Search results

This research aims to investigate how preference for marketing research methodology (quantitative vs qualitative) is contingent on the thinking orientation (analytic vs holistic) of the researchers.

Thinking orientation was measured and then manipulated in laboratory experiments. Cross-cultural evidence was sought by comparing Western and East Asian participants.

Results demonstrate that researchers with an analytic (holistic) thinking orientation tend to perceive quantitative (qualitative) methodology more favorably. Further, the need to offer reasons in support of the choice strengthened the effect of thinking orientation.

Understanding researchers’ preferences for one research methodology over the other has broad relevance for external constituents, as it involves a great deal of managerial commitment in terms of time and money and can affect the results of the research.

This is the first study to investigate factors that underlie researchers’ choice regarding research methodology, and it also extends the literature on analytic versus holistic thinking orientation in the marketing field.

While an increasing number of global brands are of emerging country origin, research about emerging global brands remains scare. The purpose of this paper is to provide the first theoretical effort to understand how consumers in the developed regions evaluate global brands from emerging countries. Building on globalization and social identity theory, the paper aims to shed light on the effect of global identity on consumer attitude toward emerging global brands, the process of such effect, and the boundary condition for it as well.

The authors used two non-student surveys in the USA and UK in which respondents’ global identity was measured and two laboratory experiments in which respondents’ global identity was primed. The operationalization of dependent variables is also divergent, either directly measuring attitude toward the global brands from developing countries or measuring consumer relative evaluation. Convergent results were reported from four studies.

The results show that when consumers’ global (vs local) identity is accessible, those from developed regions will show more favorable evaluations of global brands from emerging countries. And this effect is mediated by the positive association between global identity and globalization. Further, this effect emerged when consumers view global and local cultures as compatible with each other but disappeared when consumers view global and local cultures as oppositional to each other.

The findings have practical implications for global brand marketers from emerging economies to enter developed country markets, and to make their brands real global. Specifically, global identity consumers should be targeted and the compatible view of global and local cultures should be pronounced.

Focusing on global brands from emerging countries, this paper examines the global identity effect in developed country markets for the first time. The finding add new knowledge to the literature of globalization, global branding, and assimilation effect of global identity, and help to reconcile the heated debate on whether country of origin is still relevant to the globalized world.

This paper aims to explore the negative effect of power distance belief (PDB) on do-it-yourself (DIY) preference. It extends previous studies by delving into the underlying mechanism and identifying three theoretically driven moderators that could mitigate this negative effect.

The paper uses secondary data at the country level and conducts three experiments involving participants from the USA and Germany.

The results suggest that the adverse impact of PDB on DIY preference exists through the underlying mechanism of attitude toward customer power. This negative effect can be mitigated when individuals with high PDB focus on status, find themselves in a position of low power or engage in activities within a private consumption setting.

For DIY companies, this study offers crucial insights into the impact of cultural values on consumers’ DIY preferences. By customizing their marketing communications, companies can resonate with high PDB customers more effectively.

This research enhances DIY literature by introducing novel moderators within a theoretical framework, explaining why DIY preference might be low among individuals with high PDB and suggests ways to attenuate this effect.

China has a new rural revitalization strategy to stimulate rural transformation through modernizing rural areas and resolving their social contradictions. While social capital is recognized as an important element to rural revitalization and entrepreneurship, research into the role of psychological capital is less developed. Therefore, this paper assesses the impact of both social and psychological capital on entrepreneurial performance of Chinese new-generation rural migrant entrepreneurs (NGRMEs) who have returned to their homes to develop businesses as part of the rural revitalization revolution.

Based on a survey, data were collected from 525 NGRMEs in Shaanxi province. This paper uses factor analysis to determine variables for a multiple linear regression model to investigate the impacts of dimensions of both social capital and psychological capital on NGRMEs’ entrepreneurial performance.

Through the factor analysis, social capital of these entrepreneurs consists of five dimensions (reputation, participation, networks, trust and support), psychological capital has three dimensions (innovation and risk-taking, self-efficacy and entrepreneurial happiness) and entrepreneurial performance contains four dimensions (financial, customer, learning and growth, and internal business process). Furthermore, the multiple linear regression model empirically verifies that both social capital and psychological capital significantly influence and positively correlate with NGRMEs' entrepreneurial performance.

This study shows the importance of how a mixture of interrelated social and psychological dimensions influence entrepreneurial performance that may contribute to the success of the Chinese rural revitalization strategy. This has serious implications when attempting to improve the lives of over 100 million rural Chinese citizens.

This paper aims to investigate the impacts of climate change on the People's Republic of China's (PRC) grain output using rural household survey data. The paper highlights the regional differences of impacts by estimating output elasticities (with respect to climate change) for different grain crops and different regions.

The paper uses production function to investigate the responses of grain output to climate variables as well as other traditional input variables. The use of production function approach allows us to do away with the competitive land market assumption as required in the Ricardian approach. The paper will use interaction terms of climate variables and regional dummies to capture the regional differences of climate change impact on grain crops.

The results indicate that the overall negative climate impacts on the PRC's grain output range from −0.31 to −2.69 percent in 2030 and from −1.93 to −3.07 percent in 2050, under different emission scenarios. The impacts, however, differ substantially for different grain crops and different regions.

This paper addresses the limitations of existing literature by highlighting regional differences and crop varieties using the most recent nationwide rural household survey data. The results indicate pronounced regional differences and crop differences in the impacts of climate changes on PRC's grain output.

The climate change effects on agricultural output in different regions of the world and have been debated in the literature of emerging economies. Recently, the agriculture sector has influenced globally through climate change and also hurts all sectors of economies. This study aims to examine and explore the impact of global climate change on agricultural output in China over the period of 1982-2014.

Different unit root tests including augmented Dickey–Fuller, Phillips–Perron and Kwiatkowski, Phillips, Schmidt and Shin are used to check the order of integration among the study variables. The autoregressive distributed lag (ARDL) bounds testing approach to cointegration and the Johansen cointegration test are applied to assess the association among the study variables with the evidence of long-run and short-run analysis.

Unit root test estimations confirm that all variables are stationary at the combination of I(0) and I(1). The results show that CO₂ emissions have a significant effect on agricultural output in both long-run and short-run analyses, while temperature and rainfall have a negative effect on agricultural output in the long-run. Among other determinants, the land area under cereal crops, fertilizer consumption, and energy consumption have a positive and significant association with agricultural output in both long-run and short-run analysis. The estimated coefficient of the error correction term is also highly significant.

China’s population is multiplying, and in the coming decades, the country will face food safety and security challenges. Possible initiatives are needed to configure the Chinese Government to cope with the adverse effects of climate change on agriculture and ensure adequate food for the growing population. In concise, the analysis specifies that legislators and policy experts should spot that the climate change would transmute the total output factors, accordingly a county or regional specific and crop-specific total factor of production pattern adaptation is indorsed.

The present empirical study is the first, to the best of the authors’ knowledge, to investigate the impact of global climate change on agricultural output in China by using ARDL bounds testing approach to cointegration and Johansen cointegration test.