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An Economic Analysis of the Efficiency and Sustainability of Fertilization Programmes at the Level of Operational Systems, with Case Studies on Table Tomato, Carrot and Potato in Central Italy

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Advances in Research on Fertilization Management of Vegetable Crops

Part of the book series: Advances in Olericulture ((ADOL))

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Abstract

The objective of the study is to address an economic problematic area in the field of fertilization management: how the characteristics of the production system for a given vegetable crop influence the fertilization strateg y effect of farm efficiency. The analysis is conducted at the farm level and framed into a conceptualization of the relationship between the decisional and operational systems. The conceptual framework emphasizes the importance of the response function approach, of sustainability principles and of organizational dimensions. Data on Table tomato, carrot and potato were collected from the European Union Farm Accounting Data Network system. Data Envelopment Analysis indicates the importance of operational systems organizational factors in determining crop efficiency. The evidence suggests considering the objectives of the fertilization programme in the context of the organizational dimensions of the operational system.

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Notes

  1. 1.

    The production frontier is a common conceptual tool in the Theory of Production, indicating the combinations of the maximum amount of two outputs that can be produced with a given amount of resources.

  2. 2.

    A simpler case – not presented in detail – concerns 14 DMUs engaged in carrot production in Celano (Abruzzi, south Italy). In the case of constant returns to scale, the distribution of the efficiency levels is more concentrated towards the largest values. Actually, the distance between the first and the second quartile is small (0.028) compared with the distance between the second and the third quartile (0.214). In the case of the variable returns to scale, the results indicate a concentration of efficiency in the largest value areas. Because of the small number of units available, it was impossible to examine the effects of the contextual variables.

References

  • Amon-Armah F, Yiridoe EK, Jamieson R, Hebb D (2015) Comparison of crop yield and pollution production response to nitrogen fertilization models. Accounting for crop rotation effect. Agroecol Sustain Food Syst 39(3):245–275

    Article  Google Scholar 

  • Beddington J (2010) Food security: contributions from science to a new and greener revolution. Philos Trans R Soc Lond Ser B Biol Sci 365(1537):61–71

    Article  Google Scholar 

  • Boote KJ, Jones JW, Pickering NB (1996) Potential uses and limitations of crop models. Agron J 88(5):704–716

    Article  Google Scholar 

  • Brorsen BW, Richter FGC (2012) Experimental designs for estimating plateau-type production functions and economically optimal input levels. J Prod Anal 38(1):45–52

    Article  Google Scholar 

  • Chambers RG, Lichtenberg E (1996) A nonparametric approach to the von Liebig-Paris Technology. Am J Agric Econ 78:373–386

    Article  Google Scholar 

  • Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 12:429–444

    Article  Google Scholar 

  • Coelli T (1998) A multi-stage methodology for the solution of orientated DEA models. Oper Res Lett 23(3):143–149

    Article  Google Scholar 

  • Dobbs TL, Pretty JN (2004) Agri-environmental stewardship schemes and “Multifunctionality”. Rev Agric Econ 26:220–237

    Article  Google Scholar 

  • Dunne AJ (2007) Organizational learning: an Australian food industry chain. J Chain Netw Sci 7:55–69

    Article  Google Scholar 

  • Fan M, Shen J, Yuan L, Jiang R, Chen X, Davies WJ, Zhang F (2011) Improving crop productivity and resource use efficiency to ensure food security and environmental quality in China. J Exp Bot 30:1–12

    CAS  Google Scholar 

  • Färe R, Wang C, Seavert C (2012) A model of site-specific nutrient management. Appl Econ 44:4369–4380

    Article  Google Scholar 

  • Fried HO, Schmidt S, Yaisawarng S (1999) Incorporating the operating environment into a nonparametric measure of technical efficiency. J Prod Anal 12(3):249–267

    Article  Google Scholar 

  • Fried HO, Lovell CAK, Schmidt S, Yaisawarng S (2002) Accounting for environmental effects and statistical noise in data envelopment analysis. J Prod Anal 17(1):157–174

    Article  Google Scholar 

  • Gabriel JL, Garrido A, Quemada M (2013) Cover crops effect on farm benefits and nitrate leaching: linking economic and environmental analysis. Agric Syst 121:23–32

    Article  Google Scholar 

  • Glenn EP, Nagler PL, Huete AR (2010) Vegetation index methods for estimating evapotranspiration by remote sensing. Surv Geophys 31(6):531–555

    Article  Google Scholar 

  • Goffart JP, Olivier M, Frankinet M (2011) Crop nitrogen status assessment tools in a decision support system for nitrogen fertilization management of potato crops. HortTechnology 21(3):282–286

    Google Scholar 

  • Grandori A, Furnari S (2008) A chemistry of organization: combinatory analysis and design. Organ Stud 29:459–485

    Article  Google Scholar 

  • Johnson AL, Kuosmanen T (2012) One-stage and two-stage DEA estimation of the effects of contextual variables. Eur J Oper Res 220(2):559–570

    Article  Google Scholar 

  • Kay P, Edwards AC, Foulger M (2009) A review of the efficacy of contemporary agricultural stewardship measures for ameliorating water pollution problems of key concern to the UK water industry. Agric Syst 99:67–75

    Article  Google Scholar 

  • Matson PA, Parton WJ, Power AG, Swift MJ (1997) Agricultural intensification and ecosystem properties. Science 277(5325):504–509

    Article  CAS  PubMed  Google Scholar 

  • Mc Donald J (2009) Using least squares and tobit in second stage DEA efficiency analyses. Eur J Oper Res 197(4):792–798

    Article  Google Scholar 

  • Mikkelsen SA, Iversen TM, Jacobsen BH, Kjaer SS (2009) The regulation of nutrient losses in Denmark to control aquatic pollution from agriculture. In: Steinfeld H, Mooney HA, Schneider F, Neville LE (eds) Livestock in a changing landscape: drivers, consequences and responses. FAO Report, Rome, Italy, pp 295–308

    Google Scholar 

  • Muñiz MA (2002) Separating managerial inefficiency and external conditions in data envelopment analysis. Eur J Oper Res 143(3):625–643

    Article  Google Scholar 

  • Nesme T, Bellon S, Lescourret F, Senoussi R, Habib R (2005) Are agronomic models useful for studying farmers’ fertilization practices? Agric Syst 83:297–314

    Article  Google Scholar 

  • Nowak P (1992) Why farmers adopt production technology. Overcoming impediments to adoption of crop residue management techniques will be crucial to implementation of conservation compliance plans. J Soil Water Conserv 47(1):14–16

    Google Scholar 

  • Paris Q (1981) Alcune recenti innovazioni sui metodi di analisi quantitativa in economia della produzione. In: Angeli L, De Benedictis M, Fanfani R (eds) Economia della produzione agricola e metodi quantitativi. Franco Angeli, Milan, pp 17–54

    Google Scholar 

  • Paris Q (1992a) The von Liebig Hypothesis. Am J Agric Econ 71:178–186

    Article  Google Scholar 

  • Paris Q (1992b) The return of the von Liebig’s ‘Law of the Minimum’. Agron J 84:1040–1046

    Article  CAS  Google Scholar 

  • Penrose ET (1995) The theory of the growth of the firm. Oxford University Press, Oxford

    Book  Google Scholar 

  • Peterson HC (2002) The ‘learning’ supply chain: pipeline or pipedream? Am J Agric Econ 84:1329–1336

    Article  Google Scholar 

  • Polanyi M (1966) The tacit dimension. University of Chicago Press, Chicago

    Google Scholar 

  • Polidori R, Romagnoli A (1987) Tecniche e processo produttivo: analisi a “fondi e flussi” della produzione del settore agricolo. Rivista di economia agraria 42(3):335–372

    Google Scholar 

  • Pretty J (2008) Agricultural sustainability: concepts, principles and evidence. Philos Trans R Soc Lond Ser B Biol Sci 363(1491):447–465

    Article  Google Scholar 

  • Pretty J, Bharucha ZP (2014) Sustainable intensification in agricultural systems. Ann Bot Lond 114(8):1571–1596

    Article  Google Scholar 

  • Schröder JJ, Neeteson JJ, Oenema O, Struik PC (2000) Does the crop or the soil indicate how to save nitrogen in maize production? Reviewing the state of the art. Field Crop Res 66(2):151–164

    Article  Google Scholar 

  • Sèbillotte M (1992) Pratique agricole et fertilité du milieu. Économie Rurale 208:117–124

    Article  Google Scholar 

  • Sèbillotte MM, Allain S (1991) Equipment et fonctionnement des exploitations agricoles: contribution pour une meilleure aide à la decision. Économie Rurale 206:81–87

    Article  Google Scholar 

  • Snapp SS, Swinton SM, Labarta R, Mutch D, Black JR, Leep R, Nyiraneza J, O’Neil K (2005) Evaluating cover crops for benefits, costs and performance within cropping system niches. Agron J 97(1):322–332

    Google Scholar 

  • Sporleder TL, Wu SY (2006) Social capital and vertical ties in agrifood supply chains. Journal of Chain and Network Science 6:1–7

    Article  Google Scholar 

  • van der Ploeg JD (2008) The new peasantries: struggles for autonomy and sustainability in an era of empire and globalization. Earthscan, London

    Google Scholar 

  • Wang C, Färe R, Seavert CF (2006) Revenue capacity efficiency of pear trees and its decomposition. J Am Soc Hortic Sci 131(1):32–40

    Google Scholar 

  • Zhang K, Greenwood DJ, White PJ, Burns IG (2007) A dynamic model for the combined effects of N, P and K fertilizers on yield and mineral composition; description and experimental test. Plant Soil 298(1–2):81–98

    Article  CAS  Google Scholar 

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Correspondence to Gaetano Martino .

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Glossary

CAP

Common Agricultural Policy

DEA

Data Envelopment Analysis

DMU

Decision Making Units

EEC

European Economic Commission

EU

European Union

FADN

Farm Accounting Database Network

LRP

Linear Response Plateau

UAA

Utilized Agricultural Area

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Martino, G., Polinori, P., Turchetti, L. (2017). An Economic Analysis of the Efficiency and Sustainability of Fertilization Programmes at the Level of Operational Systems, with Case Studies on Table Tomato, Carrot and Potato in Central Italy. In: Tei, F., Nicola, S., Benincasa, P. (eds) Advances in Research on Fertilization Management of Vegetable Crops . Advances in Olericulture. Springer, Cham. https://doi.org/10.1007/978-3-319-53626-2_10

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