Destination taxation and evasion: Evidence from U.S. inter-state commodity flows

Tax evasion has been an important issue in the accounting literature for several decades, but the focus has been on corporate income taxes. We develop a new way to examine tax evasion that focuses on corporate transactions, rather than corporate profits. Specifically, we examine how commodity flows respond to destination sales taxes, allowing for tax evasion as a function of distance between trade partners. After accounting for transportation costs, we find that the effect of taxes decreases as distance increases. This is consistent with the notion that longer distances between trade partners hinder government oversight and increase the likelihood of successful tax evasion. Our results are robust with respect to outliers, strategic neighbor effects, information sharing agreements and other re-specifications. These results are important to policymakers because they evidence the difficulty of enforcing destination taxation in open economies such as U.S. states and the European Union.     

Supermarkets, wholesalers, and tomato growers in Guatemala

The article shows the asset‐related determinants and the impacts of the participation of small farmers in supermarkets versus traditional market channels in Guatemala. Compared to farmers selling only to the traditional market channels, farmers selling to supermarket channels are larger (but are in the upper tier of the “small farmer” category), have more capital, and are much more specialized in commercial horticulture in general and in tomatoes in particular. While they have higher yields, they also have higher input use, including use of chemicals. In fact, they severely overuse pesticides and fungicides. Moreover, these greater input expenditures mean that their profit rates are roughly similar to those of farmers in the traditional market channel. Supermarket‐channel farmers prefer the more demanding wholesale‐supermarket channel because it offers lower risks and lower transaction costs to market, a variety of quality grades of tomatoes, all year long. In turn, the supermarkets, who do not buy direct but rather source from a few specialized‐dedicated wholesalers, rely on this year‐round supply, lower transaction costs, and consistency of quality.     

中国旅游研究的多维视野--对国内与国外相关文献的评述

本文通过对大量英文和中文文献的检索和分析，以几个重要的主题作为阐述的基本框架。比较全面地分析了中国本土学者、外国学者以及旅居国外的中国学者对中国旅游问题的研究成果和基本观点，并对旅游研究过程中所呈现的基本趋势进行了讨论。通过这个分析，使国内同行得以一窥中国旅游问题在世界旅游论坛上被关注的程度，以及了解中国旅游研究与国外旅游研究的差别。本文提供的大量英文文献，也是相关研究领域的重要学术线索。     

Pandemic effects in the Solow growth model

We show how diseases can affect economic growth in a Solow growth model, with population growth and no technical progress, but modified to include a saving rate that depends on the individual health status. We successively insert this model into the SIS (susceptible–infected–susceptible) and SIR (susceptible–infected–recovered) models of disease spreading. In these two models, the spread of the infection proceeds according to the so-called basic reproductive number. This number determines in which of the two possible equilibria, the disease-free or the pandemic equilibrium, the economy ends. We show that output per capita is always lower in the pandemic steady state, which implies a contraction in the economy's production possibilities frontier.     

A time series approach to study the dynamic effects of bilateral trade agreements

International Economics and Economic Policy - In this work, the effects of 103 bilateral regional trade agreements (RTAs: partial scope agreements — PSAs — and free trade agreements...     

Internet use and consumption diversity: Evidence from rural China

The Internet is integral to modern living. While the Internet is ubiquitous in China's urban areas, its uptake is still lagging in the country's rural regions—the development potential of the Internet remains untapped, and despite China's steep economic growth during the 21st century, the living standards in its rural regions remain low. The Internet can accelerate rural development in China. This study is focused on analyzing whether and to what extent Internet use affects consumption diversity, an indicator of the quality of life, in rural China. To this end, we employ the instrumental-variable-based two-stage endogenous treatment regression model to analyze the 2018 China Family Panel Studies survey data. The modeling approach allows us to account for the endogeneity of Internet use. The results show that consumption diversity is positively associated with Internet use. Furthermore, it rises with household income, household size, and wealth. Whether the Internet is accessed via smartphones or computers has no bearing on household consumption diversity. We also find that education, household income, and wealth increase one's predicted probability of using the Internet. The results also point to regional differences in consumption diversity and the likelihood of using the Internet.