Dimensions of Socio-Economic Development in Jammu & Kashmir*

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J. Inti. Soc. Agri/. Statist. 59(3), 2005 : 243-250 Dimensions of Socio-Economic in Jammu & Kashmir* Prem Narain, S.D. Sharma, S.C. Rai and V.K. Bhatia Indian Society ofagricultural Statistics, New Delhi SUMMARY The level ofdevelopment ofdifferent districts ofjammu & Kashmir was obtained with the help of composite index based on optimum combination of twenty nine developmental indicators. The district-wise data on these indicators for the year 2001-02 were used for obtaining the level of development ofall the fourteen districts ofthe State. The level ofdevelopment was estimated separately for agricultural sector, infrastructural facilities and overall socio-economic sector. The district of Kathua was ranked first and the district ofkargil was ranked last in the socio-economic development. Wide disparities were observed in the level of development between different districts of the State. Infrastructural facilities and literacy status ofthe people were found to be positively associated with the socio-economic development. For bringing out uniform regional development, potential targets of various developmental indicators have been estimated in respect of low developed districts. These districts require improvement of various dimensions in some of the indicators for enhancing the level of development. Key-words: Composite index, Socio-economic development, al indicators, Model districts, Potential target. 1. INTRODUCTION exist wide disparities in the levels of development in different regions. Social development, by definition, is has been appropriately not a predetermined state but it is a continuous process conceptualized as a process which improves the quality of improvement of level of living. It implies the of life. al programmes are undertaken in availability to maximum number ofpeople ofgoods and the country in a planned way through various Five Year services in an adequate measure, the existence of an Plans with the main objective of enhancing the quality agricultural, technological infrastructure which produces oflife ofgeneral masses by providing basic necessities these goods and services and the existence of human as well as effecting improvement of their social and related services ofeducation and health which provides economic well-being. The green revolution in the trained manpower and also protect its health. agricultural sector and the commendable progress on industrial front have increased the total crop production For focusing the attention of planners, policy and manufactured goods, but there is no indication makers, scientists and administrators towards the levels that these achievements have been able to reduce ofdisparities in socio-economic development ofvarious substantially the inequality in regional development. In states in the country, a seminar was organizedjointly by a large sized federal country like India, there is likely to Planning Commission, Government of India and State Planning Institute, Government ofuttar Pradesh during *The study was undertaken in the Research Unit ofthe Indian 1982. Realizing the seriousness and importance ofthe Society ofagricultural Statistics during 2005. The datafor problems of estimation of level of development, the the study have been obtained from the publication of Indian Society of Agricultural Statistics conducted a Directorate of Economics & Statistics, Planning and series ofresearch studies in this direction. The data on Department, Government of Jammu & socio-economic variables of major 17 states of the Kashmir. country had been analyzed for the year 1971-72 and

244 JOURNAL OF THE INDIAN SOCIETY OF AGRICULTURAL STATISTICS 1981-82 (1991) and wide disparities in the level of development were observed between different states. It was, therefore, felt necessary to make a deeper analysis for evaluating the level of development by analyzing the data on socio-economic variables at district level. Studies for estimating the level of development at district level had so far been made for the states oforissa (1992, 1993), Andhra Pradesh (1994), Kerala (1994, 2005), Uttar Pradesh (1995,2001), Maharashtra (1996), Karnataka (1997, 2003), Tamil Nadu (2000), States of Southern region (1999), Madhya Pradesh (2003), Assam (2004) and Hilly states (2004). It was found that the entire part of the low developed districts is not low developed but some parts are high or middle level developed. This year, the study is conducted for evaluating the status of development at district level separately for agricultural sector, infrastructural facilities and overall socio-economic sector in the state ofjammu & Kashmir by analyzing the data on economic variables for the year 2001-02. It would be ofinterest to estimate the status of development at district level, since there has been growing consensus about the need of district level planning in the country. Knowledge of level of development at district level will help in identifying where a given district stands in relation to others. The study throws light on the association of development between agricultural sector, infrastructural facilities and overall socio-economic sector. The improvements in different indicators required for enhancing the level of development of low developed districts are also suggested. The State ofjammu & Kashmir is situated in northwestern part ofthe country. The boundaries ofthe State are Russian Turkistan in north, Tibet in east, Punjab in south and Pakistan in west. Geographically the State can be divided into four zones. First, the sub-montane and semi montane plain commonly known as Kandi belt, the second, hills including Siwalik range, the third, mountains ofkashmir valley and Punjab range and the fourth, Tibetan track of Laddakh, Kargil, Gilgit and Skardu. About 75 per cent people of the State depend on agriculture. Paddy, wheat and maize are the major food crops ofthe State. About 15 per cent ofthe area of the State is covered by forest. According to 2001 population census, the population of the State is more than one crore. Literacy rate in the State is about 54.5 per cent as against 65.4 per cent at all India level. Handicrafts being the traditional industry of the State, has been receiving top priority in view of its large employment potential and also demand of handicraft goods both within and outside the country. 2. DEVELOPMENTAL INDICATORS is a multi-dimensional process and its impact can not be fully captured by any single indicator. A number of indicators when analyzed individually, do not provide an integrated and easily comprehensible picture ofreality. Hence, there is a need for building up of a composite index of development based on optimum combination of various developmental indicators. Each district faces situational factors of development unique to it as well as common administrative and financial factors. Indicators common to all the districts have been included in the analysis for evaluating the level ofdevelopment. Composite indices ofdevelopment have been obtained for different districts by using the data on the following developmental indicators. 1. Area under forest 2. Cultivators as percentage oftotal workers 3. Agricultural labourers as percentage of total workers 4. Cultivable area as percentage ofreported area 5. Cultivable area per cultivator 6. Gross area sown 7. Gross area irrigated as percentage ofgross area sown 8. Net area sown 9. Net area irrigated as percentage ofnet area sown 10. Double cropped area. as percentage ofnet area sown 11. Area under total food crops 12. Area under commercial crops as percentage of gross area sown 13. Area under fruits & vegetables as percentage of gross area sown 14. Culturable waste land per cultivator 15. Average holding size

DIMENSIONS OF SOCIO-ECONOMIC DEVELOPMENTIN JAMMU & KASHMIR 245 16. Average livestock per household 17. Cattlelbuffaloes per '000 ha. ofcultivable area 18. Percentage of workers engaged in household industries 19. Number ofsmall scale industrial units per lakh of population 20. Density ofpopulation per sq. km. area 21. Percentage of urban population 22. Decadal growth rate ofpopulation (1991-2001) 23. Average bank advances as percentage of deposits 24. % ofvillages electrified 25. Road length per 100 sq. km. area 26. Number ofworkers per lakh ofpopulation 27. Literacy rate 28. Average population per medical institution 29. Average population covered per post office A total of twenty nine developmental indicators have been included in the analysis. These indicators may not form an all inclusive list but these are the major interacting components ofdevelopment. Out oftwenty nine indicators, seventeen indicators are directly concerned with the development in agricultural sector and the rest twelve indicators describe the availability ofinfrastructural and social facilities in the district. 3. ESTIMATION OF LEVEL OF DEVELOPMENTAND FIXATION OF POTENTIALTARGETS Variables in respect of developmental indicators come from different population distributions and they may be recorded in different levels of measurements. Hence, the values ofthese indicators are not quite suitable for simple addition in the combined analysis. For obtaining the composite index ofdevelopment, the values ofthe indicators are transformed by subtracting the mean from the individual observations and dividing it by the standard deviation. The best value of the transformed variables for each indicator (with maximum/minimum value depending upon the direction of the impact of indicator on development) is identified and the squares of the deviations of the transformed variable from the best value are obtained. The inverse of the coefficient of variation is used as weight for obtaining the pattern of development. The statistical technique given by Narain etal (1991). is applied to construct the composite index of development for different districts. The composite indices have been calculated separately for agricultural sector, infrastructural facilities and overall socio-economic sector. The values of the composite indices are non-negative and their smaller values indicate high level ofdevelopment and larger values indicate low level of development. The developmental distances based on all the indicators have been obtained for each pair ofdistricts and the best value ofdifferent indicators is taken as potential target for low developed districts. 4. RESULTS AND DISCUSSION 4.1 The Level of The composite indices of development have been worked out for different districts in respect ofagricultural sector, infrastructural facilities and overall socioeconomic sector. The districts have been ranked on the basis of composite indices. The values of composite indices along with the rank ofthe districts are given in Table 1. It may be seen from Table 1 that in case of agricultural development, the district of Kathua was ranked first and the district ofsrinagar was ranked last. Here, it may be pointed out that only 20 per cent people ofthe district ofsrinagar live in rural areas and depend on agriculture. The composite indices varied from 0.72 to 0.95. Infrastructural facilities playa very important role in enhancing the level ofdevelopment in the State. With respect to these facilities, the district of Kathua was ranked first and the district of Kargil was ranked last. The composite indices varied from 0.37 to 0.86. In overall socio-economic development, the district of Kathua was placed on the first position and the district of Kargil occupied the last position. The composite indices varied from 0.55 to 0.89.

246 JOURNAL OF THE INDIAN SOCIETY OF AGRICULTURAL STATISTICS Table 1. Composite index (CI) and rank of districts S. No. District Agricultural Infrastructural Socio-economic C.I. Rank C.I. Rank C.I. Rank 1. Jammu 0.72 2 0.44 2 0.59 2 2. Srinagar 0.95 14 0.46 3 0.72 7 3. Anantnag 0.76 4 0.64 10 0.73 8 4. Baramulla 0.77 5 0.64 9 0.73 9 5. Udhampur 0.73 3 0.55 4 0.66 3 6. Doda 0.77 7 0.68 12 0.76 10 7. Pulwama 0.77 6 0.56 6 0.68 4 8. Kupwara 0.84 12 0.81 13 0.87 13 9. Budgam 0.81 9 0.65 11 0.76 11 10. Kathua 0.72 1 0.37 1 0.55 1 11. Rajouri 0.81 10 0.57 7 0.71 5 12. Poonch 0.84 11 0:56 5 0.71 6 13. Leh 0.90 13 0.61 8 0.77 12 14. Kargil 0.79 8 0.86 14 0.89 14 4.2 DitTerent Stages of For relative comparison ofdistricts with respect to level of development, it appears quite appropriate to assume that the districts having composite indices less than or equal toamean - SD) are high level developed. These districts may be classified in category I of developed districts. Districts having composite indices greater than (Mean + SD) are low developed districts. These districts might be classified as low level developed and put in category IV in the State. In the same way, the districts having composite indices between (Mean) and (Mean - SD) are high middle level developed and put in category II ofdistricts in the State and the districts having composite indices between (Mean) and (Mean + SD) are low middle level developed districts. These districts are put in category III in the State. On the basis ofabove classification, the districts are put in four stages of development as high, high middle, low middle and low. Table 2 presents the name ofthe districts along with the percentage population in different stages ofdevelopment. It may be seen that in case of agricultural development, three districts are found to be highly developed. About 28 per cent population of the State,., belongs to these districts. Five districts covering the population of about 38 per cent are high middle level developed. Four districts are low middle level developed. These districts cover the population ofabout 21 per cent. Two districts are observed to be low level developed. The population covered by these districts is about 13 per cent. With respect to infrastructural facilities, three districts having the population of about 33 per cent are found to be better developed in comparison to other districts. Four districts with the population ofabout 22 per cent are found to be highly middle level developed. Five districts are observed to be low middle level developed. These districts cover the population ofabout

DIMENSIONS OF SOCIO-ECONOMIC DEVELOPMENT IN JAMMU & KASHMIR 247 Table 2. Population under different stages ofdevelopment Stage of High High Middle Low Middle Low District AGRICULTURAL DEVELOPMENT Jammu. Udhampur, Kathua Anantnag, BaramuIIa, Doda, Pulwama, Kargil Kupwara, Poonch, Budgam, Rajouri Srinagar, Leh Population (%) 28 38 21 13 High High Middle Low Middle Low High High Middle Low Middle Low ~RASTRUCTURALDEVELOPMENT Jammu, Srinagar, Kathua Udhampur, Pulwama, Rajouri, Poonch Anantnag, BaramuIIa, Doda, Budgam, Leh Kupwara, Kargil SOCIO-ECONOMIC DEVELOPMENT Jammu, Kathua Srinagar, Udhampur, Pulwama, Rajouri, Poonch Anantnag, BaramuIIa, Doda, Budgam, Leh Kupwara, Kargil 33 22 37 08 21 34 38 07 37 per cent. Two districts having the population ofabout 4.3 Inter-relationship among Different Sectors of 8 per cent are low level developed. Economy In overall socio-economic field, two districts having For proper development, it is essential that all the the population ofabout 21 per cent are found to be better sectors ofeconomy should flourish together. System of developed. Five districts are high middle level education envisages all round development ofmanpower developed. These districts coverthe population ofabout and human resources required for socio-economic 34 per cent. Five districts having the population ofabout activities. A large population below an acceptable 38 per cent are found to be low middle level developed. economic level poses serious problems and characterizes Two districts are observed to be low level developed. its economy. The association between the level of These districts cover about 7 per cent population ofthe development ofdifferent sectors ofeconomy and literacy State. level is worked out and presented in Table 3. Factors Agricultural Infrastructural Socio-economic Literacy Level CorrelatIon IS slgmficant at the 0.05 level. Correlation is significant at the 0.01 level. Agricultural Table 3. Correlation coefficients Infrastructural \.00 0.12 \.00 Socio-economic 0.45 0.94** \.00 Literacy Level -0.08-0.58* -0.53* \.00

248 JOURNAL OF THE INDIAN SOCIETY OF AGRICULTURAL STATISTICS It may be seen from the above table that agricultural development is not significantly associated with infrastructural facilities but infrastructural facilities are having very high significant positive association with socio-economic development. The level of literacy in the State is also influenced by the infrastructural facilities. The literacy rate is having significant association with the socio-economic development. Levels of development in agricultural sector are not found to be associated with the socio-economic development and literacy level ofthe people. This fact may be verified by studying the status of development at a smaller level in the State. 4.4 Potential Targets of al Indicators for Low Developed Districts It is observed that there are wide disparities in the level of development of different districts. It would be quite useful to examine the extent of improvement required in developmental indicators for enhancing the level of development of low developed districts. This infonnation wfll help the planners and administrators to readjust the resources for bringing out unifonn regional development. Two districts namely Kupwara and Kargil are found to be low developed in overall socio-economic field. These districts cover about 7 per cent population of the State. The best value of the developmental indicators is taken as potential target ofthe low developed districts. The present values of the developmental indicators along with the potential target for the low developed districts are given in Table 4. It may be seen that the potential targets ofmost of the indicators are quite high. Suitable action is requ~d to be taken to achieve the potential target and enhance the level of development. Specific recommendations for each ofthe low developed districts are given below. 1. Kupwara : This district is low developed in infrastructural facilities and socio-economic sector. The district is observed to be in low middle category in respect ofagricultural development. Improvements are required to be made in road transport and medical facilities in the district. Literacy level of the people of the district is very poor. Only 41 per cent people are literate whereas the literacy rate at the State level is about Table 4 : Value of developmental indicators and potential target of low developed districts S.No. all Indicators Low Developed Districts Potential Kupwara Kargil Target 1. Cultivable area as percentage ofreported area 67.00 47.00 73.00 2. Cultivable area per cultivator 0.52 0.35 1.04 3. Net area irrigated (%) 40.00 99.00 99.00 4. Double cropped area as percentage ofnet area sown 2.00 0.80 98.00 5. Area under commercial crops (%) 18.00 0.10 46.00 6. Area under fruits and vegetables (%) 19.00 2.00 22.00 7. Cultivable wasteland per cultivator 0.05 0.14 0.02 8. Average holding size 0.55 0.78 1.19 9. Percentage ofworkers engaged in household industries 4.06 1.89 21.88 10. Number of SSI units per lakh population 212 446 784 11. Decadal growth rate ofpopulation 39 31 24 12. Villages electrified (%) 94 81 100 13. Road length per 100 sq. km. area (km.) 36 5 91 14. Number ofworkers per lakh population 3550 6255 9772 15. Literacy rate 41 58 77

DIMENSIONS OF SOCIO-ECONOMIC DEVELOPMENTINJAMMU & KASHMIR 249 54 per cent. Steps should be taken to enhance the level ofliteracy in the district. In agricultural sector, irrigation facilities in the district require immediate improvement. Facilities should also be created to enhance the small scale industrial units in the district. 2. KargU :This district is low developed in infrastructural facilities and overall socio-economic field. This is high middle level developed in agricultural sector. The district has low order transport, education and medical facilities. Steps should be taken to popularize the small scale industrial units in the district. Literacy level needs improvement. It should be enhanced by encouraging the educational activities in the district. al programmes suitable for hilly areas should be undertaken in the district. The present transport and medical facilities require improvement in the district. 5. CONCLUSIONS The broad conclusions emerging from the study are as follows: 1. With respect to socio-economic development, the districts ofjammu and Kathua are found to be better developed in comparison to other districts of the State. The districts of Kupwara and Kargil are low developed. Special care should be taken for implementing the developmental programmes in these districts. 11. Three districts namely Jammu, Udhampur, and Kathua are better developed in agricultural sector. The districts of Srinagar and Leh are found to be low developed in agricultural field. More than 75 percent people ofsrinagar district come from urban areas and they are not much affected by agricultural development. Most of the area of district Leh is covered by hills and forest. 111. Infrastructural facilities in respect of road transport, medical, educational and communication etc. are better in the districts of Jammu, Srinagar and Kathua. These facilities are poor in the districts ofkupwara and Kargil. IV. Infrastructural facilities are highly associated with socio-economic development. These facilities are also found to be positively influencing the literacy level. Literacy status ofthe people has a positive association with the socio-economic development. Agricultural development is not found to be associated with socio-economic development. Literacy level of the people and other infrastructural facilities are not influencing the level of development in agricultural sector. These points should be verified by studying the status of development at a smaller level (say tehsil or block) in the State. v. Entire parts of the low developed districts are not low developed but some parts are high middle or low middle level developed. vi. Wide disparities in the level of development have been observed between different districts. V11. For enhancing the level ofdevelopment oflow developed districts, potential targets of developmental indicators have been obtained. The low developed districts require improvement of various dimensions in the developmental indicators. ACKNOWLEDGEMENTS The authors are grateful to Shri Tariq Ahmad Raja, Assistant Professor (Statistics), Sher-e-Kashmir University of Agricultural Sciences & Technology-Kashmir, Srinagar in procuring the statistical data for the study. REFERENCES Narain, P., Rai, S.C. and Shanti Sarup (1991). Statistical evaluation of development on socio-economic front. J. Ind. Soc. Agri/. Statist., 43, 329-345. Narain, P., Rai, S.C. and Shanti Sarup (1992). Evaluation of economic development in India. Souvenir of 11 th Economic Conference in "Complementarily of Agriculture and Industry in ". Instt. Trade & Industrial, New Delhi, 67-77. Narain, P., Rai, S.C. and Shanti Sarup, 1992. Classification of districts based on Socio-economic in Orissa. Yojana, 36, No. 23, 9-12. Narain, P., Rai, S.C. and Shanti Sarup (1993). Evaluation of economic development in Orissa. J. Ind. Soc. Agril. Statist., 45, 249-278. Narain, P., Rai, S.C. and Shanti Sarup (1994). Regional dimensions of socio-economic development in Andhra Pradesh. J. Ind. Soc. Agri/. Statist., 46, 156-165.

250 JOURNAL OF THE INDIAN SOCIETY OF AGRICULTURAL STATISTICS Narain, P., Rai, S.C. and Shanti Sarup (1994). Inter-districts disparities in socio-economic development in Kerala. J. Ind. Soc. Agril. Statist., 46, 362-377. Narain, P., Rai, S.C. and Shanti Sarup (1995). Regional disparities in the levels ofdevelopment in Uttar Pradesh. J.Ind. Soc. Agril. Statist., 47, 288-304. Narain, P., Rai, S.C. and Shanti Sarup (1996). Dynamics of socio-economic development in Maharashtra. J. Ind. Soc. Agril. Statist., 48, 360-372. Narain, P., Rai, S.C. and Bhatia, V.K. (1997). Regional pattern ofsocio-economic development in Kamataka. J.Ind. Soc. Agri/. Statist., SO, 380-391. Narain, P., Rai, S.C. and Bhatia, V.K. (1999). Inter-district variation ofdevelopment in southern region. J. Ind. Soc. Agril. Statist., 52, 106-120. Narain, P., Sharma, S.D., Rai, S.C. and Bhatia, V.K. (2000). Regional disparities in socio-economic development in Tamil Nadu. J. Ind. Soc. Agri/. Statist., 53, 35-46. Narain, P., Sharma, S.D., Rai, S.C. and Bhatia, V.K. (2001). Regional dimensions of disparities in crop productivity in Uttar Pradesh. J. Ind. Soc. Agril. Statist., 54, 62-79. Narain, P., Sharma, S.D., Rai, S.C. and Bhatia, V.K. (2002). Dimensions of regional disparities in socio-economic development in Madhya Pradesh. J. Ind. Soc. Agril. Statist., 55, 88-107. Narain, P., Sharma, S.D., Rai, S.C. and Bhatia, V.K. (2003). Evaluation of economic development at micro level in Karnataka. J.Ind. Soc. Agri/. Statist., 56, 52-63. Narain, P., Sharma, S.D., Rai, S.C. and Bhatia, V.K. (2004). Estimation ofsocio-economic development in hilly states. J.Ind. Soc. Agril. Statist., 58, 126-135. Narain, P., Sharma, S.D., Rai, S.C. and Bhatia, V.K. 2005. Estimation ofsocio-economic development ofdifferent Districts in Kerala. J. Ind. Soc. Agril. Statist., 59, 48-55. Rai, S.C. and Bhatia, V.K. (2004). Dimensions of regional disparities in socio-economic development ofassam. J. Ind. Soc. Agri/. Statist., 57 (Special Volume), 178-190. Regional Dimensions of India's Economic. Proceedings of Seminar held on April 22-24, 1982 sponsored by Planning Commission, Govt. of India and State Planning Institute, Govt. ofu.p. Indicators of Regional (2001-02) - DES/Indl 1512003; Directorate ofeconomics & Statistics, Planning & Department, Government ofjammu & Kashmir. Digest ofstatistics (2002-03). [DOS (28) 03], Directorate of Economics & Statistics, Planning & Department, Government ofjammu & Kashmir.