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The purpose of this paper is to analyze the relationship between farm size and agricultural production efficiency from the aspects of output and profit in order to find an optimal farm size that achieves both output and profit efficiency in agricultural production in China.

This study uses the 2012 China Family Panel Studies survey data and employs the stochastic frontier analysis (SFA) models to investigate empirically the relationship between farm size and agricultural production efficiency.

The study finds that there is an inverted-U curve relationship between farm size and output efficiency and a U-shaped curve relationship between farm size and profit efficiency in agricultural production in China. Based on the empirical results, the study estimates that the appropriate farm size is around 10–40 mu and the optimal farm size is around 20–40 mu both in terms of output efficiency and profit efficiency in Chinese agricultural production under the current agricultural technology and land management system.

The findings of this study suggest that appropriate land consolidation will bring more benefits to farmer households and agricultural production efficiency. There are some policy implications. First, governments should give long term and more stable land using rights to farmers through extending the period of land contract and verifying land using rights. Second, governments should encourage transfers of land using rights and promote land consolidation. But the implementation of this policy should consider regional differences and not be used for blindly pursuing increasing land size. Third, land consolidation should be accompanied with the development of specialized agricultural services.

The paper makes two major contributions to the literature. First, the authors use the SFA model to investigate the relationship between land size and agricultural production efficiency. Second, the authors establish two SFA models – the stochastic frontier output analysis model and the stochastic frontier profit analysis model – to estimate the optimal land size to achieve both output and profit efficiency of agricultural production in China.

The purpose of this paper is to evaluate the economic impacts of China’s hukou system and propose the possible direction for future reform.

The study develops a framework to incorporate the hukou system into the economic growth model. Using prefecture city-level panel data covering 241 cities over the period 2004–2016 and applying the fixed effects and instrumental variable regression techniques, the authors investigated empirically the impacts of the hukou system on city economic growth.

The study provides three main findings. First, the city sector conditionally benefits from labour mobility deregulation that allows migrants to work in cities. Second, the hukou system has different impacts on economic growth among cities with different sizes and administrative levels. Third, to offset the costs of providing exclusive public services to the migrants, the big or high-administrative-level cities can use their high-valued hukou to attract the high-skilled migrants, but the small- or low-administrative-level cities do not have this advantage.

This study suggests that the key for further hukou system reform is how to deal with the hukou–welfare binding relationship.

The authors developed a theoretical framework and conducted an empirical analysis on the direct relationship between the hukou system and economic growth to reveal the mechanism of how does the hukou system influence the city economic growth and answer the question of why is the hukou system reform so hard in China. The framework also sheds some lights on explaining the success and failure of the hukou system reforms in the past 40 years.

The purpose of this paper is to estimate the impact of China's outward foreign direct investment (OFDI) conducted by exporting firms on their productivity.

This study uses two Chinese firm-level datasets. To reduce the bias when merging the two datasets, this study uses a comprehensive link approach to obtain more observations. The propensity score matching method is employed together with the difference-in-difference and difference-in-difference-in-difference approaches to identify the casual effects.

The study finds that exporting firms become more productive through learning effect via OFDI, and the positive impact of OFDI on total factor productivity materializes very quickly but subject to diminishing return. The study also finds that state-owned enterprises gain less learning effect via OFDI than private-owned enterprises, and firms with higher export intensity or larger size tend to gain less improvement in productivity via OFDI.

This is one of the first studies to investigate empirically the impact of OFDI conducted by exporting firms on their productivity. In particular, the study analyzes three types of firm heterogeneous factors, namely, ownership, export intensity and size, in affecting exporting firms' learning effect via OFDI.

The purpose of this paper is to analyse the impact of foreign direct investment (FDI) on urban-rural income inequality in China.

This study uses the provincial-level panel data and employs the fixed-effects instrumental variable regression technique to investigate empirically the impact of FDI on urban-rural income inequality in China.

The study finds that while FDI has directly contributed to reducing urban-rural income inequality through employment creation, knowledge spillovers and contribution to economic growth, FDI has also contributed to increasing urban-rural income inequality through international trade.

The study has some policy implications. First, as the study finds that FDI not only contributes to reducing urban-rural income inequality through employment creation, knowledge spillovers and contribution to economic growth, but also contributes to increasing urban-rural income inequality through international trade, therefore, apart from improving local economic and technological conditions to attract more FDI inflows, China should re-design FDI policies by shifting away from encouraging export-oriented FDI to encouraging FDI flows into the industries and sectors in line with China’s overall economic structural adjustments and industrial upgrading. Second, policies should focus on increasing investment in infrastructure development and in public education, which not only can reduce urban-rural income inequality but also can attract more FDI inflows. And finally policies should be designed to accelerate urbanisation development by focusing on urban-rural integrated development, household registration system reform and proper settlement of rural migrants in urban areas, thus reducing urban-rural income inequality.

The paper makes two major contributions to the literature. First, the paper adopts the fixed-effects instrumental variable regression technique to deal with the endogeneity issues in estimating the impact of FDI on urban-rural income inequality, producing more consistent estimates. Second, the paper investigates not only the direct impact of FDI on urban-rural income inequality through the effects of employment creation, knowledge spillovers and contribution to economic growth, but also the indirect impact of FDI on urban-rural income inequality through its activities in international trade, adding new empirical evidence to the sparse literature on the impact of FDI on income inequality in China.

Large foreign direct investment (FDI) inflow is one of the most important features of China's economic reform and opening up to the outside world. Over the past 30 years, China has attracted over US$940 billion FDI inflows, making it the largest FDI recipient among the all developing countries. This chapter argues that FDI inflows into China have mostly come from developing economies, concentrated in China's east and southeast coastal regions, and biased toward the manufacturing sector. The large FDI inflows have greatly contributed to China's economic development. FDI has been playing an increasingly important role in China's economy in terms of capital formation, employment creation, export promotion, and integrating with the world economy. The global financial and economic crisis has had negative impact on FDI inflows into China. However, as compared to the large decline in FDI globally, FDI inflows into China have been resilient. China will continue to be one of the most attractive destinations for FDI in the future.

The purpose of this paper is to analyze the effects of public investment in agricultural R&D and extension on broadacre farming productivity in Australia.

An autoregressive integrated moving average (ARIMA) regression model is applied to estimate the effects of public investment in agricultural R&D and extension on Australian braodacre productivity.

The study reveals that public investment in agricultural R&D and extension has contributed almost two-thirds of average annual broadacre productivity growth between 1952-1953 and 2006-2007, the average internal rate of return to public investment in agricultural R&D and extension was 28.4 and 47.5 per cent a year, respectively, and overseas spill-ins is an important source of domestic agricultural productivity growth.

Policy implications: the findings suggest that increasing public investment in agricultural R&D and extension and maintaining agricultural R&D policy stability are equally important to have a sustained long-term agricultural productivity growth, and maintaining an open trade and investment regime is important to benefit from foreign knowledge spillovers which is especially important for developing countries.

This paper contributes to the existing literature by employing more sophisticated econometric techniques with an extended data set for the period from 1952-1953 to 2006-2007. The study separates the contribution of public R&D investment and the extension investment, and also takes into account the contribution of overseas public investment on the TFP growth in the Australian broadacre sector.

Bertrand Candelon is a professor in International Monetary Economics. He received a PhD from Universite Catholique de Louvain. After a postdoctoral fellowship at the Humboldt Universität zu Berlin, he joined University Maastricht, School of Business and Economics in 2001. He has written extensive works in the area of international finance, in particular on contagion and on the analysis of financial market co-movements. He is one of the founders of the Methods in International Finance Network.

This study aims to provide a systematic and complete knowledge map for use by researchers working in the field of research data. Additionally, the aim is to help them quickly understand the authors' collaboration characteristics, institutional collaboration characteristics, trending research topics, evolutionary trends and research frontiers of scholars from the perspective of library informatics.

The authors adopt the bibliometric method, and with the help of bibliometric analysis software CiteSpace and VOSviewer, quantitatively analyze the retrieved literature data. The analysis results are presented in the form of tables and visualization maps in this paper.

The research results from this study show that collaboration between scholars and institutions is weak. It also identified the current hotspots in the field of research data, these being: data literacy education, research data sharing, data integration management and joint library cataloguing and data research support services, among others. The important dimensions to consider for future research are the library's participation in a trans-organizational and trans-stage integration of research data, functional improvement of a research data sharing platform, practice of data literacy education methods and models, and improvement of research data service quality.

Previous literature reviews on research data are qualitative studies, while few are quantitative studies. Therefore, this paper uses quantitative research methods, such as bibliometrics, data mining and knowledge map, to reveal the research progress and trend systematically and intuitively on the research data topic based on published literature, and to provide a reference for the further study of this topic in the future.