Search results

Agriculture commodity price forecasts have long been important for a variety of market players. The study we conducted aims to address this difficulty by examining the weekly wholesale price index of green grams in the Chinese market. The index covers a ten-year period, from January 1, 2010, to January 3, 2020, and has significant economic implications.

In order to address the nonlinear patterns present in the price time series, we investigate the nonlinear auto-regressive neural network as the forecast model. This modeling technique is able to combine a variety of basic nonlinear functions to approximate more complex nonlinear characteristics. Specifically, we examine prediction performance that corresponds to several configurations across data splitting ratios, hidden neuron and delay counts, and model estimation approaches.

Our model turns out to be rather simple and yields forecasts with good stability and accuracy. Relative root mean square errors throughout training, validation and testing are specifically 4.34, 4.71 and 3.98%, respectively. The results of benchmark research show that the neural network produces statistically considerably better performance when compared to other machine learning models and classic time-series econometric methods.

Utilizing our findings as independent technical price forecasts would be one use. Alternatively, policy research and fresh insights into price patterns might be achieved by combining them with other (basic) prediction outputs.

Smart community construction (SCC) and efficiency require resident participation. This paper aims to explore the determinants of residents’ participation intention (RPI) in the SCC.

Based on the theory of planned behavior (TPB), this study proposed an extended conceptual model to deeply analyze the RPI in the SCC. The relationship between all constructs was verified by processing and analyzing online survey data using confirmatory factor analysis (CFA), structural equation model (SEM), and bootstrapping method.

Participation attitude, perceived behavioral control, subjective norm, and perceived usefulness significantly and positively affected the RPI. Furthermore, intermediary effects in the extended conceptual model had been confirmed.

To fill the critical gap in the research on the determinants of the RPI in the SCC context, this study developed a novel conceptual model by extending the TPB to analyze the effects of self-driven and externally-driven factors on the RPI from the perspectives of residents’ psychology and external environment. The findings not only clarify the complex process of forming the RPI in the SCC but also provide a theoretical foundation for studying the RPI in similar community construction projects. Additionally, several strategies have been proposed to encourage residents’ participation in the SCC and promote the development of smart communities, such as clarifying residents’ participation obligations, improving the convenience services of smart communities, and diversifying residents’ participation approaches.

This study aims to investigate the satisfaction of farmers with the compensation policy for wildlife-caused damages and its influencing factors, analyze the current situation of satisfaction with the compensation policy among farmers, identify factors significantly affecting satisfaction, and explore ways to optimize the compensation policy and improve the satisfaction of farmers based on the effects of various influencing factors.

The Xishuangbanna National Nature Reserve in Yunnan Province, China, is selected as the research area for the study. Through field interviews, 370 valid questionnaires were collected to obtain relevant data on farmers' satisfaction with the compensation policy for wildlife-caused damages. The Oprobit model is utilized to explore the factors influencing farmer satisfaction and to analyze their underlying reasons.

The study reveals that farmers in the communities surrounding the Xishuangbanna National Nature Reserve generally experience low satisfaction with the compensation policy, particularly concerning satisfaction with compensation amounts, which tends to be dissatisfied on average. Satisfaction with the compensation policy is significantly influenced by individual characteristics and household labor structure, while the degree of human-wildlife conflict, wildlife conservation attitudes and household income structure have insignificant impact. Among individual characteristics, gender, education level, health status, and ethnicity are highly significant. In household labor structure, the number of agricultural laborers, non-agricultural laborers, and household agricultural labor time are highly significant.

Building on the overall satisfaction of farmers with the compensation policy, this study further decomposes policy satisfaction into satisfaction with compensation amounts, coverage, and procedures. It provides more targeted recommendations for enhancing satisfaction with the compensation policy, which can help effectively mitigate human-wildlife conflicts and achieve harmonious coexistence between humans and nature.

This paper aims to understand tourist behavior in Indian rural tourism by integrating the stimuli-organism-response (SOR) framework, service quality model (SERVQUAL) model and theory of planned behavior. It investigates the role of positive tourist-host interactions, destination image, trust and attitude in shaping pro-tourism intentions. Additionally, it explores the moderating effect of Indian traditionality on these relationships.

This study uses a mixed-methods approach, combining qualitative data from 15 respondents with quantitative analysis involving 580 tourists engaged in Indian rural tourism. Confirmatory factor analysis and structural equation modeling are used to examine relationships among tourist-host interactions, destination image, trust, attitude and pro-tourism intentions.

The study reveals that positive interactions and a positive destination image play crucial roles in building trust and shaping favorable attitudes toward rural tourism. Trust and attitude, in turn, significantly drive pro-tourism intentions. Furthermore, tourist attitude partially mediates the relationship between trust and intentions. The study introduces the novel concept of Indian traditionality as a moderator, highlighting its impact on trust, attitude and pro-tourism intentions.

Limitations include the focus on Indian rural tourism, which may limit generalizability, and potential response bias due to self-reported data. Future research could explore other cultural contexts and use diverse data collection methods.

This research offers practical insights for policymakers and stakeholders, emphasizing the importance of fostering positive tourist–host interactions and cultivating a positive destination image to enhance the overall tourist experience and promote sustainable rural tourism practices.

This study’s innovation lies in harmonizing theoretical frameworks to shed light on Indian rural tourism’s multifaceted aspects. It introduces Indian traditionality as a cultural moderator, enriching understanding of tourist behavior. The research contributes to academia and industry by guiding the development of sustainable tourism practices and improving the tourist experience.

本研究旨在通过整合 SOR 框架、SERVQUAL 模型和计划行为理论来理解印度乡村旅游中的游客行为。研究探讨了游客与东道主的积极互动、目的地形象、信任和态度在形成亲旅游意愿中的作用。此外, 本文还探讨了印度传统对这些关系的调节作用。

本研究采用混合方法, 将 15 名受访者的定性数据与 580 名参与印度乡村旅游的游客的定量分析相结合。研究采用了确证因子分析（CFA）和结构方程模型（SEM）来考察游客-接待方互动、目的地形象、信任、态度和亲旅游意愿之间的关系。

研究表明, 积极的互动和正面的目的地形象在建立信任和形成对乡村旅游的良好态度方面发挥着至关重要的作用。信任和态度反过来又会极大地推动亲旅游意愿。此外, 游客态度在一定程度上调节了信任与意愿之间的关系。研究引入了印度传统这一新颖的概念作为调节因素, 强调其对信任、态度和亲旅游意愿的影响。

研究的局限性包括：研究重点是印度乡村旅游, 这可能会限制研究的普遍性, 以及由于自我报告数据而可能产生的反应偏差。未来的研究可以探索其他文化背景, 并采用不同的数据收集方法。

这项研究为政策制定者和利益相关者提供了实用的见解, 强调了促进游客与东道主之间的积极互动以及培养积极的目的地形象对于提升整体游客体验和促进可持续乡村旅游实践的重要性。

本研究的创新之处在于协调理论框架, 揭示印度乡村旅游的多面性。它引入了印度传统作为文化调节因素, 丰富了我们对游客行为的理解。该研究通过指导可持续旅游实践的发展和改善游客体验, 为学术界和产业界做出了贡献。

Esta investigación pretende comprender el comportamiento del turista en el turismo rural de la India mediante la integración del marco SOR, el modelo SERVQUAL y la Teoría del Comportamiento Planificado. Investiga el papel de las interacciones positivas entre el turista y el anfitrión, la imagen del destino, la confianza y la actitud en la formación de las intenciones proturismo. Además, explora el efecto moderador de la tradicionalidad india en estas relaciones.

Este estudio emplea un enfoque metodológico mixto, combinando datos cualitativos de 15 encuestados con un análisis cuantitativo en el que participan 580 turistas en el ámbito del turismo rural en India. Se utilizan el análisis factorial confirmatorio (AFC) y el modelo de ecuaciones estructurales (SEM) para examinar las relaciones entre las interacciones turista-anfitrión, la imagen del destino, la confianza, la actitud y las intenciones a favor del turismo.

El estudio revela que las interacciones positivas y una imagen favorable del destino desempeñan un papel crucial en la creación de confianza y en la formación de actitudes positivas hacia el turismo rural. La confianza y la actitud, a su vez, impulsan significativamente las intenciones proturismo. Además, la actitud del turista es un mediador parcial en la relación entre confianza e intenciones. El estudio introduce el novedoso concepto de tradicionalidad India como moderador, destacando su impacto en la confianza, la actitud y las intenciones proturismo.

Las limitaciones incluyen el hecho de centrarse en el turismo rural en India, lo que puede limitar que sea generalizado, y el posible sesgo de respuesta debido a los datos auto declarados. Futuras investigaciones podrían explorar otros contextos culturales y emplear diversos métodos de recogida de datos.

Esta investigación ofrece ideas prácticas para los responsables políticos y las partes interesadas, haciendo hincapié en la importancia de fomentar las interacciones positivas entre el turista y el anfitrión y cultivar una imagen positiva del destino para mejorar la experiencia turística en general y promover prácticas sostenibles de turismo rural.

La innovación de este estudio radica en la armonización de los marcos teóricos para arrojar luz sobre los aspectos polifacéticos del turismo rural en India. Introduce la tradicionalidad India como moderador cultural, enriqueciendo nuestra comprensión del comportamiento turístico. La investigación contribuye al mundo académico y a la industria orientando el desarrollo de prácticas turísticas sostenibles y mejorando la experiencia del turista.

Despite the importance of tourism ethnocentrism in emerging tourism destinations, there is limited, but growing, research interest in this area. This study aims to respond to current calls for investigating mechanisms that can promote tourism ethnocentrism in both emerging and developed tourism destinations.

This study aims to investigate what drives tourists to continue using ChatGPT for travel purposes. This study focuses on the impact of parasocial interaction on tourists’ intention to continue using ChatGPT. It also examines how satisfaction mediates this relationship and the role of technology anxiety as a moderating factor.

Using a sample of 606 tourists in popular Vietnamese tourist destinations, this study used the SPSS PROCESS macro (Model 4 and Model 14) to estimate the research model.

The study found that tourists’ satisfaction and parasocial interactions positively influenced their intention to continue using ChatGPT for travel purposes. The tourists’ satisfaction was found to play a partial role in mediating the relationship between parasocial interactions and their intention to continue using ChatGPT. Technology anxiety was found to be a negative moderator of the direct effect of satisfaction and the indirect impact of parasocial interaction on this intention.

This study stands out as a pioneering exploration into the novel intersection of parasocial interaction, satisfaction, and technology anxiety and their influence on tourists’ intention to persist with using ChatGPT for travel-related purposes.

The increasing popularity of live-streaming commerce has provided a new opportunity for e-retailers to boost sales. This study integrated signaling theory and social exchange theory to investigate how streamer- and product-centered signals influence customers’ likelihood of making an impulsive purchase in the live-streaming commerce context.

An online survey was designed and distributed to the target respondents in China using purposive sampling. A total of 735 valid responses were analyzed with partial least square structural equation modeling (PLS-SEM).

Both streamer-centered signals, i.e. streamer credibility and streamer interaction quality, were discovered to significantly influence product-centered signal, i.e. product information quality. Additionally, streamer interaction quality was found to have a significant impact on streamer credibility. Furthermore, it was observed that customer engagement played a significant mediating role in the relationship between product information quality and impulsive buying tendency. Moreover, the paths between product information quality and customer engagement, as well as the connection between engagement and impulsive buying tendency, were found to be moderated by guanxi orientation.

Despite the prevalence of impulsive purchases in live-streaming commerce, few studies have empirically investigated the impact of streamer and product signals on influencing customers’ impulsive purchase decisions. Consequently, to the best of our knowledge, this study distinguishes itself by offering empirical insights into how streamers use reciprocating relationship mechanisms to communicate signals that facilitate impulsive purchase decisions.

This study investigates the economic outcomes of the strategic deviation (SD), the fundamental and crucial question in institutional theory and strategic management. Previous studies have yielded contradictory findings. This study reconciles conflicting results by distinguishing the effects of the SD on financial and market performance, examining the mechanism of financing constraints and the boundary condition of institutional investor heterogeneity.

This research collected data from Chinese A-shares listed manufacturing firms from 2009 to 2021 from the CSMAR and Wind databases. This study conducted empirical tests using OLS models with Stata 15.

Empirical results demonstrate that the SD has different impacts on different dimensions of performance. The SD negatively impacts financial performance while positively impacts market performance. Financing constraints mediate the main effects. Moreover, transactional institutional investors positively moderate the negative effect of the SD on financial performance, whereas stable institutional investors negatively moderate the positive effect of the SD on market performance.

By systematically revealing how the SD has different effects on financial and market performance, this study reconciles the debate on the SD between institutional theorists and strategy scholars. This research makes contributions to the research stream by providing reasonable explanations for conflicting conclusions. Furthermore, by introducing the overlooked perspective of financing constraints, this research identifies crucial mediating mechanisms and highlights the double-edged effect of financing constraints, enriching our understanding of financing constraints. Finally, this study investigates the moderating effects of institutional investor heterogeneity, thereby making valuable contributions to the comprehension of boundary conditions.

This study aims to examine the influence of managerial myopia on the excessive financialization behavior of listed firms on Bursa Malaysia.

Through a sample of 313 firms from 2015 to 2021, the author examine whether managerial myopia promotes or inhibits corporate financialization. The author uses ordinary least squares and Logit as the baseline models and addresses potential endogeneity through the dynamic-panel generalized method of moments. The results are also robust to alternative measures of financialization and managerial myopia.

The results show a significant positive effect of managerial myopia on the excessive financialization of enterprises. Furthermore, the findings indicate that the impact of managerial myopia on the over-financialization of enterprises is more prominent in periods of low economic policy uncertainty. However, the relationship between excessive financialization and managerial myopia is weakened in the presence of female chief executive officers.

The empirical results have useful policy implications. First, firms should establish scientific managerial assessment and supervision systems to avoid excessive financial investment behavior by myopic managers caused by assessments that place too much emphasis on short-term performance. Second, regulators and policymakers should encourage firms to appoint women to top management positions, which may inhibit short-sighted financialization behavior. Finally, the regulatory authorities should undertake the necessary measures driving companies to disclose the investment direction of the funds so that shareholders and investors can understand the use direction of the funds in a timely manner, which can effectively prevent the economy “from the real to the virtual” and promote the development of the real economy.

This paper expands the existing research on corporate financialization behavior and provides a new theoretical basis for the underlying factors of excessive financialization. It studies the influence of corporate financialization from the perspective of short-run managerial actions and deepens the understanding of managerial myopia and companies’ financialization levels.

The purpose of this paper is to clarify the relationship between the use of different polymer matrices for the preparation of composite materials, namely, polyethylene terephthalate-glycol (PET-G) and polyamide (PA), using Composite Fiber Co-Extrusion technology with the application of two types of carbon fibers, short and continuous. The aim of the study is also to extend the knowledge of the production of composite materials with a defined structure from the point of view of their influence on the microstructure and their physical-mechanical properties.

As part of the experiment, four types of samples were prepared, namely, two types of samples with PA polymer matrix and two types with PET-G polymer matrix. All types contained short carbon fibers and always one set from each polymer matrix in addition to continuous carbon fibers. All types were prepared using the same 3D printing parameters to avoid any further influence. The samples were then tested for microstructure using microCT, mechanical properties using a tensile test and dilatation characteristics from the point of view of aerospace applications. Finally, the raw materials themselves were tested.

The paper provides insight into the influence of polymer matrix types on the physico-mechanical properties of 3D printed composites. The analysis confirmed that the physico-mechanical results varied with respect to the interface between the polymer matrix and the carbon fiber. The implications of the conclusions can be extended to the development of products in the aerospace and automotive sectors.

This study provides information for composite applications in the aerospace industry, focusing on evaluating dilatation characteristics within very low temperatures (−60 °C) when using carbon fibers (continuous carbon fibers, short carbon fibers and a combination of both) in two types of thermoplastic matrices. This perspective on materials characterisation for aerospace applications is a very important and unpublished approach within the 3D printing of composites. These characteristics are important parameters in the design of prototypes and functional samples with regard to the resulting behaviour in real conditions.