Time-varying pricing may increase total electricity consumption: Evidence from Costa Rica

We study the implementation of a time-varying pricing (TVP) program by a major electricity utility in Costa Rica. Because of particular features of the data, we use recently developed understanding of the two-way fixed effects differences-in-differences estimator along with event-study specifications to interpret our results. Similar to previous research, we find that the program reduces consumption during peak-hours. However, in contrast with previous research, we find that the program increases total consumption. With a stylized economic model, we show how these seemingly conflicted results may not be at odds. The key element of the model is that previous research used data from rich countries, in which the use of heating and cooling devices drives electricity consumption, but we use data from a tropical middle-income country, where very few households have heating or cooling devices. Since there is not much room for technological changes (which might reduce consumption at all times), behavioral changes to reduce consumption during peak hours are not enough to offset the increased consumption during off-peak hours (when electricity is cheaper). Our results serve as a cautionary piece of evidence for policy makers interested in reducing consumption during peak hours—the goal can potentially be achieved with TVP, but the cost is increased total consumption     

Mitigating panic buying behavior in the epidemic: An evolutionary game perspective

The panic buying behavior under public health emergencies will lead to many adverse consequences, such as material waste, price fluctuation and uneven distribution of epidemic prevention materials, which will pose a threat to the social stability and economic development. In this paper, we construct a tripartite game model to explore the strategic choices of the public, merchants and the government in order to effectively respond to the panic buying behavior in the epidemic. The results demonstrate that: (1) Eight evolutionary stable strategies emerge in the panic buying events. The worst scenario can be improved by adjusting some relevant parameters. (2) The probability of the public choosing the strategy of “not involving in panic buying” depends on the potential benefits and losses of snapping up, rather than the extent of price rising. (3) The probability of merchants choosing the strategy of “not bid up price” depends on the intangible benefits. (4) The probability of the government choosing the strategy of “active supervision” depends on the supervision costs and government credibility, rather than the amount of fines. In addition, strategic suggestions to mitigate panic buying behavior are put forward from the perspective of each stakeholder.     

Does local government competition aggravate haze pollution? A new perspective of factor market distortion

Haze pollution has become a new threat to China's sustainable development, but it may be that local government behaviour can play an important role in the prevention and control of pollutants. A dynamic spatial autoregressive (SAR) model is used to study the relationship between local government competition and haze pollution. To further explore the indirect impact of factor market distortion on haze pollution and control potential endogeneity problems, a newly developed intermediary effect model that incorporates the characteristics of the generalized method of moments (GMM) is utilized to explore how factor market distortion indirectly affects haze pollution. The research results show that regional haze pollution in China is characterized by significant spatial correlation, and local government competition has a positive impact on haze pollution; that is, local government competition exacerbates haze pollution. In general, local government competition not only directly leads to an increase in haze pollution but also further intensifies it by distorting the local factor market, and the intermediary role of factor market distortion is approximately 7.04%. The results of the regional inspection found that competition among local governments in the eastern region did not lead to haze pollution, and distortion of the factor market did not exist as an intermediary effect. However, both direct and intermediary effects are significant in the central and western regions. Therefore, an official performance appraisal system that includes ecological constraints should be established to guide the benign transformation of local government competition, and an environmental management mechanism must be developed for joint prevention and control to reduce haze pollution. In addition, the free flow of factors and marketization are equally important.     

高技术企业多元化战略对创新持续性的影响——动态能力的调节作用

基于资源基础理论和持续创新内生机制，利用435家高技术企业2010—2018年面板数据，对多元化战略对高技术企业创新持续性的影响进行探究。结果表明，产品多元化与创新持续性呈正U型关系，技术多元化对创新持续性具有正向促进作用，产品多元化与技术多元化协同效应对创新持续性具有负向影响；动态能力强化了产品多元化与创新持续性之间的正U型关系，并正向调节技术多元化与创新持续性之间的关系。在动态能力调节作用下，高技术企业产品多元化与技术多元化协同效应对创新持续性具有正向影响。     

Factor extraction using Kalman filter and smoothing: This is not just another survey

Dynamic factor models have been the main “big data” tool used by empirical macroeconomists during the last 30 years. In this context, Kalman filter and smoothing (KFS) procedures can cope with missing data, mixed frequency data, time-varying parameters, non-linearities, non-stationarity, and many other characteristics often observed in real systems of economic variables. The main contribution of this paper is to provide a comprehensive updated summary of the literature on latent common factors extracted using KFS procedures in the context of dynamic factor models, pointing out their potential limitations. Signal extraction and parameter estimation issues are separately analyzed. Identification issues are also tackled in both stationary and non-stationary models. Finally, empirical applications are surveyed in both cases. This survey is relevant to researchers and practitioners interested not only in the theory of KFS procedures for factor extraction in dynamic factor models but also in their empirical application in macroeconomics and finance.     

How have the dependence structures between stock markets and economic factors changed during the COVID-19 pandemic?

This study investigates how the dependence structures between stock markets and economic factors have changed during the COVID-19 pandemic using the dynamic model averaging approach. A series of economic factors such as commodity markets, cryptocurrency, monetary policy, international capital flows, and market uncertainty indices are considered. We find that the importance of economic variables and the sign and size of their coefficients are significantly different from those before the COVID-19 pandemic. The stock markets are most influenced by economic factors during the COVID-19 outbreak.     

Is the system reliability profitable for retailing and consumer service of a dynamical system under cross-price elasticity of demand?

Retailing strategy is one of the most crucial factors for industries. A proper retailing strategy can help to enhance consumer service and increase the industry's profit. An improved approach to retailing is suggested in this research to deliver superior customer service while maximizing profits in a dynamic system. The study analyzes a retailing strategy for a demand with cross-price elasticity upon the retail price. A product's cross-price elasticity and the system reliability are critical factors in retailing. Understanding the cross-price elasticity of demand between products helps retailers to make pricing decisions that maximize profits by maintaining demand. Imperfect products are produced due to an imperfect production system. The imperfect ones must be adjusted with some costs to make them perfect for better retailing. The system failure rate is crucial for retailing under cross-price elasticity of demand patterns. Production system reliability, cross-price elasticity of demand, and consumer service are all essential factors that can impact a company's success in the market. The production rate is considered time- and system failure rate-dependent. Contradictory to the literature, a dynamical system is proposed for improved retail management, which is solved using the Euler-Lagrange theory. Finally, one can achieve the expected maximum profit for this retail system with optimum selling prices for different products by reducing the system failure rate. Some numerical illustrations with graphical representations are provided to validate the current study. Numerical examples show that applying cross-price elasticity of demand for more than two identical products provides 35% more profit for the retail industry than a single type of product.     

网络嵌入、动态能力与企业创新绩效——一个模糊集定性比较分析

网络嵌入、动态能力与企业创新绩效间关系一直是战略管理领域研究的热点话题，但以往研究忽视了网络嵌入与动态能力各构成维度间不同组合对创新绩效的复杂性影响。因此，基于组态视角和集合论思想，采用模糊集定性比较分析法，以220家中国企业为样本，从企业外部网络嵌入和内部动态能力培育两个层面，探讨网络嵌入和动态能力的不同维度影响企业创新绩效的多重组合路径。研究结果表明：企业创新绩效提升路径包括网络嵌入—能力促进型、双元能力推动型、网络嵌入—能力冲突型和创新能力缺失弥补型4种构型，且网络嵌入三维度间存在一定的替代性。     

应对新冠疫情冲击的货币政策国际协调*

新冠疫情冲击了世界经济增长和金融市场稳定。很多国家推出极度宽松货币政策应对危机。从经典货币政策国际协调的博弈理论来看，应对本次疫情冲击的各国货币政策协调性不足，“以邻为壑”的非合作均衡效果明显。为数不多的货币政策协调也存在执行力不足、深度与广度不够、新兴市场国家话语权低等问题。在世界经济紧密联系、货币政策溢出效应加强的背景下，为了应对疫情冲击，国际组织需要创设协议和合作剩余分配机制，寻找货币政策刺激效果和防止国际资产泡沫之间的平衡，加强政策沟通和信息共享，提高新兴市场国家话语权，建设有效的应对危机的货币政策国际协调机制。中国应在“一带一路”倡议的框架下建立长期货币政策协调机制，在现有的IMF和G20等平台上发挥发达国家与新兴市场国家之间的协调桥梁作用，通过持续开展央行间技术性合作等措施参与和推进协调进程。     

Determinants of spectator no-show behaviour: first empirical evidence from the German Bundesliga

The analysis of stadium attendance demand has a long tradition in the economic literature. However, despite its evident merits, this previous research has been critiqued at several levels, in particular for relying on a suboptimal demand proxy, i.e. published attendance data. In this short note, we address these shortcomings by exploring a highly unique data set containing official information on spectators’ decisions of whether or not to physically attend 704 German football Bundesliga games played between August 2014 and January 2017.