ROLE OF YOUTH IN DECISION MAKING OF THE AGRICULTURAL ACTIVITIES IN DEVARAKONDA BLOCK OF NALGONDA DIS by IASET Journals

InternationalJournalofHumanities andSocialSciences(IJHSS)

ISSN(P):2319–393X;ISSN(E):2319–3948

Vol.11,Issue2,Jul–Dec2022;41–48

©IASET

ROLEOFYOUTHINDECISIONMAKINGOFTHEAGRICULTURALACTIVITIESIN DEVARAKONDABLOCKOFNALGONDADISTRICT

N.SaiKumar1&Jahanara2

1ResearchScholar,DepartmentofAgricultureExtensionandCommunication,SamHigginbottomUniversityof AgricultureTechnologyandsciences,Prayagraj,UttarPradesh,India

2ProfessorandHeadoftheDepartmentofAgricultureExtensionandCommunication,SamHigginbottomUniversityof AgricultureTechnologyandsciences,Prayagraj,UttarPradesh,India

ABSTRACT

Thesocio-economicdevelopmentandprosperityofruralareasdependstoaconsiderableextentonthetypeofyouthliving inruralareas.Becausetheruralyouthhaveabilitiestoorientthemselvestogoalongthemainstreamofthedevelopment process.Thepresentstudyentitled“roleofYouthindecisionmakingoftheagriculturalactivitiesinDevarakondablockof Nalgondadistrict“Atotalof120respondentswereselectedrandomlyfromtenvillagesforpresentstudy.Thestudy revealedthatmajorityofrespondentsbelongedtomiddlesocio-economicstatus.40.00%respondentshavemediumlevelof roleindecisionmakingfollowedby35.83%respondentshadhighlevelofroleindecisionmakingand24.17%lowlevelof roleindecisionmaking.Themajorityofrespondentsbelongedtomiddlesocio-economicstatus.Theypossessedmedium levelofparticipationinagriculturalactivities.Thestudyalsorevealedthattheroleofyouthindecisionmakinghave positiveandnon-significantcorrelationwithOperationalLandholding,positiveandsignificantcorrelationwith occupationrestofallindependentvariableslikeage,education,annualincome,occupation,typeofhouse,decision making,extensionparticipation,massmediaexposure.

KEYWORDS:Socio-Economic,YouthinFarming,DecisionMaking

ArticleHistory

Received:12Jul2022|Revised:15Jul2022|Accepted:21Jul2022

INTRODUCTION

Theresourcesofanynationareitsnaturalresourcesandpeople.Theyouthoftodayarethefuturecitizensofthecountry. Theyarethehopeoftomorrow.Theyarethebackboneofthecountry.Youthreflectthenationalpotentialandrepresent thelifebloodofanation.TheyouthconstituteavastreservoirofenergyespeciallyinahugecountrysuchasIndia.Outof thetotalpopulationofIndia,youthconstitute40percentofyoungpeople,manandwomen,areavailableforhandling varioustasksofdevelopmentoflocal,regionalandnationallevel.Theyarethenationalcreamandthefuturecrownwith fullpossessionofphysicalbuiltandmentaltenacityandpower(Arowoloetal.,2013).Theaimofyouthparticipationin farmingistobringtogethertheeffortandenergyofyouth.Workingpartyonyouthandpopulation(1974)rightly recommendedthatyoungpeopleberepresentedathigherlevelofdecision-makingprocessinthefieldofdevelopment, particularlyinsocio-economic,politicalandagriculturalareas(Kimaroetal.,2015).Participationofruralyouthswas emphasisedwithrealizationofthefactthatopportunitymustbegiventoyoungergenerationtofunctionintheprocessof

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decisionmakingwhichisrelatedwiththedevelopmentofagriculturalandruralarea.Youtharemorereceptivetonew innovations/techniquesinanyfieldofdevelopmentthantheelderones.Theyouth,ifprovidedpropertraininginmodern agriculturaltechnologies,theynotonlycomeforwardtoacceptchangesbutalso,theycaninfluenceandeducatethe membersoffarmingcommunityaboutmodernagriculturaltechnologies

RESEARCHMETHODOLOGY

Theresearchdesignoptedforthestudyisdescriptiveresearchdesign.Thistypeofdesignisoptedgenerallywhentheresearcher wantstostudythecurrentsituationinadescriptivemanner.ThepresentstudywasconductedinNalgondadistrictofTelangana state,fromNalgondadistrictDevarakondaMandalwasselectedpurposivelybasedonconsiderablenumberofrespondents.From DevarakondaMandalatotaloftenvillagesi.e.,Kacahram,RathyaThanda,PeddaThanda,Kamalapur,Kondabeemanapally, Telugupally,Thatikole,Sheripalli,Gottimukkala,andIllegallywereselectedrandomlyforthepresentstudy.

OBJECTIVESOFTHESTUDY

 Toaccessthesocio-economicprofileoftherespondents

 Toanalysetheroleofyouthindecisionmakingoftheagriculture RESULTANDDISCUSSION

ImpactFactor(JCC):7.0987

NAASRating3.17

42 N.SaiKumar&Jahanara

Socio-EconomicProfileoftheRespondents Table1 S.No Variable CategoriesFrequencyPercentage 1 Age Low 42 35.00 Medium 68 56.67 High 10 8.33 2 Education Low 16 13.33 Medium 72 60.00 High 32 26.66 3 Annualincome Low 57 47.50 Medium 54 45.00 High 9 7.50 4 Occupation Low 48 40.00 Medium 56 46.66 High 16 13.33 5 Operationalholding Low 63 52.50 Medium 45 37.50 High 15 10.00 6 Typeofhouse Low 9 7.5 Medium 53 44.17 High 58 48.33 7 Decisionmaking Low 34 28.33 Medium 68 56.67 High 18 15.00

Over-AllSocio-EconomicStatusoftheRespondents

Basedonthedatacollectedthroughtheindependentvariablesandappropriateanalysistherespondentsarecategorizedinto threelevelsandarerepresentedinthebelowtable.

Fromtheabovetable1,itisevidentthatmajorityoftherespondents(51.66%)havehighlevelsofdecisionmakingabilityfollowedby28.34percentoftherespondentshavelowlevelsofdecision-makingabilityand20.00percent oftherespondentshavehighlevelsofdecision-makingability.ThefindingswerefoundtobeinlinewithMubeenaetal., (2020)andPateletal.(2012)

Theroleofyouthinmajordecision-makingareasrelatedtoagriculturewasexplained.Thedatacollectedwasgrouped, analyzedandpresentedinthefollowingtable.

RoleofYouthinDecisionMakingoftheAgriculturalActivitiesinDevarakondaBlockofNalgondaDistrict 43 www.iaset.us editor@iaset.us Table1Contd., 8 Extensionparticipation Low 28 23.33 Medium 64 56.67 High 24 20.00 9 Socialparticipation Low 20 16.67 Medium 72 60.00 high 28 23.33 10 Massmediaexposure Low 26 21.66 Medium 68 56.67 High 26 21.66

Table1:OverallDistributionofRespondentsaccordingtotheirVariousSocio-EconomicStatuses SNo Category Frequency Percentage 1 Low(11-15) 24 20.00 2 Medium(16-20) 34 28.34 3 High(21-30) 62 51.66

Figure1:OveralldistributionofRespondentsaccordingtotheirVarious Socio-EconomicStatuses. 1.TheRoleofYouthinDecisionMakingoftheAgriculture

Low 28 Medium 64 24 Low 20 Medium 72 28 Low 26 Medium 68 26 Percentage 1 2 3

Figure1:OveralldistributionofRespondentsaccordingtotheirVarious Socio-EconomicStatuses. 1.TheRoleofYouthinDecisionMakingoftheAgriculture analyzedandpresentedinthefollowingtable.

ImpactFactor(JCC):7.0987

44 N.SaiKumar&Jahanara

NAASRating3.17

S.No. Activities Regular Occasional Never 1 Paddy a Selectionofvariety 43 (35.83) 54 (45.00) 23 (19.17) b SeedSowing 21 (17.50) 48 (40.00) 51 (42.50) c FertilizerApplication 56 (46.67) 31 (25.83) 33 (27.50) d Weeding 34 (28.33) 52 (43.33) 34 (28.34) e Irrigation 29 (24.17) 49 (40.83) 42 (35.00) f Disease/PestManagement 37 (30.83) 55 (45.83) 28 (23.33) g Harvesting 58 (48.33) 47 (39.17) 15 (12.50) h Post-HarvestActivities 35 (29.17) 53 (44.17) 32 (26.67) i Storage 32 (26.67) 46 (38.33) 42 (35.00) j Marketing 45 (37.50) 57 (47.50) 18 (15.00) 2 Brinjal a Selectionofvariety 45 (37.50) 56 (46.67) 19 (15.83) b Transplanting 43 (35.83) 54 (45.00) 23 (19.17) c Irrigation 53 (44.17) 52 (43.33) 15 (12.50) d FertilizerApplication 59 (49.17) 32 (26.67) 29 (24.17) e Weeding 46 (38.33) 53 (44.17) 21 (17.50) f Disease/PestManagement 44 (36.67) 58 (48.33) 18 (15.00) g Post-HarvestActivities 51 (42.50) 57 (47.50) 12 (10.00) h Marketing 47 (39.17) 57 (47.50) 16 (13.33) 3 Cotton a Selectionofvariety 56 (46.67) 42 (35.00) 22 (18.33) b SeedSowing 39 (32.50) 54 (45.00) 27 (22.50) c FertilizerApplication 55 (45.83) 41 (34.17) 24 (20.00)

Table2

Fromthedataobtainedfromtheabovetable1.Theroleofyouthinmajordecision-makingareasrelatedto agriculturewasexplained.theparticipationoftheagriculturalyouthinvariousfarmactivitieslikeselectionofvariety, transplanting,disease/pestmanagement,irrigation,fertilizationmanagement,weeding,harvesting,post-harvesting management,storageandmarketingofmajorcropsi.e.,paddy,cotton,brinjalandredchilliesgrowninthestudyareais recorded.Themajoritypercentagesofinvolvementoftheyouthindecision-makingrelatedtoagriculturewasrecorded. Basedonthedatacollectedandanalysedtherespondentsweregroupedintothreecategoriesontheirlevelofdecision makingandarepresentedinthebelowtable

Itisevidentthatmostoftherespondents(40.00%)hadmediumlevelofroleindecisionmakingfollowedby 35.83percentoftherespondentshadhighlevelofroleindecisionmakingand24.17percentoftherespondentshadlow levelofroleindecisionmaking.Thisconcludesthatmostoftheruralyouthhavemediumlevelsofdecisionmaking.

RoleofYouthinDecisionMakingoftheAgriculturalActivitiesinDevarakondaBlockofNalgondaDistrict 45 www.iaset.us editor@iaset.us Table2Contd., d Irrigation 39 (32.50) 53 (44.17) 28 (23.33) e Weeding 39 (32.50) 57 (47.50) 24 (20.00) f Disease/PestManagement 51 (42.50) 50 (41.67) 19 (15.83) g Harvesting 41 (34.17) 58 (48.33) 21 (17.50) h Storage 44 (36.67 50 (41.67) 26 (21.67) i Marketing 45 (37.50) 52 (43.33) 23 (19.17) 4 RedChilli a Selectionofvariety 45 (37.50) 54 (45.00) 21 (17.50) b Transplanting 53 (44.17) 43 (35.83) 24 (20.00) c Irrigation 35 (29.17) 57 (47.50) 28 (23.33) d FertilizerApplication 52 (43.33) 49 (40.83) 19 (15.83) e Weeding 38 (31.67) 55 (45.83) 27 (22.50) f Disease/PestManagement 59 (49.17) 35 (29.16) 26 (21.67) g Harvesting 33 (27.50) 58 (48.33) 29 (24.17) h Post-HarvestActivities 47 (39.17) 51 (42.50) 22 (18.34) i Storage 41 (34.17) 56 (46.67) 23 (19.17) j Marketing 59 (49.17) 43 (35.83) 18 (15.00)

S.No. Category Frequency Percentage 1 Low(25-38) 29 24.17 2 Medium(39-50) 48 40.00 3 High(51-65) 43 35.83 Total 120 100.00

Table3:DistributionofTheRespondentsbasedontheirRoleinDecisionMaking

Theco-efficientofco-relationbetweentheage(0.2278),education(0.3664),occupation(0.4171),typeofhouse (0.5583),extensionparticipation(0.3036),decisionmaking(0.3465),socialparticipation(0.4682)andmassmedia exposure(0.3607)andtheroleofyouthindecisionmakingwasmorethanthetablevalue“r”at1percentlevelof significance.Whiletheco-efficientofco-relationbetweenoperationallandholding(0.0952)andannualincome(0.6393) wasmorethanthetablevalue“r”at5percentlevelofsignificance.Itcanbeinferredthatthereisapositiveand significantrelationshipbetweentheage,education,annualincome,occupation,extensionparticipation,social participation,operationallandholding,decisionmaking,massmediaexposureandtheroleofyouthindecisionmaking. SimilarfindingsarealsoreportedbySavita(2011).

46 N.SaiKumar&Jahanara ImpactFactor(JCC):7.0987 NAASRating3.17

Table4:RelationshipBetweentheSocio-EconomicStatusandtheRoleofYouthinDecision

S.No. IndependentVariable Co-efficientcorrelation(r) 1 Age 0.2278* 2 Education 0.3664** 3 AnnualIncome 0.6393* 4 Occupation 0.4171** 5 OperationalLandholding 0.0952(NS) 6 TypeofHouse 0.5583* 7 DecisionMaking 0.3465** 8 ExtensionParticipation 0.3036** 9 SocialParticipation 0.4682** 10 MassMediaExposure 0.3607** *=Significantat0.05levelofprobability, **=Significantat0.01levelofprobability, N.S=non-significant

Figure2:Distributionoftherespondentsbasedon theirRoleinDecisionMaking Making

CONCLUSION

Itisconcludedthatmajorityoftheyouthhavebelongedtomiddleagegroup,thisshowsthatyouthisinterestedin agriculture.Mostoftheyouthhavereceivedformaleducationandcompletedprimaryschool,havelowlevelsofannual income,haveagricultureastheirmainoccupationandliveincementedhouse.Majorityoftheyouthhadnolandandare workingasagriculturelabouratpresent,mediumlevelsofdecisionmaking,mediumlevelsofextensionparticipation, mediumlevelsofsocialparticipationandmediumlevelsofmassmediaexposure.Mostoftheagricultureyouthhave mediumlevelsofsocio-economicstatus.Mostoftheyouthplaymediumroleindecisionmakingofagriculture.Therole ofyouthindecisionmakinghavepositiveandnon-significantcorrelationwithoperationallandholding,positiveand significantcorrelationwithoccupationrestofallindependentvariableslikeage,education,annualincome,occupation, typeofhouse,decisionmaking,extensionparticipation,massmediaexposure.

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