作者:
Yan, Yixin;Hu, Jiliang;Chen, Xiding;Kumar, A. P. Senthil
期刊:
Mathematical Problems in Engineering,2022年2022 ISSN:1024-123X
通讯作者:
Hu, J.
作者机构:
[Hu, Jiliang; Yan, Yixin] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.;[Chen, Xiding] Wenzhou Business Coll, Sch Finance & Trade, Wenzhou, Peoples R China.;[Kumar, A. P. Senthil] Jigjiga Univ, Sch Social Work, Jigjiga, Somali Reg Stat, Ethiopia.
通讯机构:
School of Economics and Business Administration, Central China Normal University, Wuhan, China
摘要:
Traditionally, economic data of power supply is often analyzed through the count regression model due to the type of empirical data in the decision-making process. However, in reality, it is difficult to use count data model for data with autoregressive features. The main reason is that the time series features and autoregressive attributes cannot be controlled through the count regression model, which violates the assumptions set by the model. Therefore, there may be errors in the empirical analysis results. This letter firstly describes the characteristic of the count regression model and the problem, and then we refine the multiplicative autoregressive count model for dynamic count data. The model has desirable theoretical properties and is trivial to incorporate into existing models for the count data. In this study, the multiplicative autoregressive counting model for dynamic counting data is improved. The model has ideal theoretical properties and can be easily incorporated into existing economic models of counting data, especially for power supply policy analyses.
期刊:
Journal of Mathematics,2022年2022 ISSN:2314-4629
作者机构:
[Ding, Weibin] State Grid Zhejiang Elect Power Co Ltd, Hangzhou 310012, Peoples R China.;[Li, Jie] Jinhua Power Supply Co State Grid Zhejiang Elect P, Jinhua 321000, Peoples R China.;[Jin, Dian; Kong, Jiayang] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.;[Jin, Dian; Kong, Jiayang] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.;[Kong, Jiayang] Cent China Normal Univ, Res Ctr Low Carbon Econ & Environm Pol, Wuhan 430079, Peoples R China.
摘要:
Researcher and analyst are often interested in estimating the effect of an intervention or treatment, which takes place at the aggregate level and affect one single unit, such as country and region. Thus, comparative case studies would be their first choice in practice. However, comparative case studies could fail to yield an estimate in the effect that is unbiased and consistent, as in some contexts; there are not suitable control units that are similar to the treated. The econometric literature has taken synthetic control methods and panel data approaches to this problem. In this study, we developed a principal covariate regression estimator, which exploits the cross-sectional correlation, as well as the temporal dependency, to reproduce the dynamics of the treated in the absence of an event or policy. From a theoretical perspective, we introduce the statistical literature on dimensional reduction to make a causal inference. From a technique perspective, we combine the vertical regression and the horizontal regression. We constructed an annual panel of 38 states, to evaluate the effect of Proposition 99 on beer sales in California, using the principal covariate regression estimator proposed here. We find that California’s tobacco control program had a significant negative and robust effect on local beer consumption, suggesting that policymakers could reduce the use of cigarette and alcohol in the public using one common behavioral intervention.
摘要:
Improving energy efficiency and lowering carbon emissions are of great importance to realize the "dual carbon" goal of carbon peak and carbon neutrality. Digital economy is a new engine of economic development, but whether or how it affects energy efficiency and carbon emissions are unclear. Utilizing panel data of China's 30 provinces from 2012 to 2019, this study empirically explores the relationships among digital economy, energy efficiency, and carbon emissions. Meanwhile, from the perspective of energy efficiency, applying mediation models and panel threshold model, it analyzes the direct, indirect, and nonlinear influencing mechanisms of digital economy on carbon emissions. The results reflect that the development of digital economy in China intensifies carbon emissions. Energy efficiency serves as a vital partial mediator between the two. The enhancement of energy efficiency can lower carbon emissions. However, the development of digital economy is not conducive to improving energy efficiency, thereby, indirectly increasing carbon emissions. The mediating effect of energy efficiency accounts for 30.58 % of the total effect of digital economy on carbon emissions. Meanwhile, taking energy efficiency into account, the impact of digital economy on carbon emissions has a significant double-threshold effect and presents an N-shaped trend. [0.824, 0.912] is the optimal range of energy efficiency, within which the growth of the digital economy can empower carbon emission abatement to some extent. In addition, the expansion of population size, the coal-based energy consumption structure, and the industrial structure significantly increase carbon emissions. The improvements in living standards and environmental regulations can help to decrease carbon emissions, but the emission abatement effects are not significant. Those conclusions reveal the importance of optimizing the level and quality of digital economy and adopting differentiated digital economy development policies based on energy efficiency to achieve carbon emission reduction.
期刊:
International Journal of Environmental Research and Public Health,2022年19(14) ISSN:1661-7827
通讯作者:
Yuanfang Zhan
作者机构:
[Han, Shaoqin] Wuhan Univ Technol, Sch Entrepreneurship, Wuhan 430070, Peoples R China.;[Zhan, Yuanfang] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430070, Peoples R China.;[Zhang, Lu; Mu, Renyan] Wuhan Univ Technol, Sch Management, Wuhan 430070, Peoples R China.
通讯机构:
[Yuanfang Zhan] S;School of Economics and Business Administration, Central China Normal University, Wuhan 430070, China
关键词:
upward social comparison of received help;envy;interpersonal citizenship behavior;social comparison orientation
摘要:
Abstract: In the current research, we developed and tested a model of how and when upward social comparison of received help influenced an employee’s interpersonal citizenship behavior. Based on social comparison theory, we posited that upward social comparison of received help triggered an employee’s feelings of envy, which in turn had a negative relationship with interpersonal citizenship behavior (ICB). Further, we argued that the effects of upward social comparison of received help on envy differed in the employee’s social comparison orientation. Using data collected in three waves from 411 employees in China, we found that upward social comparison of received help was positively associated with the employee’s feelings of envy while controlling for overall receiving help, which further negatively affected interpersonal citizenship behavior. Moreover, the relationship between the upward social comparison of received help and the employee’s feelings of envy was stronger when employees had high levels of social comparison orientation and further strengthened the indirect relationship between the upward social comparison of received help and the employee’s ICB via envy. Overall, these findings have the potential to extend our knowledge of the adverse effects of receiving help in a team by introducing a social comparison perspective. Keywords: upward social comparison of received help; envy; interpersonal citizenship behavior; social comparison orientation
期刊:
Indoor and Built Environment,2022年32(8):1523-1536 ISSN:1420-326X
通讯作者:
Liu, ZX
作者机构:
[Zhao, Li; Wei, Wei] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.;[Liu, ZhongXing] Cent China Normal Univ, Inst Adv Studies Humanities & Social Sci, Luoyu Rd 152, Wuhan, Peoples R China.
通讯机构:
[Liu, ZX ] C;Cent China Normal Univ, Inst Adv Studies Humanities & Social Sci, Luoyu Rd 152, Wuhan, Peoples R China.
关键词:
Industrial agglomeration;energy consumption intensity;firm heterogeneity;low-carbon development
摘要:
The fractional grey model and its deformation forms have been appealed interest of research in practice due to its strong adaptability by merits of falling from the integer-order form into the fractional. This paper proposes an optimised time power-based grey model by the introduction of conformable fractional derivative into the conventional model. As a result, a newly-designed approach, namely the time power-based grey model with conformable fractional derivative (referred to as CFGM( phi, 1 , t alpha)), is proposed thereby. Specifically, the model establishment, system parameter estimation and explicit expression are comprehensively implemented. In particular, several properties for the proposed approach are emphasized to interpret the superiority of the newly-designed model from a theoretical analysis perspective. The particle swarm optimization technique is then employed to determine the emerging coefficients such as the order of the conformable fractional derivative and time-power coefficient. Finally, four real-world cases are chosen to certify the applicability of the proposed model in contrast with other benchmark models and, the empirical results show that the newly-designed model outperforms other competing models, thus obtaining some managerial insights from these numerical experiments.(c) 2021 Elsevier Ltd. All rights reserved.
摘要:
The complexity and uncertainty of the financial market mainly stem from the rich market internal transaction information and a wide range effect of external factors. To this end, this paper proposes the combination factors-driven forecasting method to predict realized volatilities of the CSI 300 index and index futures. Based on the volatilities predicted by the proposed method, we further evaluate the ex-ante hedging performance in comparison to the conventional HAR model as well as GARCH-type models. The empirical results indicate that the factors-driven realized volatility model significantly dominates the other commonly used models in terms of hedging effectiveness. Furthermore, the superiority of the proposed method is robust in different market conditions, including significant rising or falling and abnormal market fluctuations in the COVID-19 pandemic, and in different index markets. Therefore, this paper improves the prediction accuracy of volatility by integrating market internal transaction information and external factor information, and the proposed method in this paper can be used by investors to obtain an excellent hedging effect.
期刊:
Journal of Product and Brand Management,2022年32(6):789-798 ISSN:1061-0421
作者机构:
[Xie, Zhipeng] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.;[Zhao, Jing; Wang, Tao] Wuhan Univ, Econ & Management Sch, Wuhan, Peoples R China.;[Qin, Huanyu] Univ Sci & Technol China, Sch Management, Hefei, Peoples R China.
关键词:
Letter shape;Cuteness;Brand relationship;Cognitive priming
摘要:
PurposeThis study aims to test the possible correlation between the letter height-to-width ratio and consumers' perception of cuteness. Design/methodology/approachThrough the design of three groups of experimental questionnaires, this paper carried out experiments on subjects with different professional backgrounds. FindingsThe result shows that perceived cuteness is only beneficial for consumers who adopt communal relationship (rather than exchange relationship) with the brand. Compared to consumers who adopt communal relationship with brands, letters of lower height-to-width ratio are perceived as cuter and thus more preferable than thinner ones, whereas for consumers who adopt exchange relationship with brands, thinner letters are preferred. Research limitations/implicationsTo rule out interference, this study focuses only on the height-to-width ratio of the letters. In the future, researchers can pay more attention to the mobility of brand relationships, consumers' reading strategy and logos' visual elements that influence consumers' brand perception (besides height-to-width ratio). Practical implicationsThe research reminds scholars that the height-to-width ratio of letters/logos is not only of aesthetic value but also imposes a great impact on consumer perception. And the result of this research explains the contradiction in consumers' preference for wide vs thin letter shapes and provides evidence for the interaction between brand relationship norms and letter preferences. Originality/valueTo the best of the authors' knowledge, this research is the first to explore the influence of letter height-to-width ratio in marketing.
期刊:
OXFORD BULLETIN OF ECONOMICS AND STATISTICS,2022年84(2):300-333 ISSN:0305-9049
通讯作者:
Zhao, Qing
作者机构:
[Xiang, Jingjie] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.;[Guo, Gangzheng] China Construct Bank, Int Inst, Beijing, Peoples R China.;[Guo, Gangzheng] Tsinghua Univ, Sch Econ & Management, Beijing, Peoples R China.;[Zhao, Qing] Dongbei Univ Finance & Econ, Sch Finance, Dalian, Peoples R China.
摘要:
This paper studies large sample properties of a moderately explosive autoregression with a structural change in the unobservable drift term, and develops asymptotic tests for the null of moderate explosiveness under different dependence structures. When the innovation sequence is independently and identically distributed (i.i.d.), we show that the t statistic is asymptotically standard normal. When the innovations are weakly dependent in the form of homoskedasticity or conditional heteroskedasticity, we invoke the fixed-smoothing asymptotics to construct the heteroskedasticity and autocorrelation robust standard error, under which the t statistic follows Student's t distribution in large samples. Monte Carlo simulations show that our tests have small size distortion and high power in finite samples. As we impose no restrictions on the occurrence time and magnitude of the drift, our proposed asymptotic tests enjoy strong robustness and applicability.