000			nab a22 7a 4500
999			_c62416 _d62408
001			62416
003			MX-TxCIM
005			20200817200940.0
008			200124s2016 xxk|||p|op||| 00| 0 eng d
022			_a0022-0388
022			_a1743-9140 (Online)
024	8		_ahttps://doi.org/10.1080/00220388.2016.1146703
040			_aMX-TxCIM
041			_aeng
100	1		_915078 _aDesiere, S.
245	1	0	_aWhen the data source writes the conclusion : _bvaluating agricultural policies
260			_aLondon (United Kingdom) : _bTaylor & Francis, _c2016.
500			_aPeer review
520			_aStatistics describe realities, but they also shape them, since they are used to design or support policies. As such accurate statistics are important. Using the agricultural sector in Rwanda as a case study, we demonstrate that dubious statistics can spread quickly. According to data from the Food and Agricultural Organization (FAO), yields have increased by 60 per cent since the implementation of large scale agricultural reforms, while other datasets point towards more modest gains. Yet, estimates in line with those of the FAO dominate the official discourse. We suggest that the discrepancies between datasets may be explained by the difficulties of collecting accurate agricultural statistics combined with an incentive to overestimate yields to show that the reforms have worked.
546			_aText in English
650		7	_2AGROVOC _915079 _aAgricultural statistics
650		7	_2AGROVOC _99002 _aData
650		7	_2AGROVOC _95634 _aAgricultural policies
700	1		_915080 _aStaelens, L.
700	1		_915081 _aD'Haese, M.
773	0		_dLondon (United Kingdom) : Taylor & Francis, 2016. _gv. 52, no. 9, p. 1372-1387 _tJournal of Development Studies _x0022-0388 _wu444520
942			_2ddc _cJA _n0