数字时代已至,数字化变革正重塑公共资源交易行业核心竞争力的底层逻辑。为实现高效管理运营、充分开发行业数据资源,数据资产入表已成为必然趋势。然而,随着市场化改革持续深化与国务院国有资产监督管理委员会“一利五率”[一利:利润总...数字时代已至,数字化变革正重塑公共资源交易行业核心竞争力的底层逻辑。为实现高效管理运营、充分开发行业数据资源,数据资产入表已成为必然趋势。然而,随着市场化改革持续深化与国务院国有资产监督管理委员会“一利五率”[一利:利润总额;五率:资产负债率、净资产收益率、研发经费投入强度(以研发经费支出占营业收入的比率衡量)、全员劳动生产率、营业收现率]考核体系的建立,企业运营的公共资源交易中心将面临ROA(Return on Assets,资产收益率)财务指标考核压力。数据资产入表可能通过资产端与收益端的双重作用,对其施加深远影响。在公共资源交易机构企业化改制与数据要素市场化改革形成历史性交汇的关键时期,唯有精准把握数据资产入表对财务考核指标的作用机制,才能实现公共服务职能与市场化考核要求的动态平衡,为全行业深化改革提供可推广的有效经验。展开更多
This study explores the impact of board diversity on firm performance,with a focus on companies listed on the Singapore Stock Exchange(SGX).Board diversity is examined across various dimensions,including gender,age,et...This study explores the impact of board diversity on firm performance,with a focus on companies listed on the Singapore Stock Exchange(SGX).Board diversity is examined across various dimensions,including gender,age,ethnicity,and professional background,to understand its relationship with key performance indicators such as Return on Assets(ROA)and Return on Equity(ROE).Using a quantitative research approach,the study analyzes data from 90 publicly listed firms,employing descriptive statistics,correlation analysis,and multiple regression techniques.The findings reveal that the direct correlation between board diversity and financial performance,particularly in terms of ROA and ROE,is not statistically significant in the studied sample.Despite the lack of direct significance,the research underscores the nuanced and multifaceted role of diversity in corporate governance,suggesting that its impact may be more complex and influenced by various contextual factors.The study concludes by recommending that companies continue to enhance gender diversity,balance age structures,tailor professional backgrounds to industry needs,and manage board tenure effectively to optimize corporate governance and support sustainable growth.展开更多
Uncertainty in determining optimum conjunctive water use lies not only on variability of hydrological cycle and climate but also on lack of adequate data and perfect knowledge about groundwater-surface water system in...Uncertainty in determining optimum conjunctive water use lies not only on variability of hydrological cycle and climate but also on lack of adequate data and perfect knowledge about groundwater-surface water system interactions, errors in historic data and inherent variability of system parameters both in space and time. Simulation-optimization models are used for conjunctive water use management under uncertain conditions. However, direct application of such approach whereby all realizations are considered at every-iteration of the optimization process leads to a highly computational time-consuming optimization problem as the number of realizations increases. Hence, this study proposes a novel approach—a Retrospective Optimization Approximation (ROA) approach. In this approach, a simulation model was used to determine aquifer system responses (draw-downs) which were assembled as response matrices and incorporated in the optimization model (procedure) as coefficients in the constraints. The sample optimization sub-problems generated, were solved and analyzed through ROA-Active-Set procedure implemented under MATLAB code. The ROA-Active Set procedure solves and evaluates a sequence of sample path optimization sub-problems in an increasing number of realizations. The methodology was applied to a real-world conjunctive water use management problem found in Great Letaba River basin, South Africa. In the River basin, surface water source contributes 87% of the existing un-optimized total conjunctive water use withdrawal rate (6512.04 m<sup>3</sup>/day) and the remaining 13% is contributed by groundwater source. Through ROA approach, results indicate that the optimum percentages contribution of the surface and subsurface sources to the total water demand are 58% and 42% respectively. This implies that the existing percentage contribution can be increased or reduced by ±29% that is groundwater source can be increased by 29% while the surface water source contribution can be reduced by 29%. This reveals that the existing conjunctive water use practice is unsustainable wherein surface water system is overstressed while groundwater system is under-utilized. Through k-means sampling technique ROA-Active Set procedure was able to attain a converged maximum expected total optimum conjunctive water use withdrawal rate of 4.35 × 10<sup>4</sup> m<sup>3</sup>/day within a relatively few numbers of iterations (6 to 8 iterations) in about 2.30 Hrs. In conclusion, results demonstrated that ROA approach is capable of managing real-world regional aquifers sustainable conjunctive water use practice under hydro-geological uncertainty conditions.展开更多
Reserve estimation is a key to find the correct NPV in a mining project. The most important factor in reserve estimation is the metal price. Metal price fluctuations in recent years were exaggerated, and imposed a hig...Reserve estimation is a key to find the correct NPV in a mining project. The most important factor in reserve estimation is the metal price. Metal price fluctuations in recent years were exaggerated, and imposed a high degree of uncertainty to the reserve estimation, and in consequence to the whole mine planning procedure. Real option approach is an efficient method of decision making in the uncertain conditions. This approach has been used for evaluation of defined natural resources projects until now. This study considering the metal price uncertainty used real option approach to prepare a methodology for reserve estimation in open pit mines. This study was done on a copper cylindrical deposit, but the achieved methodology can be adjusted for all kinds of deposits. This methodology was comprehensively described through the examples in such a manner that can be used by the mine planners.展开更多
文摘数字时代已至,数字化变革正重塑公共资源交易行业核心竞争力的底层逻辑。为实现高效管理运营、充分开发行业数据资源,数据资产入表已成为必然趋势。然而,随着市场化改革持续深化与国务院国有资产监督管理委员会“一利五率”[一利:利润总额;五率:资产负债率、净资产收益率、研发经费投入强度(以研发经费支出占营业收入的比率衡量)、全员劳动生产率、营业收现率]考核体系的建立,企业运营的公共资源交易中心将面临ROA(Return on Assets,资产收益率)财务指标考核压力。数据资产入表可能通过资产端与收益端的双重作用,对其施加深远影响。在公共资源交易机构企业化改制与数据要素市场化改革形成历史性交汇的关键时期,唯有精准把握数据资产入表对财务考核指标的作用机制,才能实现公共服务职能与市场化考核要求的动态平衡,为全行业深化改革提供可推广的有效经验。
文摘This study explores the impact of board diversity on firm performance,with a focus on companies listed on the Singapore Stock Exchange(SGX).Board diversity is examined across various dimensions,including gender,age,ethnicity,and professional background,to understand its relationship with key performance indicators such as Return on Assets(ROA)and Return on Equity(ROE).Using a quantitative research approach,the study analyzes data from 90 publicly listed firms,employing descriptive statistics,correlation analysis,and multiple regression techniques.The findings reveal that the direct correlation between board diversity and financial performance,particularly in terms of ROA and ROE,is not statistically significant in the studied sample.Despite the lack of direct significance,the research underscores the nuanced and multifaceted role of diversity in corporate governance,suggesting that its impact may be more complex and influenced by various contextual factors.The study concludes by recommending that companies continue to enhance gender diversity,balance age structures,tailor professional backgrounds to industry needs,and manage board tenure effectively to optimize corporate governance and support sustainable growth.
文摘Uncertainty in determining optimum conjunctive water use lies not only on variability of hydrological cycle and climate but also on lack of adequate data and perfect knowledge about groundwater-surface water system interactions, errors in historic data and inherent variability of system parameters both in space and time. Simulation-optimization models are used for conjunctive water use management under uncertain conditions. However, direct application of such approach whereby all realizations are considered at every-iteration of the optimization process leads to a highly computational time-consuming optimization problem as the number of realizations increases. Hence, this study proposes a novel approach—a Retrospective Optimization Approximation (ROA) approach. In this approach, a simulation model was used to determine aquifer system responses (draw-downs) which were assembled as response matrices and incorporated in the optimization model (procedure) as coefficients in the constraints. The sample optimization sub-problems generated, were solved and analyzed through ROA-Active-Set procedure implemented under MATLAB code. The ROA-Active Set procedure solves and evaluates a sequence of sample path optimization sub-problems in an increasing number of realizations. The methodology was applied to a real-world conjunctive water use management problem found in Great Letaba River basin, South Africa. In the River basin, surface water source contributes 87% of the existing un-optimized total conjunctive water use withdrawal rate (6512.04 m<sup>3</sup>/day) and the remaining 13% is contributed by groundwater source. Through ROA approach, results indicate that the optimum percentages contribution of the surface and subsurface sources to the total water demand are 58% and 42% respectively. This implies that the existing percentage contribution can be increased or reduced by ±29% that is groundwater source can be increased by 29% while the surface water source contribution can be reduced by 29%. This reveals that the existing conjunctive water use practice is unsustainable wherein surface water system is overstressed while groundwater system is under-utilized. Through k-means sampling technique ROA-Active Set procedure was able to attain a converged maximum expected total optimum conjunctive water use withdrawal rate of 4.35 × 10<sup>4</sup> m<sup>3</sup>/day within a relatively few numbers of iterations (6 to 8 iterations) in about 2.30 Hrs. In conclusion, results demonstrated that ROA approach is capable of managing real-world regional aquifers sustainable conjunctive water use practice under hydro-geological uncertainty conditions.
文摘Reserve estimation is a key to find the correct NPV in a mining project. The most important factor in reserve estimation is the metal price. Metal price fluctuations in recent years were exaggerated, and imposed a high degree of uncertainty to the reserve estimation, and in consequence to the whole mine planning procedure. Real option approach is an efficient method of decision making in the uncertain conditions. This approach has been used for evaluation of defined natural resources projects until now. This study considering the metal price uncertainty used real option approach to prepare a methodology for reserve estimation in open pit mines. This study was done on a copper cylindrical deposit, but the achieved methodology can be adjusted for all kinds of deposits. This methodology was comprehensively described through the examples in such a manner that can be used by the mine planners.
