Submit or Track your Manuscript LOG-IN

Comparison of Off-farm Employment among Developed and Underdeveloped Villages in Peshawar Valley of Khyber Pakhtunkhwa-Pakistan

SJA_36_1_342-347

 

 

 

Research Article

Comparison of Off-farm Employment among Developed and Underdeveloped Villages in Peshawar Valley of Khyber Pakhtunkhwa-Pakistan

Haidar Ali1*, Malik Muhammad Shafi1, Himayatullah Khan1 and Hamra Haidar2

1Institute of Development Studies, Faculty of Rural Social Sciences, The University of Agriculture, Peshawar, Khyber Pakhtunkhwa, Pakistan; 2Scholar at Institute of Development Studies, The University of Agriculture, Peshawar, Khyber Pakhtunkhwa, Pakistan.

Abstract | This paper examines the comparison of off-farm employment among developed and under developed villages in Peshawar Valley of Khyber Pakhtunkhwa-Pakistan during February 15 to July 27, 2018 by using research tools such as interview schedule. A sample of 298 small farm households were selected using random sampling technique for this study. Analysis showed that small farmers of developed villages perform more off-farm employment than small farmers of underdeveloped villages. This could be associated to the developed means of transport and communications, better education facilities, market facilities as well as availability of off-farm jobs locally. Furthermore, in developed villages average per month income of small farm households from farm output was higher than the underdeveloped villages due to the high sale price of vegetables grown on large area and more milk production. Similarly, in developed villages income from off-farm employment was more than underdeveloped villages. Because large number of family labors of small farmers were working on high paid jobs or employed else or self-employed and thus contributed a good amount to their family’s income. Firstly, for removing the barriers to the entry of the small farmers into the rural off-farm sector efforts should be made. It demands better educational level in rural areas. Secondly, there should expansion in agricultural wages in rural area.


Received | March 29, 2019; Accepted | January 30, 2020; Published | March 03, 2020

*Correspondence | Haidar Ali, Institute of Development Studies, Faculty of Rural Social Sciences, The University of Agriculture, Peshawar, Khyber Pakhtunkhwa, Pakistan; Email: [email protected]

Citation | Ali, H., M.M. Shafi, H. Khan and H. Haidar. 2020. Comparison of off-farm employment among developed and underdeveloped villages in Peshawar valley of Khyber Pakhtunkhwa, Pakistan. Sarhad Journal of Agriculture, 36(1): 342-347.

DOI | http://dx.doi.org/10.17582/journal.sja/2020/36.1.342.347

Keywords | Developed and underdeveloped villages, Dummy variable, Farm and off-farm income, Regression model, Peshawar valley



Introduction

Rural off-farm sector playing a vital role in rural development. Traditionally, though in developing countries many rural households were engaged in agriculture sector. But there is a lot of evidence that rural small farmers can have often multiple source of income i.e. self -employment in commerce, manufacturing and service sector and wage employment (non-farm sector). Such non-farm incomes can contribute significantly to total incomes of farming households in developing countries (Ali et al., 2014).

The agriculture sector is the backbone of underdeveloped economies, providing the food supply and labor force for emerging manufacturing and service industries. But agricultural productivity is generally low in underdeveloped economies due to inefficiencies in production and exchange. The most notable hindrance to agriculture productivity growth is the imperfection of labor and capital markets. While employment opportunities are few in rural areas, labor shortages may arise in the peak season as an increasing number of rural residents are withdrawn to cities for better-paid jobs (Ali et al., 2014). Farmers in developing countries are frequently facing financial constraints to productive investments. Off-farm activities in rural areas of Pakistan seem to offer a promising solution to these problems by creating local employment opportunities and generating new sources of income for investment (Babatunda, 2017). Evidence is abundant that off-farm activities have made significant contribution to the growth of rural economies and to rural poverty reduction.

In Pakistan, large population relying on agriculture still living below poverty line the main reason behind this scenario seems to be the low level of their income due to unequal distribution of landholdings, disguised unemployment, traditional methods of production, low productivity. Farm size is shrinking due to land fragmentation and law of inheritance in rural areas of Khyber Pakhtunkhwa small farm holders find it difficult to make both ends meet exclusively from agriculture. Farmers work hard throughout the years but when they sell their product, they do not get the reward for all this hardship. Stagnant agricultural productivity and low returns in farming have led rural residents in rural areas of Khyber Pakhtunkhwa to look elsewhere for alternative or supplemental income opportunities, primarily though off-farm employment (Khan, 2007).

In this respect, the present research is an effort; with the goal to identify the comparison among developed and underdeveloped villages in Peshawar Valley of Khyber Pakhtunkhwa.

Materials and Methods

The area selected for intensive research consists of six villages namely Dawood Zai, Rajjar, Mado, Garhi Baghbanan, Mufti Abad and Mian Khan. Selection of villages were based on the backwardness and development factors i.e. road infrastructure, health facilities, education facilities etc. From the above perspective Mado, Rajjar and Dawood Zai were comparatively developed villages while Mian Khan, Mufti Abad and Garhi Baghbanan were comparatively underdeveloped villages. Almost all type of infrastructural facilities including transport, communication, education, health and markets were available in above named developed villages. On other hand, all the aforementioned facilities were lacking in above named underdeveloped villages. The prevailing wellspring of livelihood is farming in these villages.

Census is difficult in view of restriction enforced by limited time and financial constraints. Therefore, 20% sample size was settled and were properly divided into above mentioned villages through proportional allocation method. Furthermore, unit of analysis for the present research was household. Data were collected from the head of small farmers at household level. Primary data were collected from 298 households out of 1491 small farm households by interviewing the head of the sample household in person.

Multiple regression model OLS (ordinary least square model) with dummy variables for comparison of off-farm employment among developed and underdeveloped villages was used. A similar model was also used by Khan (2007) and Mecharla (2002).

For the above purpose the following multiple regression model with dummy variables was used. 

Image5251410.PNG 

Whereas;

β0= Intercept or constant term; β1 to β5= Regression coefficients; Yi Off-farm employment of household i (Hours/Week); D1i 0 Otherwise, 1 If household i belong to Dawood Zai village; D2i 0 Otherwise, 1 If household i belong to Garhi Baghbanan village; D3i 0 Otherwise, 1 If household i belong to Mado village; D4i 0 Otherwise, 1 If household i belong to Mian village; D5i 0 Otherwise, 1 If household i belong to Rajjar village; εi Error term.

Results and Discussion

Average time spent by small farm households on off-farm employment according to farm size in the research area is shown in Table 1. According to which highest (39.79 hours) average working hours used up per week on off-farm employment was noted on farm size up to 1 acre followed by from 1.1 to 2 acre (34.95 hours), from 2.1 to 3 acre (26.23 hours), from 3.1 to 4 acre (19.26 hours) and above 4 acre (12.98 hours) in overall developed and underdeveloped villages.

Table 1: Time Spent by Sample Households on Off-Farm Employment per Week (Hour).

Farm Size (acre) Time Spent of Small Farm Households in (Hours)

Peshawar Charsadda Mardan Overall
Dawood Zai Garhi Baghbanan Rajjar Mufti Abad Mado Mian Khan
Up to 1 49.75 36.50 42.50 30.50 44.50 35.00 39.79
1.1-2 43.25 33.50 39.00 23.65 41.75 28.55 34.95
2.1-3 33.65 21.90 29.80 16.00 33.50 22.50 26.23
3.1-4 24.40 17.65 22.75 13.30 23.60 13.85 19.26
Above 4 18.20 11.40 17.00 5.95 17.50 7.85 12.98
All Farms 39.52 30.65 34.07 22.36 36.59 24.66 31.94

Source: Field Survey, 2018.

Table 2: Small farm households income from farm output.

Particulars Household Income from Farm Output per Month (PKR)

Peshawar Charsadda Mardan Overall
Dawood Zai Garhi Baghbanan Rajjar Mufti Abad Mado Mian Khan
Maximum 6050 4950 6740 5170 6450 5020 34380
Minimum 2750 2450 3620 2950 3250 2870 17890
Average 4400 3700 5180 4060 4850 3945 26135

Source: Field Survey, 2018.

With the increase in farm size working hours spent per week on off-farm employment was decreased and vice versa. Which show the presence of negative relationship between farm size and off-farm employment. Sampled respondents belonging to farm size up to 1 acre spent per week average working hours on off-farm employment were more in the research area as compared to small farmers belonging to different categories of farm sizes i.e. (from 1.1 to 2 acre, from 2.1 to 3 acre, from 3.1 to 4 acre and above 4 acre). The reasons were the involvement of more family labors in farming activities. Furthermore, in developed villages sample farm households spent more average working hours on off-farm employment as compared to underdeveloped villages of three districts. Which means that opportunity and accessibility to off-farm jobs (govt. jobs, part time employment and small business activities) and local markets are more as compared to underdeveloped villages. The aforementioned findings are identical with the results (i.e. off-farm activities were more in developed villages as compared to underdeveloped villages) found by Babatunda (2017), Monica (2003) and Vijay (2017) in their study area.

Detail explanation regarding income from farm output of small farm households are given in Table 2. In the research area small farmers’ average per month income from farm output was 26135 PKR ranging from 34380 to 17890 PKR.

Income from farm output of small farmers belonging to underdeveloped villages was lower than the sample small farmers of developed villages. In developed villages the possible reason may be high sale price of vegetables grown on large area and more milk production. While in underdeveloped villages the price of vegetables was low it may be due to the remoteness, lack of awareness among sample households and backwardness of infrastructure. The above results showed similarity with the findings of Kuhnen (1989) and Babatunda (2017).

Self-employment i.e. retailers, wholesalers, transport operators and private entrepreneurs as well as remittances of the family members of small farmers are also part of off-farm employment. Furthermore, seasonal skilled and semi-skilled jobs like carpentry, brick lying, blacksmith, and employment in public and private sectors are also including in off-farm employment.

Table 3 illustrates average per month income of sample households from off-farm employment in developed and underdeveloped villages which was 38950 PKR ranging from 26450 to 51450 PKR.

Table 3: Sample Respondents income from off-farm employment per month (PKR).

Particulars Household Income from Off-farm Employment per Month in (PKR)
Peshawar Charsadda Mardan Overall
Dawood Zai Garhi Baghbanan Rajjar Mufti Abad Mado Mian Khan
Maximum 10000 8250 8950 7350 9050 7850 51450
Minimum 5000 3950 4550 3450 4950 4550 26450
Average 7500 6100 6750 5400 7000 6200 38950

Source: Field Survey, 2018.

Table 4: Off-farm occupational status among sample households.

Types Percentage Off-farm Occupational Pattern in
Peshawar Charsadda Mardan Overall
Dawood Zai Garhi Baghbanan Rajjar Mufti Abad Mado Mian Khan
Permanent Employees 8 (19.51) 4 (11.43) 12 (25) 5 (15.15) 10 (22.22) 3 (10) 42(18.10)
Trade and Commerce 14 (34.15) 10 (28.57) 16 (33.33) 13 (39.39) 17 (37.78) 12 (40) 86 (37.07)
Daily Paid Labors 19 (46.34) 21 (60) 20 (41.67) 15 (45.46) 18 (40) 15 (50) 104 (44.83)
All 41 (100) 35 (100) 48 (100) 33 (100) 45 (100) 30 (100) 232 (100)

Source: Field Survey, 2018.

For small farmers belonging to underdeveloped villages average per month income was lower than the small farmers belonging to developed villages. It means sample small farm households from developed villages were donating a good amount to their family’s income because large number of their family labor were self-employed i.e. wholesalers, retailers, or private entrepreneurs or working on high income paid jobs. It indicating that small farmers from developed villages were having more education than sample farm households of underdeveloped villages. The findings of Den and Kumbi (2006), Giorgi (2001) and Zahid (2006) are supporting the results. They founded that average per month income of small farmers belonging to developed villages from off-farm employment were more than small farmer from underdeveloped villages.

For comparison purpose classification of the sampled respondents were made into three main occupational groups such as trade and commerce (business activities), daily paid labor and permanent employee.

Results in Table 4 clarify that in developed and underdeveloped villages almost (77.85%) small farmers were serving in various type of off-farm employment. Furthermore, in the research area majority (44.83%) was found to be daily paid labors followed by (37.07%) trade and commerce and (18.10%) permanent employee (government). The aforementioned results and facts had given a clear view that majority small farmers were performing off-farm employment for expanding their income sources. The above findings are supported by the results of Kuhnen (1989), Siphambe (2003), Bojnee and Dries (2005) and Zahid (2006). According to them the majority of daily paid among small farmers were more in the research area because of low level of education.

Table 5: Comparison of off-farm employment on the basis of developed and underdeveloped villages (Hours/Week).

Name of Villages Coefficients Std. Error t-ratio P-value

D1 (Dawood Zai)

23.05 1.96 11.76 .000***

D2 (Garhi Baghbanan)

6.35 1.28 4.96 .000***

D3 (Mado)

19.58 1.89 10.36 .000***

D4 (Mian Khan)

2.53 .62 4.08 .000***

D5 (Rajjar)

13.87 1.84 7.54 .000***
Constant 47.30 1.90 24.89 .000***

NS: Non Significant; ***Highly Significant R-squared: 0.453; Adjusted R-squared: 0.442; F-statistic: 64.766; P-value (F):.000; Note: Village Mufti Abad is a base category.

Results regarding developed and underdeveloped villages of sample farm households are presented in Table 5. As the F-statistic is highly significant so the model is overall significant. The value of t-ratio indicating that individually the results of each variable is significant and can be accepted at 95% confidence level. As p-values of the coefficients D1, D2, D3, D4, and D5 are quite low so the slop coefficients of the respective variables are statistically significant. Constant is the base category and show the overall off-farm employment (47.30 hours/week) of underdeveloped village Mufti Abad. Therefore, the comparison of developed and underdeveloped villages are made in relation to this category. Compared with this, the off-farm employment for those who are in developed village (Dawood Zai) of district Peshawar is higher by 23.05 hours/week, for an actual off farm employment 70.35 hours/week (= 47.30+23.05). While, the off-farm employment for those who are in underdeveloped village (Garhi Baghbanan) of district Peshawar is higher by 6.35 hours/week, for an actual off-farm employment of 53.65 hours/week (=47.30+6.35). Similarly, the off-farm employment for those who are in developed village (Mado) of district Mardan is higher by 19.58 hours/week, for an actual off-farm employment 66.88 hours/week (=47.30+19.58). On other hand, the off-farm employment for those who are in underdeveloped village (Mian Khan) of district Mardan is higher by 2.53 hours/week, for actual off-farm employment 49.83 hours/week (=47.30+2.53). In a similar manner, the off-farm employment for those who are in developed village (Rajjar) of district Charsadda is higher by 13.87 hours/week, for an actual off-farm employment of 61.17 hours/week (=47.30+13.87). Sampled respondents belonging to developed villages are performing more off-farm jobs as compared to underdeveloped villages. It may be because of easy accessibility to local markets and possibility of more off-farm jobs in developed villages as compared to underdeveloped villages such as govt.jobs, part time employment and small business activities. These results are consistent with the findings conducted by Vijay (2017), Babatunda (2017), Tahir (2008), Zahid (2006), and Monica (2003).

Conclusions and Recommendations

In Peshawar Valley agriculture is the major source of employment for farmers. Major portion of general population occupied with farming were illiterate or with level of education. As the holding size in Khyber Pakhtunkhwa is small so the off-farm employment is a common phenomenon in the agriculture sector. Furthermore, it was also observed that sample small farmers belonging to developed villages performed more off-farm employment than underdeveloped villages. It may be because of easy accessibility to local markets and possibility of more off-farm jobs in developed villages as compared to underdeveloped villages such as govt. jobs, part time employment and small business activities.

On the basis of the research study, following recommendations are suggested.

  1. 1. To increase and diversify small farm households’ income governments should create more off-farm employment opportunities (i.e. training for unskilled labor, cottage industries, credit facilities for starting small businesses etc.) in underdeveloped villages as well as in developed villages. It will not only help in reducing income inequality and poverty but also will work as an engine for economic growth.
  2. 2. Fragmented farmland and limited profitable investment opportunities has held back agriculture productivity growth of Pakistan for farmers. Therefore, land reform and increased research and extension efforts are needed for stimulating agricultural productivity growth in Pakistan.

 

Novelty Statement

Novel of this study is stagnant agricultural productivity and low returns to the farming in rural areas of Khyber Pakhtunkhwa have led them to look for alternative or supplemental income opportunities, primarily through off-farm employment.

Author’s Contribution

HA conceived the idea and wrote the manuscript as well as he also worked in modeling and analysis. This research work was supervised by MMS and co. supervised by HK. HH helped in data collection and manipulation of data.

References

Ali, H., M.M. Shafi and M. Siraj. 2014. Determinants of off-farm employment among small farm holders in rural areas of district Mardan. Sarhad J. Agric. 30(1): 145-150.

Babatunda, R.O., 2017. Determinants of participation in off-farm employment among small-holder farming households in Kwara State, Nigeria. J. Ext. Rural Dev. 6(2): 1-14.

Bezemer, D.J. and J. Davis. 2003. The rural non-farm economy in Romania. J. Agric. Econ. 53(3): 378-392. https://doi.org/10.2139/ssrn.695281

Bojnee, S. and L. Dries. 2005. Causes of changes in agricultural employment in Slovenia evidence from micro-data. J. Agric. Econ. 56(4): 399-416. https://doi.org/10.1111/j.1477-9552.2005.00020.x

Davis, J.R., 2003. The rural non-farm economy, livelihoods and their diversification: issues and options. Nat. Resour. Inst. Rep. No. 2753. https://doi.org/10.2139/ssrn.691821

Den, B., M. Van and G. E. Kumbi. 2006. Poverty and rural non-farm economy in Oromia Ethiopia. J. Agric. Econ. 35(3): 469-475.

Ellis, F., 2000. Determinants of rural livelihood diversification in developing countries. J. Agric. Econ. 51(2): 289-302. https://doi.org/10.1111/j.1477-9552.2000.tb01229.x

Giorgi, M. 2001. Rural non-farm economy in Georgia: A pilot research report, Natural Resources Institute Report No.2677 Research Project, 35(2): 110-121.

Haggablade, S., H. Peter and T. Reardon. 2002. Strategies for stimulating poverty-alleviating growth in the rural non-farm economy in developing countries. Issue 92. Environ. Prod. Tech. Dev. World Bank. Rural Dev. Dept. Discuss. Pap.

Hardaker, J.B. and M.F. Robzen. 2002. Making agricultural diversification work for the poor; the challenge for the Asia-Pacific region. UN-FAO CUREMIS workshop 30-31 May, 2002. University of Bangkok, Bangkok, Thailand.

Hazell, P., S. Haggablade and T. Reardon. 2002. The rural non-farm economy pathways, way out of poverty or pathway in Michigan State University USA.

Lanjouw, P. and A. Sharif. 2002. Rural non-farm employment in India, access income and poverty impact. Working paper No. 81, U. N. Dev. Prog., Nat. Counc. Appl. Econ. Res., India.

Lewis, W.A., 1954. Economic development with unlimited supplies of labor. Manchester Sch. Econ. Soc. Stud. 22 (4): 139-191. https://doi.org/10.1111/j.1467-9957.1954.tb00021.x

Islam, N., 1997. The off-farm sector and rural development: Food, agriculture and environment. Discussion paper No. 22, Int. Food Policy Res. Inst., Washington DC.

Janowski, M. and A. Bleahu. 2001. Factors affecting household level involvement in rural off-farm economic activities in two communities in Dolj and Brasov judete, Romania, Paper presented at the workshop “Rural off-farm employment and development in transition economies”, Univ. Greenwich, London.

Kimhi, A. and R. Eliel. 2004. Time allocation between farm and off-farm activities in Israeli farm households. Am. J. Agric. Econ. 86 (3): 716-721. https://doi.org/10.1111/j.0002-9092.2004.00613.x

Khan, D. 2007. An investigation into the underemployment in the agricultural sector of valley Peshawar, Ph.D. thesis, Dep. Agric. Econ. NWFP Agric. Univ. Peshawar, Pakistan.

Kuhnen, F., 1989. Rural household survival strategies in the third world. Inst. Rural Entwicklung, Univ. Gottingen, and Busgenweg 2, 3400 Gottingen, Ger. Fed. Repub., 23 (5): 33-41.

Mecharla, P.R., 2002. The determinants of rural off-farm employment in two villages of Andhra Pradesh, India. Working Paper No. 12, Poverty Res. Unit Sussex Univ. Sussex Falmer, Brighton, United Kingdom.

Ministry of Finance. 1998. Economic survey of Pakistan 1997-98. Finance and economic affairs division, ministry of finance, GoP, Islamabad, Pakistan.

Ministry of Finance. 2014. Economic survey of Pakistan 2013-14. Finance and economic affairs division, ministry of finance, GoP, Islamabad, Pakistan.

Monica, J., 2003. Rural off-farm livelihood activities in Romania, Georgia and Armenia: Synthesis of findings from fieldwork carried out at village level 2001—2002.

Man, N. and S.I. Sadiya. 2009. Off-farm employment participation among paddy farmers in theMuda Agricultural Development Authority and Kemasin Semerak Granary areas of Malaysia. J. Agric. Econ., 16(2): 34-42. https://doi.org/10.18356/be439b1f-en

Siphambe, H.K. 2003. Understanding unemployment in Botswana. S. Afr. J. Econ., 71(3): 200-230.

Thakur, S.C.P., A.K. Chaudhary and R.K.P. Singh 1993. Employment and labor productivity in developed and under-developed agricultural regions in Bihar. J. Manpow. 29 (2): 25-36.

Tahir, M., 2008. Factors determining off-farm employment amongst small farmers. S. J. Agric. 28(1): 13-20.

Vijay, M. and R.K. Gupta. 2017. Off-farm opportunities for small farm householder agriculture. Conf. New Dir. Smallholder Agric. 24-25 January 2014, Rome, IFAD HQ.

Zahid, M.A., 2006. Determinants of off-farm-income in the mixed cropping zone of Punjab, Pakistan, M.Sc. (Hons) thesis, Dep. Agric. Econ., Univ. Agric., Faisalabad, Pakistan. pp. 46-74.

Sarhad Journal of Agriculture

September

Vol.40, Iss. 3, Pages 680-1101

Featuring

Click here for more

Subscribe Today

Receive free updates on new articles, opportunities and benefits


Subscribe Unsubscribe