Estimation and efficiency evaluation of stochastic frontier models with interval dependent variables

Hwu, Shih-Tang; Fu, Tsu‐Tan; Tsay, Wen-Jen

doi:10.1007/s11123-021-00609-w

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…On the other hand, the parameter method is represented by the stochastic frontier analysis method (SFA) [12,13]. Compared with DEA, SFA incorporates the classical white noise, and fully considers the in uence of random factors, describes the production front through the production function parameter method, and decomposes the residual term into random error and ine cient parts, which has the advantage of identifying random factors, due to the need to set the model in advance, the model setting directly affects the accuracy of the measurement [14,15].Because these factors are consistent with the essential characteristics of agricultural production, the robustness of agricultural productivity estimates is better than that of DEA estimates.…”

Section: Introductionmentioning

confidence: 99%

The Influencing Factors of Global Agricultural Production Efficiency and International Comparison Analysis

Wang

Zhang

2023

Preprint

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Based on the panel data of agricultural input and output of 86 countries from 1981 to 2016, the study constructs the trans-logarithmic production function model to estimate the global agricultural production efficiency and its influencing factors. The results show that the current global average agricultural efficiency loss of about 57.9%. There is a big gap in agricultural production efficiency between countries of different income levels, and the higher the income levels, the higher the agricultural efficiency. The improvement of agricultural irrigation facilities, human capital level, agricultural industrial structure and agricultural R&D input may exert significant positive effects on agricultural production efficiency.

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Section: Introductionmentioning

confidence: 99%

The Influencing Factors of Global Agricultural Production Efficiency and International Comparison Analysis

Wang

Zhang

2023

Preprint

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Carbon emission constraint: A catalyst for the shift from real economy to financialization?

Liu

2024

Manage Decis Econ

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The goals of carbon peak and carbon neutrality have gained significant attention in China. Carbon‐intensive corporates are tasked with decoupling economic growth from carbon emissions. This research examines their potential for financialization based on the compulsory fulfillment requirement of carbon emission allowances and the emission‐free characteristics of financial assets. This research finds that carbon emission policy significantly promotes corporates to allocate more capital toward business operations in the real economy. It leads to an increase in capacity utilization efficiency and profitability for the main business. The findings support that the policy has a positive impact on the real economy.

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Synergistic development path of conventional and unconventional water in China: From the perspectives of output and substitution elasticities

Feng,

Wu,

Zhang

et al. 2024

Journal of Cleaner Production

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Estimation and efficiency evaluation of stochastic frontier models with interval dependent variables

Cited by 3 publications

References 17 publications

The Influencing Factors of Global Agricultural Production Efficiency and International Comparison Analysis

The Influencing Factors of Global Agricultural Production Efficiency and International Comparison Analysis

Carbon emission constraint: A catalyst for the shift from real economy to financialization?

Synergistic development path of conventional and unconventional water in China: From the perspectives of output and substitution elasticities

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