通讯机构：
[Wenjin Tang] S;School of Economics and Management, Changsha University of Science and Technology, Changsha, China
关键词：
Net interest margin;Non-interest income;Market concentration;African banks;Non-African banks
摘要：
Developing countries are noted for higher interest margins, and banking in Africa has recently witnessed the rise of African regional banks with a Pan-African ambition and the quest to modify the banking landscape. So far, the banking literature has received little attention regarding the determinants of net interest margin (NIM) of commercial banks in Africa, and the empirics across domestic, regional African, and non-African banks has not been studied either. Thus, we fill this lacuna by analyzing the intermediation margins of commercial banks across Africa while detailing the determinants for the three banking groups. We employ annual data of 552 commercial banks for eight years (2011 to 2018) across fifty-two African countries. The results of the study indicate that bank intermediation margin in Africa is a function of pure spread variables (bank concentration, credit risk, risk aversion, interest rate volatility), income from non-traditional banking activities, specialization, other bank-specific (transaction size, operating cost) and macro-economic variables (financial innovation and GDP). The results also suggest that there are some similarities and nuances for the determinants of bank intermediation margins across the domestic, regional African, and non-African banks. The results obtained have significant policy implications for bank regulation and financial sector development.
作者：
He Yingjing;Wu Qiaofeng;Zhang Shujun;Xie Yinjie;Ye Ze;...
期刊：
SHS Web of Conferences,2023年170 ISSN：2416-5182
作者机构：
Economic and Technological Research Institute of State Grid Zhejiang Electric Power Co., LTD., Hangzhou 310002, China;School of Economics and Management, Changsha University of Science & Technology, Changsha 410076, China
关键词：
conference;proceedings;humanities;social
摘要：
The distribution of congestion surplus affects not only the short-term economic interests of stakeholders in the power spot market, but the improvement of social welfare in the long run. At present, the congestion surplus in mature electricity spot markets of developed countries is usually returned to the power users or power generation enterprises according to established proportions. Although this method helps achieve rational distribution of congestion surplus, it does not offer a solution to the congestion problem and cannot achieve maximized social welfare. In light of the principles of welfare economics, we propose in this paper injecting the congestion surplus into the capital pool of the power grid as a transmission line expansion fund to fundamentally solve the power transmission congestion problem. Modeling results and case studies presented in our work verified that our proposed distribution model could achieve Pareto optimization. Finally, combining the power transmission and distribution (PTD) pricing and supervision method, this paper puts forward the method for use and supervision of congestion surplus on the power spot market to reach optimal allocation of resources.
期刊：
Energy Economics,2023年124:106880 ISSN：0140-9883
通讯作者：
Dai, Zhifeng(zhifengdai823@163.com)
作者机构：
[Dai, Zhifeng; Tang, Rui] College of Mathematics and Statistics, Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering, Changsha University of Science and Technology, Hunan, 410114, China;[Zhang, Xiaotong] School of Economics and Management, Changsha University of Science and Technology, Hunan, 410114, China
通讯机构：
[Zhifeng Dai] C;College of Mathematics and Statistics, Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering, Changsha University of Science and Technology, Hunan 410114, China
摘要：
This research examines the effects of financial risk on green innovations by adopting the panel Poisson model for 99 countries. We employ environmental management innovations as a proxy for green innovations and financial risk index as the main explanatory variable, documenting strong evidence that financial risk presents significantly negative impacts on green innovations by decreasing patent applications related to environmental management technologies. Moreover, we conclude that increased financial risk hinders a country's performance of green innovation by restricting foreign direct investment (FDI) inflows and foreign trade. Lastly, financial risk considerably affects the development of green innovation in democracy nations and countries with low political risk, but not in non-democracy countries and countries with high political risk. In light of this, our research should help policymakers in many nations develop workable cur-rency and valuable policies from the perspective of financial risk for enhancing their green innovation level and sustainable development.
期刊：
Energy Science & Engineering,2023年11(1):192-205 ISSN：2050-0505
通讯作者：
Changqing Chen<&wdkj&>Yali Wang<&wdkj&>Changqing Chen Changqing Chen Changqing Chen<&wdkj&>Yali Wang Yali Wang Yali Wang
作者机构：
[Chen, Qing Chang; Huang, Liang Zhi] Hunan City Univ, Coll Elect & Informat Engn, Yiyang, Peoples R China.;[Chen, Qing Chang; Zhou, Kui] Hunan Bridge Technol Co LTD, Changsha, Peoples R China.;[Wang, Yali] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha, Peoples R China.;[Wang, Yali] Changsha Univ Sci & Technol, Changsha 410076, Hunan, Peoples R China.;[Chen, Qing Chang] Hunan City Coll, Yiyang 413000, Hunan, Peoples R China.
通讯机构：
[Changqing Chen; Changqing Chen Changqing Chen Changqing Chen] C;[Yali Wang; Yali Wang Yali Wang Yali Wang] S;College of Electrical and Information Engineering, Hunan City University, Yiyang, China<&wdkj&>Hunan Bridge Technology Co., LTD., Changsha, China<&wdkj&>School of Economics and Management, Changsha University of Science and Technology, Changsha, China
关键词：
energy storage;frequency regulation;model predictive control;recovery of SOC;wind farm
摘要：
To further improve the frequency regulation stability of wind farm, and optimize the state of charge (SOC) basepoint, charge and discharge rate and recovery capacity of energy storage. In an isolated, off-grid state, a two-layer optimization method is proposed, taking into account the frequency regulation reliability and SOC adaptive adjustment of the wind storage. In the upper layer, the model predictive control theory is adopted to optimize the energy-storage frequency regulation output power with the goal of minimizing the wind storage frequency regulation power deviation. While solving the problem of low-frequency regulation reliability of wind farm, the SOC recovery basepoint and frequency regulation power of energy storage are optimized. At the SOC optimization layer, based on the upper SOC recovery basis point, we propose a dynamic recovery method for energy-storage SOC that considers both the SOC recovery demand and grid-bearing capacity, to determine the energy-storage recovery power. By determining the frequency regulation or recovery power, we propose a calculation method to optimize the energy-storage charge and discharge coefficients as per the SOC for avoiding excessive charging and discharging. The simulation results show that, under continuous disturbance, the root-mean-square deviations of the proposed method is 80.13% and 62.63% lower than those of the fixed K and SOC methods, respectively. Furthermore, the proposed method exhibits the best SOC maintenance effect.
期刊：
Technological Forecasting and Social Change,2023年188:122322 ISSN：0040-1625
通讯作者：
Chang, Chun-Ping
作者机构：
[Wen, Jun; Zhao, Xin-Xin] Xi An Jiao Tong Univ, Sch Econ & Finance, Xian, Peoples R China.;[Fu, Qiang] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha, Peoples R China.;[Chang, Chun-Ping] Shih Chien Univ, New Taipei, Taiwan.
通讯机构：
[Chang, Chun-Ping] S;Shih Chien Univ, New Taipei, Taiwan.
关键词：
Extreme weather;Flood;Green innovation
摘要：
This research investigates the effect of extreme weather events on green innovation by using unbalanced panel data covering 117 countries from 1971 to 2018 and documents strong evidence that extreme weather has a significantly negative impact on green innovation. We also find among the four extreme weather events such as droughts, extreme temperature, floods, and storms that floods have the most prominent adverse impact on green innovation. Furthermore, the significantly negative effect of extreme weather is manifested in countries with a high level of corruption and low level of trade openness, but not in the countries with a low level of corruption and a high level of trade openness. Lastly, we show that extreme weather events have an adverse impact on green innovation by decreasing economic growth level, hindering financial development, widening income inequality, damaging the accumulation of human capital, and increasing the political risk.
期刊：
Recent Advances in Electrical & Electronic Engineering,2023年16(6):644-653 ISSN：2352-0965
作者机构：
School of Control and Computer Engineering, North China Electric Power University, Baoding, P.R. China;School of Economics and Management, Changsha University of Science & Technology, Changsha, Hubei, P.R. China;[Qu Hong; Ye Ze] School of Economics and Management, Changsha University of Science & Technology, Changsha, Hubei, P.R. China ;[Weixuan Liang] School of Control and Computer Engineering, North China Electric Power University, Baoding, P.R. China
关键词：
New electricity market;medium and long-term electricity trading;deviation prediction;power generation side;LSTM;multilayer long short memory network.
摘要：
Background: With the large-scale grid connection operation of new or renewable energy and the access of active loads such as electric vehicles and air conditioners, the electric energy trading business in the power market faces problems such as the rapid expansion of the number of market settlement subjects, explosive growth, various subjects responsible for deviation assessment, various electric energy trading methods and so on.<&wdkj&>Objective: This paper focuses on the medium and long-term generation side power trading in the new power market. Through cause analysis, induction and summary, algorithm design and case analysis, the problem of generation side deviation prediction is solved and power waste is reduced.<&wdkj&>Methods: This paper puts forward the reasons for the imbalance of medium and long-term power trading in the new power market dominated by new energy, as well as the deviation prediction algorithm based on multi-layer LSTM, which brings the total historical deviation, total planned deviation, total measurement deviation, new energy consumption and other data into the M-LSTM deep learning network for testing in each provincial power market center.<&wdkj&>Results: We use the neural network prediction algorithm. Compared with a single LSTM, the multi-layer LSTM can better maintain the characteristics of the sample time series and reduce the prediction error. Compared with BPNNM-BPNN and Cooperative game theory, LSTM has a better memory effect.<&wdkj&>Conclusion: The experiment shows that the more accurate prediction deviation of this method can better arrange the generation plan, reduce the loss caused by excessive deviation, reduce the "price trampling" of the power market, and ensure the fair and efficient development of the power market.
摘要：
This research mainly examines the influence of democracy on forest protection by employing an estimation of generalized method of moments (GMM) and data on 111 countries during the period 1991-2018. The empirical results suggest that democracies tend to do better at forest protection, which is supported when we conduct several robustness tests. If the regimes transform from lower democratic to higher democratic, then this is also beneficial for forest protection. Although liberal democracy, electoral democracy, participatory democracy, and deliberative democracy promote forest protection, egalitarian democracy does not bring about the forest pro-tection. Additionally, better control of corruption strengthens the positive effect of democracy on forest pro-tection, while the utilization of renewable energy, trade globalization, and business freedom weaken it. Finally, parliamentary democracies and majoritarian democracies are more likely to protect forests than presidential democracies or proportional democracies.
通讯机构：
[Zhi Wang] C;College of Economic and Management, Changsha University of Science & Technology, No. 960, Sec. 2, Wanjiali South Rd, Tianxin Dist, Changsha City, 410114, Hunan Province, China
关键词：
Confucian culture;Cost of equity capital;Informal system;Information risk;Business risk;Agency problems
摘要：
The cost of equity capital (COEC) is a crucial component of investment decisions and corporate performance evaluations. In the process of corporate financing, an inadequate formal system may lead to the phenomenon of "Bad money drives out good". While Confucian culture can compensate for the deficiency of the formal system by influencing the value orientation of the actors. Therefore, this paper examines the impact of Confucian culture on firms' cost of equity capital (COEC) from an informal institutional perspective. Our study presents robust findings that firms headquartered in areas with strong Confucian culture have lower costs of equity capital, and the marketization process has a moderating effect on the relationship between Confucian culture and the COEC. The impact of Confucian culture on the COEC of firms is mainly achieved through three ways: reducing information risk, reducing business risk and mitigating agency problems. Further, foreign cultural shocks will weaken the relationship between Confucian culture and the COEC. These results remain robust after controlling for the endogeneity problem. This study indicates that Confucian culture, as an invisible complementary governance mechanism of the formal system, plays an important and positive role in "reducing the COEC".
