Can Greenhouse Technology Adoption Unlock Technical Efficiency Gains? Evidence From Melon Farming in East Java, Indonesia

Öz

This study aims to examine the factors that influence melon farmers in adopting greenhouse technology and analyze the impact of greenhouse technology on increasing the technical efficiency of melon farming. The sample size was 120 melon farmers in East Java Province, Indonesia. Probit regression was used to analyze the factors influencing farmers’ adoption of Greenhouse technology, while the Stochastic Production Frontier function was employed to obtain the estimated technical efficiency value of each planting system in melon farming. The empirical results indicate that socio-economic variables such as age, education, and partnership relationships have a positive and statistically significant influence on the decision of melon farmers in the adoption of Greenhouse technology. In contrast, the variables including the number of family dependents, years of farming experience, and the main type of work as a farmer demonstrate a negative and significant influence. Overall, both the Greenhouse and conventional planting systems are technically efficient, although the levels of efficiency vary between the two methods and the performance outcomes are not identical. Regarding propensity score matching estimation, the greenhouse melon farming system has a higher technical efficiency value than conventional farming, with a difference of 0.041 in the stratification matching estimation and 0.0858 in the sample after the matching process, which strengthens the robustness of the findings. This finding clearly illustrates that farming through the adoption of Greenhouse technology has a positive and substantial impact on increasing technical efficiency, and therefore it is considered an appropriate, relevant, and reliable technology recommendation for increasing melon productivity in a sustainable way.

Anahtar Kelimeler

• Greenhouse
• Efficiency
• Productivity
• Propensity score matching; Stochastic production frontier

Kaynakça

1. Abdulai, S., Zakariah, A. and Donkoh, S. A. (2018). Adoption of rice cultivation technologies and its effect on technical efficiency in Sagnarigu District of Ghana. Cogent Food and Agriculture, 4(1): 1–14.
2. Adediran, O., Osabuohien, E., Silberberger, M., Osabohien, R. and Adebayo, W. G. (2024). Agricultural value chain and households ’ livelihood in Africa : The case of Nigeria. Heliyon, 10(7): 1–13.
3. Ali, E. H. and Lafta, A. H. (2020). Measuring the economic efficiency and total productivity of resource and the technical change of agricultural companies in Iraq using SFA and DEA for the period 2005-2017. Iraqi Journal of Agricultural Sciences, 51(4): 1104–1117.
4. Amankwah, A. and Gwatidzo, T. (2024). Food security and poverty reduction effects of agricultural technologies adoption − a multinomial endogenous switching regression application in rural Zimbabwe. Food Policy, 125(1): 1–16.
5. Anang, B. T., Alhassan, H. and Danso-Abbeam, G. (2020). Estimating technology adoption and technical efficiency in smallholder maize production: A double bootstrap DEA approach. Cogent Food and Agriculture, 6(1): 1–16.
6. Asmara, R., Hanani, N. Syarial, and Mustadjab. (2016). Technical Efficiency on Indonesian Maize Production : Frontier Stochastic Analysis (SFA) And Data Envelopment Analysis (DEA) Approach. Russian Journal of Agricultural and Socio-Economic Sciences, 10(58): 24–29.
7. Bouteska, A., Sharif, T., Bhuiyan, F. and Abedin, M. Z. (2024). Impacts of the changing climate on agricultural productivity and food security: Evidence from Ethiopia. Journal of Cleaner Production, 449(1): 1–19.
8. BPS. (2024). East Java Province in Figures 2024. BPS-Statistics Jawa Timur Province (Vol. 47). https://jatim.bps.go.id/id/publication/2024/02/28/53a51c3ca566561a72d10bde/provinsi-jawa-timur-dalam-angka-2024.html (Accessed Date: 06.10.2024)

9. Cahyani, R. D., Hidayat, K. and Kustanti, A. (2024). Adoption of melon (Cucumis melo L.) cultivation ınnovation using greenhouse technology in Wates District, Blitar Regency. Jurnal Ekonomi Pertanian Dan Agribisnis (JEPA), 8(2), 579–589 (In Indonesian).
10. Coelli, T. J., Prasada Rao, D. S., O’Donnell, C. J., and Battese, G. E. (2005). An Introduction to Efficiency and Productivity Analysis. Springer Science + Business Media Inc., Newyork, U.S.A.
11. DeLay, N. D., Thompson, N. M. and Mintert, J. R. (2022). Precision agriculture technology adoption and technical efficiency. Journal of Agricultural Economics (JAE), 73(1): 195–219.
12. Directorate General of Horticulture. (2022). Final Figures of Horticulture 2021 (Angka Tetap Hortikultura Tahun 2021). https://satudata.pertanian.go.id/assets/docs/publikasi/ATAP_Hortikultura_Tahun_2021_compressed.pdf (Accessed Date: 06.10.2024)
13. Dissanayake, C. A. K., Jayathilake, W., Wickramasuriya, H. V. A., Dissanayake, U. and Wasala, W. M. C. B. (2022). A Review on factors affecting technology adoption in agricultural sector. Journal of Agricultural Sciences - Sri Lanka, 17(2): 280–296.
14. Ebukiba, E., Akpeji, G. and Anthony, L. (2022). Technical efficiency analysis of melon (Coloncynthis citrullus L.) production among smallscale farmers in federal capital territory, Nigeria. International Journal of Agriculture , Forestry and Life Sciences, 6(1): 18–23.
15. Ewunetu, A., Simane, B. and Abebe, G. (2023). Effect of integrated sustainable land management technologies on households’ food security in the North Gojjam sub-basin, Blue Nile River. Discover Sustainability, 4(17): 1–16.
16. Felices, B. L., Muñoz, J. F. V., Sánchez, I. M. R. and Sánchez, J. Á. A. (2023). Socioeconomic and technical factors determining the adoption of hedgerows around greenhouses in southeast Spain. Agricultural Economics (Czech Republic), 69(5): 212–222.
17. Firmansyah, D. amd Dede. (2022). Common Sampling Techniques in Research Methodology: Literature Review. Jurnal Ilmiah Pendidikan Holistik (JIPH), 1(2), 85–114 (In Indonesian).
18. Ghimire, B., Dhakal, S. C., Marahatta, S., and Bastakoti, R. C. (2023). Technical efficiency and its determinants on lentil (Lens culunaris) production in Nepal. Farming System, 1(3): 1–10.
19. Gujarati, D. (2011). Econometrics by Example. Palgrave Macmillan, London, U.K.
20. Hanani, N., Asmara, R. and Fahriyah, F. (2023). Technology gap ratio decomposition in sugarcane farming in Indonesia. Asian Journal of Agriculture and Rural Development, 13(1): 1–7.
21. Harianto, H. and Keraru, E. N. (2022). Comparative analysis of technical efficiency of piglet farming in three production center provinces in Indonesia. Journal of the Indonesian Tropical Animal Agriculture, 47(3): 192–203.
22. Hariyati, Y., Hendarsyah, A. R., Muhtadi, K., Rahman, R. Y. and Ibanah, I. (2024). The Adaptation to Climate Change of Bromo Horticultural Farmer to Support the Environmental and Economic Dimensions on Sustainable Agriculture. 7th International Conference on Agriculture, Environment, and Food Security (AEFS), 26-27 September 2023, 1302, Medan, Indonesia.
23. Hassan, F. A. M. (2021). Data envelopment analysis (Dea) approach for assessing technical, economic and scale efficiency of broiler farms. Iraqi Journal of Agricultural Sciences, 52(2): 291–300.
24. Huang, W., Liu, Q. and Abu Hatab, A. (2023). Is the technical efficiency green? The environmental efficiency of agricultural production in the MENA region. Journal of Environmental Management, 327(1): 1–9.
25. Huang, W., Manevska-Tasevska, G. and Hansson, H. (2024). Does ecologization matter for technical efficiency in crop production? A case of Swedish agriculture. Land Use Policy, 138(1): 1–8.
26. Ihoume, I., Tadili, R., Arbaoui, N. and Krabch, H. (2023). Design of a low-cost active and sustainable autonomous system for heating agricultural greenhouses: A case study on strawberry (Fragaria vulgaris) growth. Heliyon, 9(3): 1–14.
27. Irawan, E., Agustono, A. and Adriani, I. S. (2023). Labor allocation patterns and their impact on melon farm productivity: A generalized additive model approach. Jurnal Sosial Ekonomi Pertanian, 16(2): 159–172.
28. Islam, S., Mitra, S. and Khan, M. A. (2023). Technical and cost efficiency of pond fish farms: Do young educated farmers bring changes? Journal of Agriculture and Food Research, 12(1): 1–9.
29. Kaleel, D. M. and Ali, E. H. (2024). Economic Feasibility study for the project of cultured barley production with hydroponic method. Iraqi Journal of Agricultural Sciences, 55(Special Issue): 233–245.
30. Khatri-Chhetri, A., Sapkota, T. B., Maharjan, S., Cheerakkollil Konath, N. and Shirsath, P. (2023). Agricultural emissions reduction potential by improving technical efficiency in crop production. Agricultural Systems, 207(1): 1–9.
31. Kitole, F. A., Tibamanya, F. Y. and Sesabo, J. K. (2024). Exploring the nexus between health status, technical efficiency, and welfare of small-scale cereal farmers in Tanzania: A stochastic frontier analysis. Journal of Agriculture and Food Research, 15(1): 1–12.
32. Li, L., Han, J. and Zhu, Y. (2023). Does farmland inflow improve the green total factor productivity of farmers in China ? An empirical analysis based on a propensity score matching method. Heliyon, 9(3): 1–14.
33. Li, M., Zhao, W., Tian, C., Li, Y., Feng, X., Guo, B. and Yao, Y. (2023). Moderate operation scales of agricultural land under the greenhouse and open-field production modes based on DEA model in mountainous areas of southwest China. Heliyon, 9(11): 1–13.
34. Ma, W., Renwick, A., Yuan, P. and Ratna, N. (2018). Agricultural cooperative membership and technical efficiency of apple farmers in China: An analysis accounting for selectivity bias. Food Policy, 81(1): 122–132.
35. Maraveas, C., Karavas, C., Loukatos, D., Bartzanas, T., Arvanitis, K. G., and Symeonaki, E. (2023). Agricultural greenhouses : Resource management technologies and perspectives for zero greenhouse gas emissions. Agriculture, 13(1): 1–46.
36. Mideksa, B., Muluken, G. and Eric, N. (2023). The impact of soil and water conservation practices on food security in eastern Ethiopia . A propensity score matching approach. Agricultural Water Management, 289(1): 1–12.
37. Mothe, C., and Nguyen-thi, T. U. (2021). Does age diversity boost technological innovation ? Exploring the moderating role of HR practices. HAL Open Science, 39(6): 1–51.
38. Mtenga, R. P., Funga, A. and Kadigi, M. (2024). Participation in village savings and lending associations and rice profitability in Tanzania : Application of propensity score matching and endogenous switching regression. Sustainable Futures, 7(1): 1–13.
39. Mulugeta, H. T. and Heshmati, A. (2023). Impacts of improved agricultural technology adoption on welfare in Africa: A meta-analysis. Heliyon, 9(7): 1–16.
40. Nechar, M., Assassi, S. and Bendrissou, M. (2021). What Impact of Social Networks on Farmers’ Performances; Case of The Milk Sector in Ghardaïa, Algeria. Journal of Tekirdag Agricultural Faculty, 18(4): 625–635.
41. Nguyen-Thi-Lan, H., Fahad, S., Ho-Ngoc, N., Nguyen-Anh, T., Pham-Van, D., Nguyen-Thi-Viet, H., Do-Hoang, P., Do-Kim, C. and To-The, N. (2023). Crop farming and technical efficiency of tea production nexus: An analysis of environmental impacts. Journal of the Saudi Society of Agricultural Sciences, 22(3): 158–164.
42. Nugroho, T. W., Hanani, N., Toiba, H. and Sujarwo. (2022). Does Social capital ımprove food security? Evidence from the Indonesian family life survey. Asian Journal of Agriculture and Rural Development, 12(2): 138–147.
43. Özpinar, S. (2023). Analysis of energy use efficiency and greenhouse gas emission in rainfed canola production (Case study: Çanakkale Province, Turkey). Journal of Tekirdag Agricultural Faculty, 20(1): 197–210.
44. Puppala, H., Peddinti, P. R. T., Tamvada, J. P., Ahuja, J. and Kim, B. (2023). Barriers to the adoption of new technologies in rural areas: The case of unmanned aerial vehicles for precision agriculture in India. Technology in Society, 74(1): 1–16.
45. Rahman, A., Osamah, K. J., and Najah, B. (2023). Impact of Improved seeds and some modern technologies on ıncreasing the supply of wheat crop in Iraq for The agricultural. Iraqi Journal of Agricultural Sciences, 54(1): 176–188.
46. Rhezandy, M. T., Setiawan, B., Koestiono, D. and Asmara, R. (2023). Farmers’ Technical Efficiency and Their Adoption To New Variety of Sorghum: Evidence From East Java of Indonesia. Journal of Law and Sustainable Development, 11(4): 1–21.
47. Rosenbaum, P. R. and Rubin, D. B. (1984). Reducing bias in observational studies using subclassification on the propensity score. Journal of the American Statistical Association, 79(387): 516-524.
48. Sáenz, J., Aramburu, N., Alcalde-Heras, H. and Buenechea-Elberdin, M. (2024). Technical knowledge acquisition modes and environmental sustainability in Spanish organic farms. Journal of Rural Studies, 109(1): 1–14.
49. Sajid, M. U., Khan, S. A., Koc, M., Al-Ghamdi, S. G. and Bicer, Y. (2023). Life cycle assessment of spectra-managed greenhouses for sustainable agriculture. Cleaner Environmental Systems, 9(1): 1–12.
50. Salam, A. and Islam, N. (2023). Impact of hybrid variety adoption on the performance of rice farms in Bangladesh : A propensity score matching approach. World Development Sustainability, 2(1): 1–11.
51. Sanogo, K., Touré, I., Arinloye, D. D. A. A., Dossou-Yovo, E. R. and Bayala, J. (2023). Factors affecting the adoption of climate-smart agriculture technologies in rice farming systems in Mali, West Africa. Smart Agricultural Technology, 5(1): 1–10.
52. Shaker, U. B. and Rasool, I. J. A. (2022). Role of organic fertilizer and boron foliar application on growth and productivity of potato for processing. Iraqi Journal of Agricultural Sciences, 54(5): 1478–1486.
53. Sinaga, S. V., Harianto, H. and Suharno, S. (2019). The analysis of propensity score matching on the economic effect of C.A.F.E. practices certification toward lintong coffee farming ın North Sumatra. Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian Dan Agribisnis, 18(1): 139–152 (In Indonesian).
54. Sugiyono. (2019). Qualitative Quantitative Research Methods and R&D. Alfabeta Publisher, Bandung, Indonesia. Sukendah, Kurniawati, A. S. and Makhziah. (2023). Effect of concentration of liquid organic fertilizer on local rice development with polybag system. Agro Bali : Agricultural Journal, 6(1): 105–115.
55. Suprapti, I., Darwanto, D. H., Mulyo, J. H. and Waluyati, L. R. (2016). Technical efficiency of madura farmers on hybrid and local corn farming in Guluk-Guluk District, Indonesia. Journal of Economics and Sustainable Development, 7(24), 154–158.
56. Susanto, H., Taufiq, A., Subagyo, Gunawan, A., and Sholeh, M. (2023). Commercialization of Organic Green House on Featured Melon Commodities as an Increase in National Horticultural Productivity Commercial Organic Green House on Melon Commodity. The 2nd Business Innovation Sustainability and Technology International Conference (2nd BISTIC 2022), 1-2 September 2022, P. 140–151, Malang, Indonesia.
57. Syafrial, Toiba, H., Rahman, M. S. and Retnoningsih, D. (2021). The effects of improved cassava variety adoption on farmers’ technical efficiency in Indonesia. Asian Journal of Agriculture and Rural Development, 11(4): 269–278.
58. Tamirat, N. and Tadele, S. (2023). Determinants of technical efficiency of coffee production in Jimma Zone, Southwest Ethiopia. Heliyon, 9(4): 1–11.
59. Wonde, M. K., Tsehay, S. A. and Lemma, E. S. (2022). Training at farmers training centers and its impact on crop productivity and households ’ income in Ethiopia : A propensity score matching ( PSM ) analysis. Heliyon, 8(1): 1–13.
60. Workneh, W. M. and Kumar, R. (2023). The technical efficiency of large-scale agricultural investment in Northwest Ethiopia: A stochastic frontier approach. Heliyon, 9(9): 1–10.
61. Wu, Z., Feng, X., Zhang, Y. and Fan, S. (2024). Repositioning fertilizer manufacturing subsidies for improving food security and reducing greenhouse gas emissions in China. Journal of Integrative Agriculture, 23(2): 430–443.
62. Yekti, A., Darwanto, D. H., Jamhari, J. and Hartono, S. (2017). Technical efficiency of wet season melon farming. Journal of Economics and Policy, 10(1): 12–29.