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Regional and Sectoral Patterns and Determinants of Comparative Advantage in China
William Charles Sawyer, Kiril Tochkov, Wenting Yu
Front. Econ. China. 2017, 12 (1): 7-36.
https://doi.org/10.3868/s060-006-017-0002-6
China’s export performance is marked by large regional disparities which affect trade patterns at the national level. This paper uses data from input-output tables to estimate the comparative advantage of Chinese provinces in the three main economic sectors over the period 1992–2007. In contrast to existing studies, we include the services sector in the analysis and construct not only indices of revealed comparative advantage for overall trade, but also bilateral indices for interprovincial trade. The results indicate that West and Central China have a comparative advantage in agriculture/mining, coastal provinces in manufacturing, and metropolitan provinces in services. However, interprovincial trade exhibits a more complex pattern. Regression analysis identifies labor endowments as the key determinant of comparative advantage in total trade, while physical capital is the driving force in domestic trade. Human capital and government spending have a positive effect, whereas industrial loans and taxes, along with provincial trade barriers, impair comparative advantage.
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Welfare Analysis of Tacit Coordination in the U.S. Airline Industry
Xiaolan Zhou
Front. Econ. China. 2017, 12 (1): 66-93.
https://doi.org/10.3868/s060-006-017-0004-0
This paper studies airlines’ competitive behavior in the U.S. airline industry, focusing on 2014 data. I use a structural model to estimate demand and test several supply models, including noncooperative competition, perfect collusion, and tacit coordination. There are three different types of tacit coordination, formed by multimarket contact, common ownership, and codeshare agreement, respectively. I find that the model that fits the data best is a tacit coordination model with coalitions between airlines with at least 30% of their markets overlapped and using price rather than quantity as the strategic variable. I further analyze the consumer welfare loss, each carrier’s profit gains, and changes in market variables due to the tacit coordination.
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Improving the Accuracy of Estimated Returns to Education in China—Based on Employment Rate, Career Length, and Income Growth
Binlei Gong
Front. Econ. China. 2017, 12 (1): 113-131.
https://doi.org/10.3868/s060-006-017-0006-4
Most empirical studies on the returns to education use current income to proxy for lifetime income due to the lack of longitudinal data. This simplification is found to cause biased estimates and the result is conditional on being employed. This paper quantifies the returns to education with heterogeneity in employment rates, career lengths, and income growth rates. Using data from China, this paper attempts to account for these differences across the life-cycle and estimates the returns to education in terms of lifetime income when actual lifetime earnings data are not available. The model clarifies the mathematical relationship between conditional current returns to education, unconditional current returns to education, and unconditional lifetime returns to education. This new approach explains how employment rates, career lengths, and income growth rates affect the direction and magnitude of the bias in estimating the returns to education.
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