000			02843nab|a22003977a|4500
999			_c62909 _d62901
001			62909
003			MX-TxCIM
005			20250708171552.0
008			201118s2020||||ii |||p|op||||00||0|eng|d
022			_a0971-8524
022			_a0973-0656 (Online)
024	8		_ahttps://doi.org/10.1080/09718524.2020.1830339
040			_aMX-TxCIM
041			_aeng
100	1		_aBadstue, L.B. _gFormerly Socioeconomics Program _gFormerly Global Wheat Program _8CBLO01 _91951
245	1	0	_aHow local gender norms and intra-household dynamics shape women’s demand for laborsaving technologies : _binsights from maize-based livelihoods in Ethiopia and Kenya
260			_aIndia : _bTaylor & Francis, _c2020.
500			_aPeer review
500			_aOpen Access
520			_aWhere agriculture relies heavily on physical labor, small-scale mechanization can reduce labor constraints and contribute to higher yields and food security. Then, how to explain weak demand articulation for and adoption of small-scale mechanization, despite high labor burden? This study examines how intra-household gender dynamics affect women’s articulation of demand for and adoption of laborsaving technologies in maize-based systems in Ethiopia and Kenya. Using gender as a relational concept, and differentiating between different types of households, the analysis pulls together key underlying dimensions that shape women’s demand-articulation for small-scale mechanization. First, women’s labor often go unrecognized, and women typically are expected to work hard and not voice their concerns. Second, women generally lack access to and control over a range of resources, including land, income, and extension services. Third, the gender division of labor exacerbates this as women’s time poverty negatively affects their access to resources and information. Finally, decisions are primarily seen as men's domain, and women are often excluded. Our study contributes to the literature by offering a conceptual approach and methodology for the analysis of gender dynamics in relation to demand articulation and adoption of laborsaving technologies.
546			_aText in English
650		7	_aGender analysis _2AGROVOC _96481
650		7	_aLabour _2AGROVOC _96610
650		7	_aHouseholds _2AGROVOC _92743
650		7	_aDecision making _2AGROVOC _98770
650		7	_aAgriculture _gAGROVOC _2 _91007
651		7	_2AGROVOC _92025 _aEthiopia
651		7	_2AGROVOC _93783 _aKenya
700	1		_avan Eerdewijk, A. _917198
700	1		_aDanielsen, K. _910716
700	1		_aHailemariam, M. _98471
700	1		_aMukewa, E. _917199
773	0		_gv. 24, no. 3, p. 341-361 _dIndia : Taylor & Francis, 2020. _tGender, Technology and Development _x0971-8524
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/21027
942			_cJA _n0 _2ddc