This paper analyzes the impact of internet use on entrepreneurship activities. This is based on 2014 survey data from China Family Panel Studies (CFPS). The results show that internet use promotes the entrepreneurial tendency of Chinese entrepreneurs and affects their income levels. Moreover, such influences are moderated by the location of individuals; the impact is higher for the entrepreneurial tendency and income levels of rural residents than that of urban ones. In addition, this paper also finds that internet use stimulates entrepreneurship by promoting social networks. Furthermore, social networks bring more salient impacts to rural residents as compared to those of urban ones.

Purpose: The purpose of this paper is to investigate how trade liberalization influences rural poverty reduction in China.Design/methodology/approach: The authors make use of China Family Panel Studies survey data, take annual income of farmers of RMB2,300 and RMB3,450 as the poverty lines (poverty line 1 and poverty line 2, respectively). Residents below poverty line 1 and poverty line 2 are 2,580 and 2,661, respectively. Probit model is used to estimate the impact of trade liberalization on the poverty probability. Income-deciding equation is used to estimate the impact of trade liberalization on the income level of poor residents in rural areas. Income-deciding equation is also used to examine the transmission mechanism of trade liberalization affecting rural poverty.Findings: This study finds that trade liberalization can reduce the poverty probability of rural residents and promote the income growth of poor residents in rural areas. Trade liberalization increases the income of poor residents and reduces poverty through transmission mechanisms such as promoting economic growth and financial expenditure.Originality/value: To the authors’ knowledge, this is the first empirical study to quantitatively model the impact of trade liberalization on rural poverty reduction in China using residents’ survey data.

This research examines the relationship between agricultural commodity prices and the local housing market. Previous literature focuses on the unidirectional impacts from commodity prices to the local economy, but we propose that in some cases local asset markets can also influence commodity prices due to the agglomeration of commodity productions and the linkages of financial markets, and thus the causalities between them can be bilateral. In addition, according to a new regional economic model that we develop about local asset market and commodity price shocks, we further predict the causalities between the commodity prices and the local house price are nonlinear. We test these hypotheses using data of the major agricultural commodities of an agriculturally focused region – California Central Valley area. The results are consistent with our expectations: there is no evidence for linear causalities between the price returns of these agricultural commodities and the local housing market, but the nonlinear Granger causalities between them are significant.