This study explores the interaction between environmental consciousness and sustainable food attributes as predictors in the market segmentation process for sustainable foods with respect to United States (U.S.) Generation Z (Gen Z) consumers. This study was executed using a cross-national, web-based survey to analyze and categorize Gen Z female (n = 435) and male (n = 377) consumers between 18 and 23 years of age living in the continental United States. The objectives of this study were to classify U.S. Gen Z consumers into unique segments based on their environmental consciousness and to assess the functional relationships among the following: (a) their degree of ecological awareness; (b) the importance of the perception of sustainable food attributes; (c) their food choices associated with healthy eating habits; and (d) sociodemographics. Survey data were analyzed using cluster analysis of consumer groups based on environmental consciousness. Environmental consciousness was measured using a composite score of the environmental involvement scale and the environmental values scale. Gen Z consumers with high environmental consciousness (sustainable activists) and moderate ecological awareness (sustainable believers) considered more eco-friendly and healthy product attributes when purchasing sustainable food, whereas Gen Z consumers with low environmental consciousness (sustainable moderates) considered more extrinsic product attributes (e.g., price and convenience). Furthermore, the results indicate that food choices associated with healthy eating habits could be used to develop a profile for different eco-conscious Gen Z consumer groups. The contributions of this study are twofold. First, for academic researchers, this paper extends marketing segmentation research concerning environmentally sensitive young consumers. Second, for industry professionals, this study provides food retailers or food service operators with sustainable consumer values that will aid in the development of effective, green marketing strategies to better attract and meet the sustainability expectations of Gen Z—the consumer segment with the most spending power of any generation.

With the vigorous development of urbanization and rural tourism, the landscape of villages and towns has undergone tremendous changes under the influence of policies and industries. In order to avoid irreversible changes in the local heritage landscape and promote local sustainable development, it is necessary to strengthen the attention and research on the rural recreation landscape. This research examines the value of rural landscape recreation by applying the choice experiment method (CEM) to a suburban area in Sichuan, China. Mixed logit models were adopted in examining tourists’ willingness-to-pay (WTP) for rural landscape improvement and preference heterogeneity. An assessment of the rural landscape’s recreational value was made using the compensating surplus calculation method. Results reported are of four important landscape elements: ecological environment, rural life and associated productive landscape, rural housing, and service landscape, ranked by tourists from high-to-low. A major finding of the research is that an increase in rural tourism is dependent upon improvements to landscape elements. The results of this research can provide policymakers with valuable information necessary to develop a successful plan to attract and increase tourism in rural areas of China.

This study identifies the factors that attract U.S. residents to eco-friendly events. To achieve our research objective, we obtained data (N = 1,115) from a cross-national, web-based survey distributed to consumers 18 to 65 years of age living in the continental United States. The questionnaire was comprised of five multi-item summated rating scales adapted from the research literature: (1) environmentalism importance; (2) event motivation (push and pull factors); (3) event values; (4) event retention; and (5) sociodemographic information. Data analysis was performed using the SAS^® Enterprise Miner^TM version 14.1. It identified four intrinsic push factors: “social status promotion,” “making a connection with the environmentally knowledgeable people,” “self-remediation,” and “learning about up-to-date environmentally sustainable products and practices.” There was one extrinsic pull factor: “location.” The findings can help tourism policy and decision makers, planners, marketers (e.g., destination marketing organizations, convention and visitor bureaus), and academic specialists in destination management and marketing.

We examined whether corporate charitable giving (CCG) in China benefits corporate performance (CP) in terms of sales growth (SG), return on asset (ROA), return on equity (ROE), and Tobin’s Q (TQ), and revealed several findings. First, testing shows variation in the impact of CCG on CP. Whereas the ratio of corporate charitable giving (RCCG) to total sales revenue does not significantly enhance SG, ROA, and ROE, it is positively related to TQ. Second, the positive relationship between RCCG and TQ originates from non-state-owned firms (NSOFs) rather than state-owned firms (SOFs). Third, Chinese firms may use CCG as traditional philanthropy to enhance long-term performance instead of strategically using it to generate short-term performance. Lastly, an inverted U-shaped relationship exists between RCCG and TQ, especially for NSOFs.

This article examines the effects of China’s aging population (in terms of the old-age dependency rate (OADR)) on entrepreneurship (in terms of dimensions of innovation (IE) and self-employment (BE)) using data from 30 provinces from 2003 to 2017. Contrary to a widespread pessimistic interpretation that describes an aging population as merely a burden on entrepreneurship, this paper illustrates some positive effects of China’s aging population on entrepreneurship in terms of IE and BE. Moreover, we introduce and test the nonlinear relationship between OADR and IE/BE. Our simple panel regression model can be utilized not only to understand the inverted U-shaped effects of an aging population on entrepreneurship, by using the ordinary least squares (OLS) method and fixed-effects (FE) in our empirical studies and the system generalized method of moments (SYSGMM) in the robustness check, but also to provide managerial implications by pointing out the “optimal OADR” and the comparative regional aging situation.

As the dominant form of rural tourism (RT) in China, Nong Jia Le (NJL) has made it possible for local farm households to benefit. In this article, a four-step strategy based on binary logistic regression was introduced to identify the most important factors influencing the participation of farm households in NJL. Next, a comparative study based on data from two NJL communities was conducted to test the approach and identify the most important influential factors as well as the differences. The results showed that the approach could identify the optimal model and the most influential factors in different rural communities. The comparative study indicated that for Pinglou Village, the most influential factors were “education years” and “gender ratio”, while in Baozi Village, the three most influential factors were “education years”, “consumption level”, and “land area”. Implications were put forward to improve the level of participation and hospitality of NJL.