Supply Response of Cereal Crop Farmers to Price and Non-Price Factors in Rajasthan State of India

Size: px
Start display at page:

Download "Supply Response of Cereal Crop Farmers to Price and Non-Price Factors in Rajasthan State of India"

Transcription

1 Journal of Agricultural Economics and Rural Development Vol. 3(2), pp , August, ISSN: XXXX-XXXX AJAERD Review Article Supply Response of Cereal Crop Farmers to Price and Non-Price Factors in Rajasthan State of India Sadiq MS 1,2*, Singh IP 2, Karunakaran N 3 1 Department of Agricultural Economics and Extension Technology, FUT, Minna, Nigeria 2 Department of Agricultural Economics, SKRAU, Bikaner, India 3 Department of Economics, EKNM Government College Elerithattu, Kerela, India The present study investigated cereal crop farmers acreage response to price and non-price factors in Rajasthan State of India using time series data spanning from 1981 to The cereal crops considered for the study were jowar, maize, bajra, wheat and barley. Furthermore, the Nerlovian model was used for data synthesis. From the results, it was observed that farmers in the state were not price responsive except for maize. The growers of these crops considered the lagged area and lagged price of competing crops to be the major factors for area allocation decision. The lagged price and lagged yield emerged as an important factor in deciding area allocation to maize and barley crops Therefore, findings showed that farmers decision on cereal crops acreage allocation were governed by both price and non-price factors. Hence price incentive alone was not sufficient in bringing desirable change in cropping pattern as well as the production of these crops. Therefore, the creation of other infrastructural facilities like irrigation is important to increase acreage and production with stability in the studied area. Keywords: Acreage; response; Nerlovian model; cereal crops; Rajasthan state; India INTRODUCTION A disquieting feature of Indian agricultural economy is the uncertain trend in the movement of prices of agricultural products. In a developing country like India where the emphasis is being laid on planned development of the economy, the role of price mechanism cannot be undermined in effecting desired changes in production. Supply response function is based on generally accepted notion that current experience relating to the past decisions influences decisions. Farmers are rational in allocating the land to a particular crop, hence, it is important to identify and examine important price and nonprice factors which affect this rational decision. Nerlove (1958) as cited by Maddala and Lahiri (2009) and Subba et al. (2016) developed two distributed lag models, and estimated the supply elasticity of corn, cotton and wheat in U.S.A. In the distributed lag model based on price expectations, he assumed past price experience influences formation of expected price, which in turn, influenced acreage allocation decision. Since then, the Nerlovian lagged adjustment model has been used by researchers for analysis, for example, Subba et al. (2016); Abujam et al. (2015), because Nerlove introduced the element of dynamism by incorporating the concept of distributed lag in the analysis of crop acreage response. Another advantage for the choice of this particular model is that it facilitates separate estimation of the long-run and short-run elasticities. Following this suite, this research aimed at investigating empirically factors beyond price that influence farmers acreage response in Rajasthan State of India. * Corresponding author: Sadiq MS, Department of Agricultural Economics and Extension Technology, FUT, Minna, Nigeria. Department of Agricultural Economics, SKRAU, Bikaner, India. sadiqsanusi30@gmail.com; Tel:

2 Sadiq et al. 231 RESEARCH METHODOLOGY The study made use of time series data spanning from , covering the area, production, productivity, farm harvest prices and wholesale prices of selected crops. The criteria used for the identification of major cereal crops was that the crop should have an average area of at least 2-3 lakh hectares during the last five years, while district which accounts for 50 percent share in the gross area under a particular crop in Rajasthan was chosen. Data sources were the statistical abstract of Rajasthan State, Directorate of Economics and Statistics, AGMARKNET etc. Nerlovian model was used for data analysis. Table 1: Selected districts for each crop Crops Jowar Maize Bajra Wheat Barley Districts Nagaur and Tonk Chittore and Udaipur Nagaur, Churu and Sri-Ganganagar Jaipur, Alwar and Sri-Ganganagar Jaipur, Alwar and Sri-Ganganagar Empirical model specification The basic model which has come to be called as Nerlovian price expectation model is as follows: At = α + βip*t + U. (1) (Pt* - P*t-1) = β(pt-1 P*t-1) 0<β<1 (2) Where; At = Actual acreage under the crop in year t P*t = expected price of the crop in year t P*t-1 = expected price of the crop in year t-1 Pt-1 = actual price of the crop in year t-1 Ut = Stochastic term β= the coefficient of price expectation, and; α and β are parameters to be estimated. The hypothesis described through equation (2) is price expectation hypothesis. The expression on the left-hand side of this equation is the revision in price expectation from year to year. On the right-hand side, the expression is the error made by the farmers in predicting the price during t-1. The coefficient of price expectation (β) indicates that only a fraction of last year s error in price prediction is translated into revision in expected price during the current year. Nerlovian model depicting farmer s behavior in its simplest form is given below: At* = β0 + β1pt-1 + β2yt-1 + β3rf_irr + β4yrt + β5prt + β6cyt-1 + β7cpt-1 + DD + Ut (3) At-At-1 =B (At*-At-1) (Nerlovian adjustment equation) (4) As expected variables are not observable, for estimation purpose, a reduced form containing only observable variables may be written after substituting the value of At* from equation (4) into equation (3), as follows: At = β0 + β1pt-1 + β2yt-1 + β3rf_irr + β4yrt + β5prt + β6cyt-1 + β7cpt-1+ β8at-1 + DD + Ut.. (5) The step-up/ backward regression technique was used, as this technique allows the variable explaining maximum variability in the dependent variable to enter first in order of their explanatory power. The first equation is a behavioral equation, stating that desired acreage (At*) depend upon following independent variables. Where, At = current year under study crop; Pt-1 = one year lagged price of study crop; Yt-1= one lagged yield of study crop; RF_IRR = seasonal rainfall and/ or irrigated area under study crop; YRt = yield risk of study crop measured by standard deviation of three preceding years; PRt = price risk of studied crop measured by standard deviation of three preceding years; CYt-1= lagged yield of competing crop; CPt-1 = lagged price of competing crop; At-1 = lagged area of study crop; DD = District Dummy; β0 = intercept; β1-n = parameter coefficients; and, Ut = stochastic term. The extent of adjustment to changes in the price and/or non-price factors is measured in terms of coefficient of adjustment. The adjustment takes place in accordance with the actual planted area in the preceding year. If the coefficient of adjustment is one, farmers fully adjust area under the crop in the current year itself and there were no lags in adjustment. But if the coefficient of adjustment is less than one, the adjustment goes on and gives rise to the lags, which are distributed over time. The number of years required for 95 percent of the effect of the price to materialize is given as follows: (1-r) n = 0.05 Where; r = coefficient of adjustment (1-coefficient of lagged area); and, n = number of year. The proportionate change in area under the crop (At) with respect to a proportionate change in any of the factors which cause variation in At is called elasticity of At with respect to that variables. In the present study, both short run (SRE) and long run (LRE) elasticities of the area under the crop with respect to price were estimated to examine

3 J. Agric. Econ. Rural Devel. 232 and compare the effect of price on the responsiveness of area in the short-run as well as in the long-run. The price elasticities for linear regression model are given below: Short-run elasticity (SRE) = Price coefficient X Long-run elasticity (LRE) = RESULTS AND DISCUSSION SRE of adjustment Mean of price Mean of area This part empirically investigated the supply response of farmers with the motive to tentatively study the relevance of policy in the process of decision making by the farmers. Two folds exist in which a farmer s supply response can manifest itself: either to make adjustments in crop cultivated acreage, or vary the pattern of input use and try to adjust the output of crop to market conditions. Farmers allocate land to different crops depending on expected revenue from different crops: assume input costs are the same or move uniformly overtime for different crops, expected revenue would depend on expected prices and expected yields. If yield levels remain constant overtime due to inadequate significant technological changes, output response equals the acreage response. The acreage response functions using Nerlovian adjustment lag model were fitted through step-wise regression technique, in order to allow the variable explaining maximum variability in explained variable to enter first in order of their explanatory power. The regression results with respect to the cereal crops studied are presented below: Jowar (Sorghum) crop The R 2 of acreage under Jowar was 0.67, implying that 67 percent of the variation in acreage under Jowar was explained jointly by the explanatory variables included in the model (Table 2). In the allocation of acreage for Jowar crop, the significant influencing factors were lagged area under Jowar and lagged yield of competing crop. Current area under Jowar was positively influenced by lagged area of the crop which is statistically significant at 1 percent probability level. The estimated adjustment coefficient (0.44) was moderate, indicating moderate adjustment of the area under jowar crop by the farmers. The coefficient of lagged yield of competing crop (maize) was negative and statistically significant at 5 percent probability level, meaning acreage under Jowar cultivation decreased over the years mainly due to better yield performance of competing crops. As the productivity of competing crop (Maize) increased, acreage under Jowar cultivation decreased significantly. However, the dummy variable for districts indicated that there were some un-measureable attributes in Nagaur and Tonk districts which steered area allocation to Jowar crop. Table 2: Acreage response function of Jowar crop Intercept 0.65 (0.11)*** Lagged price of jowar 0.23 (0.16) NS Lagged area of jowar 0.56 (0.21)*** Lagged yield of maize (0.05)** Lagged price of maize 0.13 (0.11) NS Nagaur (0.182)* Tonk 0.08 (0.045)* R Note: ***, **,* denotes significance at 1, 5 and 10% level of probability Maize crop Four variables significantly influenced the current acreage under maize cultivation viz. lagged price of maize, lagged area of maize, rainfall and dummy district-chittore were statistically significant at 1 percent probability level (Table 3). The acreage allocation of maize crop was significantly affected by lagged price of maize, and the relationship turned out to be negative, due to subsistence farming system associated with maize producing areas, thus, a certain amount of production irrespective of the prevailing price in the market. Also, the negative relationship is attributed to non-availability of substitute crops to cultivate, as substitute crops require extra capital for cultivation, well known that capital is the major constraint affecting small and marginal farmers, they tend to glue themselves to the cultivation of maize crop. The adjustment coefficient was 0.81 which was very high, thus, indicating very rapid adjustments of the area under maize crop by the farmers. Other significant variables observed are lagged area and rainfall that exert positive significant influence on acreage allocation under the crop. The coefficient of determination of acreage under the crop was satisfactory as exogenous variables included in the model explained 65 percent variation in current acreage under maize cultivation. District dummy variable: Chittore explaining the existence of un-measureable characteristics influencing area allocation under the crop. The negative sign of the district dummy implied less area allocation to maize as compared to another district. Table 3: Acreage response function of maize crop Intercept 0.98 (0.732) NS Lagged price of maize -0.51(0.13)*** Lagged area of maize 0.19(0.05)*** Lagged yield of maize 0.44 (0.41) NS Price risk of maize 0.11(0.08) NS Rainfall 0.09 (0.031)*** Chittore (0.112)*** Udaipur (0.521) NS R

4 Sadiq et al. 233 Bajra (Millet) crop All variables included in the model to determine acreage response of Bajra were negative (Table 4) due to decline over the years in the area under Bajra cultivation. Only intervening variables were significant factors influencing area allocation to Bajra crop, and the possible reason was, there were no substitute crops to cultivate if the price of Bajra decline and the alternative crops requires extra capital which these paucity poor resource farmers are capacity-wise bereft. Furthermore, the adjustment coefficient was high (0.87), implying rapid adjustments of the area under Bajra crop in the current year. As Jodhpur district was assumed as the base line, all the district dummy variables were significant, expressing unmeasurable district characteristics influencing acreage under Bajra. However, the coefficient of multiple determination was good as it explained 79 percent variation in the current area under allocation of Bajra crop. Table 4: Acreage response function of Bajra crop Intercept 1.23 (0.99) NS Lagged price of bajra (0.591) NS Lagged area of bajra (0.11) NS Lagged yield of maize (0.631) NS Lagged price of maize (0.032) NS Nagaur (0.06)* Churu (0.113)** Sri-Ganganagar 0.19 (0.101)* R Wheat crop The R 2 of the acreage response function was 0.83; meaning that 83 percent variation in acreage under wheat crop cultivation was explained by the exogenous variables included in the model. The lagged area under wheat, yield risk and availability of irrigation facilities with the farmers were the identified significant parameters influencing area under wheat crop. The lagged acreage of wheat and availability of irrigation facilities exert a positive influence on current acreage under wheat production, implying that with assured irrigation facilities to farmers, sustainable wheat production could be achieved. The acreage adjustment coefficient was low (0.39), meaning that the adjustment rate of area under wheat crop was very low. Yield risk had a negative impact on the current acreage devoted to wheat cultivation, meaning farmers react to yield risk involved. Districts dummy explained the nonimportance of Jaipur, Alwar and Sri-Ganganagar districts, respectively, in wheat production, as their estimated coefficients were not significant (Table 5). Table 5: Acreage response function of Wheat crop Intercept (0.212)** Lagged price of wheat (0.235 NS Lagged area of wheat (0.321)* Yield risk of wheat (0.482)* Irrigated area under wheat 0.10 (0.052)* Lagged yield of rice (0.298) NS Lagged price of rice 0.09 (0.07) NS Jaipur (0.191) NS Alwar (0.103) NS Sri-Ganganagar (0.189) NS R Barley crop The acreage response function of barley explained 84 percent variation in the area under Barley cultivation. A perusal of Table 6 revealed that farmers considered lagged acreage, lagged yield and availability of irrigation water as significant parameters in area allocation decision to Barley crop. The area under barley was declining, as depicted by the negative and significant coefficient of lagged yield of barley, and maybe due to the fact that competing crops are more remunerative in term of price and yield as reflected by the non-significant coefficient of lagged price of barley (non-remunerative price). The estimated adjustment coefficient (0.32) was very low, indicating a very low rate of adjustment of the area under barley by the farmers. Assuming Sikar district as the base for dummy variable, all the district dummy variables were significant in expressing un-measureable district characteristics. Table 6: Acreage response function of Barley crop Intercept (0.32)** Lagged price of barley (0.0617) NS Lagged area of barley (0.393)* Lagged yield of barley (0.491)* Irrigated area under barley 0.24 (0.125)* Lagged yield of rice 0.17(0.154) NS Lagged price of rice 0.19 (0.134) NS Jaipur 0.23 (0.129)* Alwar 0.09 (0.051)* Sri-Ganganagar 0.32 (0.171)* R Short-run and Long-run elasticities Owned lagged price variables were found to be positive for three crops viz., jowar, wheat and barley, while negative

5 J. Agric. Econ. Rural Devel. 234 Table 7: Short-run and Long-run price elasticity Crops Short-run elasticity Long-run elasticity Year(s) required for price effect to materialize Jowar Maize Bajra Wheat Barley Source: Authors computation, 2017 for the remaining cereal crops under consideration viz., maize and bajra (Table 7). Out of the aforementioned crops, only maize crop coefficient of lagged price of itself was significant (negative signed). The short run elasticity revealed acreage responsiveness of a crop to price changes in preceding crop period, and the elasticity for these crops ranged from to 0.094: negative price response was observed in maize and bajra (noncommercial crops). However, it should be noted that negative supply response is not an uncommon feature on supply response as seen in earlier studies: Sud and Kahlon (1969) observed negative price coefficients in nearly six gram cultivating districts in Punjab; Cumming (1975) also observed negative price coefficient in nearly half of the 100 wheat cultivating districts in India; Jhala (1979) also observed negative price response in six out of fourteen cases he studied on groundnut crop. In studies of Rao and Krishna (1965); Krishna and Rao (1967) and Bhowmick and Goswami (1998), this kind of conflicting estimates were reported. The long run elasticity reflects the acreage responsiveness of a crop to price change given sufficient time for adjustment. None of the crop under consideration showed very high long-run elasticity as such the impact of price policy on these crops would be mild/light in the long-run. The number of years required for price effect to materialize depends on the technological and institutional constraints faced by the farmers for a particular crop. The higher the constraints, the more is the time required for adjustment. It was observed that Jowar and maize crops, respectively, took medium time for adjustment, while barley and wheat crops, respectively; take very small time for adjustment. The smaller the time for adjustment, the more effective is the price policy instruments in bringing desired change in the supply of a crop. In the case of bajra, the number of years required for the price to materialize was indeterminate. CONCLUSION AND RECOMMENDATION The study empirically investigated farmers supply response with the aim of studying the relevance of policy in the process of decision-making by farmers, and other relevant stakeholders involved in the business of agriculture directly and indirectly. Empirical investigation showed that the acreage response of cereal crop in Rajasthan state was governed by price and non-price factors; hence, price incentive alone was not sufficient in bringing desirable change in cropping pattern as well production of the cereal crop. Non-price factors like yield risk, the yield of own and competing crops, rainfall and irrigation facilities, investigated were relevant explanatory variables. Therefore, policy for better implementation of price support system, development of consistently performing varieties and further enhancement of irrigation facilities will go a long way in ensuring agricultural stability in the state. REFERENCES Abujam AD, Chahal SS (2015). Acreage response of sugarcane to price and non-price factors in Punjab. Indian Journal of Economics and Development.11 (3): Bhowmick BC, Goswami J (1998). Supply response of some important crops in Assam-An inter-district analysis. Agricultural Situation in India. 55(6): Cummings JT (1975). The supply responsiveness of Indian farmers in the post-independence period: Major cereal and cash crops. Indian Journal of Agricultural Economics, 30(1):25 Jhala ML (1979). Farmers' response to economic incentives: An analysis of interregional groundnut supply response in India. Indian Journal of Agricultural Economics, 34(1):55 Krishna J, Rao MS (1967). Dynamics of acreage allocation for wheat in uttar pradesh-a study in supply response. Indian Journal of Agricultural Economics, 22(1):37-43 Maddala GS, Lahiri K (2009). Introduction to Econometrics-Fourth edition. John Wiley and Sons Nerlove M (1958). The dynamics of supply: Estimation of farmers response to price. John Hopkins, Baltimore, U.S.A Rao MS, Krishna J. (1965). Price expectation and acreage response for wheat in Uttar Pradesh. Indian Journal of Agricultural Economics, 20(1):22-27 Subba RS, Raghu RP, Neelakanta STV, Bhavani DI (2016). Agricultural Economics-Second Edition. Oxford and IBH Publishing Company PVT. LTD. Sud L, Kahlon AS (1969). Estimation of acreage response to price of selected crops in Punjab state. Indian Journal of Agricultural Economics, 24(3):46

6 Sadiq et al. 235 Accepted 24 July 2017 Citation: Sadiq MS, Singh IP, Karunakaran N (2017). Supply Response of Cereal Crop Farmers to Price and Non-Price Factors in Rajasthan State of India. Journal of Agricultural Economics and Rural Development, 3(2): Copyright: 2017 Sadiq et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Growth in area, production and productivity of major crops in Karnataka*

Growth in area, production and productivity of major crops in Karnataka* Karnataka J. Agric. Sci.,25 (4) : (431-436) 2012 Introduction Growth in area, production and productivity of major crops in Karnataka* SARASWATI POUDEL ACHARYA, H. BASAVARAJA, L. B. KUNNAL, S. B. MAHAJANASHETTI

More information

Acreage and Yield Response for Major Crops in the Pre- and Post-Reform Periods in India: A Dynamic Panel Data Approach

Acreage and Yield Response for Major Crops in the Pre- and Post-Reform Periods in India: A Dynamic Panel Data Approach Acreage and Yield Response for Major Crops in the Pre- and Post-Reform Periods in India: A Dynamic Panel Data Approach PP-061 G. Mythili Indira Gandhi Institute of Development Research, Mumbai January

More information

Analysis of Resource Use efficiency in Bt. Cotton and American Cotton in Sri Ganganagar District of Rajasthan

Analysis of Resource Use efficiency in Bt. Cotton and American Cotton in Sri Ganganagar District of Rajasthan Available online at www.ijpab.com DOI: http://dx.doi.org/10.18782/2320-7051.6922 ISSN: 2320 7051 Int. J. Pure App. Biosci. 6 (5): 462-466 (2018) Research Article Analysis of Resource Use efficiency in

More information

Trend, Determinants and Profitability of Coconut Cultivation in Kerala

Trend, Determinants and Profitability of Coconut Cultivation in Kerala 81 Research Process 4(1) January June 2016, pp. 81-91 Social Research Foundation Trend, Determinants and Profitability of Coconut Cultivation in Kerala Department of Economics, EKNM Gnment College, Elerithattu,

More information

SUSTAINABLE AGRICULTURE DEVELOPMENT IN INDIA: A CASE STUDY OF UTTAR PRADESH ABSTRACT

SUSTAINABLE AGRICULTURE DEVELOPMENT IN INDIA: A CASE STUDY OF UTTAR PRADESH ABSTRACT SUSTAINABLE AGRICULTURE DEVELOPMENT IN INDIA: A CASE STUDY OF UTTAR PRADESH ABSTRACT Agriculture is a critical sector of the Indian economy. It forms the backbone of development in the country. An average

More information

Decomposition analysis and acreage response of cotton in western Vidarbha

Decomposition analysis and acreage response of cotton in western Vidarbha J. Cotton Res. Dev. 30 (2) 294-301 (July, 2016) Decomposition analysis and acreage response of cotton in western Vidarbha K.R. MANKAWADE, S.S. THAKARE, D.H. ULEMALE Shri Shivaji Agriculture College, Amravati

More information

An Economic Study of Slow Growth of Crops in Pakistan: A Case of Pulses Production in Punjab

An Economic Study of Slow Growth of Crops in Pakistan: A Case of Pulses Production in Punjab An Economic Study of Slow Growth of Crops in Pakistan: A Case of Pulses Production in Punjab Mohammad Pervez Wasim*, Shafiq-ur-Rehman** Amjad Ali*, and Ms. Shehnaz Rashid* 1 Abstract This study attempts

More information

Hectareage response study of wheat crop using nerlovian model for Gujarat state

Hectareage response study of wheat crop using nerlovian model for Gujarat state Internationl R esearch J ournal of A gricultural E conomics and Statistics Volume 5 Issue 1 March, 2014 92-97 Hectareage response study of wheat crop using nerlovian model for Gujarat state Research Paper

More information

Development of Supply and Demand Functions of Pakistan s Wheat Crop

Development of Supply and Demand Functions of Pakistan s Wheat Crop The Lahore Journal of Economics 15 : 1 (Summer 2010): pp. 91-102 Development of Supply and Demand Functions of Pakistan s Wheat Crop Muhammad Zulfiqar * and Anwar F. Chishti ** Abstract A simultaneous-equations

More information

Marketing Efficiency of Green Peas under Different Supply Chains in Punjab

Marketing Efficiency of Green Peas under Different Supply Chains in Punjab Agricultural Economics Research Review Vol. 24 July-December 2011 pp 267-273 Marketing Efficiency of Green Peas under Different Supply Chains in Punjab R.S. Sidhu *, M.S. Sidhu and J.M. Singh College of

More information

Supply response of coconut cultivation in Kerala

Supply response of coconut cultivation in Kerala New Delhi Publishers DOI: 10.5958/0976-4666.2014.00043.6 Supply response of coconut cultivation in Kerala N. Karunakaran 1* and K. Gangadharan 2 1 PG Department of Economics, EKNM Government College Elerithattu,

More information

DEPARTMENT OF ECONOMICS

DEPARTMENT OF ECONOMICS DEPARTMENT OF ECONOMICS AGRICULTURE IN MAHARASHTRA: EMERGING ISSUES AND CHALLENGES BY R.G. Dandge Arun Pawar WORKING PAPER UDE 11/7/2003 OCTOBER 2003 DEPARTMENT OF ECONOMICS UNIVERSITY OF MUMBAI Vidyanagari,

More information

A STUDY ON TREND AND DETERMINANTS OF AGRICULTURAL PRODUCTIVITY: AN INTER DIVISIONAL ANALYSIS IN CHITTOOR DISTRICT (ANDHRA PRADESH)

A STUDY ON TREND AND DETERMINANTS OF AGRICULTURAL PRODUCTIVITY: AN INTER DIVISIONAL ANALYSIS IN CHITTOOR DISTRICT (ANDHRA PRADESH) International Journal of Economics, Commerce and Research (IJECR) ISSN 2250-0006 Vol. 3, Issue 4, Oct 2013, 15-28 TJPRC Pvt. Ltd. A STUDY ON TREND AND DETERMINANTS OF AGRICULTURAL PRODUCTIVITY: AN INTER

More information

CONSTRAINTS IN SMALL FARM DIVERSIFICATION - A STUDY IN KURUKSHETRA DISTRICT OF HARYANA (INDIA)

CONSTRAINTS IN SMALL FARM DIVERSIFICATION - A STUDY IN KURUKSHETRA DISTRICT OF HARYANA (INDIA) CONSTRAINTS IN SMALL FARM DIVERSIFICATION - A STUDY IN KURUKSHETRA DISTRICT OF HARYANA (INDIA) Introduction Brajesh K. Jha and Dayanatha Jha National Centre for Agricultural Economics and Policy Research,

More information

SOURCES AND TRENDS OF AGRICULTURAL CREDIT IN RAJASTHAN

SOURCES AND TRENDS OF AGRICULTURAL CREDIT IN RAJASTHAN Inspira-Journal of Commerce, Economics & Computer Science (JCECS) 291 ISSN : 2395-7069 (Print), General Impact Factor : 2.0546, Volume 03, No. 03, July-Sept., 2017, pp. 291-295 SOURCES AND TRENDS OF AGRICULTURAL

More information

Scope and Prospects of Agricultural Production in Kolhapur District of Maharashtra, India

Scope and Prospects of Agricultural Production in Kolhapur District of Maharashtra, India International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 11 (2017) pp. 2478-2485 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.611.291

More information

Paddy Cultivation in Kerala Trends, Determinants and Effects on Food Security

Paddy Cultivation in Kerala Trends, Determinants and Effects on Food Security Artha J Soc Sci, 13, 4 (2014), 21-35 ISSN 0975-329X doi.org/10.12724/ajss.31.2 Paddy Cultivation in Kerala Trends, Determinants and Effects on Food Security N Karunakaran * Abstract The statistical profile

More information

Status of growth in area, production and productivity of major crops in Jammu province of J&K State

Status of growth in area, production and productivity of major crops in Jammu province of J&K State Indian J. Agric. Res., 51 (4) 2017 : 333-338 Print ISSN:0367-8245 / Online ISSN:0976-058X AGRICULTURAL RESEARCH COMMUNICATION CENTRE www.arccjournals.com/www.ijarjournal.com Status of growth in area, production

More information

Content. Monsoon Report and Sowing Update. Highlights. Southwest Monsoon: A flashback of Southwest Monsoon A slow beginning

Content. Monsoon Report and Sowing Update. Highlights. Southwest Monsoon: A flashback of Southwest Monsoon A slow beginning Content Highlights Southwest Monsoon: A flashback of 2011 Southwest Monsoon 2012- A slow beginning Hike in MSP of Kharif crops Sowing Progress of Kharif crops - Cereals - Pulses - Oilseeds - Cotton - Sugarcane

More information

An Analysis of Determinants of Agriculture Sector Out-Put In Jammu and Kashmir Economy

An Analysis of Determinants of Agriculture Sector Out-Put In Jammu and Kashmir Economy An Analysis of Determinants of Agriculture Sector Out-Put In Jammu and Kashmir Economy Muddasir Ali Mir 1 and Dr. Samta Jain 2 1 (Ph.D Research scholar (Economics) RDVV Jabalpur, Madhya Pradesh, India)

More information

KNOWLEDGE OF IMPROVED RICE PRODUCTION TECHNOLOGY BY THE FARMERS IN DUNGARPUR DISTRICT OF RAJASTHAN

KNOWLEDGE OF IMPROVED RICE PRODUCTION TECHNOLOGY BY THE FARMERS IN DUNGARPUR DISTRICT OF RAJASTHAN Raj. J. Extn. Edu. 20 : 97-101, 2012 KNOWLEDGE OF IMPROVED RICE PRODUCTION TECHNOLOGY BY THE FARMERS IN DUNGARPUR DISTRICT OF RAJASTHAN Ram Lal Khatik*, B. Bhimawat** and B. Upadhyay*** ABSTRACT India

More information

A Statistical Analysis on Instability and Seasonal Component in the Price Series of Major Domestic Groundnut Markets in India

A Statistical Analysis on Instability and Seasonal Component in the Price Series of Major Domestic Groundnut Markets in India International Journal of Current Microbiology and Applied Sciences ISSN: 2319-776 Volume 6 Number 11 (217) pp. 815-823 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/1.2546/ijcmas.217.611.96

More information

ESTIMATES OF CHANGES IN AGRICULTURAL RETURNS DUE TO CROPPING PATTERN CHANGES IN PUNJAB: THROUGH

ESTIMATES OF CHANGES IN AGRICULTURAL RETURNS DUE TO CROPPING PATTERN CHANGES IN PUNJAB: THROUGH Bangladesh J. Agric. Econs. XVIII, 1(1995) : 21-30 ESTIMATES OF CHANGES IN AGRICULTURAL RETURNS DUE TO CROPPING PATTERN CHANGES IN PUNJAB: 1965-70 THROUGH 1988-93. Anju Sharma K.S. Dhindsa ABSTRACT In

More information

CHANGES IN CROPPING INTENSITY IN RAJASTHAN DURING POST LIBERALIZATION STUDY

CHANGES IN CROPPING INTENSITY IN RAJASTHAN DURING POST LIBERALIZATION STUDY CHANGES IN CROPPING INTENSITY IN RAJASTHAN DURING POST LIBERALIZATION STUDY Shamsher Singh Research Scholar, Department of Geography, Kurukshetra University, Kurukshetra ABSTRACT The intensity of cropping

More information

RESOURCE-USE EFFICIENCY AND RETURN TO SCALE IN SMALLHOLDERS COTTON FARMING SYSTEM IN PARBHANI, MAHARASHTRA P. M. Tayade 1 and Prema Borkar 2

RESOURCE-USE EFFICIENCY AND RETURN TO SCALE IN SMALLHOLDERS COTTON FARMING SYSTEM IN PARBHANI, MAHARASHTRA P. M. Tayade 1 and Prema Borkar 2 RESOURCE-USE EFFICIENCY AND RETURN TO SCALE IN SMALLHOLDERS COTTON FARMING SYSTEM IN PARBHANI, MAHARASHTRA P. M. Tayade 1 and Prema Borkar 2 1 Department of Agricultural Economics, Vasantrao Naik Marathwada

More information

MEASUREMENT OF AGRICULTURAL DEVELOPMENT IN RAJASTHAN

MEASUREMENT OF AGRICULTURAL DEVELOPMENT IN RAJASTHAN Raj. J. Extn. Edu. 20 : 44-49, 2012 MEASUREMENT OF AGRICULTURAL DEVELOPMENT IN RAJASTHAN Bhupendra Upadhyay* ABSTRACT The present study was conducted for three points of time i.e. year 1980-81, 1990-91

More information

A Study of Growth Performance and Economics of Rapeseed and Mustard Cultivation in Rajasthan, India

A Study of Growth Performance and Economics of Rapeseed and Mustard Cultivation in Rajasthan, India Available online at www.ijpab.com DOI: http://dx.doi.org/10.18782/2320-7051.7197 ISSN: 2320 7051 Int. J. Pure App. Biosci. 6 (6): 804-809 (2018) Research Article A Study of Growth Performance and Economics

More information

Resource Use Efficiency of Major Field Crops in Reasi District of Jammu Region of Jammu and Kashmir State

Resource Use Efficiency of Major Field Crops in Reasi District of Jammu Region of Jammu and Kashmir State Agro Economist - An International Journal Citation: AE: 4(1): 15-19, June 2017 DOI: 10.5958/2394-8159.2017.00004.4 2017 Renu Publishers. All rights reserved Resource Use Efficiency of Major Field Crops

More information

ACREAGE RESPONSE OF SUGARCANE TO PRICE AND NON PRICE FACTORS IN KHYBER PAKHTUNKHWA

ACREAGE RESPONSE OF SUGARCANE TO PRICE AND NON PRICE FACTORS IN KHYBER PAKHTUNKHWA International Journal of Food and Agricultural Economics ISSN 2147-8988 Vol. 2 No. 3 pp. 121-128 ACREAGE RESPONSE OF SUGARCANE TO PRICE AND NON PRICE FACTORS IN KHYBER PAKHTUNKHWA Muhammad Saddiq The University

More information

Cost of cultivation and returns on different cost concepts basis of onion in Rajasthan

Cost of cultivation and returns on different cost concepts basis of onion in Rajasthan Cost of cultivation and returns on different cost concepts basis of onion in Rajasthan Susheela Meena 1, I.P.Singh 2 and Ramji Lal Meena 3 1 Department of Agricultural Economics, SKRAU, Bikaner-334 006,

More information

Inter-Linkages Among Agricultural Research Investment, Agricultural Productivity and Rural Poverty in India

Inter-Linkages Among Agricultural Research Investment, Agricultural Productivity and Rural Poverty in India Inter-Linkages Among Agricultural Research Investment, Agricultural Productivity and Rural Poverty in India Kiresur V.R and Melinamani V.P. Paper prepared for presentation at the 12 th EAAE Congress People,

More information

Agriculture Update 12 TECHSEAR RAVI SHREY, S.H. KAMBLE, CHANDRESH DHURWEY AND GOPAL KRISHNA ACHARYA OBJECTIVES

Agriculture Update 12 TECHSEAR RAVI SHREY, S.H. KAMBLE, CHANDRESH DHURWEY AND GOPAL KRISHNA ACHARYA OBJECTIVES A U Volume DOI: 10.15740/HAS/AU/1TECHSEAR(6)2017/1682-1687 Agriculture Update 12 TECHSEAR-6 2017 1682-1687 Visit us : www.researchjournal.co.in RESEARCH ARTICLE : Identification of cropping pattern and

More information

Factors Influencing Economic Viability of Marginal and Small Farmers in Punjab 1

Factors Influencing Economic Viability of Marginal and Small Farmers in Punjab 1 Agricultural Economics Research Review Vol. 22 July-December 2009 pp 269-279 Factors Influencing Economic Viability of Marginal and Small Farmers in Punjab 1 Mandeep Singh*, A.S. Bhullar and A.S. Joshi

More information

Analysis of technological gap in potato production technology

Analysis of technological gap in potato production technology 2018; SP1: 2428-2432 E-ISSN: 2278-4136 P-ISSN: 2349-8234 JPP 2018; SP1: 2428-2432 Golu Uikey College of Agriculture, RVSKVV, Gwalior (M.P.), India Ravi Singh Gurjar Deptt. of Extension Education Dr. Bhimrao

More information

Trend and Growth in Agricultural Credit Portfolio of the Jaipur Central Co-operative Bank: A Case Study

Trend and Growth in Agricultural Credit Portfolio of the Jaipur Central Co-operative Bank: A Case Study International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 6 (2017) pp. 3081-3089 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.606.365

More information

Constraints Pertaining to Fenugreek (Trigonella corniculata) Production Technology in Rajasthan, India

Constraints Pertaining to Fenugreek (Trigonella corniculata) Production Technology in Rajasthan, India International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 10 (2018) Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2018.710.406

More information

Growth and export dimensions of Indian turmeric

Growth and export dimensions of Indian turmeric Internationl Research Journal of Agricultural Economics and Statistics Volume 4 Issue 1 March, 2013 91-97 Research Paper Growth and export dimensions of Indian turmeric VINOD R. NAIK AND S.B. HOSAMANI

More information

Impact of Shelterbelts on Net Returns from Agricultural Production in Arid Western Rajasthan

Impact of Shelterbelts on Net Returns from Agricultural Production in Arid Western Rajasthan Agricultural Economics Research Review Vol. 21 January-June 2008 pp 118-122 Impact of Shelterbelts on Net Returns from Agricultural Production in Arid Western Rajasthan B.L. Gajja a *, Rajendra Prasad

More information

Agriculture Update Volume 10 Issue 4 November, OBJECTIVES

Agriculture Update Volume 10 Issue 4 November, OBJECTIVES DOI: 10.15740/HAS/AU/10.4/288-293 Agriculture Update Volume 10 Issue 4 November, 2015 288-293 Visit us : www.researchjournal.co.in A U e ISSN-0976-6847 RESEARCH ARTICLE : Growth performance of cereals

More information

SSRG International Journal of Economics and Management Studies (SSRG-IJEMS) volume4 issue4 April 2017

SSRG International Journal of Economics and Management Studies (SSRG-IJEMS) volume4 issue4 April 2017 SSRG International Journal of Economics and Management Studies (SSRGIJEMS) volume4 issue4 April 2017 Inter District Disparities in Agriculture Development of Rajasthan: Some Policy Implications for Lagged

More information

India is the second largest producer of fruits and vegetables

India is the second largest producer of fruits and vegetables IJCBM Volume 7 Issue 1 April, 2014 215-219 International Journal of Commerce and Business Management A CASE S TU D Y Marketing of tomato : A study in Agra district of Uttar Pradesh LEELANSH AND PUNEET

More information

Crop Weather Relationship and Cane Yield Prediction of Sugarcane in Bihar

Crop Weather Relationship and Cane Yield Prediction of Sugarcane in Bihar Vol. 14, No. 2, pp. 150-155 (2014) Journal of Agricultural Physics ISSN 0973-032X http://www.agrophysics.in Research Article Crop Weather Relationship and Cane Yield Prediction of Sugarcane in Bihar ABDUS

More information

Growth and Instability in Wheat Production: A Region Wise Analysis of Uttar Pradesh, India

Growth and Instability in Wheat Production: A Region Wise Analysis of Uttar Pradesh, India International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 9 (2017) pp. 2537-2544 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.609.312

More information

IMPORTANCE OF AGRICULTURE FOR GROWTH OF INDIAN ECONOMY

IMPORTANCE OF AGRICULTURE FOR GROWTH OF INDIAN ECONOMY IMPORTANCE OF AGRICULTURE FOR GROWTH OF INDIAN ECONOMY Dr. Fulwinder Pal Singh Associate Professor of Economics, Cum Principal SBJS Khalsa College,Satlani Sahib,Amritsar ABSTRACT Agriculture is the backbone

More information

India is house to 15 per cent world cattle

India is house to 15 per cent world cattle Agriculture Update Vol. 5 Issue 3 & 4 August & November, 2010 252-257 An estimation of demand and supply of dry fodder in Karnataka State P.U. NAYAK, H.S.S. KHAN, M.D. MARTUR AND L.B. KUNNAL RESEARCH ARTICLE

More information

systems of Rajasthan D. V. SINGH Central Arid Zone Research Institute, Jodhpur ABSTRACT

systems of Rajasthan D. V. SINGH Central Arid Zone Research Institute, Jodhpur ABSTRACT Annals of Arid Zone-21 (4),289-297, ]982 Economics of mixed cropping systems of Rajasthan in the arid zone farming D. V. SINGH Central Arid Zone Research Institute, Jodhpur - 342003 ABSTRACT cropping is

More information

CONSTRAINT ANALYSIS IN MARKETING OF POTATOES IN TELANGANA STATE OF INDIA

CONSTRAINT ANALYSIS IN MARKETING OF POTATOES IN TELANGANA STATE OF INDIA International Journal of Agricultural Science and Research (IJASR) ISSN(P): 2250-0057; ISSN(E): 2321-0087 Vol. 7, Issue 5 Oct 2017, 77-82 TJPRC Pvt. Ltd. CONSTRAINT ANALYSIS IN MARKETING OF POTATOES IN

More information

Comparative economics of Banana cultivation in Anand district of Gujarat

Comparative economics of Banana cultivation in Anand district of Gujarat Comparative economics of Banana cultivation in Anand district of Gujarat A.K. Dave 1, Y.C. Zala 2 and R.S. Pundir 3 * 1 Department of Agricultural Economics, B.A. College of Agriculture, Anand Agricultural

More information

FORECAST MODELS FOR SUGARCANE

FORECAST MODELS FOR SUGARCANE Pak. J Agri. Sci., Vol. 41(1-2), 2004 FORECAST MODELS FOR SUGARCANE IN PAKISTAN M. Asif Masoood* and Malik Anver Javed Biometrics Programme, Social Sciences Institute, National Agricultural Research Centre,

More information

Trends in Growth Rates of Major Agricultural Crops in Karnataka

Trends in Growth Rates of Major Agricultural Crops in Karnataka Available online at www.ijpab.com DOI: http://dx.doi.org/10.18782/23207051.7220 ISSN: 2320 7051 Int. J. Pure App. Biosci. 6 (6): 913917 (2018) Research Article Trends in Growth Rates of Major Agricultural

More information

Impact of a Cooperative Society on the Arecanut Marketing in Kerala A Case Study of Central Arecanut Marketing and Processing Cooperative Ltd

Impact of a Cooperative Society on the Arecanut Marketing in Kerala A Case Study of Central Arecanut Marketing and Processing Cooperative Ltd Agricultural Economics Research Review Vol. 27 (Conference Number) 2014 pp 135-140 DOI: 10.5958/0974-0279.2014.00015.9 Impact of a Cooperative Society on the Arecanut Marketing in Kerala A Case Study of

More information

Dynamics of Labour Demand and its Determinants in Punjab Agriculture

Dynamics of Labour Demand and its Determinants in Punjab Agriculture Agricultural Economics Research Review Vol. 26 (No.2) July-December 2013 pp 267-273 Dynamics of Labour Demand and its Determinants in Punjab Agriculture Y. Latika Devi, Jasdev Singh*, Kamal Vatta and Sanjay

More information

Marketing behaviour of cumin in Jodhpur district of Rajasthan

Marketing behaviour of cumin in Jodhpur district of Rajasthan Marketing behaviour of cumin in Jodhpur district of Rajasthan Vinod Kumar Verma * and Pradeep Kumar Department of Agricultural Economics, S.K.N. College of Agriculture, Jobner-303329, District-Jaipur Rajasthan,

More information

EVALUATION OF THE RABI CROPS CANPAIGN IN PUNJAB, RAJASTHAN AND UTTAR PRADESH, 1960

EVALUATION OF THE RABI CROPS CANPAIGN IN PUNJAB, RAJASTHAN AND UTTAR PRADESH, 1960 1. The Study EVALUATION OF THE 1958-59 RABI CROPS CANPAIGN IN PUNJAB, RAJASTHAN AND UTTAR PRADESH, 1960 PEO Study No.34 The study was undertaken by the PEO at the instance of the Ministry of Food and Agriculture

More information

Agricultural Growth Analysis A Study of Maharashtra State

Agricultural Growth Analysis A Study of Maharashtra State Agricultural Growth Analysis A Study of Maharashtra State Dr. Sunil Sheshrao Narwade, Associate Professor, Department of Economics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad 431004. Maharashtra,

More information

Socio-economic Profile of the Krishna CADA farmers

Socio-economic Profile of the Krishna CADA farmers Quest Journals Journal of Research in Agriculture and Animal Science Volume 2 ~ Issue 4 (214) pp: 8-16 ISSN(Online) : 2321-9459 www.questjournals.org Research Paper Socio-economic Profile of the Krishna

More information

Trends in Arrival and Prices of Major Agricultural Commodities in APMC, Satara of Western Maharashtra

Trends in Arrival and Prices of Major Agricultural Commodities in APMC, Satara of Western Maharashtra Trends in Arrival and Prices of Major Agricultural Commodities in APMC, Satara of Western Maharashtra INTERNATIONAL JOURNAL OF TROPICAL AGRICULTURE ISSN : 0254-8755 available at http: www.serialsjournal.com

More information

DEMAND, SUPPLY ESTIMATION AND PROJECTION OF WHEAT SITUATION IN BANGLADESH

DEMAND, SUPPLY ESTIMATION AND PROJECTION OF WHEAT SITUATION IN BANGLADESH Bangladesh J. Agric. Econs XXVII, 2 (2004) 25-44 DEMAND, SUPPLY ESTIMATION AND PROJECTION OF WHEAT SITUATION IN BANGLADESH M.A.Matin Shamsul Alam ABSTRACT This paper fills an information gap regarding

More information

International Journal of Commerce and Business Management. Volume 8 Issue 2 October, RESEARCH PAPER

International Journal of Commerce and Business Management. Volume 8 Issue 2 October, RESEARCH PAPER IJCBM e ISSN 0976 7940 International Journal of Commerce and Business Management Volume 8 Issue 2 October, 2015 218-223 DOI: 10.15740/HAS/IJCBM/8.2/218-223 Visit us : www.researchjournal.co.in RESEARCH

More information

IMPACT OF RECOMMENDED TECHNOLOGY IN COWPEA CULTIVATION IN SIKAR DISTRICT OF ZONE II-A OF RAJASTHAN

IMPACT OF RECOMMENDED TECHNOLOGY IN COWPEA CULTIVATION IN SIKAR DISTRICT OF ZONE II-A OF RAJASTHAN Ind. J. Extn. Educ. & R.D. 21 : 34-38, 2013 IMPACT OF RECOMMENDED TECHNOLOGY IN COWPEA CULTIVATION IN SIKAR DISTRICT OF ZONE II-A OF RAJASTHAN B. L. Sharma* and R. N. Sharma** ABSTRACT An attempt has been

More information

DEMAND AND SUPPLY PROJECTIONS OF PEARL MILLET IN RAJASTHAN

DEMAND AND SUPPLY PROJECTIONS OF PEARL MILLET IN RAJASTHAN DEMAND AND SUPPLY PROJECTIONS OF PEARL MILLET IN RAJASTHAN Shirish Sharma, I.P. Singh and Parvinder Jeet Kaur INDIAN JOURNAL OF ECONOMICS AND DEVELOPMENT Volume 9 July-September 2013 No.3 Indian J Econ

More information

Input Subsidy vs Farm Technology Which is More Important for Agricultural Development?

Input Subsidy vs Farm Technology Which is More Important for Agricultural Development? Agricultural Economics Research Review Vol. 27 (No.1) January-June 2014 pp 1-18 DOI: 10.5958/j.0974-0279.27.1.001 Input Subsidy vs Farm Technology Which is More Important for Agricultural Development?

More information

A Study of Temporal Changes in Land Use and Cropping Pattern in Jammu district of J&K State

A Study of Temporal Changes in Land Use and Cropping Pattern in Jammu district of J&K State 2014 Renu Publishers. All rights reserved 2 Renu Publishers A Study of Temporal Changes in Land Use and Cropping Pattern in Jammu district of J&K State Sudhakar Dwivedi, Pawan Kumar Sharma and Harminder

More information

ECONOMICS OF HYBRID MAIZE PRODUCTION IN SOME SELECTED AREAS OF BANGLADESH. M. R. KARIM 1, MONIRUZZAMAN 2 AND Q. M. ALAM 3 Abstract

ECONOMICS OF HYBRID MAIZE PRODUCTION IN SOME SELECTED AREAS OF BANGLADESH. M. R. KARIM 1, MONIRUZZAMAN 2 AND Q. M. ALAM 3 Abstract ISSN 0258-7122 Bangladesh J. Agril. Res. 35(1) : 83-93, March 2010 ECONOMICS OF HYBRID MAIZE PRODUCTION IN SOME SELECTED AREAS OF BANGLADESH M. R. KARIM 1, MONIRUZZAMAN 2 AND Q. M. ALAM 3 Abstract The

More information

1 What are three cropping seasons of India? Explain any one in brief. 2 Discuss three main impacts of globalization on Indian agriculture.

1 What are three cropping seasons of India? Explain any one in brief. 2 Discuss three main impacts of globalization on Indian agriculture. 1 What are three cropping seasons of India? Explain any one in brief. 2 Discuss three main impacts of globalization on Indian agriculture. 3.Distinguish between rabi and kharif season? 4. What is Horticulture?

More information

DIMENSIONS AND DETERMINANTS OF DIVERSIFICATION ON KANGRA FARMS OF HIMACHAL PRADESH: AN EMPIRICAL ANALYSIS

DIMENSIONS AND DETERMINANTS OF DIVERSIFICATION ON KANGRA FARMS OF HIMACHAL PRADESH: AN EMPIRICAL ANALYSIS Bangladesh J. Agric. Econs XXVI, 1& 2(2003) 1-22 DIMENSIONS AND DETERMINANTS OF DIVERSIFICATION ON KANGRA FARMS OF HIMACHAL PRADESH: AN EMPIRICAL ANALYSIS Mahajan Girish ABSTRACT Diversification of agriculture

More information

An economic analysis of winter vegetables production in some selected areas of Narsingdi district

An economic analysis of winter vegetables production in some selected areas of Narsingdi district J. Bangladesh Agril. Univ. 9(2): 241 246, 2011 ISSN 1810-3030 An economic analysis of winter vegetables production in some selected areas of Narsingdi district S. Akter, M. S. Islam and M. S. Rahman Department

More information

Growth and Performance of Agro Based Industries in Punjab

Growth and Performance of Agro Based Industries in Punjab Growth and Performance of Agro Based Industries in Punjab Vikrant Dhawan * & Kashish** * Research fellow, Department of Agronomy, Punjab Agricultural University Ludhiana **Research Scholar, Department

More information

Impact of Land Irrigability Classes on Crop Productivity in Canal Command Area of Gujarat: An Economic Analysis

Impact of Land Irrigability Classes on Crop Productivity in Canal Command Area of Gujarat: An Economic Analysis Agricultural Economics Research Review Vol. 19 January-June 2006 pp 83-94 Impact of Land Irrigability Classes on Crop Productivity in Canal Command Area of Gujarat: An Economic Analysis B.L. Gajja 1, Khem

More information

PRICE SPREAD AND EFFICIENCY OF MARKETING OF TOMATO IN RAJASTHAN

PRICE SPREAD AND EFFICIENCY OF MARKETING OF TOMATO IN RAJASTHAN Indian J. Agric. Res.., 48 (4) 294-300, 2014 doi:10.5958/0976-058x.2014.00663.5 AGRICULTURAL RESEARCH COMMUNICATION CENTRE www.arccjournals.com PRICE SPREAD AND EFFICIENCY OF MARKETING OF TOMATO IN RAJASTHAN

More information

October 11, Impact of India s demonetization on agricultural markets

October 11, Impact of India s demonetization on agricultural markets Impact of India s demonetization on agricultural markets Nidhi Aggarwal Sudha Narayanan October 11, 2017 When 86% of the money was deemed invalid in one stroke! Notes in circulation (in Rs. Bn) 10000 14000

More information

Growth and Instability in Agricultural Production in Haryana: A District level Analysis

Growth and Instability in Agricultural Production in Haryana: A District level Analysis International Journal of Scientific and Research Publications, Volume 4, Issue 7, July 2014 1 Growth and in Agricultural Production in Haryana: A District level Analysis Rakesh Sihmar Research Scholar

More information

status and aspirations are not taken into consideration while developing land use plan and technologies for them.

status and aspirations are not taken into consideration while developing land use plan and technologies for them. Annals of Arid Zone 47(1): 19-23, 2008 Interannual Variation in Area and Productivity of Crops as Influenced by Rainfall, Soil and Land Holding in Changeri Micro-watershed of Udaipur District of Rajasthan

More information

Trends and regional disparity of maize production in India

Trends and regional disparity of maize production in India Vol. 8(9), pp. 193-199, September, 2016 DOI: 10.5897/JDAE2015-0702 Article Number: 5F08EB260362 ISSN 2006-9774 Copyright 2016 Author(s) retain the copyright of this article http://www.academicjournals.org/jdae

More information

Changing Pattern of Area, Production and Productivity of Principal Crops in Haryana, India

Changing Pattern of Area, Production and Productivity of Principal Crops in Haryana, India Int.J.Curr.Microbiol.App.Sci () (): - International Journal of Current Microbiology and Applied Sciences ISSN: - Volume Number () pp. - Journal homepage: http://www.ijcmas.com Original Research Article

More information

Pearl millet ( Pennisetum typhoids) belongs to the

Pearl millet ( Pennisetum typhoids) belongs to the researcharticle International Journal of Commerce and Business Management (April, 2010) Vol. 3 Issue 1 : 95-99 Costs, returns and profitability of pearl millet production Accepted : March, 2010 ABSTRACT

More information

EFFECT OF EDUCATION ON TECHNOLOGY ADOPTION AND AGGREGATE CROP OUTPUT IN BANGLADESH

EFFECT OF EDUCATION ON TECHNOLOGY ADOPTION AND AGGREGATE CROP OUTPUT IN BANGLADESH Bangladesh J. Agric. Econs. XIX, 1 and 2 (1996): 1-15 EFFECT OF EDUCATION ON TECHNOLOGY ADOPTION AND AGGREGATE CROP OUTPUT IN BANGLADESH Uttam Kumar Dev Mahabub Hossain ABSTRACT The study examines the

More information

Cooling the Milk at Collection Centres and Farms with Bulk Milk Coolers: Rajasthan

Cooling the Milk at Collection Centres and Farms with Bulk Milk Coolers: Rajasthan Cooling the Milk at Collection Centres and Farms with Bulk Milk Coolers: Rajasthan A Bulk Milk Cooler of 5000 litre capacity installed at a Dairy Cooperative Society in Rajasthan Background and Objectives

More information

Kharif Sorghum in Karnataka: An Economic Analysis

Kharif Sorghum in Karnataka: An Economic Analysis Agricultural Economics Research Review Vol. 18 July-December 2005 pp 223-240 Kharif Sorghum in Karnataka: An Economic Analysis H. Basavaraja 1, A.Y. Hugar 2, S.B. Mahajanshetti 3, V.V. Angadi 4 and B.

More information

Empirical study of onion marketing channels in Rajasthan

Empirical study of onion marketing channels in Rajasthan Empirical study of onion marketing channels in Rajasthan Susheela Meena 1, I.P.Singh 2 and Kailash Chand Bairwa 3 1 Department of Agricultural Economics, SKRAU, Bikaner-334 006, (Rajasthan), India 2 Department

More information

CHAPTER I 1.1 Introduction

CHAPTER I 1.1 Introduction CHAPTER I 1.1 Introduction Pulses in India have long been considered as the poor man s source of protein. Pulses are grown in 22-23 million hectares of area with an annual production of 13-15 million tones

More information

State Budgetary Resources and Agricultural Development in Rajasthan

State Budgetary Resources and Agricultural Development in Rajasthan Research Study No. 135 State Budgetary Resources and Agricultural Development in Rajasthan Rajeshree A. Dutta AGRO ECONOMIC RESEARCH CENTRE SARDAR PATEL UNIVERSITY VALLABH VIDYANAGAR 388 120. GUJARAT SEPTEMBER

More information

Abstract. Introduction. Methodology

Abstract. Introduction. Methodology Plant Archives Vol. 17 No. 2, 2017 pp. 1487-1491 ISSN 0972-5210 KNOWLEDGE LEVEL OF FARMERS ABOUT THE RECOMMENDED PACKAGE OF PRACTICES AND PRODUCTION TECHNOLOGY ON RAPSEED AND MUSTARD CROP: A STUDY FROM

More information

REGIONAL CONVERGENCE IN AGRICULTURE GROWTH IN INDIA: A STATE LEVEL ANALYSIS

REGIONAL CONVERGENCE IN AGRICULTURE GROWTH IN INDIA: A STATE LEVEL ANALYSIS REGIONAL CONVERGENCE IN AGRICULTURE GROWTH IN INDIA: A STATE LEVEL ANALYSIS Anju Rani Research Scholar, Dept. of economics, Central University of Haryana Dr. Ranjan Aneja Head, Assistant Professor, Dept.

More information

Economics Analysis of Production, Resource Use Efficiency and Constraints Analysis of Sugarcane Cultivation in East Champaran District of North Bihar

Economics Analysis of Production, Resource Use Efficiency and Constraints Analysis of Sugarcane Cultivation in East Champaran District of North Bihar International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 10 (2018) Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2018.710.056

More information

SUPPLY RESPONSE ANALYSIS OF RICE IN PAKISTAN: NORMALIZED RESTRICTED TRANSLOG PROFIT FUNCTION APPROACH

SUPPLY RESPONSE ANALYSIS OF RICE IN PAKISTAN: NORMALIZED RESTRICTED TRANSLOG PROFIT FUNCTION APPROACH International Journal of Innovation and Applied Studies ISSN 08-934 Vol. 7 No. 3 Aug. 04, pp. 86-83 04 Innovative Space of Scientific Research Journals http://www.ijias.issr-journals.org/ SUPPLY RESPONSE

More information

Crop Diversification in Jammu and Kashmir: Pace, Pattern and Determinants

Crop Diversification in Jammu and Kashmir: Pace, Pattern and Determinants IOSR Journal Of Humanities And Social Science (IOSR-JHSS) Volume 11, Issue 5 (May. - Jun. 2013), PP 01-07 e-issn: 2279-0837, p-issn: 2279-0845. www.iosrjournals.org Crop Diversification in Jammu and Kashmir:

More information

TREND ANALYSIS OF AREA AND PRODUCTIVITY OF SORGHUM IN SOKOTO STATE, NIGERIA,

TREND ANALYSIS OF AREA AND PRODUCTIVITY OF SORGHUM IN SOKOTO STATE, NIGERIA, TREND ANALYSIS OF AREA AND PRODUCTIVITY OF SORGHUM IN SOKOTO STATE, NIGERIA, 1993-2012 M., A. Maikasuwa, PhD A.L. Ala, Professor Department of Agricutural Economics, Faculty of Agriculture, Usmanu Danfodiyo

More information

Cost of Cultivation and Yield Rates of Paddy Crop in Agriculture: A Comparative Study between Irrigated and Un-Irrigated Areas of Telangana State

Cost of Cultivation and Yield Rates of Paddy Crop in Agriculture: A Comparative Study between Irrigated and Un-Irrigated Areas of Telangana State Asian Journal of Agriculture & Life Sciences Vol. 1(2), April 2016: 48-53 Website: www.crsdindia.com/aajals.html e-issn: 2455-6149 ORIGINAL ARTICLE and Yield Rates of Paddy Crop in Agriculture: A Comparative

More information

B. Articles. Identification of Predominant Farming Systems and their Economics in Telangana Region of Andhra Pradesh

B. Articles. Identification of Predominant Farming Systems and their Economics in Telangana Region of Andhra Pradesh B. Articles Identification of Predominant Farming Systems and their Economics in Telangana Region of Andhra Pradesh V. RAJENDRA PRASAD, M. MALLA REDDY AND M. V. RAMANA* Introduction Telangana is one of

More information

STOCHASTIC MAIZE PRODUCTION TECHNOLOGY AND PRODUCTION RISK ANALYSIS IN DADAR DISTRICT, EAST ETHIOPIA

STOCHASTIC MAIZE PRODUCTION TECHNOLOGY AND PRODUCTION RISK ANALYSIS IN DADAR DISTRICT, EAST ETHIOPIA STOCHASTIC MAIZE PRODUCTION TECHNOLOGY AND PRODUCTION RISK ANALYSIS IN DADAR DISTRICT, EAST ETHIOPIA B Fufa & RM Hassan 1 Abstract A stochastic production technology that allows risk effects of factor

More information

Y = abt Ut (3.1) Karnataka, the area under pepper decreased from 2001 to 2003 and then it increased upto In the year 2006, the area again margin

Y = abt Ut (3.1) Karnataka, the area under pepper decreased from 2001 to 2003 and then it increased upto In the year 2006, the area again margin International J. Seed Spices 4(2), July 2014:1-10 Growth and instability in production and export of selected spices of India Soumya.C1, S.S. Burark1 L. Sharma1 and H.K. Jain2 1 Department of Agricultural

More information

BHOOCHETANA Technology Adoption & Enhancement of Productivity in Dry Land Agriculture in Karnataka

BHOOCHETANA Technology Adoption & Enhancement of Productivity in Dry Land Agriculture in Karnataka BHOOCHETANA Technology Adoption & Enhancement of Productivity in Dry Land Agriculture in Karnataka We need a second green revolution that is more broad-based, more inclusive and more sustainable.. this

More information

EFFECT OF VARIOUS FACTORS ON WHEAT PRODUCTION

EFFECT OF VARIOUS FACTORS ON WHEAT PRODUCTION Sarhad J. Agric. Vol. 30, No.1, 2014 EFFECT OF VARIOUS FACTORS ON WHEAT PRODUCTION * MUHAMMAD IQBAL 1, MUHAMMAD FAHIM 1, QAMARUZ ZAMAN 1, MUHAMMAD USMAN 2, SUNDUS 3 and ATTA UR RAHMAN 4 1. Department of

More information

DISTRIBUTION OF CROPS AND THEIR REQUIREMENT

DISTRIBUTION OF CROPS AND THEIR REQUIREMENT DISTRIBUTION OF CROPS AND THEIR REQUIREMENT Cropping Seasons in India Agriculture in India also follows three distinct cropping seasons i.e. rabi, kharif and zaid. Rabi crops are sown from October to December

More information

Comparing Total Factor Productivity of milk and major crops in Haryana: its implications on future investment

Comparing Total Factor Productivity of milk and major crops in Haryana: its implications on future investment Available online at: http://euroasiapub.org pp. 20~29 Comparing Total Factor Productivity of milk and major crops in Haryana: its implications on future investment L. R. Dubey a* Assistant Professor, College

More information

MEASUREMENT OF PRODUCTIVITY AND EFFICIENCY OF POTATO PRODUCTION IN TWO SELECTED AREAS OF BANGLADESH: A TRANSLOG STOCHASTIC FRONTIER ANALYSIS

MEASUREMENT OF PRODUCTIVITY AND EFFICIENCY OF POTATO PRODUCTION IN TWO SELECTED AREAS OF BANGLADESH: A TRANSLOG STOCHASTIC FRONTIER ANALYSIS Progress. Agric. 21(1 & 2): 233 245, 2010 ISSN 1017-8139 MEASUREMENT OF PRODUCTIVITY AND EFFICIENCY OF POTATO PRODUCTION IN TWO SELECTED AREAS OF BANGLADESH: A TRANSLOG STOCHASTIC FRONTIER ANALYSIS A.

More information

Impact of national food security mission-pulses on legumes production performance in Punjab, India

Impact of national food security mission-pulses on legumes production performance in Punjab, India Legume Research, 38 (5) 2015: 609-615 Print ISSN:0250-5371 / Online ISSN:0976-0571 AGRICULTURAL RESEARCH COMMUNICATION CENTRE www.arccjournals.com/www.legumeresearch.in Impact of national food security

More information

Efficiency of Resource Use by Rice Farmers in Ebonyi State, South East Nigeria: A Data Envelopment Analysis

Efficiency of Resource Use by Rice Farmers in Ebonyi State, South East Nigeria: A Data Envelopment Analysis Publisher: Asian Economic and Social Society ISSN: 2224-4433 Volume 2 No. 2 June 212 Efficiency of Resource Use by Rice Farmers in Ebonyi State, South East Nigeria: A Data Envelopment Analysis Ogisi O

More information

Wheat Yield Prediction using Weather based Statistical Model in Central Punjab

Wheat Yield Prediction using Weather based Statistical Model in Central Punjab Vol. 15, No. 2, pp. 157-162 (2015) Journal of Agricultural Physics ISSN 0973-032X http://www.agrophysics.in Research Article Wheat Yield Prediction using Weather based Statistical Model in Central Punjab

More information