WORKSHOP ON SKILL DEVELOPMENT IN MEGHALAYA: A WAY FORWARD Performance of the MSSDS State Plan Scheme: Setting the Baseline for SCF British Council TA Team.

WORKSHOP ON SKILL DEVELOPMENT IN MEGHALAYA: A WAY FORWARD

Performance of the MSSDS State Plan Scheme: Setting the Baseline for SCF

British Council TA Team 8th May 2015

Performance Assessment of MSSDS Skills Training Programme

Outline of the Presentation

About MSSDS state plan scheme

Objectives of performance assessment

Data Source/Methods

Profile of trainees

Types of skills training imparted & their features

Performance of internal efficiency indicators

Labour market outcomes of training interventions

Key Concerns/Recommendations


About the Programme

MSSDS state plan scheme for skills development launched during January 2014;

Overall objective of the scheme is to provide demand driven placement linked skills training to unemployed youths in the age-group of 18-35 years;

The scheme is inclusive in nature & caters to all segments of Meghalaya’s youth – with maximum focus to provides benefits to women & SC/ST youth ;

Aims to provide employment to at least 75% of trained youth - in organized sector within and outside Meghalaya;

The training cost per trainee is fixed at Rs. 18, 800/- & is shared between the MSSDs & PIAs in the ratio of 75: 25 (Rs.14, 100/- : Rs. 4,700/-);

About 7550 youth have been targeted to be trained within two years (between March 2014 - March 2016)


Objectives

Understand the performance outcome of the MSSDS state-plan scheme;

Linking the MSSDS performance outcome results in setting baseline KPIs for the SCF;

Provides suggestions and recommendations for improving the outcome of the MSSDS scheme;

Drawing lessons from the MSSDS scheme and its relevance for SCF implementation.


Data Source/Methods

Comprehensive and process driven data capture format was prepared to collect data on various monitoring parameters;

PIAs were involved in the process and their views were incorporated in the data capture format;

Data collection and validation went through a series of rigorous quality check and standardisation processes;

About 3327 trainee data trained during 1st April 2014 – 31st March 2015 were analysed for performance assessment.


Who are the trainees? Trainees are mostly young : average age being 22 years. No significant

difference in age between male and female trainees;

0.0

5.1

.15

.2

Den

sity

15 20 25 30 35 40Age Trainees

Age Group of MSSDS Trainees


Who are the trainees?

34 % of trainees are females (proportion of female trainees are in the range of 43-47 % in Ri-Bhoi & East Khasi Hills respectively);

93 % of male and female trainees belong to ST category;

84% are Christians & 14% Hindus;

Around 0.3 % of trainees belong to PWD category;

29% trainees were from border areas.


Who are the trainees?

Male Female Total

24.8

19.8 23

.1

55.6

43.5

51.5

19.3

36.1

25.0

Educati onal Level of Male & Female Trainees

Below Secondary Secondary Higher Secondary and Above

Educational attainment level of trainees is fairly high: 52 % & 25% - secondary & higher secondary & above level of education respectively;

Only 23% have less than 9 years of education.


Where are the trainees from?

7.8

2.8

30.1

0.47.23.16.8

9.00.3

11.9

14.7

5.7

Distribution of Trainees by Districts (in %)

East Garo Hills East Jaintia HillsEast Khasi Hills Jaintia HillsNorth Garo Hills Ri-BhoiSouth Garo Hills South West Garo HillsSouth West Khasi Hill West Garo HillsWest Khashi Hills West jaintia Hills

Majority of trainees belong to East (30%) and West Khasi (15%) Hills and least from South West Khasi (0.3%) and Jaintia (0.4%) Hills;


What are the types of skills training imparted ? Training is imparted in 15 different types of trades as per the local

market demand with 3,227 enrolled trainees

Sl No. PIAs Trades of Skills Training Total Enrollment

1Centum Learning

Computer Fundamentals, Hospitality & Retail 122

2

DB Tech

Automobile Repair, Basic Welding, Construction, Electrical, Hospitality - General, Industrial Sewing Machine, & Security 1,222

3

IL&FSBasic Electrician, Helper Mason, Hospitality, Retail & Sewing Machine Operator 1,099

4 NESA General Security 2105 NIPS Hospitality 2426 SS Netcom ITES 332

Total 3,227


What are the types of skills training imparted? Hospitality, electrical & security are most popular one among male

trainees, whereas for females ISMO, hospitality and ITES are the popular ones

Male Female0.05.0

10.015.020.025.030.035.040.045.050.0

24.6

0.3

7.6

0.12.6

0.01.0 1.71.3 0.1

14.6

1.01.6 0.1

32.835.1

7.3

16.1

5.2

43.2

1.4 2.3

Popular Trades among Male & Female Trainees (%)

Electrician/Electrical Automobile Repair Basic Welding Computer Fundamentals Construction Security

Helper Mason Hospitality ITES Industrial/ Sewing Machine Operator Retail


What are the types of skills training imparted?

DB Tech & ILFS are important PIAs – account for 38% & 34% of total enrolled trainees respectively;

Training is imparted for a duration of 1 to 3 months (except for hospitality course of NIPS which is for 5 months);

Assessment & certifications are done internally except for NIPS 5 month hospitality course which is affiliated with the SCVT;


Dropout rates are insignificant

Dropout rate at 9.3 % is very low at the overall level – no significant differences in dropout rates among male (9.6%) & female (8.6%) trainees;

However, dropout rates are high in individual trades such as - Computer fundamentals (48%), helper mason (19%) and sewing machine operator trades (15%);

In terms of share in total dropouts – hospitality (41%) and basic electrician (12%) – together account for 53% of dropped out trainees;

Across PIAs, dropout rate at 16% is highest in case of IL&FS and Centum; IL&FS too accounts for 57% of total dropped outs followed by DB Tech (27%);


Reasons for dropping out varies

‘Not interested’ – major reasons for dropping out;

6% also dropped out because of ‘non-availability of trainer’ ;

PIAs followed-up with all the dropped out trainees but remained unsuccessful.

Not Intereste

d

Home Sick

Family

Problem

No Train

er

Got Job/H

igher S

tudies

Health Problem

Personal

reasons

0.0

20.0

40.0

60.066.3

11.3 7.7 6.3 3.3 3.3 1.7

Reasons for Dropout (in%)


Dropout rates varies across trades

Trades Dropout Rate Ongoing Trg. Completed Trg. Basic Electrician 13.9 12.4 73.7Electrical 6.5 18.0 75.5Automobile Repair 7.4 0.0 92.6Basic Welding 10.9 0.0 89.1Computer Fundamentals 47.5 0.0 52.5Construction 0.0 100.0 0.0General Security 0.5 42.4 57.1Helper Mason 19.4 0.0 80.6Hospitality 13.3 7.6 77.8Hospitality - General 4.6 13.2 82.1ITES 2.4 0.0 97.6ISMO 4.6 23.1 72.3SMO 14.7 0.0 85.3Retail 5.6 0.0 94.4Security 15.8 0.0 84.2Total 9.3 12.1 78.3


Assessment and passed-out rates are impressive Assessment and passed out rate at 78% and 90% respectively is

quite high compared to other similarly placed training programmes

Assessment and Passed out Parameters Male Female TotalTotal Capacity/enrolled trainees 2137 1090 3227Number of trainees assessed/completed course (in Number) 1,629 897 2,526Number of trainees certified & passed out (in Number) 1,499 765 2,264Assessment Rate (% trainees assessed to total enrolled students) 76.23 82.29 78.28Certified & Passed out Rate (% trainees passed-out to total assessed) 92.0 85.3 89.6

Proportion of female trainees with A+ & A grades higher compared to males


Assessment and passed-out rates varies across PIAs Assessment rate lower than overall average for NESA,ILF&S and DB

Tech Pass-out rate is lowest in case of NIPS & Centum

PIAs

Total Capacity/enroll

ed trainees

Number of trainees assessed/completed course (in Number)

Number of trainees

certified & passed out (in

Number)Assessment

Rate

Certified & Passed out

Rate

Centum 122 103 28 84.4 27.2

DB Tech 1,222 943 943 77.2 100.0

IL & FS 1,099 826 826 75.2 100.0

NESA 210 120 120 57.1 100.0

NIPS 242 210 23 86.8 11.0

SS Netcom 332 324 324 97.6 100.0

Total 3,227 2,526 2,264 78.3 89.6


Labour market outcomes are impressive & inclusive

At the overall level - placement rate is 71 %;

Placement rate marginally higher for female (72%) than male (70%) trainees;

Male Female Total

Trainee Placed (in number) 1,055 554 1,609

Trainees passed out (in number) 1,499 765 2,264

Placement Rate (in %) 70.4 72.4 71.1


Placement rates are high but with variations across PIAs

Best performing PIAs in terms of placement rate are - NESA, ILFS & DB Tech, while performance of NIPS is not very encouraging

Centum DB Tech IL & FS NESA NIPS SS Netcom0.0

10.020.030.040.050.060.070.080.090.0

100.0

56.364.4

71.7

95.0

11.6

64.8

Placement Rate by PIAs (in %)

Note: Placement rate for Centum and NIPS calculated as % to total assessed while for rest from total passed-outs


Placement rates differs across trades Placement rate ranges between 95-100% for trades such as Helper

Masson, SMO & General Security; Placement rate negligible in case of construction and 43-45% in case

of hospitality-general and security trades;

Trades Placement Rate* Trades Placement Rate*

Basic Electrician 60.0 Hospitality 74.9

Automobile Repair 71.5 Hospitality - General 43.5

Basic Welding 57.1 ITES 64.8

Computer Fundamentals 57.1 ISMO 78.3

Construction 0.0 Retail 75.8

Electrical 61.0 Security 45.8

General Security 95.0 SMO 98.4

Helper Mason 100.0 Total 71.1Note: Placement rate for computer fundamental course is calculated as % to total assessed while for rest from total passed-outs


Majority of trainees placed outside the state Higher proportion of female (77%) trainees placed outside the state –

mostly in Tamil Nadu and Karnataka (almost 62%); In contrast, 74% male trainees placed outside the state – with NCR,

Karnataka and Tamil Nadu accounting for largest shares; placement of male trainees more evenly spread-out compared to female trainees;

Sewing machine operator (51%) and customer care executive (17%) – were the most important occupations in which female trainees were placed;

Male trainees were placed in a wide variety of occupations but most importantly as – trainees (32%), electrical assistant (14%) security guard (14%) & customer support executive (7%);

Most important sector of placement of both male and females trainees were – tourism and hospitality (22%); textile and garment (21%); electrical, electronics and IT hardware (19%) & call centre (13%)

Largely, trainees were placed in occupations/sectors as per their training/trade backgrounds;


Earning outcomes are attractive to the new entrants Average monthly earnings at Rs. 6133/- is attractive & higher than the

minimum monthly wage rate for skilled workers by 1.4 times; Average earnings between female and male trainees varies but not

significantly; Female earnings shows wide variance which suggests that among the

females there are high degree of variations in monthly wages;

Gender Mean SD Variance Min Max N

Male 6202.189 1523.069 2319740 2500 25000 943

Female 5987.341 2127.587 4526628 3000 25000 443

Total 6133.518 1,741 3032402 2500 25000 1386

Earning outcomes fluctuate across trades: students graduated from automobile repair/computer fundamental courses command higher average wage in the market compared to those with ITES or security background;

Across trades - hospitality and computer fundamentals shows high degree of variations in average wage between different trainees.


Earning outcomes fluctuate between trades

Trades Mean SD Variance Min Max NBasic Electrician 6952 300.9023 90542.18 6000 7500 111Automobile Repair 7504 1514.334 2293209 4500 9403 108Basic Welding 5593 1076.074 1157936 5300 9403 28Computer Fundamentals 7436 3735.311 1.40E+07 4000 17500 11Construction . . . . . 0Electrical 6069 850.2002 722840.4 2500 6969 128General Security 5111 256.3765 65728.92 5000 5700 114Helper Mason 7253 278.3661 77487.68 6950 7500 29Hospitality 6566 2337.86 5465589 3500 25000 366Hospitality - General 5032 429.0355 184071.5 4000 6000 54ITES 4500 . . 4500 4500 1ISMO 5575 1017.853 1036024 3000 7200 245Retail 6410 4055.08 1.64E+07 3500 14525 21Security 4916 1037.202 1075788 4000 7000 44SMO 5672 1477.306 2182434 4000 7000 126

Total 6134 1741.379 3032402 2500 25000 1386


Earning outcomes are better for trainees placed outside the state

Average monthly earnings & minimum and maximum earnings per month are better for trainees placed outside the state;

Location of Work Mean SD Variance Min Max N

Within Meghalaya 4946 865.5227 749129.6 2500 10000 189

Outside Megahalaya 6321 1770.836 3135859 4000 25000 1197

Total 6133 1741.379 3032402 2500 25000 1386

Average monthly earnings is weakly correlated with age, education level but shows high degree of correlation with sector/occupation and place of work;

Some of the important employers from placement perspectives are: Shahi Exports Pvt Ltd; Sodexo; Cotton Blossom, Aircel; Neha Associates; Ranger Security & Services; Minda Furukawa & Vodafone


Some key concerns & way forward Regional disparity – the skills training interventions are located in a few

pockets, which are advanced locations in the state; Enrolment of female trainees at 33% is less than their share in the 15-

35 age cohort of the state; Concentration of trainees in a few trades, while their participation in

other trades is very low; Lack of standard curricula, duration of course, absence of third party

assessment and certifications and limited number of trades; Quality of training in terms of grades awarded shows average results; Sustainability of placed trainees is a key concern – nearly 30 %

trainees are placed as ‘trainees’; Monthly wages and earnings for nearly 10 % of the placed trainees is

less than the minimum wage of the state for skilled workers; While monitoring of skills training programme and performance

reporting is appreciable for some of the PIAs, the same is not true for all.

Dropout rates are low but needs to be minimised through counselling and better screening of candidates


Thank You !!!!

WORKSHOP ON SKILL DEVELOPMENT IN MEGHALAYA: A WAY FORWARD Performance of the MSSDS State Plan Scheme: Setting the Baseline for SCF British Council TA Team.

Documents

mssds scheme

mssds pias

mssds state plan scheme

training cost

skills development

way forward performance

trainee data

trained youth