Development, 52(2), 153–168., https://doi.org/10.1080/15575330.2020.1852436
   Web of Science ®Google Scholar
• Martey, E., Wiredu, A. N., Etwire, P. M., & Kuwornu, J. K. (2019). The impact of credit on the technical efficiency of maize-producing households in Northern Ghana. Agricultural Finance Review, 79(3), 304–322. https://doi.org/10.1108/AFR-05-2018-0041
   Web of Science ®Google Scholar
• Ministry of Agriculture. (2008). Panduan Pelaksanaan Sekolah Lapang Pengelolaan Tanaman Terpadu (SLPTT) Jagung [Guidance on the implementation of farmer field school on integrated crop management of maize]. Kementerian Pertanian Republik Indonesia.
   Google Scholar
• Ministry of Agriculture. (2020a). Rencana Strategis Kementerian Pertanian 2020-2024 [Strategic planning of Ministry of Agriculture 2020-2024]. Kementerian Pertanian Republik Indonesia.
   Google Scholar
• Ministry of Agriculture. (2020b). Proyek Pengembangan dan Manajemen Irigasi Partisipatif Terpadu. [Integrated Participatory Irrigation Management and Development Project]. http://moaipdmip.org/
   Google Scholar
• Ministry of Trade. (2017). Potret Jagung Indonesia Menuju Swasembada Tahun 2017 [Snapshot on maize in Indonesia towards self-sufficiency target in 2017]. Kementerian Perdagangan Republik Indonesia.
   Google Scholar
• National Research Council. (2002). Publicly funded agricultural research and the changing structure of U.S. agriculture. The National Academies Press.
   Google Scholar
• Olagunju, K. O., Ogunniyi, A. I., Oyetunde-Usman, Z., Omotayo, A. O., & Awotide, B. A. (2021). Does agricultural cooperative membership impact technical efficiency of maize production in Nigeria: An analysis correcting for biases from observed and unobserved attributes. Plos One, 16(1), e0245426. https://doi.org/10.1371/journal.pone.0245426
   PubMed Web of Science ®Google Scholar
• Paltasingh, K. R., & Goyari, P. (2018). Impact of farmer education on farm productivity under varying technologies: Case of paddy growers in India. Agricultural and Food Economics, 6(1), 1–19. https://doi.org/10.1186/s40100-018-0101-9
   Google Scholar
• Purwono, R., Wardana, W. W., Haryanto, T., & Mubin, M. K. (2021). Poverty dynamics in Indonesia: Empirical evidence from three main approaches. World Development Perspectives, 23, 100346. https://doi.org/10.1016/j.wdp.2021.100346
   Google Scholar
• READSI. (2020). Semangat Sekolah Lapang Kelompok Padi dan Jagung di Banggai Pasca Pembatasan Sosial [The spirit of the Farmer Field School Program of rice and maize in Banggai post social restrictions]. www.readsi.id
   Google Scholar
• Sodiq, S., & Tri, Haryanto. (2021). Analysis of technical efficiency of paddy and maize farming. Gorontalo Development Review, 4(1), 1–11. https://doi.org/10.32662/golder.v4i1
   Google Scholar
• Solihin, A., Wardana, W. W., Fiddin, E., & Sukartini, N. M. (2021). Do government policies drive economic growth convergence? Evidence from East Java, Indonesia. Cogent Economics & Finance, 9(1), 1992875. https://doi.org/10.1080/23322039.2021.1992875
   Web of Science ®Google Scholar
• Statistics Indonesia. (2015). Sensus Pertanian 2013, Angka Nasional Hasil Survei Rumah Tangga Usaha Pertanian Palawija, 2014 [Agricultural Census 2013, National Figures of Indonesian Secondary Food Crop Cultivation Farm Holders Survey 2014]. https://www.bps.go.id/publication/2015/01/28/5b24b305ba6c0c38fa5206d7/sensus-pertanian-2013–angka-nasional-hasil-survei-rumah-tangga-usaha-tanaman-palawija–2014.html
   Google Scholar
• Statistics Indonesia. (2017). Jumlah Curah Hujan dan Jumlah Hari Hujan di Stasiun Pengamatan BMKG 2011-2015 [Total rainfall and number of rainy days at the BMKG Observation Station 2011-2015]. https://www.bps.go.id/statictable/2017/02/08/1959/jumlah-curah-hujan-dan-jumlah-hari-hujan-distasiun-pengamatan-bmkg-2011-2015.html
   Google Scholar
• Statistics Indonesia. (2018). Hasil Survei Pertanian Antar Sensus (SUTAS) 2018 [The result of inter-census agricultural survey]. Badan Pusat Statistik (BPS).
   Google Scholar
• Statistics Indonesia. (2021a). Penduduk 15 Tahun Ke Atas yang Bekerja menurut Lapangan Pekerjaan Utama 2011 – 2021 [Manpower by main occupation 2011-2021]. https://www.bps.go.id/statictable/2009/04/16/970/penduduk-15-tahun-ke-atas-yang-bekerja-menurut-lapangan-pekerjaan-utama-1986–-2021.html
   Google Scholar
• Statistics Indonesia. (2021b). Analisis Komoditas Ekspor 2013-2020 [Analysis of export commodity 2013-2020]. Badan Pusat Statistik.
   Google Scholar
• Sun, S., Zhang, C., & Hu, R. (2020). Determinants and overuse of pesticides in grain production: A comparison of rice, maize and wheat in China. China Agricultural Economic Review, 12(2), 367–379. https://doi.org/10.1108/CAER-07-2018-0152
   Web of Science ®Google Scholar
• Suryahadi, A., Suryadarma, D., & Sumarto, S. (2009). The effects of location and sectoral components of economic growth on poverty: Evidence from Indonesia. Journal of Development Economics, 89(1), 109–117. https://doi.org/10.1016/j.jdeveco.2008.08.003
   Web of Science ®Google Scholar
• Suwandari, A., Hariyati, Y., Agustina, T., Kusmiati, A., Hapsari, T. D., Khasan, A. F., & Rondhi, M. (2020). The impacts of certified seed plant adoption on the productivity and efficiency of smallholder sugarcane farmers in Indonesia. Sugar Tech, 22(4), 574–582. https://doi.org/10.1007/s12355-020-00821-2
   Web of Science ®Google Scholar
• Ugochukwu, A., & Phillips, P. W. B. (2018). Technology adoption by agricultural producers: A review of the literature. In E. G. Carayannis (Ed.), From Agriscience to Agribusiness: Theories, policies and practices in technology transfer and commercialization (pp. 361–377). Springer International.
   Google Scholar
• US Department of Agriculture. (2021). World agricultural production. Circular Series WAP 9-21 September 2021.
   Google Scholar
• Vaidyanathan, A., Krishnakumar, A., Rajagopal, A., & Varatharajan, D. (1994). Impact of irrigation on productivity of land. Journal of Indian School of Political Economy, 6(4), 601–645.
   Google Scholar
• van den Ban, A. W. (1999). Agricultural development: Opportunities and threats for farmers and implications for extension organizations. The Journal of Agricultural Education and Extension, 6(3), 145–156. https://doi.org/10.1080/13892249985300291
   Google Scholar
• Vu, H. V., Ho, H., & Le, Q. H. (2020). Impact of farmers’ associations on household income: Evidence from tea farms in Vietnam. Economies, 8(4), 92. https://doi.org/10.3390/economies8040092
   Web of Science ®Google Scholar
• Waddington, H., Snilstveit, B., Hombrados, J., Vojtkova, M., Phillips, D., Davies, P., & White, H. (2014). Farmer field schools for improving farming practices and farmer outcomes: A systematic review. Campbell Systematic Reviews, 10(1), i–335. https://doi.org/10.4073/CSR.2014.6
   Google Scholar
• Wangiyana, W., & Kusnarta, I. G. M. (2020). Effect of mini-sprinkler irrigation on yield of two hybrid maize varieties under two levels of fertilization on dryland of Nangakara area, Sumbawa, Indonesia. International Journal of Environment, Agriculture and Biotechnology, 5(3), 832–837. https://doi.org/10.22161/ijeab.53.35
   Google Scholar
• Wicaksono, E. (2014). The impact of agricultural credit on rice productivity. International Journal on Advanced Science, Engineering and Information Technology, 4(5), 322. https://doi.org/10.18517/ijaseit.4.5.427
   Google Scholar
• World Bank. (1994). Agricultural extension. IEG lessons and practices. No. 6. http://documents.worldbank.org/curated/en/956441468763806805/Agricultural-extension
   Google Scholar
• World Bank. (2021). Agriculture, forestry, and fishing, value added (% of GDP) – Indonesia. https://data.worldbank.org/indicator/NV.AGR.TOTL.ZS?locations=ID
   Google Scholar
• Wossen, T., Abdoulaye, T., Alene, A., Haile, M. G., Feleke, S., Olanrewaju, A., & Manyong, V. (2017). Impacts of extension access and cooperative membership on technology adoption and household welfare. Journal of Rural Studies, 54, 223–233. https://doi.org/10.1016/j.jrurstud.2017.06.022
   PubMed Web of Science ®Google Scholar
• Yamazaki, S., & Resosudarmo, B. P. (2008). Does sending farmers back to school have an impact? Revisiting the issue. The Developing Economies, 46(2), 135–150. https://doi.org/10.1111/j.1746-1049.2008.00060.x
   Web of Science ®Google Scholar
• Zubair, M., Karim, R., & Nasrullah (2021). Impact of farmer fields schools on technical efficiency of tobacco growers: A case study of district Swabi Pakistan. Business and Economic Journal, 12(1), 1–16.
   Google Scholar