STOCHASTIC FRONTIER ANALYSIS OF NEW ZEALAND'S MANUFACTURING INDUSTRIES: SOME EMPIRICAL RESULTS [PDF]
This paper examines the sources of total factor productivity growth (TFP) in New Zealand's manufacturing industries over the period 1978-98 and over various sub-periods. Examination of the data adopts two stages using a stochastic frontier approach.
Xayavong, Vilaphonh, Gounder, Rukmani
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Deforestation and Efficiency: Insights From Forest Transition in the Brazilian Cerrado
Agribusiness, EarlyView.ABSTRACT This paper estimates technical efficiency (TE) and environmental efficiency (EE) of agricultural production at the municipal level of the Brazilian Cerrado in 2006 and 2017, and investigates their underlying mechanisms in relation to forest transition theory.
Ricardo Muniz Simões +2 more
wiley +1 more source
Efficiency Measurement and Heterogeneity Analysis of Chinese Cultural and Creative Industries: Based on Three-Stage Data Envelopment Analysis Modified by Stochastic Frontier Analysis. [PDF]
Front Psychol, 2021 Li M, Sun H, Agyeman FO, Su J, Hu W.
europepmc +1 more source
Stochastic frontiers with a Rayleigh distribution
Journal of Productivity Analysis, 2014 We introduce a stochastic frontier model with a one-parameter distribution known as the Rayleigh distribution which has a non-zero mode and yet it is easy to estimate and use. We show how this model can be estimated using various estimation methods. The Rayleigh model with environmental variables and time-varying features is also considered. It is also
openaire +2 more sources
On measuring indebtedness of African countries: A stochastic frontier debt production function [PDF]
At least since the early 1990s, the problem of Africa’s debt was a recurring theme in the development debate and many suggestions for debt relief have now been implemented.
Nkamleu, Guy Blaise
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Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Journal of Agricultural Extension, 2019 This study investigated productive and profitability capacities of contour farming technologies in rice production in Barangwaje, Ikara Local Government Area and Dutsen Abba in Zaria Local Government Area of Kaduna State.
Mamman Kwagyang Saleh
doaj +4 more sources
The Productivity Debate of East Asia Revisited: A Stochastic Frontier Approach [PDF]
This paper applies a stochastic frontier production model to the data from Penn World Table’s 49 countries over the period 1965-1990, to decompose total factor productivity growth into technical change and technical efficiency change.
Young Hoon Lee, Sangho Kim
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Advanced Intelligent Discovery, EarlyView.Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley +1 more source
Wheat Productivity, Efficiency, and Sustainability: A Stochastic Production Frontier Analysis [PDF]
This paper uses the farm-level survey data to estimate the stochastic frontier production function incorporating inefficiency effects. Sufficient evidence of positive relationship between wheat productivity and higher and balanced use of fertiliser ...
Iqbal, Muhammad +2 more
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