Search results

The purpose of this paper is to assess whether China’s public sector can continue to generate advanced genetically modified (GM) technologies that will be competitive in the market.

The authors investigated all the research teams that have been conducting research projects under the variety development special program. The data collected include detail information on research capacity, research areas, performance, and process of their research projects. Based on the survey data, the authors assessed the innovations and progress of the variety development special program.

Unlike other countries, most GM products in China are developed by public research institutes. There is rising concern on the ability of China’s public sector to continuously generate indigenous GM technology that can compete with multinational companies. The study surveyed 197 research institutes and 487 research teams and found that the GM program in China lacks coordination: researchers do not want to share their research materials with others. Due to the lack of coordination, most of the hundreds of research teams often worked independently in the year 2008-2010. Moreover, the authors found the lack of coordination may be due to the reason that the interests of researchers are not well protected. This paper also provided the recent progress and policy changes of GM program in China, and it found that the efficiency in the later three years improved a lot. In order to establish a competitive national public GM research system, China should continuously consolidate and integrate the upstream, midstream, and downstream activities of the whole GM innovation process. China’s public sector may also need to work more closely with both the domestic and international private sectors.

This paper is a comprehensive analysis on the development of transgenic technology in China. The results of this paper can provide evidence for the dynamic adjustment of the policies in the variety development special program and can also provide reference for the future assessment of the variety development special program.

Previous studies have mainly focused on public opinions regarding genetically modified (GM) technology and GM food. The purpose of this paper is to assess scientists’ attitudes on whether China needs to develop its national agricultural GM technology and their willingness to buy GM food.

A stratified sampling method was used to select and interview 806 scientists from six major agricultural universities and 20 research institutes under two national academies in China in 2013. Based on these data, the authors use both descriptive statistics and multivariate regression analysis to examine scientists’ attitudes toward agricultural GM technology and food, using GM soybean oil as an example of GM foods.

The survey results show that nearly three-quarters of scientists agree that China needs to develop its agricultural GM technology, but their attitudes differ largely. Only 29 percent of scientists are willing to buy GM soybean oil, similar to urban consumers (25 percent) in China. The knowledge of biology is extensive for some scientists but varies significant among scientists and correlates positively with their attitudes toward agricultural GM technology and GM soybean oil. Younger and male scientists with higher professional titles, and those involved in GM research are more in favor of China’s GM technology compared to other scientists. Female scientists, scientists with lower professional titles, those that have never engaged in GM research or are from non-agricultural scientific disciplines are less willing to buy GM soybean oil. Interestingly, their low willingness to buy GM soybean oil is inconsistent with the fact that it is the most common edible oil in China.

This study is the first to examine scientists’ attitudes toward GM technology and food in China. The results of this study contribute to understanding the current debates on GM technology and the relevance of research, based on the willingness to buy GM food, for decision making regarding the commercialization of GM technology.

The huge flow of foreign direct investment (FDI) in recent decades has prompted concern among policy-makers and researchers regarding its impact on the environment, as well as its contribution to China’s economic growth. In this study, by combining FDI and trade pollution theory, we establish a model to evaluate the impact of FDI on pollution, which facilitates testing the “pollution haven” hypothesis. Our results indicate that FDI is concentrated in pollution-intense industries. Moreover, it is necessary to undertake further research on FDI pollution with new data after environmental regulation.

This paper aims to conduct inter‐country analysis of agricultural productivity growth in transition countries in Asia and Europe. This paper pays particular attention to the magnitude and direction of productivity growth over different stages of their market reforms.

The paper adopts a nonparametric Malmquist index approach using an output distance function to measure productivity growth and decompose it into its associated components. The empirical analysis is performed using the most recent FAO data set of 35 transition countries in Asia and Europe over the period of 1979‐2004.

The paper shows that decomposition analysis of productivity growth differs considerably at different stages of the transition period. This study presents supporting evidence that serious improvements in performance and efficiency, as well as continued technology transfer and adoption are required for transition economies to meet the demand for food and anticipated increases in world population.

A comprehensive picture about the agricultural performance of the transition countries has somehow been missing in the literature. This study fills this gap by analyzing the productivity in these transition countries.

The purpose of this paper is to analyze customer loyalty in the context of existing relationships between Brazilian banking service provider and its customers in the context of B2C (Business-to-Consumer) relationships. Hence, a theoretical model was proposed and tested with banking services private individual customers taking into account perceived value, service provider reputation, financial bonding tactics, structural bonding tactics, social bonding tactics and switching costs as customer loyalty determinants.

A multivariate statistical approach with structural equations modeling was used in a 505 customer sample of the one prominent bank in Brazil.

Results indicate that the proposed theoretical model confirming a satisfactory fit, presenting a good explanatory power (R²=0.738) and supporting that perceived value influences the service provider reputation; financial bonding tactics, structural bonding tactics and social bonding tactics influence perceived value; service provider reputation influences switching costs; switching costs influence customer loyalty and the social bonding tactics influence customer loyalty.

The results evidenced in the present research could serve as benchmarking for other researchers or managers connected to the financial service sector (or bank service) when looking for a better understanding about the antecedents of customer loyalty, adapting strategies and actions to stimulate and generate better market and economic–financial results for the institutions of this sector.

Finding out which constructs better explain customer loyalty, and its possible relations, is something relevant for the banking sector, once it can generate more effective managerial insights, positively making an impact in a customer portfolio performance, or the financial institution itself, from the construction, maintenance and strengthening of the relationships with customers.

With the rise in the opportunity to go to college, the purpose of this paper is to identify if China's rural poor are being excluded from the university system, and if so, why.

Two sets of the authors' own primary survey data were used: a group of randomly selected high school students in Shaanxi Province and a census of all freshmen entering into four universities in Sichuan, Anhui and Shaanxi. The intention was to show if the rate of the rural poor attending universities is lower than that of urban students and that of rural non‐poor; also to identify the barriers to education (if they exist) that are keeping enrollment rates low for the rural poor. The authors used ordinary least squares method to make the estimations.

Matriculation rate of the poor into college was found to be substantially lower than the students from non‐poor families. Clearly, barriers exist that are excluding the rural poor; however, the authors demonstrate that the real barriers are not at the point of college admissions, but before students have even matriculated into high school.

This is the first empirical work which studies the barriers that keep the poor out of university.

The purpose of this paper is to explore the potential causes of the reduction of cotton cultivation in Shandong Province of China from the perspective of smallholders and notably examine the role of off-farm employment.

This paper extends an integrated behavioral model to analyze the relationship between off-farm employment and cotton cultivation by taking into account farmers’ risk attitudes. A household survey data of 144 Bt cotton farmers in six villages in Linqing County, Shandong Province conducted in 2012 and 2013 is used. A simultaneous equations model is established and further estimated by using three-stage least squares method.

Although the introduction of Bt cotton has promoted the increase in cotton acreage in China from 1999 to 2007, the planting area of cotton has been decreasing since 2007. The results show the significant correlations among risk attitude, off-farm employment, and cotton cultivation. The planting area of cotton is positively correlated with farmers’ willingness to take risk but negatively associated with off-farm employment of family members. The findings imply that the rapid emergence of off-farm labor markets is a major reason for the reduction of cotton acreage in Shandong Province. In the context of the more opportunities of off-farm employment in China, cotton acreage is expected to decrease further.

The findings provide a reasonable explanation for the reduction of cotton cultivation in Shandong. This analysis contributes to a better understanding of the relationships among individual risk attitude, off-farm employment, and agricultural behavior, thereby adding to the literature about the application of the integrated behavioral model.

To improve the accuracy of parameter prediction for small-sample data, considering the existence of error in samples, the error circle is introduced to analyze original samples.

The influence of surface roughness on fatigue life is discussed. The error circle can treat the original samples and extend the single sample, which reduces the influence of the sample error.

The S-N curve obtained by the error circle method is more reliable; the S-N curve of the Bootstrap method is more reliable than that of the Maximum Likelihood Estimation (MLE) method.

The parameter distribution and characteristics are statistically obtained based on the surface roughness, surface roughness factor and intercept constant. The original sample is studied by an error circle and discussed using the Bootstrap and MLE methods to obtain corresponding S-N curves. It provides a more trustworthy basis for predicting the useful life of products.