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This study aims to identify and describe the relationships among sensory-driven pleasure, cognition-driven pleasure, symbolic-driven pleasure and organic food purchase behavior considering the moderating effects of functionality trust and authenticity trust from the viewpoint of the theory of planned behavior (TPB).

Data were collected using a structured questionnaire survey in first-tier cities in China. A total of 352 consumers of organic foods participated in the study. Structural equation modeling and hierarchical regression analysis were employed for data analysis.

The results indicated the significant association of perceived behavioral control, subjective norm, attitude, sensory-driven pleasure and cognition-driven pleasure with purchase intention. Perceived behavioral control and purchase intention had significantly positive effects on purchase behavior. Moreover, functionality trust had a positive moderating effect on purchase intention and purchase behavior.

This study not only provides novel and original insights for understanding organic consumption but also provides a reference for organic producers, sellers and policymakers to develop effective strategies to guide organic consumption that are conducive to promoting sustainable consumption.

For the first time, this research introduces the construct of food pleasure into the TPB to explore the relationships between food pleasure and purchase behavior based on the TPB. It may expand the scope of the TPB and provide valuable insights regarding how to improve the existing intention–behavior gap in organic consumption.

This study explores the characteristics of female space evolution in Korean vernacular houses in the Yanbian region of China. In addition, it discusses the influence of social logic on the evolution of female spaces.

This study utilises space syntax methodology to examine the evolution of female spaces in Korean vernacular houses in terms of connectivity value, step depth and integration value. Furthermore, it conducts an analytical exploration of social logic based on the evolutionary characteristics of female space.

The findings elucidate the evolutionary characteristics of the spatial configuration of female spaces in Korean vernacular houses, with differential changes in connectivity, a gradual tendency towards openness and simplicity and increased accessibility and centrality. This reflects the changing spatial needs of Korean women brought about by changes in lifestyle, consciousness, social status and family structure.

This study provides perspectives and insights into the vernacular architecture and architectural sociology of ethnic minorities in regions of China and Asia. Furthermore, it can provide relevant construction organisations with a more intuitive understanding of Korean vernacular houses and a reference for future house renewal and construction in the Yanbian region.

Although many studies have investigated various aspects of Korean vernacular houses and female spaces, none have examined the influence of social logical changes on the evolution of female spaces in Korean vernacular houses. Thus, this study is valuable and novel.

This study reduces carbon emission in logistics distribution to realize the low-carbon site optimization for a cold chain logistics distribution center problem.

This study involves cooling, commodity damage and carbon emissions and establishes the site selection model of low-carbon cold chain logistics distribution center aiming at minimizing total cost, and grey wolf optimization algorithm is used to improve the artificial fish swarm algorithm to solve a cold chain logistics distribution center problem.

The optimization results and stability of the improved algorithm are significantly improved and compared with other intelligent algorithms. The result is confirmed to use the Beijing-Tianjin-Hebei region site selection. This study reduces composite cost of cold chain logistics and reduces damage to environment to provide a new idea for developing cold chain logistics.

This study contributes to propose an optimization model of low-carbon cold chain logistics site by considering various factors affecting cold chain products and converting carbon emissions into costs. Prior studies are lacking to take carbon emissions into account in the logistics process. The main trend of current economic development is low-carbon and the logistics distribution is an energy consumption and high carbon emissions.

Platform certification constitutes an effective mechanism for managing the lemon problem concerning food e-commerce. This work aims to evaluate the market effect of platform certification and analyzes its correction mechanism for lemon problem combined with reputation mechanism.

Utilizing the Gold Seller certification of Taobao.com to serve as an illustration, the authors conducted an empirical study based on the sales data of hairy crabs among 2,239 sample sites over six points in time from October to December 2019, systematically examining the market effect of food e-commerce platform certification along with the interaction between food e-commerce platform certification and reputation mechanisms, followed by a heterogeneity test by product price.

This study finds that sellers with platform certification can significantly increase their sales. The market effect of platform certification is more easily observed in the low-price product market. In addition, platform certification and reputation mechanisms have complementary effects. In a low-price product market, the complementary effect of platform certification and product reputation diminishes, while the complementary effect of platform certification and seller reputation disappears.

This study explores the market effect of food e-commerce platform certification, reveals the market effect of certification mechanism when multiple signaling mechanisms exist simultaneously and conducts an empirical test based on real market data. It provides a better comprehension of how platform certifications work in food e-commerce.

Climate change-related weather events significantly affect rice production. In this paper, we investigate the impact of and interrelationships between agriculture inputs, climate change factors and financial variables on rice production in India from 1970–2021.

This study is based on the time series analysis; the unit root test has been employed to unveil the integration order. Further, the study used various econometric techniques, including vector autoregression estimates (VAR), cointegration test, autoregressive distributed lag (ARDL) model and diagnostic test for ARDL, fully modified least squares (FMOLS), canonical cointegrating regression (CCR), impulse response functions (IRF) and the variance decomposition method (VDM) to validate the long- and short-term impacts of climate change on rice production in India of the scrutinized variables.

The study's findings revealed that the rice area, precipitation and maximum temperature have a significant and positive impact on rice production in the short run. In the long run, rice area (ß = 1.162), pesticide consumption (ß = 0.089) and domestic credit to private sector (ß = 0.068) have a positive and significant impact on rice production. The results show that minimum temperature and direct institutional credit for agriculture have a significant but negative impact on rice production in the short run. Minimum temperature, pesticide consumption, domestic credit to the private sector and direct institutional credit for agriculture have a negative and significant impact on rice production in the long run.

The present study makes valuable and original contributions to the literature by examining the short- and long-term impacts of climate change on rice production in India over 1970–2021. To the best of the authors’ knowledge, The majority of the studies examined the impact of climate change on rice production with the consideration of only “mean temperature” as one of the climatic variables, while in the present study, the authors have considered both minimum as well as maximum temperature. Furthermore, the authors also considered the financial variables in the model.