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This paper traces the timeline and milestones of Chinese graduate students in agricultural economics and related fields at foreign universities, with an emphasis on North American universities, since the early 1980s, and assesses the contributions of Chinese doctoral recipients from foreign universities to agricultural economic research and education in North America and China.

Data from department and college websites, associations of agricultural economics, university libraries and databases of theses and dissertations and selected agricultural economic journals in English and Chinese are used to attain the above purposes through graphical and bibliometric analyses.

First, the numbers of Chinese doctoral recipients and tenure-track and tenured faculty in agricultural economics at North American universities have increased steadily and significantly. Second, Chinese scholars in North America have achieved tremendous success in agricultural economic research via high-quality publications, prestigious awards, editorship of top journals, leadership in professional organizations, etc. Third, more Chinese doctoral recipients overseas have increasingly returned to China and are playing important roles in China’s agricultural economic research, education and international collaboration. Fourth, the publications of overseas Chinese scholars in Chinese journals and those of their counterparts working in China on topics beyond China are relatively limited and more collaboration may enhance the global impacts of Chinese agricultural economists.

This research is limited by data availability and quality and the data problems are discussed in the paper.

This is likely the first study to assess the contributions of Chinese doctoral recipients from foreign universities to agricultural economic research and education in China and abroad.

The purpose of this paper is to examine the effectiveness of the “Made in China, Made with the World” advertisement broadcast on the US television station CNN in 2009 and derives recommendations for China's further efforts in promoting the image of products made in China (PMC).

Through a survey based on the Solomon four‐group design, this study collected primary data from 546 students at an American university in 2010 and used the data to test the effectiveness of the CNN advertisement and identify factors that affect the respondents' perceptions about PMC.

Statistical tests indicate that the TV advertisement did not result in the expected effects and even had some boomerang effects on the perceptions about PMC and China's developments, and regression analysis confirms these conclusions. Also, the TV advertisement received low ratings from the respondents in credibility, trustworthiness, rationality, information, stimulation, and excitability.

As exports continue to play an important role in the Chinese economy and PMC are likely to face more challenges in the global markets, China needs to understand both consumer preferences and product safety regulations in the foreign markets, focus more on quality and safety over low prices, and improve the effectiveness of its promotion efforts on the basis of scientifically sound studies.

While the CNN TV advertisement was China's first TV campaign abroad to enhance the image of PMC, this paper presents one of the first studies for assessing the effectiveness of the advertisement and deriving recommendations for China's further efforts in promoting PMC.

The purpose of this paper is to review the growth and regional disparities of China's dairy market since 1980, examine urban consumer demand for three major dairy products (fluid milk, yogurt, and milk powder), analyze China's import patterns of major dairy products since 1995, and discuss China's potential roles in the world dairy market and implications for trade.

While the most recently available time‐series and cross‐sectional data from China are used to analyze the trends and disparities of China's milk production and dairy product consumption through graphical and regression analyses, China's custom data from 1995 to 2008 are used to examine the trends and patterns of China's dairy product imports.

China's dairy market has expanded rapidly in the past two decades but there are significant disparities across regions and income groups. The estimated income elasticities suggest that, as per capita income continues to increase, the demand for dairy products, especially yogurt and fluid milk, is expected to grow at a significant rate. The import trend and pattern analysis indicates that China's dairy imports will likely continue to grow and provide opportunities for major dairy product exporters like the USA, New Zealand, and Australia.

The paper contributes to the literature by examining the trends and disparities of China's dairy market using the most recently available data, presenting an estimation of demand elasticities for fluid milk, yogurt, and milk powder in urban China, and discussing the future prospects of China's dairy imports and implications for trade.

The purpose of this paper is to examine the impacts of direct government payments on agricultural production and exports in the USA.

Alternative regression models are estimated using the time‐series data of 1960 to 2010 from ERS/USDA to address the research questions.

Regression results suggest that current direct government payments had negative influences on US agricultural production and exports, and the lagged influences were positive, but as a whole the impacts of direct government payments were very limited.

Findings from this study provide useful information to agricultural policymakers in the USA, as well as other nations such as China. China may learn from the US experience in developing agricultural subsidies that are effective and allowed under WTO.

While many agricultural trade disputes under WTO are related to the question of whether domestic government supports have boosted agricultural production and exports or reduced imports, this paper addresses the question based on empirical analysis.

The purpose of this paper is to explore the influence mechanism of job satisfaction and positive affect on knowledge sharing among project members in Chinese construction industry, and test the moderating role of organizational commitment between them in order to find a new approach from the perspective of psychology to improve the knowledge sharing performance within project management organizations in China constantly.

An empirical study was used based on confirmatory factor analysis and hierarchical regression analysis with a sample of 540 project members from 80 project management organizations in China.

Research results showed that job satisfaction and positive affect of project members both have a significant positive impact on knowledge sharing; organizational commitment could moderate the influence of job satisfaction and positive affect on knowledge sharing among project members partially within the Chinese context.

A questionnaire study from China only represents the relationship and regular pattern within a shorter time interval in the Chinese context. It is necessary to continue to implement a longitudinal study in a relatively long period in future research.

Knowledge sharing among project members can be enhanced through improving job satisfaction and positive affect, and strengthening project members’ organizational commitment can amplify the influence effect of job satisfaction and positive affect on knowledge sharing.

This paper clarifies the direct influence mechanism of project members’ job satisfaction and positive affect on explicit knowledge sharing (EKS) and tacit knowledge sharing (TKS), and further tests the partial moderating effect of organizational commitment on the influence relationship of job satisfaction and positive affect on EKS and TKS.

The polynomial dimensional decomposition (PDD) method is a popular tool to establish a surrogate model in several scientific areas and engineering disciplines. The selection of appropriate truncated polynomials is the main topic in the PDD. In this paper, an easy-to-implement adaptive PDD method with a better balance between precision and efficiency is proposed.

First, the original random variables are transformed into corresponding independent reference variables according to the statistical information of variables. Second, the performance function is decomposed as a summation of component functions that can be approximated through a series of orthogonal polynomials. Third, the truncated maximum order of the orthogonal polynomial functions is determined through the nonlinear judgment method. The corresponding expansion coefficients are calculated through the point estimation method. Subsequently, the performance function is reconstructed through appropriate orthogonal polynomials and known expansion coefficients.

Several examples are investigated to illustrate the accuracy and efficiency of the proposed method compared with the other methods in reliability analysis.

The number of unknown coefficients is significantly reduced, and the computational burden for reliability analysis is eased accordingly. The coefficient evaluation for the multivariate component function is decoupled with the order judgment of the variable. The proposed method achieves a good trade-off of efficiency and accuracy for reliability analysis.

This study aims to compare and analyze the impact of the commonly used takeout packing (Kraft paper bowl and plastic bowl) through life cycle assessment, then certain suggestions for the development of green packaging could be provided.

In this study, Simapro software was used to calculate and analyze the whole life cycle of takeout packaging from the stage of raw materials, production and processing and waste disposal.

Twelve environmental categories were used to quantitatively analyze the environmental impact of the two different bowls. The results showed that the impact of Kraft paper bowl on the environment was less than that of plastic bowl, regardless of raw material, processing or waste stage. Kraft paper bowl was better than plastic bowl.

This study compared and analyzed the progress of 750-mL bowls made with different materials and specific specifications.

Green packaging is the development trend of the future packaging and follows the principle of reduce, resue, recycle, degradable. According to the calculation results, corresponding suggestions can be put forward from production, processing, use, waste and other aspects, and make corresponding contributions to the development of green packaging.

The contribution and impact of each stage of the product on the environment can be studied. The environmental impacts, such as global warming potential and water scarcity, can be reduced through different solutions, such as the use of green materials, good processing techniques and higher recycling rates.

The study aims to compare and analyze the impact of the commonly used pallets (wooden pallet and plastic pallets), using life cycle assessment (LCA), then provide certain suggestions for the development of green packaging.

In this study, software Simapro was used to calculate and analyze the whole life cycle of pallets from the stage of raw materials and production to processing and waste disposal.

A total of 12 environmental categories were used to quantitatively analyze the environmental impact of the four different pallets. The results showed that, regardless of raw material, processing, or waste stage, the environmental impact of wooden pallet was lower than that of plastic pallet. Wooden pallet was better than plastic pallets.

This study compared and analyzed the pallet of 1 × 1.2m with different materials.

Green packaging is the development trend of the future packaging, which follows the principle of 3R1D. According to the calculation results, corresponding suggestions can be put forward from production, processing, using, wasting and other aspects, and make corresponding contributions to the development of green packaging.

The contribution and impact of each stage of the product on the environment can be studied. The environmental impact, such as global warming potential, water scarcity, can be reduced through different solutions such as the use of green materials, good processing techniques and higher recycling rates.

Both glazing and laminating play a certain role in finishing and protecting the surface of printed matter. This study makes a comparative analysis of the two through life cycle assessment (LCA) and theoretically explores the difference between them.

In this study, the life cycle of laminating and glazing processes was calculated through using Simapro software, and the results were compared and analyzed.

Twelve environmental categories were used to quantitatively analyze the environmental impact of the product. The results showed that the results of the 12 environmental categories involved in the analysis of glazing was less than that of laminating, indicating that the impact of the glazing on the environment was less than that of laminating on the environment.

In order to simplify the study, we only calculated and analyzed the laminating and glazing.

Green packaging is the future, 3R1D, reduce, reuse, recycle and degradable. According to the calculation results, corresponding suggestions can be put forward from production, processing, use, waste and other aspects, and make corresponding contributions to the development of green packaging.

The contribution and impact of each stage to the product life cycle can be studied. In addition, different waste disposal methods have different impacts on the environment, and the higher the recovery ratio, the better the environmental benefits of the product. Recycling should then be promoted as proportionately as possible in practice in order to reduce the environmental impact .

The purpose of this study is to improve the efficiency and accuracy of response surface method (RSM), as well as its robustness.

By introducing cut-high-dimensional representation model (HDMR), the delineation of cross terms and the constitution analysis of component function, a new adaptive RSM is presented for reliability calculation, where a sampling scheme is also proposed to help constructing response surface close to limit-state.

The proposed method has a more feasible process of evaluating undetermined coefficients of each component function than traditional RSM, and performs well in terms of balancing the efficiency and accuracy when compared to the traditional second-order polynomial RSM. Moreover, the proposed method is robust on the parameter in a wide range, indicating that it is able to obtain convergent result in a wide feasible domain of sample points.

This study constructed an adaptive bivariate cut-HDMR by introducing delineation of cross-terms and constitution of univariate component function; and a new sampling technique is proposed.