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001-es BibID:BIBFORM091816
035-os BibID:(cikkazonosító)365 (WoS)000621967700001 (Scopus)85107488854
Első szerző:Guang Ji, Tong
Cím:Marginal Trade-Offs for Improved Agro-Ecological Efficiency Using Data Envelopment Analysis / Tong Guang Ji, Ali Raza, Usman Akbar, Masood Ahmed, József Popp, Judit Oláh
Dátum:2021
ISSN:2073-4395
Megjegyzések:Today's agricultural management decisions impact food security and sustainable ecosystems, even when operating with back-to-basic operations. In such endeavors, policymakers usually need a quantitative tool, such as trade-offs margins, to effectively adjust resource consumption or production. This paper applies the weighted slack-based measurement (SBM-DEA) program to 136 developing countries' agricultural performance. First, it finds the current agricultural efficiency and then makes marginal trade-offs on desirable-output variables (such as crop yield and forest area) to see the effective changes in undesirable-output (such as methane and nitrous oxide emissions). The results show that choosing effective marginal trade-offs does not deteriorate the relative efficiency of the decision-making units (DMUs) below the efficient frontier line. Thus, such a method enables the decision-makers to determine the best marginal trade-off points to reach the optimal efficiencies and decide which output factor needs special brainstorming to design effective policy.
Tárgyszavak:Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Agronomy-Basel. - 11 : 2 (2021), p. 1-33. -
További szerzők:Raza, Ali Akbar, Usman Ahmed, Masood Popp József (1955-) (közgazdász) Oláh Judit (1973-) (agrárközgazdász, logisztika)
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2.

001-es BibID:BIBFORM087328
035-os BibID:(cikkazonosító)6155 (Scopus)85089363144 (WOS)000559103100001
Első szerző:Hao, Jiajia
Cím:The Influence of the Knowledge-Based Network Structure Hole on Enterprise Innovation Performance: The Threshold Effect of R&D Investment Intensity / Jiajia Hao, Chunling Li, Runsen Yuan, Masood Ahmed, Muhammad Asif Khan, Judit Oláh
Dátum:2020
ISSN:2071-1050
Megjegyzések:The purpose of innovation is to consume fewer natural resources in order to create sustainable performance; therefore, innovation can ease the pressure of the ecological load and promote the sustainable development of the economy. Taking the 269 enterprises listed on the main board of the electronic information industry from 2010 to 2019 as samples, using the threshold panel data model, the nonlinear relationship between the knowledge-based network structure hole and the short-term and long-term innovation performance of the enterprises were studied, and the threshold e ect of R&D investment intensity was discussed. When the R&D investment intensity is from 1.96% to 15.96%, the knowledge-based network structure hole has a significant positive impact on short-term innovation performance. When the R&D investment intensity is from 5.72% to 10.64%, the knowledge-based network structure hole has a significant positive e ect on long-term innovation performance. Lower R&D investment intensity can make the knowledge-based network structure hole promote the increase of short term innovation performance, but to make the knowledge-based network structure hole have a positive impact on long term innovation performance, the R&D investment intensity should be increased by more than 5.72%. When R&D investment intensity is not higher than 15.96%, the knowledge-based network structure hole has a significant positive impact on short term innovation performance, but to make the knowledge-based network structure hole maintain the positive e ect on long term innovation performance, R&D investment intensity should not exceed 10.64%. Therefore, enterprises should be guided to optimize the knowledge-based network structure according to the R&D investment intensity in order to improve the short term and long-term innovation performance of an enterprise. These research results can help enterprises to save resources and promote the sustainable development of the economy.
Tárgyszavak:Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Sustainability. - 12 : 15 (2020), p. 1-17. -
További szerzők:Li, Chunling Yuan, Runsen Ahmed, Masood Khan, Muhammad Asif (1976-) (közgazdász) Oláh Judit (1973-) (agrárközgazdász, logisztika)
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3.

001-es BibID:BIBFORM109996
Első szerző:Khan, Muhammad Asif (közgazdász)
Cím:US Policy Uncertainty and Stock Market Nexus Revisited through Dynamic ARDL Simulation and Threshold Modelling : Reprinted from: Mathematics 2020, 8, 2073, doi:10.3390/math8112073 / Muhammad Asif Khan, Masood Ahmed, József Popp, Judit Oláh
Dátum:2021
Megjelenés:Utánközlés / Párhuzamos közlés
Megjegyzések:Since the introduction of the measure of economic policy uncertainty, businesses, policymakers, and academic scholars closely monitor its momentum due to expected economic implications. The US is the world's top-ranked equity market by size, and prior literature on policy uncertainty and stock prices for the US is conflicting. In this study, we reexamine the policy uncertainty and stock price nexus from the US perspective, using a novel dynamically simulated autoregressive distributed lag setting introduced in 2018, which appears superior to traditional models. The empirical findings document a negative response of stock prices to 10% positive/negative shock in policy uncertainty in the short-run, while in the long-run, an increase in policy uncertainty by 10% reduces the stock prices, which increases in response to a decrease with the same magnitude. Moreover, we empirically identified two significant thresholds: (1) policy score of 4.89 (original score 132.39), which negatively explain stock prices with high magnitude, and (2) policy score 4.48 (original score 87.98), which explains stock prices negatively with a relatively low magnitude, and interestingly, policy changes below the second threshold become irrelevant to explain stock prices in the United States. It is worth noting that all indices are not equally exposed to unfavorable policy changes. The overall findings are robust to the alternative measures of policy uncertainty and stock prices and o er useful policy input. The limitations of the study and future line of research are also highlighted. All in all, the policy uncertainty is an indicator that shall remain ever-important due to its nature and implication on the various sectors of the economy (the equity market in particular).
Khan, iMuhammad Asif (1976-) (közgazdász): US Policy Uncertainty and Stock Market Nexus Revisited through Dynamic ARDL Simulation and Threshold Modelling
ISBN:978-3-0365-0196-3
Tárgyszavak:Társadalomtudományok Közgazdaságtudományok könyvfejezet
könyvrészlet
policy uncertainty
stock prices
dynamically simulated autoregressive distributed lag (DYS-ARDL)
threshold regression
United States
Megjelenés:Quantitative Methods for Economics and Finance / szerk. J.E. Trinidad-Segovia, Miguel Ángel Sánchez-Granero. - p. 1-20. -
További szerzők:Ahmed, Masood Popp József (1955-) (közgazdász) Oláh Judit (1973-) (agrárközgazdász, logisztika)
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4.

001-es BibID:BIBFORM089347
035-os BibID:(WoS)000593271800001 (Scopus)85096476418
Első szerző:Khan, Muhammad Asif (közgazdász)
Cím:US Policy Uncertainty and Stock Market Nexus Revisited through Dynamic ARDL Simulation and Threshold Modelling / Muhammad Asif Khan, Masood Ahmed, József Popp, Judit Oláh
Dátum:2020
ISSN:2227-7390
Megjegyzések:Since the introduction of the measure of economic policy uncertainty, businesses, policymakers, and academic scholars closely monitor its momentum due to expected economic implications. The US is the world's top-ranked equity market by size, and prior literature on policy uncertainty and stock prices for the US is conflicting. In this study, we reexamine the policy uncertainty and stock price nexus from the US perspective, using a novel dynamically simulated autoregressive distributed lag setting introduced in 2018, which appears superior to traditional models. The empirical findings document a negative response of stock prices to 10% positive/negative shock in policy uncertainty in the short-run, while in the long-run, an increase in policy uncertainty by 10% reduces the stock prices, which increases in response to a decrease with the same magnitude. Moreover, we empirically identified two significant thresholds: (1) policy score of 4.89 (original score 132.39), which negatively explain stock prices with high magnitude, and (2) policy score 4.48 (original score 87.98), which explains stock prices negatively with a relatively low magnitude, and interestingly, policy changes below the second threshold become irrelevant to explain stock prices in the United States. It is worth noting that all indices are not equally exposed to unfavorable policy changes. The overall findings are robust to the alternative measures of policy uncertainty and stock prices and o er useful policy input. The limitations of the study and future line of research are also highlighted. All in all, the policy uncertainty is an indicator that shall remain ever-important due to its nature and implication on the various sectors of the economy (the equity market in particular).
Khan, Asif Muhammad (1976-) (közgazdász): US Policy Uncertainty and Stock Market Nexus Revisited through Dynamic ARDL Simulation and Threshold Modelling : Reprinted from: Mathematics 2020, 8, 2073, doi:10.3390/math8112073
Tárgyszavak:Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Mathematics. - 8 : 11 (2020), p. 1-20. -
További szerzők:Ahmed, Masood Popp József (1955-) (közgazdász) Oláh Judit (1973-) (agrárközgazdász, logisztika)
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
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