Aid,collective action and benefits to smallholders: Evaluating the World Food Program's purchase for progress pilot

Agricultural commodity markets in developing countries often operate in a constrained environment of prohibitive transaction costs. Consequently, smallholder farmers are only partly integrated into these markets, a situation that keeps them in a lower level of development equilibrium (poverty trap). Although cooperative institutional alternatives such as Farmers’ Organizations (FOs) may reduce transaction costs and revitalize agricultural production and commercialization, they rarely have been successful in fully delivering on these promises. Against this backdrop, the World Food Programmed (WFP) has recently implemented a multi-year and multi-country pilot to increase smallholder participation in commodity markets. The projects involved investing in physical and human capacities of Farmer Organizations (FOs) to aggregate commodities and add value, as well as locally purchasing food aid from the same. The combination of interventions was expected to increase the relative price of agricultural products, particularly staple crops. In this study, using Ethiopian panel survey data, we estimated the causal income and investment effects of the Ethiopian P4P intervention among smallholders. Using an entropy balancing (EB) model and semi-parametric difference-in-difference (DID) model, we show that the P4P intervention has increased per capita consumption by smallholders. Our additional analysis confirms that this effect is heterogeneous owing to elite capture within Farmer Organizations. We also find evidence of increased food consumption scores, increased investments in child schooling, and increased asset holding among program-participating smallholders relative to comparison farmers. Policy implications are discussed.     

Pricing used books on Amazon.com: a spatial approach to price dispersion

This paper estimates a spatial autoregressive (SAR) model of price dispersion using publicly available internet bookselling data. It uses a semiparametric adaptive estimator that does not require the usual Gaussian assumption of maximum likelihood (ML) estimators. The results suggest that both price competition and seller heterogeneity are key drivers of the observed price dispersion. The paper finds that sellers with large sales volume, newly established sellers and US mainland states-based sellers tend to price lower. The identified significant spatial interaction is evidence of spatial price competition. Controlling for everything else, a seller asks a lower price when large sellers charge relatively high prices, which is also evidence of price-based selling and undercutting.     

Spatial and operational factors behind passenger yield of U.S. nonhub primary airports

Nonhub airports are an essential component in the National Plan of Integrated Airport Systems (NPIAS) of the United States in that they connect regional towns and small communities to the air transportation network. Understanding the interplay of operational and spatial factors in determining average passenger yield of nonhub airports provides airlines with valuable information for network planning and revenue management. This study examines factors contributing to the yield variation among nonhub airports in the U.S. Using ordinary least squares (OLS) based econometric models, this study captures the spatial dependence of passenger yield of nonhub airports, which tends to increase with a corresponding increase in distance to the nearest large hub airport. Nonhub airports surrounding large hub airports with higher passenger enplanements and higher average yields also have higher yields than other nonhub airports. In addition, this study finds the effect of Allegiant Airlines in lowering the average passenger yield of the nonhub airports served directly by the airline, which can be termed as ‘Allegiant Effect’. Findings of this study could provide valuable guidance for airlines to analyze network planning strategies and to identify future markets for growth and for policymakers when allocating resources to communities relying on these nonhub airports.     

The rebound effect on energy efficiency improvements in China’s transportation sector: A CGE analysis

Energy use is becoming more efficient due to technological innovations. We focused on the transportation sector in China to develop a national multisector computable general equilibrium (CGE) model for analyzing the rebound effect from an improvement of 10% in the energy efficiency. We compared the size of the energy rebound effect at both the macroeconomic and sectoral levels in different transportation modal subsectors, namely rail, road, water, and air travel. The findings showed that the magnitude of the rebound effect varies across the transportation modes. This is particularly true for the air transportation sector, which has an economy-wide rebound effect of 30.1% and an own-sector rebound effect of 74.6% because of a sharp increase in the export demand for air transport services. We also quantitatively evaluated the contribution of energy efficiency improvement in the transportation sector to China’s economic growth and carbon reductions and found a positive dividend effect on the economy as well as the environment. The modeling results suggest that improving overall transportation energy efficiency by 10% generates an economy-wide welfare gain of approximately 29 billion yuan, while 19 billion yuan are attributable to a more efficient road transportation subsector. Furthermore, to offset the effects of these mode-specific rebound effects, we simulated the effectiveness of different policies and solutions. These included economic instruments in the form of energy, environmental, and carbon taxes, household transport consumption structure adjustments, and energy structure adjustments. This study revealed that combining these sustainable development policies offers opportunities for economy-wide multisectoral improvements in energy savings, emissions reduction, and economic benefits.     

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.     

Modelling with flexibility through the business cycle: using a panel smooth transition model to test for the lipstick effect

ABSTRACT

Consumer spending typically declines during periods of economic distress, but observers have noted that lipstick purchases appear to increase during recessions, which is often referred to as the lipstick effect. However, the existence of such effect has remained empirically unconfirmed. Using weekly retail scanner data on lipstick sales from 2006 to 2016 in the United States, we applied a Panel Smooth Transition Regression (PSTR) demand model to test the relationship between economic distress and lipstick sales. This flexible demand specification allows regression coefficients to vary as a function of an exogenous macroeconomic variables and fluctuate asymmetrically, non-linearly, and time-varyingly across an unlimited number of regimes. Empirical results show the income elasticity of demand for lipstick decreased rapidly from 0.31 to 0.05 during the 2007–2009 recession, then slowly rebounded to 0.31 by the second quarter of 2014, thus first empirically confirming the existence of the lipstick effect.     

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 long breadth of cities: revisiting worldwide urbanization patterns, 1950–2030

ABSTRACT

A comparative analysis of population dynamics worldwide contributes to profile distinctive demographic and economic trajectories of urban growth, discriminating processes of settlement concentration or dispersion under sequential cycles of urbanization. However, a wide-ranging characterization of urban cycles based on demographic dynamics worldwide is still missing. The present work is aimed at filling such a gap analysing long-term changes (1950–2030) in annual population growth rate of 1691 urban agglomerations with more than 300,000 inhabitants in 74 world countries. Results of this study indicate that metropolitan growth worldwide was associated with largely variable rates of population growth, highly positive before 2000 and progressively reducing over recent decades. Despite important differences at continental (and country) scale, demographic expansion of urban agglomerations showed two contrasting phases with a break point in the 1980s denoting a progressive reduction in spatial heterogeneity of population growth rates and a moderate slowdown in demographic dynamics. Intensity of urban expansion and spatial heterogeneity in population growth rates across metropolitan agglomerations evidences a trade-off between fast and slow demographic dynamics. These findings can be better understood to support theories of sequential city growth, making a suitable contribution to policy making, especially in countries where urban population is expanding more rapidly.     

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.     

基于声誉效应的工程监理激励机制模型研究

为了提高工程监理工作积极性,基于Holmstrom-Milgrom模型,引入声誉效应,建立声誉效应和显性激励机制相结合的动态委托代理激励模型。分析声誉效应发挥激励机制作用条件,并与未考虑声誉效应的委托代理模型进行比较。结果表明:声誉效应在满足一定的条件下,引入声誉激励机制能够增加业主的期望收益,并且能提高监理的努力水平。最后,通过数值仿真模拟验证引入声誉效应的合理性。