':•:ent. rd~ ization is tl~:>., 'd' Hp by the heavy cos~ :~ ':r.vol v•:>.j .~s L"t" .~~ .:iid·get• trained personne~ and data-proces~ i.nq fac i, i ti~:~s are con- ~ ~.e$·ned. ~~c::on(l!fi tilt receiltty there 101as a bias against. ~h~ rur·a~ econo­ tnl~-t .:..nd more att.ent.i cen ana resources were given to ::t-.a :.if-' called "moo­ e .. ., ~ect.o rs"• ;\!<~···"·' '!:dvstries <Jnd urbaP sectors. !n thi~ respect. it ·;h~,u~-d t>e noto•1 tnat ·there is better information un the agricu!t.ur ai ;"Jtputs- what t.tle rur"ll sec:t.or produces for cjt.les or for eKports­ ~han on the peopt·e who carried out that production and on the rural ~•ot::i~ty. Fort.undte~y t.h~-s bias i~ diS<..ippearing u.i the strategic .. o,~ of a9riculture in national oevelopment is being widely recognized. !.!'~irf11ft the retat ~fve neglect of the lllic,-o- 4'!conomic aspects <>f the rural sector can t.e attributed to a certain bias against the micvo-economic type ()f relations in the p1anner•s vision of the devel­ opment policy.. liowever. t.he planning in terms of macro-aggregates is more and uon~ distant fro"' economic realities as the sophistication of the ·productiGn technotoqies and marl<etinq channels increases. The agricultural sector is no longer a homogeneous society; it is rdther the juxtaposition of different techno1oqical levels, each one having its own rationality and behaviour.. each one requestin g specific treatment in developm ent strategy. 'fhe formali zed planning mooe1s are bound to be wide'y used if'~ the near future; thus it is the duty of the statistical organizations to prepare right now the data basis requried by these mode~~. This involves change~ in the structure of the statistical orgdnization towards t1t0re decentra1 ization, the systematic i!11p1ementation of far111 11 -14 - su~veys wi~h sample st~atification being tuneo to the models• rtquire­ ments ana the diversific ation of tne data sources. in particular the 
**Analysis**
The text discusses the neglect of the rural sector in development policies and the need for a more decentralized approach to agricultural statistics. It highlights the importance of considering the different technological levels within the agricultural sector and the need for diversified data sources. The text also touches on the bias against rural areas and the need to recognize the role of agriculture in national development.

**Category**
Agriculture, forestry and fishing, Economic development