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To combat poverty in China's rural areas, Chinese government has established an unconditional cash transfer program known as the Rural Minimum Living Standard Guarantee (Rural Dibao) Program. Interestingly, despite the importance of education in breaking cycles of poverty, little is known about Rural Dibao's impact on rural children's education. This study investigates Rural Dibao's impact on rural children's learning outcomes by first examining targeting issues within the program, exploring a causal relationship between Rural Dibao and learning outcomes, and then exploring potential mechanisms and heterogeneous effects.

Fixed effects model and propensity score weighting method and data from China Family Panel Studies (CFPS) from the years 2010 and 2014 were used.

The results suggest that the Rural Dibao program suffers from high levels of targeting error, yet is still effective (i.e., program transfers generally still go to people in need). The fixed effects and propensity score weighting models find that program participation raises rural children's standardized test scores in CFPS Chinese-language and math tests. In investigating mechanisms, increased education expenditure seems to connect Rural Dibao participation to increased learning results. The heterogeneity analysis shows that poorer, non-eastern, not left behind, younger or male children benefit from the program (while others have no effect).

These findings suggest that Rural Dibao participation boosts rural children's learning, which could indicate a long-term anti-poverty effect, and that if the program can resolve targeting problems, this effect could be even greater.

This paper aims to propose a new method for robust simulations of passive heat transfer in two-fluid flows with high volumetric heat capacity contrasts.

This paper implements a prediction–correction scheme to evolve the volumetric heat capacity. In the prediction substep, the volumetric heat capacity is evolved together with the temperature. The bounded downwind version of compressive interface capturing scheme for arbitrary meshes and central difference scheme are used for the spatial discretization of the advection and diffusion terms of the heat transfer equation, respectively. In the correction substep, the volumetric heat capacity is updated in accordance with the interface captured by using a coupled level-set and volume-of-fluid method to capture the interface dynamics precisely.

The proposed method is verified by simulating the advection of a hot droplet with high volumetric heat capacity, a stationary air–water tank with temperature variation between top and bottom walls and heat transfer during wave plunging at Re=108. The test results show that the proposed method is practical and accurate for simulating two-fluid heat transfer problems, especially for those feature high volumetric heat capacity contrasts.

To ensure the numerical stability, this paper solves an additional conservative form of volumetric heat capacity equation along with the conservative form of temperature equation by using consistent spatial-discretization and temporal-integration schemes.

This paper aims to explore how business-to-business (B2B) salespeople use social media and emulate value creation strategies used by social media influencers.

Using 28 interviews with salespeople, this paper develops six propositions and a conceptual framework that outlines when and how B2B salespeople use social media in value-creating sales.

This study’s findings provide a critical analysis of when social media are most effective and beneficial in supporting salespeople’s value-creating sales in various stages in the sales process (e.g. prospecting, opening relationships, qualifying prospects and serving accounts) and when they are less effective (e.g. presenting sales messages and closing sales).

This research yields a substantive understanding of the evolving role that social media play in B2B sales by examining B2B salespeople’s value creation strategies through the lens of social media influencers’ practice and outlines ideas for future research on B2B salespeople’s social media strategies.

The findings of this research can be used by B2B organizations to structure the training of B2B salespeople to use social media to the fullest extent by aligning specific strategies with different parts of the sales process.

This paper contributes by summarizing the B2B sales literature on social media and integrating recent insights from the social media influencer literature; empirically identifying how B2B salespeople use social media to create value, thus validating previous findings and extending understanding by offering a set of six theoretical propositions; and delineating B2B salespeople’s social media practice into 11 value creation strategies that are critically explored for their place in the sales process.

This paper aims to present a novel transfer alignment method based on combined double-time observations with velocity and attitude for ships’ poor maneuverability to address the system errors introduced by flexural deformation and installing which are difficult to calibrate.

Based on velocity and attitude matching, redesigning and deducing Kalman filter model by combining double-time observation. By introducing the sampling of the previous update cycle of the strapdown inertial navigation system (SINS), current observation subtracts previous observation are used as measurements for transfer alignment filter, system error in measurement introduced by deformation and installing can be effectively removed.

The results of simulations and turntable tests show that when there is a system error, the proposed method can improve alignment accuracy, shorten the alignment process and not require any active maneuvers or additional sensor equipment.

Calibrating those deformations and installing errors during transfer alignment need special maneuvers along different axes, which is difficult to fulfill for ships’ poor maneuverability. Without additional sensor equipment and active maneuvers, the system errors in attitude measurement can be eliminated by the proposed algorithms, meanwhile improving the accuracy of the shipboard SINS transfer alignment.

This study aims to meta-analyze the moderating roles of Hofstede’s four cultural values in the antecedent–tourist loyalty link.

Based on 35 independent studies, a meta-regression was conducted to determine whether the heterogeneity of 11 antecedent–tourist loyalty relationships could be explained by four dimensions of Hofstede’s cultural values. Furthermore, this study tested how these relationships were contingent on each cultural value dimension, reinforced by robustness tests involving subgroup analyses.

The intensity of all associations significantly varied by at least one cultural value dimension, namely, power distance, individualism, masculinity or uncertainty avoidance.

This meta-analytic study enriches the relevant literature by referring to a large, diverse sample to enhance the robustness of the moderating role of tourists’ national culture in loyalty formation and revealing the moderating effect of national culture in 11 antecedent–tourist loyalty links more than in extant literature.

For the body of knowledge of culture-moderated tourist loyalty formation, to the best of the authors’ knowledge, this study is the pioneering meta-analytic effort. It also first offers an original contribution to moderator analysis meta-analytic studies of tourist loyalty by identifying a new moderator, i.e. national culture.

The author presents practitioners with an overview of experts’ outlook for China econmic future. While some observers see the likelihood of a decade of continued rapid growth ahead, others see major economic challenges on the horizon.

To better understand the forces at play, consider the rationale underpinning three experts’ different perspectives on the future of China’s economy.

The author looks at the thinking underlying three vies: Confidence in steady growth: optimism based on China’s continuing “latecomer advantage” and its plentiful investment resources. Cautionary warning: pessimism based largely on his perception of China’s debt load and structural economic limits to consumer spending. Why you shouldn’t bet on pessimism: a rebuttal to much of the reasoning underpinning gloomy growth forecasts.

Taken together, a weak renminbi, low interest rates, and restrained wage growth would signal efforts to maintain the viability of China’s “latecomer” economic model.

The article helps practitioners understand the logic behind optimistic and pessimistic view of China’s economy so that as events develop observers can better understand which future is unfolding and what risks increasing or decreasing.

For a better understanding of the preferences and differences of young consumers in emerging wine markets, this study aims to propose a clustering method to segment the super-new generation wine consumers based on their sensitivity to wine brand, origin and price and then conduct user profiles for segmented consumer groups from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences.

We first proposed a consumer clustering perspective based on their sensitivity to wine brand, origin and price and then conducted an adaptive density peak and label propagation layer-by-layer (ADPLP) clustering algorithm to segment consumers, which improved the issues of wrong centers' selection and inaccurate classification of remaining sample points for traditional DPC (DPeak clustering algorithm). Then, we built a consumer profile system from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences for segmented consumer groups.

In this study, 10 typical public datasets and 6 basic test algorithms are used to evaluate the proposed method, and the results showed that the ADPLP algorithm was optimal or suboptimal on 10 datasets with accuracy above 0.78. The average improvement in accuracy over the base DPC algorithm is 0.184. As an outcome of the wine consumer profiles, sensitive consumers prefer wines with medium prices of 100–400 CNY and more personalized brands and origins, while casual consumers are fond of popular brands, popular origins and low prices within 50 CNY. The wine sensory attributes preferred by super-new generation consumers are red, semi-dry, semi-sweet, still, fresh tasting, fruity, floral and low acid.

Young Chinese consumers are the main driver of wine consumption in the future. This paper provides a tool for decision-makers and marketers to identify the preferences of young consumers quickly which is meaningful and helpful for wine marketing.

In this study, the ADPLP algorithm was introduced for the first time. Subsequently, the user profile label system was constructed for segmented consumers to highlight their characteristics and demand partiality from three aspects: demographic characteristics, consumers' eating habits and consumers' preferences for wine attributes. Moreover, the ADPLP algorithm can be considered for user profiles on other alcoholic products.

This paper aims to examine the impact of environmental, social and governance (ESG) disclosure and firm value (FV), as well as, pinpoints the role of the audit quality (AQ) as a moderating variable on such impact; where the authors hypothesize that AQ modulates the relationship between ESG disclosure and the FV.

Data of a sample of firms listed on the Egyptian Stock Exchange Market (EGX) were collected over the period of 2017–2021 and analyzed using the regression and 2SLS models.

The results suggested that: (1) the ESG has a significant positive impact on the FV in the EGX, and (2) AQ has a significant impact, as a moderating variable, on the relationship between ESG disclosure and FV.

The findings would help the Egyptian market authorities in realizing the importance of integrating ESG information within the financial reports of the listed firms. The findings could also help in developing effective disclosure procedures to provide shareholders with useful information.

This paper contributes to the literature regarding the ESG disclosure components and the FV value by considering AQ in testing such relationship.

The purpose of this paper is to present a case of an office building in England and show how the technology in energy efficiency in building will contribute to energy conservation.

The paper presents a case of an office building. The building is then modelled and analysed using IES Virtual Environment VE to estimate the Target Emissions Rate (TER) and the Building Emissions Rate (BER) to see how the building could satisfy Part L of the Building Regulations.

The building in case use various sustainable solutions such as limiting the heat loss and gain through the fabric, ventilation system with a good high heat recovery system, increasing the availability of daylight and good lighting control system. The office building in the case study is in full compliance with Part L of the Building Regulations. The sustainable technology in the building will assist the compliance with Part L of the Building Regulations.

This is a single case study building; more case studies for buildings of this nature are required.

The paper demonstrates various feasible solutions of sustainable technology in buildings that might help comply with the regulation.

The case study building is a real case taken directly from one of the author's projects when he was working as a building services engineer. This case study building and its sustainable features have not been presented before in an academic journal.

Ecogamification can make a positive impact on Tourism. With this in mind, the present study aims to examine specific stakeholders – those positioned at the upstream side of gamification process – and their perspectives concerning not only the benefits, but also the challenges of (eco)gamification.

The study follows a qualitative-exploratory approach and bases its results on the analysis of 10 in-depth interviews conducted with buyers and providers from the emerging Portuguese tourism and tech markets.

Results shed light on key benefits of ecogamification, including its potential to promote “green” behaviour, transmit complex information through entertainment, reward users for good practices, improve engagement and help avoiding overtourism. Simultaneously, there are important challenges to overcome, including the lack of investment, resistance to new technologies, low eco-consciousness of tourists and distraction from issues that matter. Further, findings show that ecogamification takes on different and specific roles for buyers and providers.

The research limitations are mainly related to the sample size.

An effective ecogamification process depends on the integration of the supply and demand sides and, at the same time, on the responsibility of different stakeholders (providers, buyers, players) across the value chain, through a broad logic of B2B2C.

This study contributes towards a better understanding of ecogamification in tourism, through the eyes of buyers and providers and also provides insights regarding the role of these specific stakeholders and the relationship between them.

生态游戏化对旅游业有积极影响。本论文探究特定利益相关方--游戏化过程的上游一方—对（生态）游戏化的既得利益以及挑战。

本论文采用定性-探索型调研方法, 进行了10次深度访问, 对葡萄牙新兴旅游科技市场的购买方和采购商进行对话。

研究结果对生态游戏化的关键利益做了梳理, 包括其对潜在“绿色”行为的倡导, 通过娱乐方式传输复杂信息；奖励用户良好行为, 促进用户参与度, 以及帮助避免过度旅游现象。同时, 研究明确了重要挑战需要克服, 包括资金投入的缺失, 新技术的抵抗, 游客的生态意识低下, 以及生态的衍生问题等。此外, 研究结果表明生态游戏化对买房和卖方的不同特定角色。

研究理论限制主要集中在样本数量较小。

有效生态游戏化过程取决于供求双方的整合, 同时, 责任于不同利益相关者（供方、买方、游戏人）在整个价值链上, 通过B2B2C逻辑达成。

本论文深化了对旅游业中生态游戏化的理解, 通过买方和供方的视角, 同时针对这些特定利益相关者的角色以及其之间的关系, 提出独到见解。

关键词 游戏化、生态游戏化、可持续性、SDGs、旅游业