The current study examined the relationship between Chinese consumers' personal value orientations and their Internet usage and online shopping behaviour. The study was based on responses from a sample of 1620 respondents in five cities in China. Based on Schwartz's value structure, four value orientations were identified and named as ‘openness to change orientation’, ‘self‐enhancement orientation’, ‘conservation orientation’ and ‘self‐transcendence orientation.’ Logistic regression analysis was used to investigate the relationship between respondents' demographics, socio‐economic characteristics, value orientations and their Internet usage and online shopping behaviour. Also, a structural equation modelling analysis was employed. ‘Openness to change orientation’ and ‘self‐enhancement orientation’ were found to have direct or indirect positive effect on respondents' online shopping behaviour; whereas ‘conservation orientation’ and ‘self‐transcendence orientation’ were not significant in the equation estimation.

PurposeThis paper studies the relationships among consumers’ perceptions of brand personality, consumers’ brand attitudes and brand-owned social media content marketing (SMCM). The moderating effect of the brand content relevancy was also assessed.Design/methodology/approachA conceptual model was established and examined using two experiments with a total of 363 participants. Hierarchical regression analysis and an analysis of variance were performed to test seven research hypotheses.FindingsResults show that the three forms of brand-owned SMCM, namely: conversation, storytelling and customer interaction and participation, are positively correlated with consumers’ brand personality perceptions and brand attitudes. Also, consumers’ perceptions of brand personality can partially mediate the relationship between brand-owned content marketing and consumers’ brand attitudes. Furthermore, the brand content relevancy does not show a moderating effect on the relationship between content marketing and consumers’ brand personality perceptions or brand attitudes.Originality/valueFirst, a framework was established to delineate those paths by which owned social media content marketing (OSMCM) influences consumers’ attitudes towards a brand. Second, the study demonstrates the importance of conversation as a powerful method of OSMCM. Third, with respect to content in marketing strategies, firms do not need to confine themselves to a narrow scope of content or information that is closely related to the brands alone.

Eradicating poverty is a strategic priority in the pursuit of Sustainable Development Goals. This study intends to identify and quantify the elements affecting the Characteristic Agriculture Development (CAD) project implemented in area of Chinese poverty and reveals the interrelationships between those elements. First-hand data for the structural modeling were collected through semi-structured interviews with a group of selected experts. As a result, this study has identified seventeen representative elements, and the interrelationships between them have been examined based on the Interpretive Structural Modeling (ISM) method. Furthermore, these elements were further categorized into four categories depending on their driving power and dependence power by using the cross-impact matrix multiplication applied to classification (MICMAC) analysis. The combination result of the elements identification, ISM modeling and MICMAC analysis provide a conceptual framework for designing, implementing, and managing CAD projects conducted in rural China. Finally, we suggest that an appropriate approach should be applied to empower the poor, promote target group participation, optimize the regional agriculture structure, and increase the agro value chain competiveness in CAD project implementation.

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Summary The 72 most important commercial fish species as well as nine unidentified fish groups representing hundreds of fish species as the major and minor target species caught in waters off Taiwan and the East China Sea were selected from the ‘Fisheries Yearbook Taiwan Area.’ All available published and grey literature as well as the Fish Database of Taiwan and Fishbase websites were thoroughly reviewed for a total of 108 fish species, including 51 out of 72 major and 57 minor target fish species, on their reproductive periods in waters off Taiwan and the East China Sea. The spawning periods from these commercial fish species were then summarized. An imperative adjustment was recommended for the established fishing season closure, i.e. for an earlier start, from April to June, in the southern East China Sea. This suggested correction corresponded with the spawning period of most fishes so as to maximize the protection of spawning cohorts for at least 68 major and minor target fish species, which would account for over 53% of the total fish yield in Taiwanese offshore fisheries.

Threadfin porgy Evynnis cardinalis is both a dominant fish species and an important fishing target in bottom trawl fisheries in the Beibu Gulf, South China Sea. It was listed as endangered (EN) in a recent International Union for Conservation of Nature (IUCN) red list. Despite its economic importance and endangered status, limited research on its biological characteristics and spatial-temporal distribution has been undertaken this last decade, creating uncertainty in current conservation and management. We analyse this species' spatial distribution characteristics using data from four seasonal bottom trawl surveys in 2014-2015, and report average catch per unit effort to vary seasonally, from 49.1 to 594.5 ind h −1. Growth, mortality and sexual maturity are reported for four time periods based on data from bottom trawl fishery

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This is an exploratory analysis combining artificial intelligence algorithms, fishery acoustics technology, and a variety of abiotic factors in low-latitude coastal waters. This approach can be used to analyze the sensitivity level between the acoustic density of fishery resources and various abiotic factors in the surface mixed layer (the water layer above the constant thermocline) and the bottom cold water layer (the water layer below the constant thermocline). The fishery acoustic technology is used to obtain the acoustic density of fishery resources in each water layer, which is characterized by Nautical Area Scattering Coefficient values (NASC), and the artificial intelligence algorithm is used to rank the sensitivity of various abiotic factors and NASC values of two water layers, and the grades are classified according to the cumulative contribution percentage. We found that stratified or multidimensional analysis of the sensitivity of abiotic factors is necessary. One factor could have different levels of sensitivity in different water layers, such as temperature, nitrite, water depth, and salinity. Besides, eXtreme Gradient Boosting and random forests models performed better than the linear regression model, with 0.2 to 0.4 greater R 2 value. The performance of the models had smaller fluctuations with a larger sample size. The thermocline in the low latitude sea area is permanent, the upper layer of the thermocline is a surface mixed layer, and the lower layer of the thermocline is the bottom cold water layer. The distribution of fishery organisms and their driving factors in the perfusing water layers (especially the surface mixed layer and the bottom cold water layer) deserves further investigation. The offshore of the northern South China Sea is a typical representative of low-latitude coastal waters, and it is also an important traditional fishery production operation in China, owing to its good climate that offers a conducive habitat for the marine life, a spawning site, and a place for fattening and farming of fish. However, fishery resources have increasingly become small and of reduced quality 1,2. Resource density, the single yield of fishing vessels, and catch quality are declining. The catch rates