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Baba, S. H.
- Climate Change in Kashmir Valley: Is it Initiating Transformation of Mountain Agriculture?
Authors
1 Rajiv Gandhi Chair in Contemporary Studies on Livelihood and Food Security, SKUAST-K, Shalimar, Srinagar, 190025, IN
2 Division of Agri. Economics and Marketing, SKUAST-K, Shalimar, Srinagar, 190025, IN
Source
Indian Journal of Economics and Development, Vol 3, No 2 (2015), Pagination: 142-154Abstract
Background/Objectives: Climate change has profound impacts on Himalayas, non availability of both data and models to estimate its impacts was a major problem. Therefore, apart from key climate variables, farmer's perceptions in mitigating the climate change formed the major source of information and objective of the current study.
Methods/Statistical analysis: The study is based on both primary and secondary data collected from 270 respondents during 2013-14 and 2014-15 spread over north, central and south Kashmir which was further classified into low to mid (L-M) and mid to high (M-H) altitudes. Group discussions/interactions in each selected village between the farmers, scientists and experts from concerned departments formed an important part of the survey. Averages and percentages were worked out to analyse the data.
Results: The rise in temperature was prominent in first and last quarters of the year. This trend seemed to help the temperate mountain farming scenario owing to extended summers favouring increased cropping intensity and adopting advanced technological mix in the study area. This was supported by the introduction of paddy cultivation in southern elevations of Kulgam district, being only a dream a few years before. The annual averages revealed a considerable decrease in the day-1 rainfall (-19.44%) and average number of rainy days month-1 (-24.10%) during period-I over period-II. The variation in the magnitude in different quarters, revealed steeper decrease in winter season (Oct-Dec and Jan-Mar) compared to summer season (Apr-Sep). Important and unambiguous perceptions about climate change perceived by the farmers were increased temperature, long summers, short winters, less snowfall and highly uncertain weather conditions, which triggered since late 1990s. These perceptions are in conformity with the inferences drawn from dynamics of temperature and rainfall during last three decades (170 words).
Conclusion: The study concludes that climate change has initiated in this region which is supported by macroevidences, demanding a serious effort for its mitigation through awareness programmes designed as per farmer's perceptions for better pay-off in long run.
Keywords
Climate Change, Adaptation, Temperate Region, Farmer Perceptions.- D-S Gaps, Utilization Pattern and Impact of Institutional Credit to Agriculture in Jammu & Kashmir
Authors
1 Division of Agri. Economics and Marketing, Rajiv Gandhi Chair SKUAST-K, Shalimar, Srinagar, 190 025, IN
2 Rajiv Gandhi Chair SKUAST-K, Shalimar, Srinagar, 190 025, IN
Source
Indian Journal of Economics and Development, Vol 3, No 9 (2015), Pagination: 1-9Abstract
Background/Objectives: Resource poor conditions, marginalization of holdings and gradual commercialization of farming needs assessment of D-S scenario, utilization and impact of institutional credit on farm returns under agro-climatic diversities of Jammu and Kashmir.
Methods/Statistical analysis: A multi-stage stratified random sampling technique was used to draw a sample of 400 (200 borrowers+200 non-borrowers) respondents, representing each agro-climatic zone to collect primary data to estimate the short term credit requirements and capture the impact of agricultural credit on overall gross farm returns by employing regression analysis technique. Secondary data was also used to supplement the findings.
Results: Various institutional agencies involved in advancing agricultural credit have differential role across agro-climatic zones. Financial institutions advanced only 7.61 per cent of total credit requirement in the state which varied across zones. The productive credit utilization ranged between 65 per cent in IMZ and 98 per cent in SBTZ. The unproductive credit use was higher in IMZ (34.7%) followed by TMZ (24.2%) and CAZ (5.9%). The regression estimates for credit were positive and highly significant in all the agro-climatic zones except in IMZ where it was non-significant due to its higher miss-utilization. However, credit indirectly increased returns through capital formation and adoption of technology in all the zones. Educated farmers understood the possible benefits of scientific application in farming business, however, lacked wisdom for its productive utilization. Irrigation influenced returns positively, however, non-adoption of scientific recommendations was demonstrated by the negative coefficient of expenditure on variable costs across the zones.
Conclusion: Study highlighted huge D-S gaps in institutional credit to agriculture across different zone. Regression estimates revealed that extension of credit encouraged capital formation, adoption of technologies and increased farm returns.
Keywords
Agricultural Credit, Institutions, D-S Gaps, Farm Returns, Agro-Climatic Zones.- Human Resource Development, Agricultural Productivity and Household Income in Rural Jammu and Kashmir.
Authors
1 Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir Shalimar Campus, Srinagar, J&K, IN
2 Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir, IN
3 Department of School Education, Govt. J&K, IN
Source
International Journal of Education and Management Studies, Vol 8, No 2 (2018), Pagination: 315-322Abstract
This study investigated the quality and quantity of human resource development (HRD) and analyzed its impact on agricultural productivity and household income in rural areas of J and K. It was observed that there has been a differential endowment of land and water resources across different agro-climatic locations in the state. Chi-square estimates indicated significant difference across agro-climatic zones of the state with respect to the accumulation of quality and quantity of HRD. Moreover, the household income was higher in the zone which has maximum value for composite HRD index. The OLS estimates indicated an important role of human resources in determining agricultural productivity and farm household income. As evident from influence on R2 values in each model for all zones, HRD variables have more contribution in enhancement of agricultural productivity and rural income than capital and land though the role of quality of HRD was more significant. Based upon findings, the study put forth few policy suggestions for the sustained accumulation of human capital. Study suggests that inter-regional differences in socio-economic indicators need to be considered while framing HRD strategies so it could be location specific.Keywords
HRD, Agricultural Productivity, Rural Income, Mountains.References
- Adil, S.A., Ghafoor, A.M., & Nadeem {2005). Investigations into the human resource development status and its impact on farm output in rural areas of district Jhang Pakistan. Journal of'Agriculture andSocialSciences, 7(1), 10-13.
- Alexandratos, N. (1995). World agriculture towards 2010: An FAO study. FAO of UN and John Wiley and Son Chichester
- Baba S.H., Saini, A.S., Sharma, K.D., & Thakur, D.R. (2010). Impact of investment on agricultural growth andrural development in Himachal Pradesh: Dynamics of public and private investment. Indian JournalofAgriculturalEconomics, (55(1), 135-158.
- Baba, S.H., Wani, M.H., &Zargar, B.A. (2012). Study of rural credit and its impact on agricultural growth and sustainable livelihood in J&K. Final Technical Report of UGC sponsored major research project. Division of Agricultural Economics and Marketing, SKUAST-K, Shalimar Campus, Srinagar.
- Behrman, J.R. (1990). The action of human resources and poverty on one another. World Bank Washington DC.
- Bhutto, A.W., & Bazmi, A. A. (2007). Sustainable agriculture and eradication of rural poverty in Pakistan. Natural Resources Forum, 37(4), 253-262.
- Birkhaeuser, D., Evenson, RE., & Feder, G. (1991). The economic impact of agricultural extension: A review. Economic Development and Cultural Change, 39(3), 607-650.
- Chinn, D.L. (1979). Rural poverty and the structure of farm household income in developing countries: Evidence from Taiwan. Economic Development and Cultural Change, 27(2),2%3-30.
- Directorate of Economics & Statistics (DE&S) (2010). Economic survey of J&K 201011. Directorate of Economics and Statistics Government of Jammu and Kashmir.
- El Osta, H.S., & Morehart, MJ. (1999). Technology adoption decisions in dairy production and the role of herd expansion. Agricultural and Resource Economics Review, 25(1), 84-95.
- Faisal, A., Sarwar, M.N., Saboor, A., Udin, W, & Mehmood, S. (2005). Prospects of human resource development for mitigating rural poverty: An investigation in Jhang District of Punjab. Indus Journal of Biological Sciences, 2(3), 340-346.
- FAO, UNESCO, &lLO( 1984). Agricultural Extension: A reference manual. FAO.
- Griffin, R.K. (1976). On the emigration of the peasantry. World Development, 4(5), 353361.
- Goswami, S.B., & Sounda, G. (2009). Challenges in technology transfer in put supply and management in agriculture with reference to West Bengal. Indian Agriculturist, 53(3-4), 199-203.
- Hossain, M., & Sen, B. (1992). Rural poverty in Bangladesh: Trends and determinants. Asian Development Review, 10, 135.
- Hsieh, S.C. (2006). Agricultural human resource and institutional capacity building through international education with special regards to Taiwan experience. Crop EnvironmentandBioinformatics, 3(2), 97-114.
- Islam, M.N., Rashid, M.H., & Barakatullah, M. (1998). Correlates of adoption of green revolution technologies with selected characteristics of the farmers. Bangladesh Journal of Training and Development, 77(1-2), 109-114.
- Kalavathy, S., & Anithakumari, P. (1998). Extent of technology adoption in cowpea cultivation. Journal of 'Tropical Agriculture, 36(1-2), 97-99.
- Kalwe, S.P, Das, S., & Biswas, B. C. (2000). Strategies to improve agricultural productivity in subsidy free environment. Fertilizer News, 45(12), 97-108.
- Lipton, M., & Ravallion, M. (1995). Poverty and policy. In J.R. Behrman and T.N. Srinivasan (Eds.), Handbook of development economics (Vol. Ill, pp. 2551-2657). A North-HollandAmsterdam.
- Low, L. (1998). Human resource development in the Asia-Pacific. Asian Pacific Economic Literature, 72(1), 27-40.
- Mukhopadhyay, S. (1990). Rural poverty and inequality in post-reform China. ARTEP Working Papers International Labour Organisation, New Delhi: 1974.
- Mittal, S., & Kumar, P. (2000). Literacy technology adoption factor demand and productivity: An econometric analysis. Indian Journal of Agricultural Economics, 55(3), 490-499.
- Nee, V. (1989). A theory of market transition: From redistribution to markets in state socialism. American Sociological Review, 54(5), 663-681.
- Obia, G.C. (1998). Some misconceptions of agricultural production, population and land resources in Africa. Addressing misconceptions about Africa's development: Seeing beyond the veil. Department of Geology and Geography Eastern Illinois University of Charleston, Illinois USA. pp. 112-128.
- Ozcatalbas, O., & Akcaoz, H. (2010). Rural women and agricultural extension in Turkey. Journal of Food Agriculture andEnvironment, 8(1), 261-267.
- Radhakrishna, R (2002). Agricultural growth employment and poverty: A policy perspective. Economic and Political Weekly, 37(3), 243-250.
- Schultz, T.W. (1971). Investment in Human Capital. New York: The Free Press.
- Schultz, T.W. (1961). Investment in human capital. American Economic Review, 57(1). 1-17.
- Stark, O. (1978). Economic demographic interactions in agricultural development: The case of rural to urban migration. Technical Paper No. 6, FAO, Rome.
- Singh, K. (2000). Education technology adoption and agricultural productivity. Indian Journal of Agricultural Economics, 55(3), 473-489.
- Tajima, S. (1999). The state of agricultural education in selected Asian countries. Trends and perspectives in agricultural education in Asia Pacific, Report of the APO symposium on agricultural education system held in Tokyo Japan from 29 July to 5 August 1997, pp. 29-101.
- Ureta, B. (2002). Research extension and information: Key inputs in agricultural productivity growth. Pakistan Development Review, 47(4-1), 443-466.
- UNESCAP (1993). The Fourth Asian and Pacific Population Conference.United Nations, New York.
- United Nations Development Programme (1996). Human Development Report 1996. New York: Oxford University Press.
- Unni, J. (1998). Non-agricultural employment and poverty in rural India: A review of evidence. Economic andPolitical Weekly, 33(3),A36-A44.
- Vaswani, L.K. (2010). Role of human resource development in improving agriculture productivity. Indian Journal of 'Fertilizers, 6(A), 88-92.
- World Bank (1993). World Development Report 1993. New York: Oxford University Press.
- World Bank (1980). World Development Report 1980. The World Bank, Washington DC.
- Zhang, Y (1991). Characteristics causes and policies of rural poverty: A case study of baise prefecture in guanxi province. The Tribute of Economic Development, 5, 134 - 161.