Search results

Limited research exists on the role of information access as a key success factor for rural entrepreneurs. The purpose of this study is to examine the importance of information access, among other inequality forms, in shaping entrepreneurial outcomes.

The authors used a qualitative, inductive research methodology. They conducted interviews with rural entrepreneurs and gained insights into the role of information access and basic tangible resources in shaping their ventures.

The authors identified two critical factors that impact rural entrepreneurs: inequalities in access to information and basic tangible resources. They found that inequalities in rural entrepreneurship are often interrelated, rather than isolated. The authors demonstrated that the relationship between entrepreneurship and inequality is not solely characterized by a positive or negative correlation but is a dynamic interplay where certain inequality forms may create barriers to opportunities for some individuals while creating opportunities for others.

The authors uncovered key barriers in rural entrepreneurship and constructed a roadmap to effectively address these challenges, providing valuable insights to policymakers and support initiatives and enabling the target of high-impact resources. This research supports efforts to provide rural entrepreneurs with equal opportunities to grow and succeed.

This research significantly contributes to the field by examining the complexities of entrepreneurship in emerging economies, with a particular focus on rural areas. The authors introduced a comprehensive conceptual model linking inequality and entrepreneurship, explored the challenges faced by rural entrepreneurs and offered strategic policy recommendations for development initiatives.

The objective of this study is to determine the efficiency of tourist accommodation companies located in the main tourist area of southern Europe as one of the three elements of the local sustainable development triangle.

The analysis, carried out using the data envelopment analysis (DEA) methodology on 130 companies, has obtained that from the CCR perspective (results-oriented method when companies present constant returns on the input variables).

The companies involved are quite inefficient, while which from the BCC perspective (where the input and output variables used in the company respond to a variable and not constant scale) are quite efficient. The efficiency of these companies in the seven provinces of Andalusia has also been analysed to determine if there are patterns that differentiate them and thus be able to propose strategies that improve the sustainability of these territories. The conclusions of the study indicate the need to improve the operational efficiency of rural accommodation companies.

The analysis of efficiency in the hotel sector and even more so in the rural tourism sector is relatively scarce in the literature, especially in Spain. More specifically, Rubio and Román (2006) have demonstrated the existence of scale inefficiencies in hotels, but no evidence has been found in previous studies that this behaviour carries over to accommodation establishments located in the destinations under study.

As China’s industrial structure continues to upgrade and optimize, the consumption capacity of rural residents gradually improves and the role of consumption in economic growth is increasingly prominent. Against the background of weak external demand, the untapped potential of rural consumption has become a key force in expanding domestic demand. As one of the important means that the government has long relied on, fiscal support for agriculture has played a crucial role in activating the rural consumer market. This manuscript aims to explore the impact of local fiscal support for agricultural expenditure (FSAE) on rural consumption in China, as well as to examine the mediating role of the level of rural financial development.

In this manuscript, the authors use the provincial panel data of 31 provinces in China from 2000 to 2020. The data of all variables mainly come from China Statistical Yearbook and China Rural Statistical Yearbook. According to the variable selection above, 651 sample data of 31 provinces and cities across China from 2000 to 2020 are organized. In terms of methodology, multiple fixed-effects panel model is applied to regression.

Firstly, FSAE varies significantly, while rural consumption slowly but steadily rises, with a relatively stable consumption structure. Secondly, FSAE has a significant positive effect on rural consumption. Thirdly, mediation testing indicates that mechanisms such as income, uncertainty and financial development have significant positive mediating effects on rural consumption. Thirdly, there is evident regional heterogeneity in FSAE’s impact on rural consumption. The Western regions, under government fiscal support, show a more significant effect on the elevation of rural consumption levels, while the role of FSAE in optimizing the consumption structure of rural residents in eastern and central regions is more pronounced.

Firstly, a systematic examination of local FSAE and rural consumption has been conducted, enriching relevant theories. Secondly, utilizing econometric empirical methods to research the relationship between local FSAE and rural consumption provides an exploratory extension to empirical studies on rural consumption in China. This offers empirical evidence for local fiscal support in agricultural development and the promotion of rural consumption.

By analyzing the mechanisms by which rural infrastructure resilience (RIR) impacted population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.

This study considered 213 administrative villages in Longxi County in the Longzhong loess hilly region as the evaluation unit. Based on the construction of a multidimensional RIR evaluation system, the spatial spillover effect of RIR on population loss was determined using the spatial Durbin model (SDM).

The average resilience of each subsystem of rural infrastructure in Longxi County was low, and there were large differences in the spatial distribution. The mean RIR index value was 0.2258, with obvious spatial directivity and agglomeration characteristics. The population loss index of Longxi County had a value of 0.1759, with 26.29 of villages having a high loss level. The population loss was relatively serious and was correlated with the spatial distribution of RIR. The villages with larger RIR index values had lower population loss. The RIR had a significant spatial spillover effect on population loss. Productive infrastructure resilience and living infrastructure resilience (LIR) had negative spillover effects on population loss, and social service infrastructure resilience (SSIR) had a positive spillover effect on population loss.

By analyzing the mechanisms by which RIR impacted on population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.

The primacy of commerce in livelihood security cannot be overstated. However, in a rural context defined by involuntary socio-ecological displacement, commerce can assume a sociologically distinct character, with far-reaching implications. Based on first-hand encounters with victims of the devastating 2014 flood in Tokwe-Mukorsi, Zimbabwe, this paper analyses how the processes of “recreating” village markets in the resettlement site of Chingwizi impacted the victims’ experiences of resource provisioning and livelihood security.

Qualitative data were collected through 10 in-depth interviews, 10 key informant interviews and two focus group discussions, five years into the flood victims’ resettlement in Chingwizi. The data analysis focused on the dynamics around the recreation of village markets, and the consequences of this on the household economic standing of the resettled flood victims.

The paper reveals how the formation of village markets in Chingwizi was influenced not primarily by the ethno-commercial and ethno-economic impulses reminiscent of life in their ancestral home but mostly by new, disruptive dynamics and challenges unique to the resettlement site. The paper elucidates the constellation of factors that, together, exacerbated the flood victims’ overall socio-economic dislocation and disadvantage.

The study provides a systematic understanding of the dynamics of ethno-commerce, particularly on the evolution of village market activities and livelihoods, among Zimbabwe’s Chingwizi community over a period of five years into their resettlement. It brings to the fore, the often ignored, but significant nuances that 'village market' formation and livelihoods recreation takes in a resettlement context.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0682

With increasing wine consumption in Armenia, both residents and inbound tourists have become attractive target groups for wine sales, which are stimulated by wine tourism activities. The objective of this explorative study is to shed light on the potential of wine tourism for rural development in Armenia.

The paper starts with a structured and interdisciplinary literature review. Based on qualitative surveys among local tour operators and wine producers, and complemented by three expert interviews, the offer of wine tourism activities in Armenia will then be analyzed.

Each of the surveyed wine producers offers wine tourism activities. Foreign tourists know little about the Armenian wine industry, however, and are interested in cultural experiences and Armenia’s breathtaking nature. Armenian wine producers need to understand the expectations of their target groups to develop or adapt their offers successfully.

Due to the explorative nature of this study, the sample size of the surveyed wineries and tour operators is small and hence not representative. In addition, only local tour operators were surveyed. The sample should be extended to include foreign tour operators and more wineries in future research projects.

Whereas first studies on the structure and competitiveness of the Armenian wine sector exist, there is no survey on the general wine tourism in Armenia and its potential to foster rural development.

As many businesses faced economic disruption due to the Covid-19 pandemic and sought financial relief, existing bank relationships became critical to getting a loan. This study examines factors associated with the development of personal relationships of rural small businesses with community bank representatives.

We applied a mixed-method approach. We employed descriptive statistics, principal factor analysis and logistic regression for data analysis. We distributed an online survey to rural small businesses in five states in the United States. Key informant interviews with community bank representatives supplemented the survey results.

A business owner’s trust in a banker was positively associated with the establishment of a business–bank relationship. However, an analysis of individual trust’s components revealed that the nature of trust is complex, and a failure of one or more components may lead to decreased trustworthiness in a banker. Small businesses that preferred personal communication with a bank were more inclined to relationship banking.

Due to the relatively small sample size and cross-sectional data, our results may not be conclusive but should be viewed as preliminary and as suggestions for future research. Bankers should be aware of the importance of trust for small business owners and of the actions that lead to increased trustworthiness.

The study extends the existing knowledge on the business–bank relationship by focusing mainly on social (instead of economic) factors associated with the establishment of the business–bank relationship in times of crisis and high uncertainty.

Integrating artificial intelligence and quantitative investment has given birth to various agricultural futures price prediction models suitable for nonlinear and non-stationary data. However, traditional models have limitations in testing the spatial transmission relationship in time series, and the actual prediction effect is restricted by the inability to obtain the prices of other variable factors in the future.

To explore the impact of spatiotemporal factors on agricultural prices and achieve the best prediction effect, the authors innovatively propose a price prediction method for China's soybean and palm oil futures prices. First, an improved Granger Causality Test was adopted to explore the spatial transmission relationship in the data; second, the Seasonal and Trend decomposition using Loess model (STL) was employed to decompose the price; then, the Apriori algorithm was applied to test the time spillover effect between data, and CRITIC was used to extract essential features; finally, the N-Beats model was selected as the prediction model for futures prices.

Using the Apriori and STL algorithms, the authors found a spillover effect in agricultural prices, and past trends and seasonal data will impact future prices. Using the improved Granger causality test method to analyze the unidirectional causality relationship between the prices, the authors obtained a spatial effect among the agricultural product prices. By comparison, the N-Beats model based on the spatiotemporal factors shows excellent prediction effects on different prices.

This paper addressed the problem that traditional models can only predict the current prices of different agricultural products on the same date, and traditional spatial models cannot test the characteristics of time series. This result is beneficial to the sustainable development of agriculture and provides necessary numerical and technical support to ensure national agricultural security.

Ecosystem-based livelihood diversification (ESLD) approaches have been identified as one of the best solutions to alleviate poverty and improve living standards in rural communities in developing nations. This study aims to elucidate the motivations that drive Sri Lankan women in rural agri-based community to adopt ESLD activities.

The sustainable livelihood approach (SLA) five pillars were used as a theoretical framework. This study was carried out with women living in farmer families located in Anuradhapura District, Sri Lanka. A purposive sampling technique was used, and semistructured interviews were performed with 46 women in a noncontrived setting. Deductive content analysis approach was used for answering research questions.

Making handcrafts using different plants, composting and home gardening are the major sources of ESLD of women in the study areas. Under the SLA factors, human resources include family size, education, vocational training, age and attitude. Social resources like participation in community work, family support received and becoming members in cooperatives encourage the women to partake in ESLD. Nonagriculture natural resources were considered as an incentive to engage in ESLD. Satisfaction with the income generated by the livelihood, other income sources and loans from the informal sector were the vital financial resources. Regarding the physical resources, the respondents were profound with infrastructure, marketplaces, training centers and tools/equipment.

Knowing the existing ESLD strategies and pointing out the determinant factors affecting women in practicing ESLD activities are unquestionably important in the provision of information to formulate an appropriate strategy for the development of the rural agri-based community.

Little is known about the ESLD efforts and the extent of adoption of ESLD practices by women in rural communities. The findings based on the SLA framework help to understand what is happening in livelihood diversifications in agri-based community and suggest important implications for the development of ESLD for the future.

The objective of this study is to explore the concept of rural coworking in the scientific literature and examine how it generates community narratives based on the value of space and business practices. This study aims to contribute to the understanding of rural coworking as a driver of participation and relationships among diverse stakeholders.

To identify and analyse trends and categories in rural coworking studies, understand the concept of rural coworking and how community narratives have been focused, the authors carried out a systematic literature review following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) tool. The review was performed using Scopus, obtaining 22 papers.

The findings reveal that rural coworking is on definition, but it emphasises the role of community as a main actor in its consolidation. On the other hand, rural coworking is seen as an opportunity to create impactful new business strategies through space regeneration and revitalisation. Management perspectives prevail in this research field, highlighting the role of public administrations, entrepreneurs and policymakers, and their capacities to build a business environment to enhance coworking activity.

The paper establishes conceptual categories and research trends in the rural coworking literature, and how its actors have a strategic importance in defining their own practices and narratives. The interrelationship between coworking activity and local business development is continually seen as an opportunity for growth, so this paper will have value for rural coworking planners and consultants in non-urban areas.