. International Journal of Economics and Financial Issues ISSN: 2146-4138 available at http: www.econjournals.com International Journal of Economics and Financial Issues, 2020, 10(3), 149-157. International Journal of Economics and Financial Issues | Vol 10 • Issue 3 • 2020 149 Analysis of the Determinants of Participation, Strengths and Weaknesses of Vocational Trainings of Federally Administered Tribal Area’s Development Authority Sami Ullah*, Zilakat K. Malik Department of Economics, University of Peshawar, Pakistan. *Email: sami00212@yahoo.com Received: 12 March 2020 Accepted: 25 April 2020 DOI: https://doi.org/10.32479/ijefi.9779 ABSTRACT Modern economist emphasized human capital formation for socio-economic development. Human capital theory considered education and training essential tools for human capital formation. This study was conducted to analyze what factors determines participation rate of youth in vocational trainings of Federally Administered Tribal Area’s Development Authority. Study also focused strengths and weaknesses of the trainings delivered. Data was collected on well-structured questioners from 400 respondents selected through disproportionate simple random sampling. The results revealed that age, marital status, father education, father profession, family size, family income and employment status before participation have significant effect on participation rate. Short duration, poor linkages with industries, lack of tool kits, career counseling, internship facility and post training financial support were recorded potential issues that challenged the achievement of anticipated outcomes of the program. Keywords: Federally Administered Tribal Areas, Vocational Training, Human Capital, Technical and Vocational Education and Training, Determinants JEL Classifications: I21, J24 1. INTRODUCTION Modern economists emphasize a lot on investment in human capital consider as a pathway for socio-economic development of individuals and nations. Due to its keen importance; human capital development remained a considerable subject in various well known conventions and international conferences (Nafukho and Bunyi, 2013). Both technical education and vocational skills training are the key contributors to human capital development across the globe. Human knowledge and skills is the engine for social and economic development of nations (Goel, 2010). Vocational skills training means the acquisition of practical skills related to different occupation i.e. engineering, construction, agriculture, carpentry, dress making, automobile and electronic etc. Skills development has been the national development strategy for many countries. It increases the efficiency and productivity of workers, employability and self-employment. It makes the labor market entry convenient, make it easy for youth to attain employable skills and increase monthly earnings. It makes individual to earn them without looking to white collar jobs in government or in private sector. The reality of more than 95% employment of youth in Germany and Poland is due to its skilled worker. Asian tigers i.e. Thailand, Malaysia, North Korea, Singapore and Hong Kong etc. saw the face of rapid development and industrialization due to its keen focus on human capital development. Despite economic and labor market outcomes, development of vocational skills also breeds a lot of social benefits. Labour market has become more specialized and demand high order technical and vocational skills. Governments, National and International organizations are intensively investing in vocational and technical skills trainings (Ullah et al., 2017). This Journal is licensed under a Creative Commons Attribution 4.0 International License International Journal of Economics and Financial Issues | Vol 10 • Issue 3 • 2020150 Ullah and Malik: Analysis of the Determinants of Participation, Strengths and Weaknesses of Vocational Trainings of Federally Administered Tribal Area’s Development Authority The existing literature shows that participation of individuals in Technical and Vocational Education and Training (TVET) depends on individual personal characteristics, family background and quality parameters of the program. Participation ratio in vocational training is less than participation in general education. Participation ratio in TVET is higher for male than female (Evertsson, 2004). According to Ben-Porath (2002), chances of participation of individuals in skills training decrease with increase in age. Younger people participate more than their older counterpart. Similarly probability of participation in vocational and technical trainings decrease when individual is married (Pischke, 2001). Probability of attainment of skills training is directly proportional to qualification of individuals. Both are found complementary to each other. Occupations also influence skills attainment decision of people. Individual with occupation that requires higher skills are more likely to participate in skills training than others. Similarly employees working in capital intensive industries participate more in skills trainings. The same effect is observed for full time workers (Draca and Green, 2004). Efficient training delivery is required to achieve the core benefits and anticipated outputs of a vocational skills development program. According to Hanushek (1995) and Kremer (1995) quality of the skills training is important supply side factor expected to effect the demand. Skill development depends on a number of factors including the inclusion of practical and theoretical components in appropriate proportion (Wagner and Tahir, 2005). In vocational training system, better equipment and learning material could enable the students to do better in their learning (Makombe et al., 2016). Vocational training system lacks internal and external efficiency because of shortage of training materials and equipments that further worsen employment rate and earning level of graduates (Association of Tanzania Employers, 2011). Strong collaboration of training institutes with relevant industries is strongly needed for upgrading the skills of graduates and other employees in line with technological advancements as well as the new ways of conducting business (Khan et al., 2019). Hujer et al. (2006) in a paper stated that the effect of vocational training on unemployment duration in Eastern Germany was significantly negative due to the hypothesis that the programmes offered were not compatible with market demand. According to Brunello and Rocco (2017) the wage and employment returns to VET are higher in countries where the relative supply of VET graduates was low with high demand. Career counseling and guidance is the process of supporting vocational graduates to accept and develop an adequate picture of him and to make them aware of their role in practical world environment (Ezeji, 2004). Practical vocational guidance and career counseling programs are needed more than ever because of technological advancement in changing world (Dokubo and Dokubo, 2013). Co-operation of the Institute administration and program sponsoring agency play a positive role in successful delivery of technical and vocational skills training program. Cooperation and persistence guidance from both side have significant impacts on outcome. Furthermore demand for a certain trade and relevancy to local industries is very important. Training the rural people open receive is inappropriate to the skills base needed for their local community and local industries (Rosholm and Skipper, 2009). FATA is the home for 5,001,676 individuals and a sizeable pool of unemployed youth reside (Pakistan Bureau of Statistics, 2017). An analysis report by National Vocational Technical Training Commission (NAVTTC) in 2017 indicated drop out in TVET sector is 27% in FATA which is much more than other parts of the country (NAVTTC, 2017). The participation rate of youth in vocational skills training is far less than enrolment in general education. In order to improve the participation rate, it is important for policy makers and concerned organizations to understand the mechanism underlying participation decisions of youth. Information on predictors of participation in vocational training enable policymakers to design and target appropriate strategies for policy-relevant subgroups. This paper addresses this knowledge gap by providing an overview of the determinants of participation in vocational skills training of FATA youth. Nevertheless, vocational skills training sponsored by FATA-DA have not yet achieved its anticipated targets. Majority of FATA youth do not foresee training as important. Therefore, this study was conducted with the following two objectives; i. To analyze the determinants of participation in vocational trainings of FATA-DA. ii. To analyze the strengths and weaknesses of vocational trainings of FATA-DA. 2. LITERATURE REVIEW According to Ben-Porath (1967) age of the respondent is negatively related to skills training participation. Agodini et al. (2004) in a study in US find out that participation rate of individual in vocational courses are positively related to their low academic performance. Curtis (2008) showed in his study that students with low level literacy and numeracy abilities are more likely to participate in short term vocational certificates. On the other hand Moenjak and Worswick, (2003) conducted a study in Thailand using probit model find out that academic performance has positive impact on enrolment in TVET for male only. Blasco et al. (2013) confirmed in his study in France that aged individuals are more likely to participate in short term training and learning program. Family income had a small but positive significant impact on decision of youth in attainment of TVET certificates/ diploma (Behrman and Knowles, 1999) (Psacharapoulos, 1988). Influence of parent’s education in TVET enrollment has not been focused as such however certain have showed a significant positive relationship among both (Curtis, 2008; Moenjak and Worswick, 2003). Fullarton (2002) concluded in Australia that with increase in parents’ education, children are less likely to participate in secondary-level technical and vocational education. Quality of the training being the supply side factor affects the demand for training participation (Hanushek, 1995; Kremer, 1995). According to the findings of (Birdsall, 1985), (Glewwe and Jacoby, 2006), (Tansel, 2002) a positive relationship exists between quality of training and enrolment. In labor market outcomes professional occupation growth rate is positively related to TVET enrolment (Grubb, 1988). Provision of equipments and instruments play a significant role in viability and sustainability of vocational training program. The adequacy of necessary equipments and material ensure the delivery of training adequate and provide easy way to the trainers Ullah and Malik: Analysis of the Determinants of Participation, Strengths and Weaknesses of Vocational Trainings of Federally Administered Tribal Area’s Development Authority International Journal of Economics and Financial Issues | Vol 10 • Issue 3 • 2020 151 in explaining facts (Khan et al., 2019). Vocational skills training may be seriously hampered due to the lack of sufficient resources (Hadda and Sergio, 1990). Vocational skills training accommodate a small fraction of school leavers and very few skills needed in rural areas are taught (Owano, 2010). Internship is the efficient way of technical skills delivery. It is estimated that 40% of skills are acquired through field internship program worldwide (World Bank, 1994). Parents’ involvement has a strong influence on enrolment and learning process of children. Parents support and encouragement increase children confidence and expansion of positive attitude towards attainment of education and technical skills (Moss and Bloom, 2006). Well established practical laboratories, workshops and proper space are needed in technical skills development training to maximize its output and outcome (Greaney and Kellaghan, 2005). Individual’s characteristics like age, sex, education, parent’s education, parent’s occupation etc. also affect skills attainment (Achieng, 2012) Mature students adjust easily to the requirement of learning designed for younger people. Elder individual join the institutes again after a long time for the acquisition of working skills (Richardson and van den Berg, 2005). Indiscipline and lack of punctuality worstly affect the skills acquisition and results in poor performance of individuals (Mukwa and Too, 2002). Indiscipline of the trainees had been the major cause of mass failure of skills development training and adult learning program (Njoroge and Nyabuto, 2014). He observed that in Kenya 50% of the individual are not properly graduated in vocational training due to indiscipline. (Njati, 2011) suggested that infrastructure facilities should be provided to youth polytechnic for efficient performance. (Lawrence, 1975) argues that teaching methodology has significant impact on learner’s acquisition of skills and knowledge. Subject matter, instructional material and objectives are the factors influence teaching methodology. Volk et al. (2003) suggested the government of Japan after observing the crucial importance of youth skills development in bringing economic prosperity that the concerned should focus to equip the institutes through sufficient training resources, ensuring attractive packages and engage in widespread campaign. Aryeetey et al. (2011) studied that in Ghana due to minimum allocation of funding, general negative perception of people and less trained instructors the vocational trainings had not been very successful. 3. FEDERALLY ADMINISTERED TRIBAL AREAS (FATA) 3.1. Demographic Profile of FATA FATA is the home for 5,001,676 individuals (2.4% of Pakistan population) living in 558,379 number of households (1.73% of household in Pakistan) (Pakistan Bureau of Statistics, 2017). In FATA, 4,859,778 individual (97.1%) reside in rural areas and 141,898 individuals (2.9%) resides in urban areas. Population growth rate was recorded as 2.41 % where it was little bit high in urban areas than rural area in FATA. Among them 2,556,292 (51.1%) are male, 2,445,357 (48.7%) are female and 27 (0.0005%) are transgender (Pakistan Bureau of Statistics, 2017). Detail of agency wise population is presented in the Table 1 below as per 2017 population census (Pakistan Bureau of Statistics, 2017). 3.2. Technical Vocational Education and Trainings (TVET) IN FATA FATA is blessed with huge human resource in the form of youth but due to flaws in the quality and quantity of technical and vocational education and training; this resource pool is not so much productive. The situation of TVET is also not good all over the country but it is worse in terms of FATA. An analysis report on TVET sector in Pakistan by National Vocational Technical Training Commission (NAVTTC) in 2017 indicated that drop out in TVET sector is 27% in FATA which is much more than other parts of the country. As a whole, 09 technical 52 vocational institutes are imparting technical and vocational trainings to FATA youth which is 2% of the total institutions in Pakistan. Among them 50% vocational and 80% technical are public sector institutes. In all public sector vocational institutes in FATA, there is a capacity of 7248 instructors to be employed but only 341 instructors are presently imparting vocational trainings to FATA’s youth. According to the survey “English Speaking course” is the most popular course which is about 21% of the supply of vocational courses followed by tailoring which is 14% of the total supply (95-100% in the case of female). Computer and IT courses have 13% total supply in TVET sector in FATA. The annual share of skilled workforce from FATA is <1% in overall while its share in country population is 2.2%. Intervention is needed in order to increase the share of FATA in skilled workforce at least up to 2% (NAVTTC, 2017). Table 1: Agency/FR wise population and households in FATA (2017 population census) S. No. Agency/FR Area (Sq. Km) Population Households 1 FATA (Overall) 27,220 5,001,676 558,379 2 Bajaur Agency 1290 1,093,684 120,457 2 Mohmand Agency 2296 466,984 48,118 3 Khyber Agency 2576 986,973 111,558 4 Kurram Agency 3380 619,553 67,244 5 Orakzai Agency 1538 254,356 31,253 6 North Waziristan Agency 4707 543,254 59,003 7 South Waziristan Agency 6620 679,185 80,717 8 FR Peshawar 261 64,691 7,065 9 FR Kohat 446 118,578 14,339 10 FR Bannu 877 43,114 4,188 11 FR Lakki Marwat 132 26,359 3,348 12 FR Tank 3229 36,389 4,165 13 FR D.I. Khan 2008 68,556 6,924 International Journal of Economics and Financial Issues | Vol 10 • Issue 3 • 2020152 Ullah and Malik: Analysis of the Determinants of Participation, Strengths and Weaknesses of Vocational Trainings of Federally Administered Tribal Area’s Development Authority 3.3. Technical and Vocational Training Institutes Table 2 below shows a list of institutes in which FATA’s youth were imparted vocational trainings by FATA Development Authority Peshawar (FATA-DA Annual report, 2017). 3.4. List of Trades FATA Development Authority (FATA-DA) imparted vocational trainings in more than 70 different market oriented trades to FATA’s youth. Detail of such trades is listed in the Table 3 below (FATA-DA Annual report, 2017). 4. RESEARCH METHODOLOGY 4.1. Study Area and Target Population FATA was selected as a study area because of the reason that FATA is the most marginalized community of the country. Furthermore, FATA DA has imparted vocational training to more than 50 thousands youth of the area. 740,552 youth including 23,296 who participated in any vocational training of FATA DA was selected as target population. 4.2. Sample Size and Sampling Technique A sample size of 400 male in the age of 15-34 years was selected from total population. 200 male were selected from treatment group and 200 from control group. The sampling method applied was disproportionate random sampling procedure where samples were taken from uneven group of people. The following Slovin’s formula was used while taking sample. Sample size (SS) = N/1+(a)2 N= Target population from which sample was drawn a = Margin of error at 95% confidence level i.e. 100%-95% = 5%. 4.3. Data Collection and Data Analysis Well-structured questioners were designed and self-administered for data collection from the respondents. Data was collected in a total period of 4 months. At certain places indirect mode of data collection was also applied where it was not possible through direct interaction. Data was sorted and analyzed in SPSS (Statistical Software for Social Sciences). Binary logistic regression analysis was conducted to analyze the determinants of participation in vocational trainings of FATA-DA. Binary logistic regression is normally used to avoid the shortcoming arise during linear regression analysis like probability of occurrence of an event may fall outside (0/1) interval. The model used was; 4.4. Model Specification Pi= β0+β1Age+ β2MSt+β3FSz+β4FR+β5Edu+β6FEd+β7FP+β8FI +β9HH+β10SBT+...+ε (1) Where, Pi represent probability of participation, β0 = Intercept term, Age = Respondent Age, MSt. = Marital Status, FSz = Family Size, FR = Family Residence, Edu= Respondent Education, FE = Father Education, FP = Father Profession, FI = Family Income, HH= Household Head, SBT = Employment status before participation in training, ɛ = error term. Likert scale was used to analyze the strengths and weaknesses of vocational trainings of FATA-DA. In this case data was collected only from 200 respondents from treatment group (those who participated in vocational trainings. 5. RESULTS AND DISCUSSION 5.1. Determinants of Participation The output of binary logistic regression analysis in the Table 4 below shows that variable; age of the respondents, family size, father education, father profession, family income, employment status before training and marital status of the respondents have overall significant relationship with dependent variable i.e. probability of participation. Certain other important variables like respondent education, family residence, and household head were found to have insignificant relation (P > 0.05) and were found individually not good predictor. It is evident from the results that increase in age of the respondents increase probability of participation in vocational training. The odd ratio age (3) shows that individuals fall in age group “26-30 years” are 1.164 times more likely to participate in vocational training of FATA-DA than other age groups. These findings are in line with the study of Blasco et al. (2013) in France that individual with more education and age likely to participate more in short term employment training program. Family size as a whole was observed to have significant positive relationship with dependent variable “P.” The probability of participation in vocational training increases with increase in family size. The higher impact was observed in case “FSiz (3),” and “FSiz (2).” The respondents belonging to families having more than 12 members and families having 9-12 members are 6.19 and 3.16 times respectively more likely to participate in the said program as compared to small size families. In large size families, due to availability of maximum number of young male, it is convenient for at least one young member to spare Table 2: List of institutes Construction Technology Training Institute (CTTI), Islamabad Pak Emirates Polytechnic Trade, Training and Test Centre, Rawalpindi Khyber Institute of Technical Education (KITE), Peshawar National Institute of Sciences and Technical Education, Islamabad Waziristan Institute of Technical Education (WITE), SWA National Institute of Cultural Studies, Islamabad Agricultural Light Engineering Program (ALEP), Mardan Wana Institute of Technical Training, Wana Gems and Gemological Institute of Pakistan (GGIP), Peshawar Precision System Training Centre, PCSIR Peshawar Swedish Group of Technical Institute, Wah Cantt Govt. Technical and Vocational Center, Peshawar Dimension Stone Center, PCSIR Laboratory, Peshawar Pak German Wood Working Center, Peshawar Govt. Advance Technical Training Institute, Peshawar Pakistan Readymade Garment Training Institute, Lahore Fan Development Institute, Gujrat Leather Goods Services Center, Bannu Automotive Training Center, Small Industrial Estate, Peshawar National Logistic Cell, Mandra Pakistan Knitwear Training Institute, Lahore Ensign Communiqué, Karachi Ullah and Malik: Analysis of the Determinants of Participation, Strengths and Weaknesses of Vocational Trainings of Federally Administered Tribal Area’s Development Authority International Journal of Economics and Financial Issues | Vol 10 • Issue 3 • 2020 153 time and to avail the opportunity of participation in vocational training. Father education was also found to have positive significant relationship (P < 0.05) with dependent variable “P.” The greater impact was observed in case “FEdu (1),” where it is indicated that respondents who’s fathers were illiterate are 6.208 times more likely to participate as compared to others. High educated parents prefer general education on vocational for their children. Father profession was also observed to have positive significant relationship with dependent variable “P.” The result shows that individuals whose fathers were in government service participated more than others. The odd ratio interprets that they are 3.19 times more likely to participate in vocational training. It is logical that parents in service know the benefits of training hence motivate their children too. Family income also has positive significant relationship with dependent variable “P.” Odd ratios of family income categories “FI (3) and FI (4)” indicated that individual belonging to families having monthly income 16,000-20,000 and more than 20,000 are 5.75 and 5.22 times respectively more likely to participate in the said program of FATA-DA. Probability of participation increases with increase in family income. These findings are in line with most of other studies that were looking at the relationship between family incomes, educational quests and labor market outcomes. All of them observed family income have positive, although small, effect on enrollment decisions of individuals in labour market training programs (Behrman and Rosenzweig, 2005; Behrman and Knowles, 1999; Psacharapoulos, 1997). The influence of marital status of the respondents on dependent variable was also investigated. The result indicated that unmarried individuals were 2.39 times more likely to participate than married individuals. Married individual might be due to their heavy engagement in family matters and responsibilities would have less chance to spare time for participation in trainings. Employment status before training also determines the decision of individual for his/her participation into labour markets program. The output indicated that employment status has positive significant relationship with dependent variable “P.” The odd ratio of variable SBT (1) in Table 4 below shows that individuals who were unemployed before participation are 2.92 times more likely to participate in vocational training. It’s very understandable that unemployed individuals have more time to participate. Unemployed individual readily participate in the sense they will acquired vocational skills and may get paid or self-employment. Negelkerke R Square (NRS) test value (0.372) indicates 37% of the variance in outcome or dependent variable predicted by predictors in the model. The NRS value (0.37) is logical considering the recommendation of minimum value of 0.15 (Mitchell et al., 1989). In social science where human behavior is studied, this value typically lower than 0.2 i.e. 20% (Becker and Tomes, 1986). Overall the model is significant, good enough fit to data and a good predictor. Table 3: List of trades Auto Electrician Auto Mechanics Basic Electrician Building Painter Carpet Weaving Office Automation and Management Computer (Hardware) Cutting, carving, polishing of precious and semi-precious stones Domestic Electrician Dress making and tailoring techniques Electrician Fabric and Garments Productions Gemology and Carving Gemology and Faceting General Electrician Heavy Machinery Operator Industrial Electrician Laboratory Assistant Land Surveying (With Auto CAD) Marble and Granite mining, cutting, polishing Light Engineering Leather Goods Masonry Material Testing Computer Networking Technician Telecom Technician Control Room Operator Advanced Auto Mechanic (EFI/ CNG) Construction Safety ACUDUCT Insulator Tile Mason Plaster Mason Block Mason Fall Ceiling Scarf Folder Football Stitching Leather Upper Cutting Stitching Mobile Phone Repairing Plumbing Quantity surveyor Refrigeration/Air-conditioning Repairing Sheet Metal Works Steel Fixer Surveyor Civil Turner Machinist TV/ Radio Repairing Wood Technology X-Ray Machine Operator Call Centre Operator Stitching Machine Operator Training Fan Development and Parts Manufacturing Conventional Machinery Operator Course Electrical equipment and electric fan testing course Fan Assembly Course Auto CAD 2D, 3D CAD/CAM course Computerized Numerical Control (CNC) Mechanic-II (Engine) Mechanic-II (Chasis) Optical Fiber Cable Jointing Motor Winding Stitching Machine Operator Training Fan Development and Parts Manufacturing Conventional Machinery Operator Course Electrical equipment and electric fan testing course Fan Assembly Course Auto CAD 2D, 3D CAD/CAM course Machinery Course Mechanic-II (Engine) Mechanic-II (Chasis) Optical Fiber Cable Jointing Lasting Computerized Numerical Control Table 4: Determinants of participation in vocational trainings of FATA-DA Variable B S.E. Wald Sig. Exp(B) Age --- --- 8.014 0.046 --- Age(3) 0.152 0.915 0.027 0.868 1.164 FSz --- --- 25.596 0.000 --- FSz(2) 1.150 0.485 5.616 0.018 3.158** FSz(3) 1.823 0.530 11.823 0.001 6.188* Fed --- --- 25.182 0.000 --- FEd(1) 1.826 0.687 7.069 0.008 6.208* FEd(3) 1.292 0.703 3.376 0.066 3.639*** FPr --- --- 7.017 0.071 --- FPr(3) 1.160 0.657 3.119 0.077 3.190*** FI --- --- 16.960 0.002 --- FI(3) 1.750 0.683 6.569 0.010 5.755** FI(4) 1.654 0.662 6.251 0.012 5.228** SBT(1) 1.072 0.274 15.293 0.000 2.920* MSt(1) 0.871 0.345 6.367 0.012 2.390 Constant −4.652 1.446 10.346 0.001 0.010* Model −2 Log likelihood Cox and Snell R Square Negelkerke R Square Summary 423.825 0.279 0.372 *Significant at 1% level, **Significant at 5% level, ***Significant at 10% level International Journal of Economics and Financial Issues | Vol 10 • Issue 3 • 2020154 Ullah and Malik: Analysis of the Determinants of Participation, Strengths and Weaknesses of Vocational Trainings of Federally Administered Tribal Area’s Development Authority 5.2. Strengths and Weaknesses of Vocational Trainings of FATA-DA Strengths and weaknesses of any vocational training program surely lead to either success or failure of the program. 76% training graduates were still looking for relevant jobs ((Ullah and Malik, 2019). Data was collected from respondents on the below mentioned quality parameters using Likert scale and result recorded in %. 5.2.1. The training was good and fruitful The quality of education and training is considered an important supply-side factor effecting the demand for education and training (Hanushek, 1995; Kremer, 1995). Quality skills training ends in efficient output leads to better outcome (employability and increased earning) and long lasting impacts (Socio-economic development). The respondents were asked about goodness of training and was observed that 57.5% were found agree and 19% strongly agree with the statement. Only 17% of them was found either disagree or strongly disagree. 5.2.2. Balance between theory and practical portion Nübler et al. (2009) concurred that courses and standards offered in the TVET are considered to be insufficient, lacking quality learning materials and tools. Wagner and Tahir (2005) pointed out that skills training needs practical as well as theoretical components in appropriate proportion so individuals must demonstrate that they are able to perform all of the key functions in the business. The respondents were inquired for the same reason and recorded that balance between theory and practical portion was appropriate. 58% of the respondents were found agree and 12% strongly agree with the statement. Only 17.5% were found disagree and strongly disagree. 5.2.3. Instructors were well educated, trained and sincere Institute standard, course curriculum and instructors expertise are equally important for efficient training delivery. Trainers background knowledge of the course, technical skills, dedication and sincerity play a key role in vocational learning’s (Oyebade et al., 2012). The respondents were asked the subject question and found that 56% of the respondents were agree and 18.5% strongly agree with the statement. 15% of the respondents were found either disagree or strongly disagree. 5.2.4. Availability of well-equipped laboratories In vocational trainings, laboratories setup and equipments availability play an essential role. Vocational training system lacks internal and external efficiency because of shortage of training materials and equipments that results in low employment rate and earning level of graduates [Association of Tanzania Employers (ATE), 2011]. Makombe et al. (2016) in their study argued that with better equipment and learning materials, we could enable the students to do better in their learning. Respondents were asked the same question and the result revealed 53% of the respondents were found agree and 15.5% strongly agree with the statement. 13.5% were found disagree and 8% strongly disagree with the statement. 5.2.5. Training linkages with relevant industries A strong linkage of training with industries guarantees the success of vocational training program in term of gainful employment. The same is in practice in Germany and in Poland and they reached 95-100% youth employment. During survey, 36% of the respondents were found either agree or strongly agree with the statement that their training were linked with relevant industries while 48.5% of them were found either disagree or strongly disagree with the statement. According to researcher own observations, there is no such proper linkage of the vocational training program of FATA-DA with relevant industries. Unesco (2011) and World Bank (2012), argue that there is a general need to enhance collaboration with industry in the provision of in‐house training at work places with a view to upgrading the skills of graduates and other employees in line with technological advancements and new ways of conducting business. 5.2.6. Market demand for the concerned trade/technology Hujer et al. (2006) in a paper stated that the effect of vocational training on unemployment duration in Eastern Germany was significantly negative due to the hypothesis that the program offered were not compatible with market demand. According to Brunello and Rocco, (2017) the wage and employment returns to VET are higher in countries where the relative supply of VET graduates was low with high demand. The result revealed that 58.5% of the respondents were found either agree or strongly agree with the statement that their training were compatible with market demand. 30.5% of them were found either disagree or strongly disagree and 11% neutral. 5.2.7. Career counseling and guidance Career counseling and guidance is the process of supporting vocational graduates to accept and develop an adequate picture of them and to make them aware of their role in practical world environment (Ezeji, 2001). Vocational guidance and career counseling programs are needed more than ever because of technological advancement in changing world (Dokubo and Dokubo, 2013). Students due to less understanding of job markets remain jobless after successful completion of vocational training courses. The result of the survey conducted so far revealed that 43.5% of the respondents were found either agree or strongly agree while 46% were found disagree or strongly disagree about the statement. The remaining 10.5% were neutral to the statement. 5.2.8. Co-operation of institute administration and sponsoring agency Co-operation of institute administration and program sponsoring agency play a significant role in successful delivery of training program. Strong co-ordination and follow-up may identify issues timely during training. Again it exposes the real face of progress towards goal and targets. The respondents were asked for the same reason and recorded that 50% of the trainees were found agree and 14.5% were found strongly agree with the statement. Only 24% of them were found either disagree or strongly disagree. The remaining 11.5% were found neutral. 5.2.9. Training duration According to Rosholm and Skipper (2009) often the training the rural people receive is inappropriate to the skills base needed for their local community and often short term, not geared to providing trainees with lifelong sustainable living and working skills. 90% Ullah and Malik: Analysis of the Determinants of Participation, Strengths and Weaknesses of Vocational Trainings of Federally Administered Tribal Area’s Development Authority International Journal of Economics and Financial Issues | Vol 10 • Issue 3 • 2020 155 courses in which FATA youth were imparted training were of short duration of 6 months. The respondents from treatment group were investigated whether the training duration was enough for efficient learning. The result revealed that 40% of the respondents were found agree and 11.5% strongly agree. 37.5% of the respondents were found disagree and 6.5% strongly disagree with the statement. 4.5% of the respondents remained neutral to the statement. 5.2.10. Tool kits provision Tool kits provision at the end of training give support to the poor graduates and enhance their chances of self-employment. Most of the successful training graduates heal to poor families and are unable to start self-employment due to lack of essential tools and equipments. The respondents were asked whether they had provided tool kits after course completion by FATA-DA. The result showed a major chunk of the respondents (79%) were found either disagrees or strongly disagree with the statement. Only 17% of the respondents were found agree and strongly agree. 5.2.11. Provision of course completion certificates Being a signal of one’s skills and abilities, course completion certificate in hand enhance the probability of finding a job. Delay in provision of course completion certificates obviously delays paid employment. On respondents investigation it was recorded course completion certificates were provided on time. 63% of the respondents were found agree and 23.5% strongly agree with the statement. Only a small segment (11%) of the respondents were found either disagree or strongly disagree with the statement. 5.2.12. Financial support for self-employment Self-employment generation among youth is considered the major outcome of vocational trainings. Self-employed individual become employer of others and the process of development continue. Most of the training graduates in FATA failed to established entrepreneurships due to lack of financial resources. The respondents were asked if they were supported financially for self-employment after completion of training. The results revealed that respondents have not been supported financially for self-employment by any agency. Maximum numbers of respondent (84.5%) were found either disagrees or strongly disagree with the statement of provision of financial support. 5.2.13. Provision of internship facility Provision of field internship of 6-12 months duration after completion of institute based training facilitates the first entry of youth into job market. Competent graduates perform well when given internship or field sessions and they become innovative and entrepreneurs. The respondents were asked if they were offered any field internship facility after course completion. It was recorded that field internship facility was not provided as such. 81.5% of the respondents were found either disagree or strongly disagree with the statement while 19.5% were found agree and strongly agree. 6. CONCLUSION The study concluded that age of the respondents (Age), family size (FSiz), father education (FEdu), family income (FI), marital status (MSt.), and employment status before training (SBT) have significant relationship (P < 0.05) with dependent variable “P.” The odd ratio (Exp (B)) for these variables shows that an individual fall in age group “26-30” years is 1.164 times more likely to participate in vocational training than individuals from other age groups. Similarly a person belonging to families having family size 6-8 and 9-12 are 3.18 and 6.19 times respectively more likely to participate than others. The odd ratio for father profession indicates that individuals whose fathers were government servant are 3.2 times more likely to participate than others. Individuals belonging to families having monthly income 16,000-20,000 and above 20,000 are 5.75 and 5.22 times respectively more likely to participate than individuals whose families’ income fall in less income categories. Those individuals who were unmarried and who were not employed before participation were 2.4 and 2.4 times respectively more likely to participate in vocational skills training of FATA-DA as compared to married and employed individuals. During analysis of weaknesses and strengths, it was concluded that 77% respondents were found agree and strongly agree that training delivered to them was good and fruitful. 70% respondents were found agree and strongly agree that balance between theory and practical portion was kept appropriate. 75% of the respondents were found agree and strongly agree that their instructors were well educated, trained and sincere in imparting technical skills to them. 69% of the respondents were found agree and strongly agree that well equipped labs were available inside the institutes for practical portion of the training. 37% of the respondents were found agree and strongly agree that the training was linked to the relevant industry while 48% were found disagree and strongly disagree with the statement. 59% of the respondents were found agree and strongly about the trade in which they were offered training was having high market demand while 30% respondents were found disagree and strongly disagree. 44% of the respondents were found agree and strongly agree that they were given career counseling and professional guidance before, after or during the training while 45% were found either disagree or strongly disagree with the statement. 65% respondents were found agree and strongly agree with the statement that institutes administration and FATA-DA official were found cooperative during the course of study while 24% were found either disagree or strongly disagree. 52% of the respondents were found either agree or strongly agree that training duration of 6 months was enough for fruitful training delivery while 43% were found either disagree or strongly disagree. 79% of the respondents were found either disagree or strongly disagree that they were provided tool kits after course completion while only 17% were found either agree or strongly agree. 87% of the respondents were found agree and strongly agree that they were provided course completion certificates on time. Only 10% were found either disagree or strongly disagree with the statement. 84% of the respondents were found either disagree or strongly disagree that they were financially supported after training for starting self-employment. Only 12% were found either agree or strongly agree while 4% remained neutral. In case of provision of internship facility after IBT, 84% respondents were found disagree and strongly disagree while 12% either agree or strongly agree. The study suggested that FATA-DA may increase the participation rate of FATA’s youth in the said training program by increasing the International Journal of Economics and Financial Issues | Vol 10 • Issue 3 • 2020156 Ullah and Malik: Analysis of the Determinants of Participation, Strengths and Weaknesses of Vocational Trainings of Federally Administered Tribal Area’s Development Authority efficiency of the training program. Incentives, pre and post training counseling and guidance sessions, financial support and provision of internship facilities would increase the efficiency of the training. REFERENCES Achieng, R.N. (2012), Factors Affecting Acquisition of Vocational Skills Among Youth Learners in Maranda Division Siaya County. Kenya: University of Nairobi. Agodini, R., Uhl, S., Novak, T. (2004), Factors that Influence Participation in Secondary Vocational Education. Washington, DC: Mathematica Policy Research, Inc. Aryeetey, E.B.D., Doh, D., Andoh, P. (2011), From Prejudice to Prestige: Vocational Education and Training in Ghana. London, England: Centre for Skills Development. Association of Tanzania Employers. (2011), Skills Development Assessment, SkillingTanzania-ACE-Working-Paper No. 6. Dar us Salaam Tanzania: Association of Tanzania Employers. Becker, G.S., Tomes, N. (1986), Human capital and the rise and fall of families. Journal of Labor Economics, 4(3), S1-S39. Behrman, J.R., Knowles, J.C. (1999), Household income and child schooling in Vietnam. The World Bank Economic Review, 13(2), 211-256. Behrman, J.R., Rosenzweig, M.R. (2005), Does increasing women’s schooling raise the schooling of the next generation? American Economic Review, 95(5), 1745-1751. Ben-Porath, Y. (1967), The production of human capital and the life cycle of earnings. Journal of Political Economy, 75(4), 352-365. Birdsall, N. (1985), Public inputs and child schooling in Brazil. Journal of Development Economics, 18(1), 67-86. Blasco, S., Crépon, B., Kamionka, T. (2012), The Effects of On-the-job and Out-of-Employment Training Programmes on Labour Market Histories. Documents de Travail du Centre Pour la Recherche Économique et Ses Applications, Working Papers. Paris: Cepremap. Brunello, G., Rocco, L. (2017), The effects of vocational education on adult skills, employment and wages: What can we learn from PIAAC? SERIEs, 8(4), 315-343. Curtis, D.D. (2008), VET Pathways Taken by School Leavers. Longitudinal Surveys of Australian Youth. Research Report No. 52. Camberwell: Australian Council for Educational Research. Dokubo, C., Dokubo, I. (2013), Identifiable problems inhibiting the effective management of vocational education programmes in Nigerian Universities. European Scientific Journal, 9(22), 356-365. Draca, M., Green, C. (2004), The incidence and intensity of employer funded training: Australian evidence on the impact of flexible work. Scottish Journal of Political Economy, 51(5), 609-625. Evertsson, M. (2004), Formal on-the-job training: A gender-typed experience and wage-related advantage? European Sociological Review, 20(1), 79-94. Ezeji, S. (2001), Guidance and counselling in education, enugu. In: Basic Principles of Research in Education. Nsukka: Chulbson International Press. Ezeji, S. (2004), Guidance and counselling in education, enugu. In: Basic Principles of Research in Education. Nsukka: Chulbson International Press. FATA-Development Authority. (2017), Annual Development Report 2016-2017. Available from: https://www.fatada.gov.pk/downloads/ annual-reports. Fullarton, S. (2002), Student Engagement with School: Individual and School-level Influences. LSAY Research Reports. p31. Glewwe, P., Jacoby, H. (1994), Student achievement and schooling choice in low-income countries: Evidence from Ghana. Journal of Human Resources, 29, 843-864. Goel, V.P. (2013), Technical and Vocational Education and Training System in India for Sustainable Development. India Country Paper. p1-49. Greaney, V., Kellaghan, T. (1996), Monitoring the Learning Outcomes of Education Systems. Washington, DC: The World Bank. Grubb, W.N. (1988), Vocationalizing higher education: The causes of enrollment and completion in public two-year colleges, 1970-1980. Economics of Education Review, 7(3), 301-319. Hadda, Z., Sergio, H. (1990), Investigating in the Future (The Legisla). Netherlands: Kluwer Academic Publisher. Hanushek, E.A. (1995), Interpreting recent research on schooling in developing countries. The World Bank Research Observer, 10(2), 227-246. Hujer, R., Thomsen, S.L., Zeiss, C. (2006), The effects of vocational training programmes on the duration of unemployment in Eastern Germany. Allgemeines Statistisches Archiv, 90(2), 299-321. Khan, M., Lee, H.Y., Bae, J.H. (2019), Inward foreign direct investment: A case study of Pakistan. Mediterranean Journal of Social Sciences, 9(55), 63. Khan, M., Yong, L.H., Han, B.J. (2019), Emerging techniques for enhancing the performance of humanitarian logistics. International Journal of Supply Chain Management, 8(2), 450. Kremer, M.R. (1995), Research on schooling: What we know and what we don’t a comment on Hanushek. The World Bank Research Observer, 10, 247-254. Lawrence, S. (1975), An Introduction to Curriculum Research and Development. 48th ed. London: Heinmann Educational Books Ltd. Learn, H.D.T., Them, H.T.T. (2011), UNESCO Institute for Information Technologies in Education. Brief 4. Available from: https://www. learningportal.iiep.unesco.org/en/issue-briefs/improve-learning/ curriculum and-materials/information-and-communication- technology-ict. Lumuli, N., Mayama, L. (2012), Curriculum Innovation in Kenya as a Quest for Promotion of Industrialization. Makombe, P., Mapfumo, J.S., Makoni, R. (2016), Effectiveness of block- release (part-time) education: A case study of the faculty of education at Africa University. International Journal of Research, 3, 17 Mitchell, R.C., Carson, R.T., Carson, R.T. (1989), Using Surveys to Value Public Goods: The Contingent Valuation Method. Resources for the Future. Washington, DC: RFF Press. Moenjak, T., Worswick, C. (2003), Vocational education in Thailand: A study of choice and returns. Economics of Education Review, 22(1), 99-107. Moss, H.A., Bloom, B.S. (2006), Stability and change in human characteristics. The American Journal of Psychology, 18(9), 71-78. Mukwa, C.W., Too, J.K. (2002), General Instructional Methods. Eldoret: Moi University. Nafukho, F., Bunyi, G.W. (2013), The quest for quality education: The case of curriculum innovations in Kenya. European Journal of Training and Development, 37(7), 678-691. National Vocational and Technical Training Commission. (2017), Skills for Growth and Development, TVET Policy for Pakistan. Available from: http://www.navttc.org/downloads/policies. NTP2018.pdf. Njati, C. (2011), The Impact of Vocational Training for Rural Development in Nyambene District Kenya. A Case of Muthara Youth Polytechnic, MED Thesis. Kenya: Kenyatta University. Njoroge, P.M., Nyabuto, A.N. (2014), Discipline as a factor in academic performance in Kenya. Journal of Educational and Social Research, 4(1), 289-289. Nübler, I., Hofmann, C., Greiner, C. (2009), Understanding Informal Apprenticeship: Findings from Empirical Research in Tanzania. Geneva: ILO. Ullah and Malik: Analysis of the Determinants of Participation, Strengths and Weaknesses of Vocational Trainings of Federally Administered Tribal Area’s Development Authority International Journal of Economics and Financial Issues | Vol 10 • Issue 3 • 2020 157 Owano, A. (2010), Contribution of Youth Polytechnics. Kenya: Nairobi University. Oyebade, S.A., Oladipo, S.A., Adetoro, J.A. (2007), Determinants and strategies for quality assurance in Nigerian University education system. East African Journal of Educational Research and Policy, 2, 63-81. Pakistan Bureau of Statistics. (2017), Population Census 2017. Pakistan: Goverment of Pakistan. Pischke, J.S. (2001), Continuous training in Germany. Journal of Population Economics, 14(3), 523-548. Psacharapoulos, G. (1988), Vocational education. International Review of Education, 34(2), 149-172. Psacharapoulos, G. (1997), Vocational education and training today: Challenges and responses. Journal of Vocational Education and Training, 49(3), 285-393. Richardson, K., Van den Berg, G.J. (2002), The Effect of Vocational Employment Training on the Individual Transition Rate from Unemployment to Work. IFAU-Institute for Labour Market Policy Evaluation, Working Paper No. 8. Rosholm, M., Skipper, L. (2009), Is labour market training a curse for the unemployed? Evidence from a social experiment. Journal of Applied Econometrics, 24(2), 338-365. Tansel, A. (2002), Determinants of school attainment of boys and girls in Turkey: Individual, household and community factors. Economics of Education Review, 21(5), 455-470. Ullah, S., Malik, Z.K. (2019), Evaluation of the Potential of Technical Education and Vocational Training in Socio-Economic Development of FATA Youth. Unpublished Ph.D Thesis. Pakistan: University of Peshawar. Ullah, S., Malik, Z.K., Khan, M. (2017), Economic assessment of the poverty-environmental quality nexus: A case study of malakand division. International Journal of African and Asian Studies, 33, 17-31. Unesco. (2011), ICT Competency framework for teachers. Journal of Chemical Information and Modeling, 19(5), 255-263. Volk, K., Yip, W.M., Lo, T.K. (2003), Hong kong pupils’ attitudes toward technology: The impact of design and technology programs. Journal of Technology Education, 15(1), 48-63. Wagner, K., Tahir, P. (2005), Productivity and skills in industry and services-a Britain-German comparison. The Pakistan Development Review, 44, 411-438. World Bank. (1994), MSETTP Transition from School to Work; Issues and Policies. Washington, DC: IIEP.