Parametric production frontier functions are frequently used in stochastic frontier models, but there do not seem to be any empirical test statistics for the plausibility of this application. In this paper, we develop procedures to test whether or no...
This paper discusses Bayesian model averaging (BMA) in Stochastic Frontier Analysis and investigates inference sensitivity to prior assumptions made about the scale parameter of (in)efficiency. We turn our attention to the “standard” prio...
In this paper, the high-dimensional stochastic frontier model problem is explored via Elastic Net under the transfer learning framework. When the target data is limited, transfer learning improves the accuracy of model estimation and prediction by tr...
The traditional Stochastic Frontier Model (SFM) suffers from a very restrictive assumption of independence of its error components and also limited ability to address heterogeneity (inefficiency effects) satisfactorily, thereby leading to potential b...
We use the concept of coarsened posteriors to provide robust Bayesian inference via coarsening in order to robustify posteriors arising from stochastic frontier models. These posteriors arise from tempered versions of the likelihood when at most a pr...
The new energy industry is an imperative method through which to achieve sustainable development. Industrial clusters are one of the main states in the development of the new energy industry. However, few existing studies discuss the impact of indust...
It is of great significance to clarify the impact of the rapid development of digital trade on China’s grain imports in order to enhance its efficiency and guarantee food security. From an import perspective, this article adopts a stochastic fr...
This paper investigates energy use efficiency at the province level in China using the stochastic frontier panel data model approach. The stochastic frontier model is a parametric model which allows for the modeling of the relationship between energy...
This paper proposes a stochastic frontier model for measuring both technical and environmental performance at the mine level by using a translog production function. The Kardia Field opencast lignite mine of the Greek Public Power Corporation (PPC),...
The theft of electrical energy is one of the main problems faced by electricity distribution utilities, especially in developing countries. Aware of the difficulties in combating non-technical losses (NTLs) in Brazil, the National Electric Energy Age...
Nowadays, container terminals are subject to extensive technological changes and specific transformations. Changes applied to terminals tend to increase their ability to offer high- end personalized services to the customers and finally affect the co...
Amid rapid urbanization and persistent food insecurity in Latin America, urban gardens have emerged as sustainable alternatives to conventional agriculture. This study evaluates the technical and economic efficiency of producing four vegetables (lett...
As global competition has intensified in the automotive industry, there is a strong need for management teams to develop methods that allow accurate and objective assessments of plant productivity and to identify productivity improvement opportunitie...
The paper develops a simultaneous equations stochastic frontier model (SFM) with dependent random noise and inefficiency components of individual equations as well as allowing dependence across all equations of the model using copula functions. First...
The paper provides findings on the technical efficiency of the European dairy processing industry, which is one of the most important subsectors of the food processing industry in the European Union (EU). The ability to efficiently use inputs in the...
We consider a stochastic frontier model in which a deviation of output from the production frontier consists of two components, a one-sided technical inefficiency and a two-sided random noise. In such a situation, we develop a semiparametric regressi...
This study analyzed factors affecting profit efficiency of rice farms in wet-season lowlands in the Champhone District of Savannakhet Province in the Lao People’s Democratic Republic based on a farmer’s decision to maximize profits. The profit effici...
This research was conducted to explore the factors affecting the technical efficiency (TE) of rice producers and its determinants at the farm level. We used a multi-stage sampling procedure to collect cross-sectional data from 800 rice growers in the...
This paper studies the effect of variance swap in hedging volatility risk under the mean-variance criterion. We consider two mean-variance portfolio selection problems under Heston’s stochastic volatility model. In the first problem, the financ...
Understanding the substitution effect and creation effect of digital transformation on the manufacturing industry is crucial to safeguarding employment stability and advancing manufacturing sophistication in China’s contemporary context. In thi...
Increasing yield while minimizing environmental pollution in agricultural production is nowadays the primary concern in agriculture-based countries, including Vietnam. This study aims to assess the environmental efficiency and technical efficiency, a...
The study of academic title differences in universities helps to promote researchers’ enthusiasm and is critical to the efficiency of university scientific research. This study examines the impact of academic title differences on the research e...
An international rules system on digital trade that can satisfy multilateral interest appeal has not been formed yet despite the rapid growth of digital services trade. Using the panel data of 39 countries from 2010 to 2019, this study applied the st...
The actual problem of enterprise revenue management that requires an effective solution is considered. Revenue is the main source of cash proceeds specifically from the main enterprise activities, as well as one of the main factors affecting enterpri...
Under the pressure of serious environmental pollution and energy shortage, China needs to improve its energy efficiency to alleviate these problems. Environmental regulation is an important constraint on economic development, which has an impact on e...
Low technical efficiency and excessive usage of chemical fertilizer in grain production is a problem commonly faced by China and many other developing countries, which leads to serious environment pollution and high environmental governance cost. Chi...
To achieve the high-quality model of green, low-carbon, and sustainable development in China, it is necessary to clarify the relationship between population aging and carbon emissions in regions. Based on the panel data of 30 provinces and cities in...
The efficient use of inputs is indispensable in many developing countries, such as Ethiopia. This study assesses the level and determinants of technical efficiency of smallholder farmers using the true fixed effects (TFE) model. The TFE model separat...
Amidst the transformation of logistics dynamics due to the global pandemic, the attention directed toward the effects of the Arctic shipping route on Shanghai Port has intensified. This study thoroughly investigates the incorporation of the Arctic sh...
Pakistan is an agrarian economy confronting both risk and uncertainty. Rural migration to urban and off-farm work is increasing in the country. Off-farm work assists in decreasing risk and uncertainty while technical efficiency is linked with off-far...
Developing indicators to monitor the dynamic equilibrium of sustainable ecosystem variables has been challenging for policymakers, companies, and researchers. The new method matrix decomposition analysis (MDA) is an adaptation of the Leontief input&n...
The rapid growth of farmland rental markets in China raises questions about the association of farmland rental and agricultural productivity. Although this issue has been extensively studied, the majority of studies have focused on yields and technic...
A good grasp of the carbon emission efficiency (CEE) of the provinces in the Yellow River basin (YRB) in China, and its influencing factors, can help promote the sustainable development of the region and smooth realization of the national carbon emis...
Given their increasing engagement with the global economy, emerging countries such as Peru depend on their export sector. This research evaluates the level of efficiency of Peruvian exports (EF) and the impact of four regional trade agreements (RTAs)...
With the emergence of ride-sourcing and ride-splitting services, more options are available to support shifts away from transit, where maintaining transit ridership increases requirements for transit service quality, so as to promote high-capacity an...
Trade facilitation is essential to lowering overall trade costs and increasing economic returns on both the multilateral and regional levels. Trade facilitation is also an integral part of trade agreements and has become an important component of the...
To improve energy-use sustainability in cities, we proposed a set of urban energy performance assessment indicators and influencing factors based on existing theory and literature. An urban energy performance assessment and influencing factor model w...
In recent years, through the implementation of a series of policies, such as the delimitation of major grain producing areas and the construction of advantageous and characteristic agricultural product areas, the spatial distribution of agriculture i...
This study investigates the efficiency of higher education systems across the 27 Member States of the European Union during the period 2017–2022, addressing increasing policy interest in data-driven decision support and optimization techniques...
Parametric and non-parametric frontier applications are typical for measuring the efficiency and productivity of many healthcare units. Due to the current COVID-19 pandemic, hospital efficiency is the center of academic discussions and the most desir...
This study estimates transient and persistent technical efficiencies (TEs) using a generalized true random-effects (GTRE) model. We estimate the GTRE model using maximum likelihood and Bayesian estimation methods, then compare it to three simpler mod...
In a recent paper, Karadima and Louri use frontier-based measures of market power and bank competition in an application to Euro Area banking. The purpose of the present note is to access their paper in a critical way, as there are certain fallacies...
In this paper, we propose the analytical derivations of new specifications for the stochastic frontier (SF) approach. In order to avoid some limitations of the traditional SF method, we introduce dependence between the two error components through co...
5 February 2018
As a major part of farming sustainability, the issues of grain production and its quality improvement have been important in many countries. This paper aims to address these issues in China. Based on the data from the main production provinces and by...
The car manufacturing industry, one of the largest energy consuming industries, has been making a considerable effort to improve its energy intensity by implementing energy efficiency programs, in many cases supported by government research or financ...
This study examines the efficiency of rice production in Thailand, especially major rice, which is the main crop of farmers in all regions of Thailand and is still a pressing issue. Analyzing technical efficiency by using the appropriate analytical t...
In the face of declining water resources and low agricultural water productivity, it is vital to increase agricultural production efficiency and efficiency of water usage. The efficacy of irrigating rice fields in Nigeria is evaluated here using a st...
The challenge of food security in Nigeria hinges on several factors of which poor technical efficiency is key. Using a stochastic frontier framework, we estimated the technical efficiency of agricultural households in Nigeria and tested for the signi...
This paper studies the time-consistent optimal investment and reinsurance problem for mean-variance insurers when considering both stochastic interest rate and stochastic volatility in the financial market. The insurers are allowed to transfer insura...
28 April 2022
As a major carbon-emitting country, there is an urgent need for China to reduce carbon emissions. Studying the carbon emission efficiency of each province helps us to learn about the characteristics and evolution of regional carbon emissions, which i...
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