Impact of integrated crop management on rice farming efficiency in semi-arid West Timor, Indonesia
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Abstract. Joka U, Nubatonis A, Nino J, Tabenu O, Ludji DG. 2025. Impact of integrated crop management on rice farming efficiency in semi-arid West Timor, Indonesia. Intl J Trop Drylands 9: 148-158. This study assesses the impact of Integrated Crop Management (ICM) on the technical efficiency of rice farmers in the semi-arid border regions of West Timor, Indonesia, specifically North Central Timor and Kupang District. These regions face significant agricultural challenges, including low soil fertility, erratic rainfall, and limited access to modern farming technologies. Despite national promotion of ICM, there is a lack of empirical evidence on how ICM adoption influences technical efficiency in semi-arid border environments, representing a critical research gap that this study aims to address. Using data from a structured survey of 150 rice farmers, the research applies a Stochastic Frontier Analysis (SFA) with a Cobb-Douglas production function to estimate technical efficiency. The study revealed that seed input and labor significantly influence rice output, while education and full-time farming engagement are associated with reduced inefficiency. The mean technical efficiency score is 0.705, indicating that farmers operate at approximately 70.5% of their potential output. The gamma value of 0.821 suggests that 82.1% of output variation is due to inefficiency rather than random shocks. Comparative analysis revealed that high ICM adopters achieved higher efficiency (0.717) and yields (6,502 kg/ha) than low adopters (0.697 and 5,664 kg/ha, respectively). These findings demonstrate that ICM adoption improves resource-use efficiency and productivity, but its benefits depend on enabling conditions such as education, farm specialization, and extension access. Strengthening context-specific ICM adaptation, farmer training, and supportive policies is essential for enhancing resilience and reducing productivity gaps in semi-arid rice ecosystems.
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Abdulai A, Huffman W. 2014. The adoption and impact of soil and water conservation technology: An endogenous switching regression application. Land Econ 90 (1): 26-43. DOI: 10.3368/le.90.1.26.
Abdulai S, Zakariah A, Donkoh SA. 2018. Adoption of rice cultivation technologies and its effect on technical efficiency in Sagnarigu District of Ghana. Cogent Food Agric 4 (1): 1424296. DOI: 10.1080/23311932.2018.1424296.
Abidin IS, Haseeb M, Islam R, Chiat LW. 2022. Role of technology adoption, labor force, and capital formation in rice production in Malaysia. AgBioForum 24 (1): 41-49.
Acevedo M, Pixley K, Zinyengere N, Meng S, Tufan H, Cichy K, Bizikova L, Isaacs K, Ghezzi-Kopel K, Porciello J. 2020. A scoping review of the adoption of climate-resilient crops by small-scale producers in low- and middle-income countries. Nat Plants 6 (10): 1231-1241. DOI: 10.1038/s41477-020-00783-z.
Acharya P, Regmi PP, Gauchan D, KC DB, KC GB. 2020. Comparative study on the technical efficiency of mechanized and traditional rice farms in Nepal. J Agric Nat Res 3: 82-91. DOI: 10.3126/janr.v3i2.32484.
Adinya IB, Angba OA, Lawrence IE, Obio EA, Ogar EA. 2012. Production efficiency of swamp rice production in cross River State, Nigeria: Stochastic frontier approach. J Agric For Soc Sci 10 (1). DOI: 10.4314/joafss.v10i1.7.
Aigner D, Lovell CK, Schmidt P. 1977. Formulation and estimation of stochastic frontier production function models. J Econ 6 (1): 21-37. DOI: 10.1016/0304-4076(77)90052-5.
Akber N, Paltasingh KR, Mishra AK, Goyari P. 2024. Land ownership security, farm investment, and investment risk in Indian agriculture: Evidence from a nationally representative survey. J Agric amp Appl Econ 56 (2): 278-296. DOI: 10.1017/aae.2024.9.
Akinsulu AA. 2025. A stochastic frontier approach to determine the technical efficiency of cassava farmers in Ondo state, Nigeria. J Agric Environ 20 (2): 43-52. DOI: 10.4314/jagrenv.v20i2.5.
Ambong RMA. 2022. Adoption level of integrated crop management practices among rice farmers: Does the adoption of production technology predict postharvest technology adoption. Intl J Agric Pol Res 10 (1): 10-15. DOI: 10.15739/IJAPR.22.002.
Andrianarison F, Kamdem CB, Che Kameni B. 2021. Factors enhancing agricultural productivity under innovation technology: Insights from Cameroon. Afr J Sci Technol Innov Dev 14 (15): 1173-1183. DOI: 10.1080/20421338.2021.1937816.
Ardiansyah J, Hartono U. 2020. Profitabilitas, tax, sales growth, risiko bisnis, dan struktur aset terhadap keputusan pendanaan sektor agriculture. Jurnal Ilmu Manajemen (JIM) 8 (1): 67-79. [Indonesian]
Aziz MA, Brini F, Rouached H, Masmoudi K. 2022. Genetically engineered crops for sustainably enhanced food production systems. Front Plant Sci 13: 1027828. DOI: 10.3389/fpls.2022.1027828.
Badan Pusat Statistik Indonesia (BPS). 2025. The Development of Farmers' Exchange Rate and Rice Prices at the Mill (Issue 13). BPS, 13. [Indonesian]
Balyan S, Jangir H, Tripathi SN, Tripathi A, Jhang T, Pandey P. 2024. Seeding a sustainable future: Navigating the digital horizon of smart agriculture. Sustainability 16 (2): 475. DOI: 10.3390/su16020475.
Baruah M, Saha P. 2024. Technical efficiency of handloom-based micro-enterprises in Assam, India: A stochastic frontier analysis. Intl J Rural Manag 20 (1_suppl): S70-S84. DOI: 10.1177/09730052231225586.
Başeğmez H. 2021. Estimation of Cobb–Douglas production function for developing countries. J Res Business 6 (1): 54-68. DOI: 10.29228/jrb.3.
Battese GE, Coelli TJ. 1995. A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Econ 20: 325-332. DOI: 10.1007/BF01205442.
Benu FL, Wulakada HH, Pandie DB, Tanggela Y, King PG, Asa HM, Neolaka YA. 2024. The structural analysis of farming systems' resilience after the Covid-19 pandemic in West Timor, Indonesia. J Water Land Dev 60: 12-23. DOI: 10.24425/jwld.2024.149108.
Bhatnagar S, Chaudhary R, Sharma S, Janjhua Y, Thakur P, Sharma P, Keprate A. 2024. Exploring the dynamics of climate-smart agricultural practices for sustainable resilience in a changing climate. Environ Sustain Indic 24: 100535. DOI: 10.1016/j.indic.2024.100535.
Billah MM, Muzahid A, Millat MN, Rahman MM. 2025. Urban agriculture for environmental sustainability: Perception of city dwellers. J Environ Sci Health Sustain 1 (1): 38-50. DOI: 10.63697/jeshs.2025.027.
Biswakarma N, Makdoh B, Gulleibi NC, Layek J, Saikia R, Nayak S, Rai S, Zhiipao RR, Rajbonshi N, Bag K, Singh AK. 2025. Integrated crop management practices for improving productivity and environmental sustainability. In: Babu S, Singh R, Rathore SS, Das A, Singh VK (eds). Agricultural Diversification for Sustainable Food Production (413-443). Springer Nature, Singapore. DOI: 10.1007/978-981-97-7517-0_17.
Biswas B, Mallick B, Roy A, Sultana Z. 2021. Impact of agriculture extension services on technical efficiency of rural paddy farmers in southwest Bangladesh. Environ Chall 5: 100261. DOI: 10.1016/j.envc.2021.100261.
Borrell A, Garside A, Fukai S. 1997. Improving efficiency of water use for irrigated rice in a semi-arid tropical environment. Field Crops Res 52 (3): 231-248. DOI: 10.1016/S0378-4290(97)00033-6.
BPS East Nusa Tenggara Province. 2025. The Development of Farmer Exchange Rate in East Nusa Tenggara, May 2025. BPS East Nusa Tenggara Province, 33. [Indonesian]
Bravo-Ureta BE, Solís D, Moreira López VH, Maripani JF, Thiam A, Rivas T. 2007. Technical efficiency in farming: A meta-regression analysis. J Product Anal 27 (1): 57-72. DOI: 10.1007/s11123-006-0025-3.
Chandel RB, Khan A, Li X, Xia X. 2022. Farm-level technical efficiency and its determinants of rice production in indo-gangetic plains: A stochastic frontier model approach. Sustainability 14 (4): 2267. DOI: 10.3390/su14042267.
Chao K. 2024. Heliyon family farming in climate change: Strategies for resilient and sustainable food systems. Heliyon 10 (7): e28599. DOI: 10.1016/j.heliyon.2024.e28599.
Chikezie C, Benchendo GN, Ibeagwa OB, Oshaji IO, Onuzulu OA. 2020. Analysis of technical efficiency among rice farmers in Ebonyi State of Nigeria: A stochastic frontier approach. J Agric Food Res 18 (1): 40-49. DOI: 10.4314/jafs.v18i1.4.
Danjumah PM, Asiamah MT, Tham-Agyekum EK, Ibraham SA, Mensah LK. 2024. Dynamics of agricultural extension delivery services to rice farmers in Ghana. Heliyon 10 (5): e26753. DOI: 10.1016/j.heliyon.2024.e26753.
Darmawan DP, Mekse G, Arisena K, Made N, Sukendar C. 2024. Farmer regeneration and labor requirements in rice farming: A case study of West Denpasar District, Denpasar City, Bali, Indonesia. Organic Farming 10 (3): 185-201. DOI: 10.56578/of100303.
Deininger K, Jin S. 2006. Tenure security and land-related investment: Evidence from Ethiopia. Eur Econ Rev 50 (5): 1245-1277. DOI: 10.1016/j.euroecorev.2005.02.001.
Deng J, Harrison MT, Liu K, Ye J, Xiong X, Fahad S, Huang L, Tian X, Zhang Y. 2022. Integrated crop management practices improve grain yield and resource use efficiency of super hybrid rice. Front Plant Sci 13: 851562. DOI: 10.3389/fpls.2022.851562.
Departemen Pertanian. 2003. Panduan Teknis Pengelolaan Tanaman dan Sumber Daya Terpadu Padi Sawah Irigasi. Departemen Pertanian, Jakarta. [Indonesian]
Dewi GDP, Yustikaningrum RV. 2018. Improving food security and empowerment in the Indonesia-Timor Leste border region. IOP Conf Ser Earth Environ Sci 126: 012127. DOI: 10.1088/1755-1315/126/1/012127.
Esuh-Nnoko D, Nkendah R, Tabetando R, Raoul Fani DC, Mohamadou S. 2022. MIS adoption and its effects on the technical efficiency of agribusiness firms in Cameroon. Stud Agric Econ 124 (3): 126-134. DOI: 10.7896/j.2365.
Ewulo TA, Akinseye FM, Teme N, Agele SO, Yessoufou N, Kumar S. 2025. Factors driving Climate-Smart Agriculture adoption: A study of smallholder farmers in Koumpentum, Senegal. Front Agron 7: 1552720. DOI: 10.3389/fagro.2025.1552720.
Fahad S, Wang J. 2018. Farmers' risk perception, vulnerability, and adaptation to climate change in Rural Pakistan. Land Use Policy 79: 301-309. DOI: 10.1016/j.landusepol.2018.08.018.
FAO. 2019. The State of Food and Agriculture 2019. Moving Forward on Food Loss and Waste Reduction. Rome.
Fragomeli R, Annunziata A, Punzo G. 2024. Promoting the transition towards agriculture 4.0: A systematic literature review on drivers and barriers. Sustainability 16 (6): 2425. DOI: 10.3390/su16062425.
Ganiyu MO, Salman KK, Adeleke OA, Akintayo TK, Tojola SS, Adeyanju AJ. 2024. Land access and tenure impacts on the technical efficiency of rice farmers in Ondo State, Nigeria. Trends Agric Sci 3 (2): 202-210. DOI: 10.17311/tas.2024.202.210.
Gautam S. 2024. Understanding Cobb-Douglas production function in agricultural economics. J Technol Innov 4 (2): 75-78. DOI: 10.26480/jtin.02.2024.75.78.
Geng W, Liu L, Zhao J, Kang X, Wang W. 2024. Digital technologies adoption and economic benefits in agriculture: A mixed-methods approach. Sustainability 16 (11): 4431. DOI: 10.3390/su16114431.
Girma Y. 2022. Credit access and agricultural technology adoption nexus in Ethiopia: A systematic review and meta-analysis. J Agric Food Res 10: 100362. DOI: 10.1016/j.jafr.2022.100362.
Greene W. 2001. Estimating Econometric Models with Fixed Effects. Department of Economics, Stern School of Business, New York University. Retrieved from https://ideas.repec.org/p/fth/nystfi/01-10.html
Greene WH. 1990. A Gamma-distributed stochastic frontier model. J Econom 46 (1-2): 141-163. DOI: 10.1016/0304-4076(90)90052-U.
Hakim R, Haryanto T, Sari DW. 2021. Technical efficiency among agricultural households and determinants of food security in East Java, Indonesia. Sci Rep 11 (1): 4141. DOI: 10.1038/s41598-021-83670-7.
Han M, Liu R, Ma H, Zhong K, Wang J, Xu Y. 2022. The impact of social capital on farmers’ willingness to adopt new agricultural technologies: Empirical evidence from China. Agriculture 12 (9): 1368. DOI: 10.3390/agriculture12091368.
Hien NT, Tam HT, Shimada K, Anh HH, Van Cuong N, Tru LC. 2023. Technical efficiency of sustainable and conventional rice farming: Evidence from the Mekong Delta of Vietnam. Chem Eng Trans 106: 343-348. DOI: 10.3303/CET23106058.
Ho PT, Burton M, Ma C, Hailu A. 2022. Quantifying heterogeneity, heteroscedasticity, and publication bias effects on technical efficiency estimates of rice farming: A meta-regression analysis. J Agric Econ 73 (2): 580-597. DOI: 10.1111/1477-9552.12468.
Hoang-Khac L, Tiet T, To-The N, Nguyen-Anh T. 2022. Impact of human capital on technical efficiency in sustainable food crop production: A meta-analysis. Intl J Agric Sustain 20 (4): 521-542. DOI: 10.1080/14735903.2021.1949880.
Jabbar A, Liu W, Wang Y, Zhang J, Wu Q, Peng J. 2022. Adoption and impact of integrated soil fertility management technology on food production. Agronomy 12 (10): 2261. DOI: 10.3390/agronomy12102261.
Koirala KH, Mishra A, Mohanty S. 2016. Impact of land ownership on productivity and efficiency of rice farmers: The case of the Philippines. Land Use Policy 50: 371-378. DOI: 10.1016/j.landusepol.2015.10.001.
Kumbhakar SC, Peresetsky A, Shchetynin Y, Zaytsev A. 2020. Technical efficiency and inefficiency: Reassurance of standard SFA models and a misspecification problem. Munich Personal RePEc Archive.
Lampach N, To-The N, Nguyen-Anh T. 2021. Technical efficiency and the adoption of multiple agricultural technologies in the mountainous areas of Northern Vietnam. Land Use Policy 103: 105289. DOI: 10.1016/j.landusepol.2021.105289.
Lankamo AA, Ramalingam D, Bati BE, Dira SJ. 2025. Towards sustainable future: Adoption dynamics of Climate-Smart Agriculture by smallholder farmers in the Sidaama Region, Ethiopia. SAGE Open 15 (2): 21582440251343670. DOI: 10.1177/21582440251343674.
Lulan P, Darwanto DH, Hartono S. 2017. The determinants of paddy field conversion in Timor Island, East Nusa Tenggara Province (NTT). Agro Ekonomi 28 (2): 309-322. DOI: 10.22146/jae.26071.
Mahaboob B, Ajmath KA, Venkateswarlu B, Narayana C, Praveen JP. 2019. On the Cobb-Douglas production function model. AIP Conf Proc 2177: 20040. DOI: 10.1063/1.5135215.
Meeusen W, van Den Broeck J. 1977. Efficiency estimation from Cobb-Douglas production functions with composed error. Intl Econ Rev 435-444. DOI: 10.2307/2525757.
Mekonnen A, Tessema A, Ganewo Z, Haile A. 2021. Climate change impacts on household food security and farmers' adaptation strategies. J Agric Food Res 6: 100197. DOI: 10.1016/j.jafr.2021.100197.
Min S, PAUDEL KP, Feng-bo C. 2021. Mechanization and efficiency in rice production in China. J Integr Agric 20 (7): 1996-2008. DOI: 10.1016/S2095-3119(20)63439-6.
Motasim AM, Samsuri AW, Nabayi A, Akter A, Haque MA, Abdul Sukor AS, Adibah AM. 2024. Urea application in soil: Processes, losses, and alternatives—A review. Discov Agric 2 (1): 42. DOI: 10.1007/s44279-024-00060-z.
Nabayi A, Sung CTB, Zuan ATK, Paing TN, Akhir NIM. 2021. Chemical and microbial characterization of washed rice water waste to assess its potential as a plant fertilizer and for increasing soil health. Agronomy 11 (12): 2391. DOI: 10.3390/agronomy11122391.
Ndubueze-Ogaraku ME, Ogbonna MC. 2016. Analysis of technical efficiency and its determinants in rice production: Evidence from Abia State, Nigeria. Niger Agric Policy Res J 1 (1): 40-52. DOI: 10.22004/ag.econ.292057.
Ngadi N, Zaelany AA, Latifa A, Harfina D, Asiati D, Setiawan B, Ibnu F, Triyono T, Rajagukguk Z. 2023. Challenges of agricultural development in Indonesia: Rural youth mobility and aging workers in the agricultural sector. Sustainability 15 (2): 922. DOI: 10.3390/su15020922.
Njeru J. 2010. Factors Influencing Technical Efficiencies among Selected Wheat Farmers in Uasin Gishu District, Kenya. AERC Research Paper 206.
Novitaningrum R, Supardi S, Marwanti S. 2020. Technical efficiency of the integrated rice crop management in Karanganyar Regency, Central Java Province. Jurnal Agro Ekonomi 37 (2): 123-140. DOI: 10.21082/jae.v37n2.2019.123-140.
Oelviani R, Adiyoga W, Suhendrata T, Bakti IG, Sutanto HA, Fahmi DA, Chanifah C, Jatuningtyas RK, Samijan S, Malik A, Sahara D, Utomo B, Wulanjari ME, Winarni E, Yardha Y, Aristya VE. 2024. Effects of soil salinity on rice production and technical efficiency: Evidence from the northern coastal region of Central Java, Indonesia. Case Stud Chem Environ Eng 10: 101010. DOI: 10.1016/j.cscee.2024.101010.
Okoh TC, Opata PI, Ibe JC, Onyenekwe SC, Ikubaiyeje KP, Ettum PO. 2022. Determinants of technical efficiency among lowland rice farmers in Enugu State, Nigeria: A stochastic frontier production function approach. J Agric Food Sci 19 (2): 63-74. DOI: 10.4314/jafs.v19i2.7.
Paltasingh KR, Goyari P. 2018. The impact of farmer education on farm productivity under varying technologies: A case study of paddy growers in India. Agric. Food Econ 6 (1): 1-19. DOI: 10.1186/S40100-018-0101-9.
Papadopoulos A. 2024. Two-tier stochastic frontier analysis: Heterogeneous error distributions and model selection. J Product Anal 64: 223-234. DOI: 10.1007/s11123-024-00740-4.
Race D, Suka AP, Oktalina SN, Bisjoe AR, Muin N, Arianti N. 2022. Modern smallholders: Creating diversified livelihoods and landscapes in Indonesia. Small-Scale For 21 (2): 203-227. DOI: 10.1007/s11842-021-09495-4.
Rachmina D, Harmini H, Harianto H, Putri TA. 2025. The impact of labelled seeds on the technical efficiency of rice farming in Indonesia. Cogent Food Agric 11 (1): 2558944. DOI: 10.1080/23311932.2025.2558944.
Raghua PT, Veettilb PC, Dasc S. 2025. Drought adaptation and economic impacts on smallholder rice farmers. Agric Commun 3 (1): 100075. DOI: 10.1016/j.agrcom.2025.100075.
Rasyid MN, Setiawan B, Mustadjab MM, Hanani N. 2016. Factors that influence rice production and technical efficiency in the context of an integrated crop management field school program. Am J Appl Sci 13 (11): 1201-1204. DOI: 10.3844/ajassp.2016.1201.1204.
Regmi M, Oladipo O, Jason B. 2016. Efficiency evaluation of rice production in Bangladesh. DOI: 10.22004/AG.ECON.229990.
Ruzzante S, Labarta R, Bilton A. 2021. Adoption of agricultural technology in the developing world: A meta-analysis of the empirical literature. World Dev 146: 105599. DOI: 10.1016/j.worlddev.2021.105599.
Samat N, Goh KH, See KF, Ibrahim RA, Chan NW, Tan ML, Lee LK, Seow TW, Sabjan MA. 2023. A meta‐analysis of aquaculture technical efficiency studies. Rev Aquac 16 (1): 452-472. DOI: 10.1111/raq.12846.
Senapati N, Semenov MA. 2020. Large genetic yield potential and a significant genetic yield gap have been estimated for wheat in Europe. Glob Food Secur 24: 100340. DOI: 10.1016/j.gfs.2019.100340.
Simar L, Van Keilegom I, Zelenyuk V. 2017. Nonparametric least squares methods for stochastic frontier models. J Prod Anal 47 (3): 189-204. DOI: 10.1007/S11123-016-0474-2.
Singh B, Mishra S, Bisht DS, Joshi R. 2021. Growing rice with less water: improving productivity by decreasing water demand. In: Ali J, Wani SH (eds). Rice Improvement. Springer, Cham. DOI: 10.1007/978-3-030-66530-2_5.
Sinuraya JF, Ulpah A, Setiyanto A, Astari AF, Dabukke FB. 2024. Technical efficiency of rice productivity in Indonesia. BIO Web of Conferences 119: 01010. EDP Sciences, 2024. DOI: 10.1051/bioconf/202411901010.
Sumaryanto S, Susilowati SH, Saptana S, Sayaka B, Suryani E, Agustian A, Ashari A, Purba HJ, Sumedi S, Dermoredjo SK, Purwantini TB. 2023. Technical efficiency changes in rice farming in favorable irrigated areas of Indonesia. Open Agric 8 (1): 20220207. DOI: 10.1515/opag-2022-0207.
Taena W, Sipayung BP, Blegur FM, Klau AD, Tenggara EN. 2023. Impact of agricultural infrastructure development on inequality and the optimization of farmers' income in the Indonesia-Timor Leste Border Area. Asian J Agric Rural Dev 13 (4): 269-276. DOI: 10.55493/5005.v13i4.4933.
Taramuel-Taramuel JP, Montoya-Restrepo IA, Barrios D. 2023. Drivers linking farmers’ decision-making with farm performance: A systematic review and future research agenda. Heliyon 9 (10): e20820. DOI: 10.1016/j.heliyon.2023.e20820.
Tjoe Y, Ratumakin PA, Hossain M, Davey P. 2019. Disadvantaged Communities in Indonesian Semi-Arid Regions: An Investigation of Food Security Issues In Selected Subsistence Communities in West Timor. Springer International Publishing, Cham. DOI: 10.1007/978-3-319-77878-5_19.
Tjoe Y. 2017. Sustaining Livelihoods : An Analysis of Dryland Communities in West Timor, Indonesia. [Thesis]. Griffith Business School, South-East Queensland. DOI: 10.25904/1912/689.
Villano R, Bravo‐Ureta B, Solís D, Fleming E. 2015. Modern rice technologies and productivity in the Philippines: Disentangling technology from managerial gaps. J Agric Econ 66 (1): 129-154. DOI: 10.1111/1477-9552.12081.
Wang D, Huang J, Nie L, Wang F, Ling X, Cui K, Li Y, Peng S. 2017. Integrated crop management practices for maximizing the grain yield of the double-season rice crop. Sci Rep 7: 38982. DOI: 10.1038/srep38982.
Wang T, Sun K, Kumbhakar S. 2025. A new semiparametric stochastic frontier model: Addressing inefficiency and model flexibility using panel data. Empir Econ 68 (6): 2477-2514. DOI: 10.1007/s00181-024-02708-7.
Woh PY, Sengxayalath P, Van Pham Thi K. 2025. The impact of generational differences on rice farmers' perceptions and challenges in Champassak, Laos. Agric Food Secur 14 (1): 15. DOI: 10.1186/s40066-025-00536-1.
Wossen T, Abdoulaye T, Alene A, Haile MG, Feleke S, Olanrewaju A, Manyong V. 2017. Impacts of extension access and cooperative membership on technology adoption and household welfare. J Rural Stud 54: 223-233. DOI: 10.1016/j.jrurstud.2017.06.022.
Xayavong V, Kingwell R, Islam N. 2016. How training and innovation link to farm performance: A structural equation analysis. Aust J Agric Resour Econ 60 (2): 227-242. DOI: 10.1111/1467-8489.12116.
Yamini V, Singh K, Antar M, El Sabagh A. 2025. Sustainable cereal production through integrated crop management: A global review of current practices and prospects. Front Sustain Food Syst 9: 1428687. DOI: 10.3389/fsufs.2025.1428687.
Yanfika H, Effendi I, Sumaryo, Ansari A. 2024. The role of agricultural extension services in supporting the circular bioeconomy in Indonesia. Front Sustain Food Syst 8: 1428069. DOI: 10.3389/fsufs.2024.1428069.
Zhou D, Li L. 2022. Farming experience, personal characteristics, and entrepreneurial decisions of urban residents: Empirical evidence from China. Front Psychol 13: 859936. DOI: 10.3389/fpsyg.2022.859936.