Animal disease outbreaks and food market price dynamics: Evidence from regime‐dependent modelling and connected scatterplots

The economic impacts of animal disease outbreaks have been widely discussed in the literature. Most authors have centred their attention on estimating the direct costs. Recent studies have shown that the indirect economic effects might lead to equal or even higher welfare losses. This study aims to contribute to this field of research by assessing the effect of an animal disease outbreak on food market price dynamics in Mexico, accounting for the potential effect of an antitrust intervention. We employ a regime‐dependent vector error correction model and a connected scatterplot analysis. The results show that both the outbreak and the antitrust intervention caused structural breaks in food market price dynamics between producers and consumers, reflected in an increase in the absolute component of the marketing margin, with serious food security implications.     

Violation behavior in vertical restraint: Empirical analyses in the case of retail price maintenance

An extensive body of work within the marketing and economics literature has been devoted to studying vertical restraints, yet only a few researchers have investigated the violation behavior of retailers. In this paper, we investigate violation behavior in the context of retailer price maintenance. We investigate this behavior using a unique data set from a subsidy program in China, which includes transaction-level information that shows retail price maintenance (RPM) practices in multiple product categories by multiple manufacturers across multiple markets. The results from our fixed effects regression show that retailer violations are more likely to occur when intra-product competition is high. However, how retailer violation likelihood varies with inter-product competition may depend on the product category. We find that inter-product competition, is negatively associated with the likelihood of violation, for “less popular” product categories in the program such as washing machines, air conditioners, etc., but is positively associated with the likelihood of violation for “popular” product categories such as refrigerators, televisions, and cell phones. Our research provides some of the first empirical evidence about retailer violation behavior under RPM in the world’s largest emerging market by focusing on the relationship between violation behavior and market structure. We discuss the implications for monitoring efforts of manufacturers and regulators.     

Rental prices in Germany: A comparison between migrants and natives

This paper deals with the question of whether migrants pay a rent premium for apartments of comparable quality and neighborhood characteristics. We use a two-step selection-correction model augmented by a control function to account for nonrandom neighborhood choice. The estimation sample is a uniquely assembled panel comprising the Socio-Economic Panel (SOEP), information on household and apartment characteristics, as well as georeferenced data describing neighborhood quality. Our estimates reveal that people with migration backgrounds are not penalized in the German local rental market in terms of higher rental payments.     

Land price diffusion across borders – the case of Germany

ABSTRACT

Land market regulations are often justified by the assumption that activities of foreign and non-agricultural investors drive up prices in domestic land markets. However, empirical knowledge about the dynamics of agricultural land prices across borders is sparse. Using the German reunification as a natural experiment, we study the effect of the former inner German border on the dynamics of agricultural land prices in East and West Germany. We apply a land price diffusion model with an error correction specification to analyse spatial agricultural land markets. A novel feature of our model is its ability to distinguish price diffusion within states and across state borders. We provide evidence for a persistent border effect given that the fraction of spatially integrated counties is larger within states than across the former border. Moreover, we observe non-significant error correction terms for many counties along the former border. From a policy perspective, it is striking to realize that even 25 years after German reunification, pronounced land price differences persist. It is quite likely that price diffusion through existing borders within the EU would take even more time given language barriers, different institutional frameworks, and information asymmetries between domestic and foreign market participants.     

The effects of exchange rate pass-through and cost channel on price level: The case of fragile five countries

ABSTRACT

In this study, we investigated whether the exchange rate and the interest rate had an effect on the inflation rate in the fragile five countries between the years of 1996Q4 and 2015Q4. In this context, a model was created to estimate the effect of interest rate and exchange rate on the inflation rate. The methods used in the study take into account cross-section dependence and heterogeneity. As a result of the analysis, it was determined that there was an exchange-rate and interest-rate pass-through effect in the fragile five countries. Moreover, it was found out that the cost channel and price puzzle were effective in Indonesia and South Africa but were not effective in Turkey, Brasil and India.     

The non-linear impact of oil price on the oil demand

ABSTRACT

A panel smooth transition regression model was adopted to analyse the non-linear impact of oil prices on oil demand. Data for 42 countries was obtained from the International Energy Agency for the time period spanning from January 1990 to June 2017. The results indicate that a threshold value does exist. Furthermore, when the oil price was lower than this threshold value, a positive relationship between oil price and oil demand was observed. When the price of oil was higher than the threshold value, however, a negative relationship between price and demand was found.     

A Stochastic Model with Penalized Coefficients for Spatial Price Comparisons: An Application to Regional Price Indexes in Italy

This paper focuses on a new strand of research that uses stochastic approach for making spatial price comparisons. We propose a novel method to account for the presence of spatial dependencies in consumer prices and consequently in price indexes by imposing penalization conditions on the estimation of traditional CPD models leading to the spatially-penalized country-product-dummy (SP-CPD) model. The paper proposes an appropriate estimation strategy, which enables us to simultaneously estimate all the parameters in the model, including the smoothing parameter of the penalization term instead of determining it externally. In order to estimate spatial price indexes for areas lacking in price data, we suggest applying the kriging methodology to the price indexes obtained from the SP-CPD model. This new approach is applied to official Italian CPI data for constructing regional spatial price indexes for 2014. The results show that price levels are higher in the Northern-Central regions than in the South.     

How to reduce energy intensity to achieve sustainable development of China's transport sector? A cross-regional comparison analysis

China's transport sector has been attracting great attention for its excessive energy consumption and ever-increasing pollution emissions. Thus, reducing energy intensity is one of the top priorities of China's ongoing transport upgrade. In this paper, by establishing a panel data regression model derived from the Cobb–Douglas cost function, we focus on investigating the impacts of energy price and transport productivity on transport energy intensity at the national and regional levels. The study uses the provincial panel data for 2005–2016 to perform regression analysis. The results show that: (1) energy price has a significantly negative effect on transport energy intensity in the whole China and the eastern region, whereas it has no significant impacts in the central and western China. (2) Improvements in transport productivity can effectively decrease transport energy intensity in the whole China and the three major regions. (3) Applying an extended data envelopment analysis (DEA) approach, we decompose transport productivity into four components (i.e., technical change, technology gap change, scale efficiency change, and pure efficiency change) and further differentiate their impacts in different regions. The results indicate that these four components have substantially different impacts in each region. These results provide some valuable insights for policymakers and enterprise entities aiming to adopt measures to reduce energy intensity and achieve sustainable development in China's transport sector.     

新冠肺炎疫情对线上商品价格变化的影响

文章运用电商高频价格大数据，分析了新冠肺炎疫情对商品价格变化的影响。研究发现：根据公平定价理论，在突发疫情下商家会加入消费者情绪制定价格策略，商品价格经过调整后趋于稳定；并且，商品价格表现出较低的价格黏性，对称的交错调价使得新冠肺炎疫情对商品价格的冲击有限。因此，政府部门可利用线上商品价格编制大数据物价指标，及时反映市场供求变化，促进资源优化配置，为宏观政策制定提供依据；同时，加快推进消费数字化转型，优化线上交易环境，建立预警机制来应对突发情况。