Impacts of the use of biological pest control on the technical efficiency of the Brazilian agricultural sector

被引：16
作者：
Rodrigues, L. C. C. [1 ]
Fortini, R. M. [1 ]
C. R. Neves, M. [1 ]
机构：
[1] Univ Fed Vicosa, Dept Rural Econ, Ave Purdue S-No, BR-36570900 Vicosa, MG, Brazil
来源：
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY | 2023年 / 20卷 / 01期
关键词：
Entropy balancing; Productivity; Stochastic production frontier; Sustainability; FRONTIER PRODUCTION FUNCTION; PESTICIDE USE; MANAGEMENT; HEALTH; FARMERS; CITRUS; INEFFICIENCY; ENVIRONMENT; ECONOMICS; STRATEGY;
D O I：
10.1007/s13762-022-04032-y
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper aimed to assess the impact of the intensive use of biological control on the technical efficiency of the Brazilian agricultural sector. The study also considered the influence of factors such as technical assistance, rural financing, and membership in cooperatives or class entities on efficiency measures. It was estimated stochastic production frontiers for regions intensively using and not using biological control, considering potential selection bias. Results demonstrate that areas with intensive use of biological pest management have a 0.863 technical efficiency score, while this score is 0.823 for nonintensive areas. This means that the intensive regions would be closer to their efficiency frontiers. Additionally, technical assistance and membership in cooperative or class entities increase efficiency by 6 and 2.5%, respectively. It can be concluded that the intensive adoption of biological control can raise the productive performance of the Brazilian agricultural sector. Therefore, it must be highlighted the importance of formulating joint policies (e.g., credit+rural extension) for the adoption of biological control to be a feasible option to promote the sustainable development of the Brazilian agricultural sector.
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页码：1 / 16
页数：16
相关论文
共 86 条
[31]  
Freitas C. O. de, 2019, Rivista di Economia Agraria, V74, P33
[32]  
Fronzaglia, 2006, AVALIACAO PROJECAO I
[33]   Social capital, land tenure and the adoption of green control techniques by family farms: Evidence from Shandong and Henan Provinces of China [J].
Gao, Yang ;
Liu, Bei ;
Yu, Lili ;
Yang, Haoran ;
Yin, Shijiu .
LAND USE POLICY, 2019, 89
[34]   Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies [J].
Hainmueller, Jens .
POLITICAL ANALYSIS, 2012, 20 (01) :25-46
[35]   The evolutionary origins of pesticide resistance [J].
Hawkins, Nichola J. ;
Bass, Chris ;
Dixon, Andrea ;
Neve, Paul .
BIOLOGICAL REVIEWS, 2019, 94 (01) :135-155
[36]   SAMPLE SELECTION BIAS AS A SPECIFICATION ERROR [J].
HECKMAN, JJ .
ECONOMETRICA, 1979, 47 (01) :153-161
[37]  
Helfand S.M., 2015, IDB WORKING PAPER SE, V609
[38]  
IBGE-Instituto Brasileiro de Geografia e Estatistica, 2015, GUIA US SAL AC DAD R
[39]  
IBGE-Instituto Brasileiro de Geografia e Estatistica, Censo Agropecuario 2006
[40]   ON THE ESTIMATION OF TECHNICAL INEFFICIENCY IN THE STOCHASTIC FRONTIER PRODUCTION FUNCTION MODEL [J].
JONDROW, J ;
LOVELL, CAK ;
MATEROV, IS ;
SCHMIDT, P .
JOURNAL OF ECONOMETRICS, 1982, 19 (2-3) :233-238
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