Nonparametric measurement of the overall shift in the technology frontier: An application to multiple-output agricultural production data in the Brazilian Amazon

Empirical Economics

Volumn 44, Issue 3, 2013, Pages 1455-1475

  Otsuki, Tsunehiro ^a  

^a OSAKA UNIVERSITY   (Japan)

Author keywords

Circularity test; Data envelopment analysis; Directional vectors; Malmquist index; Sample independence; Technical change

Indexed keywords

AGRICULTURAL DEVELOPMENT; AGRICULTURAL PRODUCTION; CATTLE; COMPARATIVE STUDY; DATA ENVELOPMENT ANALYSIS; TECHNOLOGICAL CHANGE;

BRAZIL;

BOS;

EID: 84877631384     PISSN: 03777332     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00181-012-0582-4     Document Type: Article

References (17)

1. Aoki S, Naito Y, Tsuji H (2005) DEA-based indicator for performance improvement. In: The 2005 International Conference on Active Media Technology, pp 327-330.
2. Arima EY (1997) Cattle ranching in the Brazilian Amazon: subsidies, efficiency, and inequality. A Thesis for Master of Science, The Pennsylvania State University, University Park.
3. Asmild M, Tam F (2007) Estimating global frontier shifts and global Malmquist indices. J Prod Anal 27: 137-148.
4. Balk BM, Althin R (1996) A new, transitive productivity index. J Prod Anal 7: 19-27.
5. Berg SA, Førsund FR, Jansen ES (1992) Malmquist indices of productivity growth during the deregulation of Norwegian banking, 1980-89. Scand J Econ 94: 211-228.
6. Browder JO (1988) Public policy and deforestation in the Brazilian Amazon public policies and the misuse of forest resources. In: Robert R, Malcolm G (eds) Public policies and the misuse of forest resources. Cambridge University Press, Cambridge, pp 247-297.
7. Caves DW, Christensen LR, Diewert WE (1982) The economic theory of index numbers and the measurement of input, output and productivity. Econometrica 50(6): 1393-1414.
8. Chen Y, Ali AA (2004) DEA Malmquist productivity measure: new insights with an application to computer industry. Eur J Oper Res 159: 239-249.
9. Färe R, Grifell-Tatje E, Grosskopf S, Lovell CAK (1997) Biased technical change and the Malmquist productivity index. Scand J Econ 99(1): 119-127.
10. Färe R, Grosskopf S, Norris M, Zhang Z (1994) Productivity growth, technical progress, and efficiency change in industrialized countries. Am Econ Rev 84(1): 66-83.
11. Fulginiti LE, Perrin RK (1997) LDC Agriculture: nonparametric Malmquist productivity indexes. J Dev Econ 53: 373-390.
12. Hicks JR (1963) The theory of wages, 2nd edn. Macmillan, London.
13. Lee DR, Barrett CB, McPeak JG (2006) Policy, technology, and management strategies for achieving sustainable agricultural intensification. Agric Econ 34: 123-127.
14. Nin A, Arndt C, Preckel PV (2003) Is agricultural productivity in developing countries really shrinking? New evidence using a modified nonparametric approach. J Dev Econ 71: 395-415.
15. Pastor JT, Lovell CAK (2005) A global Malmquist productivity index. Econ Lett 88: 266-271.
16. Simar L, Wilson PW (1999) Estimating and bootstrapping Malmquist indices. Eur J Oper Res 115: 459-471.
17. Umetsu C, Lekprichakui T, Chakravorty U (2003) Efficiency and technical change in the Philippine rice sector: a Malmquist. Am J Agric Econ 85(4): 943-963.