Current Science

Open Access Open Access  Restricted Access Subscription Access

Assessing the Impact of Watershed Development on Energy Efficiency in Groundnut Production Using DEA Approach in the Semi-Arid Tropics of Southern India


Affiliations
1 ICAR-Indian Institute of Soil and Water Conservation, Research Centre, Bellary 583 104, India
2 ICAR-Indian Institute of Soil and Water Conservation, Dehradun 248 195, India
 

The present study is aimed at assessing the impact of watershed development on the energy efficiency in groundnut cultivation. Overall technical, pure technical and scale efficiency increased by 11, 3 and 12% over the pre-watershed scores due to watershed development. Estimated potential for saving input energy was 3608, 3223 and 2907 MJ ha-1 for marginal, small and large farmers respectively, in groundnut production while maintaining status quo for energy output. Farm size, age of farmer, number of livestock owned and implementation of watershed activities were identified as key determinants for higher overall energy efficiency.

Keywords

Data Envelopment Analysis, Energy Efficiency, Groundnut, Soil and Water Conservation.
User
Notifications
Font Size

  • Pimentel, D. et al., Achieving a secure energy future: environmental and economic issues. Ecol. Econ., 1994, 9(3), 201–219.

  • Tabatabaeefar, A., Emamzadeh, H., Varnamkhasti, M. G., Rahimizadeh, R. and Karimi, M., Comparison of energy of tillage systems in wheat production. Energy, 2009, 34(1), 41–45.

  • Dyer, J. A. and Desjardins, R. L., Carbon dioxide emissions associated with the manufacturing of tractors and farm machinery in Canada. Biosyst. Eng., 2006, 93(1), 107–118.

  • Rahman, S. and Rahman, M. S., Energy productivity and efficiency of maize accounting for the choice of growing season and environmental factors: an empirical analysis from Bangladesh. Energy, 2013, 49(1), 329–336.

  • Lal, R., Carbon emission from farm operations. Environ. Int., 2004, 30(7), 981–990.

  • Ozkan, B., Fert, C. and Karadeniz, C. F., Energy and cost analysis for greenhouse and open-field grape production. Energy, 2007, 32(8), 1500–1504.

  • Mulwa, R., Emrouznejad, A. and Muhammad, L., Economic efficiency of smallholder maize producers in western Kenya: a DEA meta-frontier analysis. Int. J. Oper. Res., 2009, 4(3), 250–267.

  • Nassiri, S. M. and Singh, S., Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique. Appl. Energy, 2009, 86(7), 1320–1325.

  • Mandal, K. G., Saha, K. P., Hati, K. M., Singh, V. V., Misra, A. K., Ghosh, P. K. and Bandyopadhyay, K. K., Cropping systems of central India: an energy and economic analysis. J. Sustain. Agric., 2005, 25(3), 117–140.

  • Singh, K. P., Prakash, V., Srinivas, K. and Srivastva, A. K., Effect of tillage management on energy-use efficiency and economics of soybean (Glycine max) based cropping systems under the rainfed conditions in North-West Himalayan Region. Soil Tillage Res., 2008, 100(1), 78–82.

  • Singh, H., Mishra, D. and Nahar, N. M., Energy use pattern in production agriculture of a typical village in arid zone, India – part I. Energy Convers. Manage., 2002, 43(16), 2275–2286.

  • Singh, H., Singh, A. K., Kushwaha, H. L. and Singh, A., Energy consumption pattern of wheat production in India. Energy, 2007, 32(10), 1848–1854.

  • Joshi, P. K., Jha, A. K., Wani, S. P., Joshi, L. and Shiyani, R. L., Meta-analysis to assess impact of watershed program and people’s participation. Research Report 8, International Water Management Institute (IWMI), Colombo, Sri Lanka, 2005.

  • MoA, Agricultural Statistics at a Glance 2012, Directorate of Economics and Statistics, Ministry of Agriculture, Government of India. 2012.

  • Mondal, B., Loganandhan, N. and Raizada, A., Meteorological drought and coping strategies by small and marginal farmers in semi-arid Karnataka. Indian J. Soil Conserv., 2014, 42(1), 54–61.

  • Devasenapathy, P., Senthilkumar, G. and Shanmugam, P. M., Energy management in crop production. Indian J. Agron., 2009, 54(1), 80–89.

  • Ghosh, P. K., Mohanty, M., Bandyopadhyay, K. K., Painuli, D. K. and Misra, A. K., Growth, competition, yield advantage and economics in soybean/pigeonpea intercropping system in semi-arid tropics of India: I. Effect of sub soiling. Field Crops Res., 2006, 96(1), 80–89.

  • Kitani, O., Jungbluth, T., Peart, R. M. and Ramdani, A., CIGR Handbook of Agricultural Engineering, Vol. V: Energy and Biomass Engineering, American Society of Agricultural Engineers, 1999.

  • Malana, N. M. and Malano, H. M., Benchmarking productive efficiency of selected wheat areas in Pakistan and India using data envelopment analysis. Irrig. Drain., 2006, 55(4), 383–394.

  • Charnes, A., Cooper, W. W. and Rhodes, E., Measuring the efficiency of decision making units. Eur. J. Oper. Res., 1978, 2(6), 429–444.

  • Farrell, M. J., The measurement of productive efficiency. J. R. Stat. Soc., Series A, 1957, 120, 253–290.

  • Angulo-Meza, L. and Lins, M. P. E., Review of methods for increasing discrimination in data envelopment analysis. Ann. Oper. Res., 2002, 116(1–4), 225–242.

  • Thanh Nguyen, T., Hoang, V. N. and Seo, B., Cost and environmental efficiency of rice farms in South Korea. Agric. Econ., 2012, 43(4), 369–378.

  • Heidari, M. D., Omid, M. and Mohammadi, A., Measuring productive efficiency of horticultural greenhouses in Iran: a data envelopment analysis approach. Expert Syst. Appl., 2012, 39(1), 1040–1045.

  • Coelli, T. J., Rao, D. S. P., O’Donnell, C. J. and Battese, G. E., An Introduction to Efficiency and Productivity Analysis, Springer, 2005.

  • Sarıca, K. and Or, I., Efficiency assessment of Turkish power plants using data envelopment analysis. Energy, 2007, 32(8), 1484–1499.

  • Thanassoulis, E., Introduction to the Theory and Application of Data Envelopment Analysis, Kluwer, Dordrecht, 2001.

  • Rockström, J. and Falkenmark, M., Semiarid crop production from a hydrological perspective: gap between potential and actual yields. Crit. Rev. Plant Sci., 2000, 19(4), 319–346.

  • Chauhan, N. S., Mohapatra, P. K. and Pandey, K. P., Improving energy productivity in paddy production through benchmarking – an application of data envelopment analysis. Energy Convers. Manage., 2006, 47(9), 1063–1085.

  • Singh, G., Singh, S. and Singh, J., Optimization of energy inputs for wheat crop in Punjab. Energy Convers. Manage., 2004, 45(3), 453–465.

  • Sidhu, H. S., Singh, S., Singh, T. and Ahuja, S. S., Optimization of energy usage in different crop production system. Agric. Eng., 2004, 85, 2071–1050.

  • Khoshnevisan, B., Rafiee, S., Omid, M. and Mousazadeh, H., Reduction of CO2 emission by improving energy use efficiency of greenhouse cucumber production using DEA approach. Energy, 2013, 55, 676–682.

  • Rahman, S. and Hasan, M. K., Energy productivity and efficiency of wheat farming in Bangladesh. Energy, 2014, 66, 107–114.

  • Mondal, B., Singh, A. and Jha, G. K., Impact of watershed development programmes on farm-specific technical efficiency: a Study in Bundelkhand Region of Madhya Pradesh. Agric. Econ. Res.

  • Rev., 2012, 25(2), 299–308.

  • Abdulai, A. and Eberlin, R., Technical efficiency during economic reform in Nicaragua: evidence from farm household survey data. Econ. Syst., 2001, 25(2), 113–125.


Abstract Views: 363

PDF Views: 136




  • Assessing the Impact of Watershed Development on Energy Efficiency in Groundnut Production Using DEA Approach in the Semi-Arid Tropics of Southern India

Abstract Views: 363  |  PDF Views: 136

Authors

Suresh Kumar
ICAR-Indian Institute of Soil and Water Conservation, Research Centre, Bellary 583 104, India
A. Raizada
ICAR-Indian Institute of Soil and Water Conservation, Research Centre, Bellary 583 104, India
H. Biswas
ICAR-Indian Institute of Soil and Water Conservation, Research Centre, Bellary 583 104, India
P. K. Mishra
ICAR-Indian Institute of Soil and Water Conservation, Dehradun 248 195, India

Abstract


The present study is aimed at assessing the impact of watershed development on the energy efficiency in groundnut cultivation. Overall technical, pure technical and scale efficiency increased by 11, 3 and 12% over the pre-watershed scores due to watershed development. Estimated potential for saving input energy was 3608, 3223 and 2907 MJ ha-1 for marginal, small and large farmers respectively, in groundnut production while maintaining status quo for energy output. Farm size, age of farmer, number of livestock owned and implementation of watershed activities were identified as key determinants for higher overall energy efficiency.

Keywords


Data Envelopment Analysis, Energy Efficiency, Groundnut, Soil and Water Conservation.

References





DOI: https://doi.org/10.18520/cs%2Fv109%2Fi10%2F1831-1837