000			03180nab|a22003857a|4500
001			69741
003			MX-TxCIM
005			20260107135750.0
008			20266s2026|||||-uk||p|op||||00||0|eng|dd
022			_a2666-1888 (Online)
024	8		_ahttps://doi.org/10.1016/j.sftr.2025.101615
040			_aMX-TxCIM
041			_aeng
100	0		_aBristy Banik _941019
245	1	0	_aDeterminants of modern agricultural machinery adoption in Northern Bangladesh : _bA multivariate probit analysis
260			_aUnited Kingdom : _bElsevier Ltd., _c2026.
500			_aPeer review
500			_aOpen Access
520			_aFarm mechanization is expanding in Bangladesh, yet smallholders continue to face constraints such as fragmented landholdings, high machinery costs, limited access to custom hiring services, and insufficient training. This study examines these challenges using secondary data from 5053 households in the Eastern Gangetic Plains collected under the Sustainable and Resilient Farming Systems Intensification project. Although the dataset emphasizes conservation agriculture and contains few machine-specific variables, it remains appropriate for assessing technology adoption in smallholder systems. A subsample of 1761 farmers from Rajshahi and Rangpur districts of Bangladesh was analyzed to assess the joint adoption of four modern machines: the rotavator, laser land leveler, happy seeder, and combine harvester. Unlike studies that consider single technologies, this research investigates how farmers' adoption decisions interact. The descriptive statistics reveal that 56.8 % of households adopted the rotavator, whereas adoption of the other machines remained below 2.5 %. Multivariate Probit model identified that household size, family labor, off-farm income, machinery ownership, and institutional support generally encouraged adoption, while age, education, and limited familiarity with machinery reduced uptake for some technologies. Correlation results reveal both complementarities and substitution among machines. The findings underscore the need for targeted financial support, training, custom hiring services, and awareness programs to promote inclusive, region-appropriate mechanization. The study adds new empirical evidence by jointly analyzing multiple mechanization choices and clarifying the behavioral and structural conditions needed for sustainable agricultural intensification in smallholder systems.
546			_aText in English
650		7	_aFarm equipment _2AGROVOC _91955
650		7	_aTechnology adoption _2AGROVOC _91287
650		7	_aSmallholders _2AGROVOC _91763
650		7	_aProbit analysis _2AGROVOC _916588
651		7	_aBangladesh _2AGROVOC _91424
700	0		_aHasneen Jahan _941020
700	0		_aMd. Rubel Ahmed _941021
700	1		_aNandi, R. _8001713797 _gSustainable Agrifood Systems _932843
700	1		_aJackson, T. _97030
700	0		_aArifa Jannat _936993
773	0		_tSustainable Futures _gv. 11, art. 101615 _dUnited Kingdom : Elsevier Ltd., 2026. _x2666-1888
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/36651
942			_cJA _n0 _2ddc
999			_c69741 _d69733