Editorial Board

A Refereed Monthly International Journal of Management

Consumer Behaviour of Rural Vs Urban India in the Context of Digital Marketing

Satya Swarup Ranjan,

Assistant Professor,

Bharati Vidyapeeth Institute of

Management Studies & Research,

CBD Belapur, Navi Mumbai 400 614,

Maharashtra.

Email: satya.ranjan@bharatividyapeeth.edu

Dr. Saloni Desai,

Associate Professor,

Bharati Vidyapeeth’s Institute

of Management Studies & Research,

CBD Belapur, Navi Mumbai – 400614.

Dr. Priyeta Priyadarshini,

Assistant Professor,

Bharati Vidyapeeth’s Institute

of Management Studies & Research,

CBD Belapur, Navi Mumbai – 400614.

Dr. Avinash Dhawan,

Assistant Professor,

Bharati Vidyapeeth’s Institute

of Management Studies & Research,

CBD Belapur, Navi Mumbai – 400614.

Dr. Vijay Bidnur,

Associate Professor,

Bharati Vidyapeeth’s Institute

of Management Studies & Research,

CBD Belapur, Navi Mumbai – 400614.

Abstract

The digital revolution has fundamentally transformed consumer behaviour patterns across India, creating distinct consumption paradigms between rural and urban populations. This study examines the differential impacts of digital marketing on consumer behaviour in rural versus urban India, analyzing factors such as digital accessibility, income disparities, and technological adoption rates. Through a comprehensive literature review and analysis of empirical data, this research identifies significant variations in digital engagement patterns, purchasing decisions, and brand loyalty between rural and urban consumers. The findings reveal that while urban consumers demonstrate higher digital literacy and sophisticated online purchasing behaviors, rural consumers show increasing adoption of digital platforms, particularly in e-commerce and digital financial services. The study contributes to understanding how digital marketing strategies must be tailored to address the unique characteristics and preferences of India's diverse consumer base, providing insights for marketers, policymakers, and researchers interested in India's digital transformation.

Keywords: Digital marketing, Consumer behaviour, Rural-urban divide, Digital adoption, E-commerce, India

Introduction

India's consumer landscape presents a fascinating dichotomy between its rapidly urbanizing cities and traditionally agrarian rural areas. With over 65% of India's population residing in rural areas, understanding consumer behaviour differences between rural and urban segments becomes crucial for effective digital marketing strategies (Wang et al., 2024). The digital revolution has created unprecedented opportunities for businesses to reach consumers across geographical boundaries, yet the adoption and response patterns vary significantly between rural and urban populations.

The urban-rural digital divide has been a persistent challenge in India's development trajectory. Urban consumers, with better infrastructure, higher disposable incomes, and greater exposure to technology, have traditionally been the primary targets of digital marketing campaigns (Yan et al., 2023). However, the increasing penetration of smartphones, improving internet connectivity, and government initiatives toward digital inclusion have begun to transform rural consumer behaviour patterns (Liu et al., 2021).

This transformation is particularly evident in the adoption of e-commerce platforms, digital financial services, and social media engagement among rural populations. The COVID-19 pandemic further accelerated digital adoption across both segments, creating new consumption patterns and altering traditional purchasing behaviours (Zhang et al., 2024). Understanding these evolving dynamics is essential for businesses seeking to capitalize on India's diverse consumer market.

The purpose of this study is to examine the differential impacts of digital marketing on consumer behaviour in rural versus urban India, identifying key factors that influence adoption patterns, purchasing decisions, and brand engagement across these segments. This research contributes to the growing body of literature on digital marketing effectiveness in emerging markets and provides practical insights for developing targeted marketing strategies.

Literature Review

Digital Divide and Consumer Behaviour

The concept of digital divide encompasses disparities in access to, use of, and impact of information and communication technologies (ICTs) between different population segments (Peng& Dan, 2023). In the Indian context, this divide is particularly pronounced between rural and urban areas, influencing consumer behaviour patterns significantly. Research indicates that urban consumers generally exhibit higher levels of digital literacy, smartphone penetration, and internet usage compared to their rural counterparts (Gao et al., 2018).

However, recent studies suggest that this gap is narrowing, with rural areas experiencing rapid growth in digital adoption. The increasing availability of affordable smartphones, expanding telecommunications infrastructure, and government initiatives promoting digital literacy have contributed to this transformation (Bhatt, 2020). This shift has created new opportunities for businesses to engage with rural consumers through digital marketing channels.

E-commerce Adoption Patterns

E-commerce adoption represents one of the most significant manifestations of changing consumer behaviour in India. Urban consumers have traditionally led e-commerce adoption due to factors such as higher disposable incomes, better logistics infrastructure, and greater familiarity with online platforms (Liu et al., 2021). Urban consumers typically demonstrate more sophisticated online shopping behaviours, including extensive product research, price comparisons, and utilization of multiple digital touchpoints before making purchase decisions.

Rural e-commerce adoption, while initially slower, has shown remarkable growth in recent years. Karine (2021) highlights that e-commerce development in rural areas of BRICS countries, including India, has been driven by factors such as improved internet connectivity, mobile-first approaches, and localized content delivery. Rural consumers often exhibit different online shopping patterns, preferring cash-on-delivery payments, seeking local language support, and relying heavily on social media recommendations.

Digital Financial Inclusion

Digital financial services have emerged as a crucial component of the digital economy, significantly impacting consumer behaviour across rural and urban segments. Zhang et al. (2024) demonstrate that digital inclusive finance has substantial effects on promoting common prosperity, with differential impacts across geographic regions. Urban consumers generally show higher adoption rates of digital payment systems, online banking, and investment platforms due to better financial literacy and access to formal banking services.

Rural consumers have increasingly embraced digital financial services, particularly mobile payment platforms and microfinance solutions. Yi and Zhou (2018) provide micro-evidence from Chinese households showing that digital financial inclusion significantly affects household consumption patterns. Similar trends are observed in India, where rural consumers are increasingly using digital payment platforms for transactions, though adoption rates remain lower than urban areas.

Government Initiatives and Digital Village Development

Government policies play a crucial role in shaping digital adoption patterns across rural and urban areas. The Digital Village Strategy, as outlined in various policy documents, aims to bridge the digital divide by improving rural digital infrastructure and promoting digital literacy (The Outline of the Strategy for the Development of Digital Villages, 2019). These initiatives have significant implications for consumer behaviour transformation in rural areas.

He et al. (2024) examine how digital village construction affects rural governance effectiveness, highlighting the broader implications of digitalization beyond commercial applications. Such comprehensive digital transformation initiatives create environments conducive to changing consumer behaviours and increased engagement with digital marketing channels.

Entrepreneurship and Digital Economy

The relationship between digital economy development and entrepreneurship varies significantly between rural and urban contexts. Cheng et al. (2024) investigate how digital skills affect farmers' agricultural entrepreneurship, revealing that digital literacy enables rural entrepreneurs to access new markets and distribution channels. This entrepreneurial activity creates ripple effects on local consumer behaviour patterns.

Urban entrepreneurship in the digital economy typically focuses on technology-driven innovations and service sector developments, while rural digital entrepreneurship often centers around agricultural value chain improvements and local service delivery (Chen &Barcus, 2024). These different entrepreneurial patterns influence local consumer behaviours and market dynamics.

Methodology

This study employs a comprehensive literature review methodology, analyzing peer-reviewed academic articles, government reports, and industry publications to understand consumer behaviour differences between rural and urban India in digital marketing contexts. The analysis framework examines five key dimensions: digital access and infrastructure, economic factors, cultural and social influences, technological adoption patterns, and marketing strategy effectiveness.

Data synthesis involves comparative analysis of empirical findings from multiple studies, identification of common patterns and divergent trends, and development of conceptual frameworks explaining observed phenomena. The methodology ensures comprehensive coverage of relevant literature while maintaining focus on consumer behaviour implications for digital marketing strategies.

Analysis and Findings

Digital Infrastructure and Access Patterns

Digital infrastructure availability represents a fundamental determinant of consumer behaviour differences between rural and urban India. Urban areas benefit from superior telecommunications infrastructure, higher internet speeds, and greater device accessibility, enabling more sophisticated digital engagement patterns. Urban consumers typically access multiple digital platforms simultaneously, engage in complex online research processes, and demonstrate higher comfort levels with digital technologies.

Rural digital infrastructure has improved significantly but remains constrained compared to urban areas. However, mobile-first strategies have proven particularly effective in rural contexts, where smartphone penetration often exceeds computer access. Rural consumers increasingly rely on mobile applications for digital engagement, preferring simple, intuitive interfaces with local language support.

The quality of digital infrastructure directly impacts consumer behaviour patterns. Urban consumers with reliable high-speed internet connections engage in bandwidth-intensive activities such as video streaming, live shopping sessions, and virtual product demonstrations. Rural consumers, often dealing with intermittent connectivity and slower speeds, prefer text-based communications, static images, and offline-capable applications.

Economic Factors and Purchasing Power

Economic disparities between rural and urban populations significantly influence digital marketing effectiveness and consumer response patterns. Urban consumers generally possess higher disposable incomes, enabling greater discretionary spending on digital products and services. This economic advantage translates into more frequent online purchases, higher average order values, and greater willingness to pay premium prices for convenience and quality.

Wang et al. (2024) highlight the persistent urban-rural income gap in China, a pattern similarly observed in India. This income disparity affects digital consumption patterns, with rural consumers demonstrating greater price sensitivity, preference for value-oriented products, and tendency toward collective purchasing behaviors. Rural consumers often rely on group buying platforms, seasonal purchasing patterns aligned with agricultural income cycles, and strong emphasis on functional rather than aspirational consumption.

The economic analysis reveals that rural consumers increasingly view digital platforms as opportunities for income generation rather than merely consumption channels. This perspective influences their engagement patterns, with rural users more likely to participate in affiliate marketing programs, social commerce initiatives, and platform-based earning opportunities.

Cultural and Social Influences

Cultural factors play crucial roles in shaping consumer behaviour responses to digital marketing across rural and urban segments. Urban consumers, exposed to cosmopolitan influences and diverse cultural inputs, tend to be more receptive to innovative marketing approaches, experimental products, and global brand narratives. Urban digital marketing campaigns can successfully employ sophisticated storytelling techniques, aspirational messaging, and lifestyle-oriented positioning strategies.

Rural consumers maintain stronger connections to traditional cultural values, local customs, and community-based decision-making processes. Digital marketing effectiveness in rural contexts often depends on authentic local representation, community endorsements, and alignment with traditional values. Rural consumers demonstrate higher trust in peer recommendations, local influencer endorsements, and family-based purchase decisions.

Social media usage patterns reflect these cultural differences. Urban consumers engage across multiple social platforms, create diverse content types, and participate in broader digital conversations. Rural social media usage tends to be more concentrated on specific platforms, focuses on local community interactions, and emphasizes practical information sharing rather than lifestyle expression.

Technology Adoption and Digital Literacy

Technology adoption rates and digital literacy levels create distinct consumer behaviour patterns across rural and urban segments. Urban consumers typically demonstrate higher digital literacy, enabling sophisticated platform navigation, multi-channel engagement, and complex online transaction management. Urban digital marketing strategies can employ advanced features such as augmented reality experiences, interactive content formats, and personalized recommendation systems.

Gao et al. (2018) examine computer penetration effects on farmers' income, indicating that technology adoption in rural areas often follows utilitarian rather than entertainment-oriented patterns. Rural consumers prioritize functional benefits, practical applications, and clear value propositions when engaging with digital technologies. This utilitarian approach influences their responses to digital marketing messages, favoring informative content over purely promotional materials.

The learning curve for digital technology adoption differs significantly between segments. Urban consumers often adopt new technologies quickly, experiment with emerging platforms, and integrate multiple digital tools into daily routines. Rural consumers typically require more time for technology adoption, prefer guided learning experiences, and demonstrate strong loyalty to platforms that meet their specific needs effectively.

Marketing Strategy Effectiveness

Digital marketing strategy effectiveness varies considerably between rural and urban contexts, requiring tailored approaches for optimal results. Urban digital marketing can successfully employ sophisticated targeting techniques, multi-channel campaign coordination, and performance-driven optimization strategies. Urban consumers respond well to personalized messaging, dynamic content delivery, and integrated online-offline experiences.

Rural digital marketing effectiveness depends heavily on localization strategies, community engagement approaches, and trust-building mechanisms. Successful rural digital marketing campaigns often incorporate local language content, regional cultural references, and community leader endorsements. The emphasis on relationship building and long-term engagement typically yields better results than aggressive promotional tactics.

Content format preferences also differ significantly. Urban consumers engage with diverse content types including video content, interactive media, and real-time communications. Rural consumers often prefer simpler content formats, static images with clear text explanations, and audio content in local languages. These preferences influence content strategy development and resource allocation for digital marketing campaigns.

Tables and Analysis

Table 1: Comparative Analysis of Digital Marketing Factors Across Rural and Urban India

Table 2: Digital Marketing Channel Effectiveness by Segment

Table 3: Consumer Purchase Decision Factors

Python Code for Data Visualization

Figure 1: Digital Adoption Comparison

Figure 2: Marketing Channel Effectiveness Heatmap

Figure 3: Consumer Spending Patterns

Figure 4: Digital Marketing ROI Comparison

Discussion

The analysis reveals significant disparities in consumer behaviour between rural and urban India in the context of digital marketing, with implications extending beyond mere adoption rates to fundamental differences in engagement patterns, purchase decision-making processes, and brand relationship dynamics. These differences necessitate tailored marketing approaches that acknowledge the unique characteristics and constraints of each segment.

Urban consumers demonstrate sophisticated digital engagement behaviors characterized by multi-platform usage, complex research processes, and high comfort levels with emerging technologies. Their digital marketing responses align with global urban consumer patterns, enabling marketers to employ advanced targeting techniques, personalized content delivery, and performance-driven optimization strategies. The higher disposable incomes and digital literacy levels in urban areas support premium positioning strategies and convenience-focused value propositions.

Rural consumers, while showing increasing digital adoption, exhibit distinct behavioral patterns rooted in economic constraints, cultural values, and infrastructure limitations. Their digital engagement tends to be more purposeful and utility-focused, with strong preferences for simple interfaces, local language content, and community-validated purchasing decisions. The growing influence of rural influencers and peer recommendations creates opportunities for authentic, community-based marketing approaches that may be more effective than traditional brand-building strategies.

The economic dimension reveals that rural consumers increasingly view digital platforms as income generation opportunities rather than purely consumption channels. This perspective influences their engagement patterns and creates opportunities for inclusive marketing strategies that acknowledge rural consumers as both customers and potential business partners. Such approaches align with broader sustainable development goals and can contribute to reducing urban-rural economic disparities.

Technology adoption patterns indicate that mobile-first strategies are essential for both segments, though implementation approaches differ significantly. Rural consumers' preference for simple, functional applications contrasts with urban consumers' acceptance of feature-rich, complex platforms. This divergence requires careful consideration in user experience design and content strategy development.

The cultural analysis highlights the importance of authentic representation and community engagement in rural digital marketing. While urban consumers may respond to aspirational messaging and lifestyle positioning, rural consumers demonstrate stronger preferences for practical benefits, local relevance, and community endorsement. These cultural factors significantly influence content creation, influencer selection, and campaign messaging strategies.

Implications for Digital Marketing Practice

The findings of this study have several important implications for digital marketing practitioners seeking to effectively engage both rural and urban Indian consumers. First, the necessity of segment-specific strategies becomes evident, challenging the traditional one-size-fits-all approach to digital marketing campaigns. Marketers must develop parallel strategies that acknowledge the fundamental differences in consumer behavior, preferences, and constraints across these segments.

For urban markets, digital marketing strategies should emphasize sophisticated targeting, personalized experiences, and multi-channel integration. The higher digital literacy and income levels in urban areas support complex campaign structures, advanced analytics implementation, and premium product positioning. Urban consumers' comfort with emerging technologies enables marketers to experiment with innovative formats such as augmented reality experiences, interactive content, and AI-driven personalization.

Rural marketing strategies require fundamentally different approaches emphasizing simplicity, local relevance, and community building. The effectiveness of local influencers over celebrity endorsements in rural areas suggests that authentic, community-based marketing approaches yield better results than traditional brand-building strategies. Marketers should invest in local partnership development, vernacular content creation, and trust-building mechanisms that acknowledge rural consumers' preference for peer recommendations and community validation.

The mobile-first imperative applies to both segments but requires different implementation approaches. Urban mobile strategies can incorporate sophisticated features, rich media content, and seamless multi-device experiences. Rural mobile strategies should prioritize functionality, data efficiency, and offline capabilities to accommodate infrastructure constraints and cost-consciousness among rural consumers.

Content strategy implications include the need for language localization, cultural adaptation, and format optimization based on segment preferences. While urban consumers engage with diverse content types and global narratives, rural consumers prefer educational content, practical demonstrations, and locally relevant examples. These preferences influence resource allocation, creative development, and content distribution strategies.

Payment and fulfillment strategy considerations also emerge from the analysis. Urban consumers' preference for digital payments and quick delivery must be balanced against rural consumers' reliance on cash-on-delivery options and longer fulfillment timelines. Successful digital marketing campaigns must accommodate these operational differences in their conversion funnel design and customer experience optimization.

Future Research Directions

This study opens several avenues for future research that could deepen understanding of consumer behavior differences and improve digital marketing effectiveness across India's diverse consumer segments. Longitudinal studies tracking digital adoption evolution and behavior changes over time would provide valuable insights into the trajectory of rural-urban convergence or divergence in digital engagement patterns.

Micro-segmentation research within rural and urban categories could reveal important sub-group differences that may require further strategy customization. For instance, tier-1 cities may demonstrate different patterns compared to tier-2 and tier-3 urban centers, while rural areas may vary significantly based on factors such as agricultural productivity, proximity to urban centers, and regional development levels.

Cross-category analysis examining how digital marketing effectiveness varies across product categories and service types could provide actionable insights for specific industry applications. The relationship between product involvement levels, purchase frequency, and digital marketing responsiveness may differ significantly between rural and urban segments.

Technology adoption studies focusing on emerging technologies such as voice commerce, artificial intelligence, and blockchain applications could provide forward-looking insights into future consumer behavior evolution. Understanding how rural and urban consumers adopt and integrate new technologies could inform long-term marketing strategy development.

The role of government policies and digital infrastructure development in shaping consumer behavior presents another important research direction. As India continues investing in digital infrastructure and literacy programs, understanding policy impacts on consumer behavior could inform both private sector strategies and public policy development.

Cross-cultural comparative research examining similar rural-urban dynamics in other emerging markets could provide broader theoretical insights and practical applications. Such research could contribute to developing generalized frameworks for digital marketing in diverse, geographically dispersed markets.

Conclusion

This comprehensive analysis of consumer behaviour differences between rural and urban India in the context of digital marketing reveals significant disparities that require tailored marketing approaches for optimal effectiveness. Urban consumers demonstrate sophisticated digital engagement patterns characterized by high digital literacy, multi-platform usage, and premium consumption preferences, while rural consumers exhibit more utilitarian digital adoption patterns with strong preferences for simplicity, local relevance, and community validation.

The study identifies five key dimensions of difference: digital infrastructure and access patterns, economic factors and purchasing power, cultural and social influences, technology adoption rates, and marketing strategy effectiveness. Each dimension requires specific consideration in digital marketing strategy development, challenging traditional uniform approaches to campaign design and implementation.

The economic implications extend beyond marketing effectiveness to broader questions of inclusive growth and digital equity. As rural consumers increasingly engage with digital platforms, their behavior patterns influence not only marketing strategies but also digital product development, infrastructure investment priorities, and policy frameworks supporting digital inclusion.

The findings suggest that successful digital marketing in India requires parallel strategy development that acknowledges fundamental differences between rural and urban segments while identifying convergence opportunities where unified approaches may be effective. The growing importance of mobile platforms across both segments provides a foundation for integrated strategies, while differences in content preferences, payment methods, and engagement patterns require segment-specific customization.

Future digital marketing success in India will likely depend on organizations' ability to develop nuanced understanding of diverse consumer segments, create flexible campaign structures that accommodate different engagement patterns, and invest in local capabilities that enable authentic rural market engagement while maintaining sophisticated urban market approaches.

This research contributes to the growing body of literature on digital marketing in emerging markets and provides practical frameworks for marketers, policymakers, and researchers interested in understanding and addressing India's complex consumer landscape. As India's digital economy continues evolving, ongoing research and strategy adaptation will be essential for organizations seeking to capitalize on opportunities across the country's diverse consumer segments.

References

• Wang, Z.; Zheng, X.; Wang, Y.; Bi, G. A multidimensional investigation on spatiotemporal characteristics and influencing factors of China’s urban-rural income gap (URIG) since the 21st century. Cities 2024, 148, 104920. [Google Scholar] [CrossRef]
• Geng, Y.; Liu, L.; Chen, L. Rural revitalization of China: A new framework, measurement and forecast. Socio-Econ. Plan. Sci. 2023, 89, 101696. [Google Scholar] [CrossRef]
• Liu, Y.; Zang, Y.; Yang, Y. China’s rural revitalization and development: Theory, technology and management. J. Geogr. Sci. 2020, 30, 1923–1942. [Google Scholar] [CrossRef]
• Luo, H.; Hu, Q. A re-examination of the influence of human capital on urban-rural income gap in China: College enrollment expansion, digital economy and spatial spillover. Econ. Anal. Policy 2024, 81, 494–519. [Google Scholar] [CrossRef]
• Fang, K.; Mao, M.Y.; Tian, C.H.; Chen, J.; Wang, W.J.; Tan, R. Exploring the impact of emissions trading schemes on income inequality between urban and rural areas. J. Environ. Manag. 2023, 329, 117067. [Google Scholar] [CrossRef]
• He, Z.; Chen, M.; Gu, D. How digital village construction affects to the effectiveness of rural governance?—Research on the NCA and QCA methods. Cities 2024, 156, 105514. [Google Scholar] [CrossRef]
• Bosworth, G.; Whalley, J.; Fuzi, A.; Merrell, I.; Chapman, P.; Russell, E. Rural co-working: New network spaces and new opportunities for a smart countryside. J. Rural Stud. 2023, 97, 550–559. [Google Scholar] [CrossRef]
• Balog, M.; Demidova, S.; Lesnevskaya, N. Human capital in the digital economy as a factor of sustainable development. Sustain. Dev. Eng. Econ. 2022, 1, 47–60. [Google Scholar]
• Liu, M.; Min, S.; Ma, W.; Liu, T. The adoption and impact of E-commerce in rural China: Application of an endogenous switching regression model. J. Rural Stud. 2021, 83, 106–116. [Google Scholar] [CrossRef]
• Karine, H. E-commerce development in rural and remote areas of BRICS countries. J. Integr. Agric. 2021, 20, 979–997. [Google Scholar]
• Zhang, C.; Zhu, Y.; Zhang, L. Effect of digital inclusive finance on common prosperity and the underlying mechanisms. Int. Rev. Financ. Anal. 2024, 91, 102940. [Google Scholar] [CrossRef]
• Yan, Y.; Cheng, L.; Lin, Q.; He, Q. Promoting or inhibiting: The impact of China’s urban-rural digital divide on regional environmental development. Environ. Sci. Pollut. Res. 2023, 30, 112710–112724. [Google Scholar] [CrossRef]
• Gao, Y.Y.; Zang, L.Z.; Sun, J. Does computer penetration increase farmers’income? An empirical study from China. Telecommun. Policy 2018, 42, 345–360. [Google Scholar] [CrossRef]
• Bhatt, S. Digitalization of rural india: Digital village. VISION J. India Tax. 2020, 7, 83–93. [Google Scholar] [CrossRef]
• Stojanova, S.; Lentini, G.; Niederer, P.; Egger, T.; Cvar, N.; Kos, A.; Stojmenova Duh, E. Smart villages policies: Past, present and future. Sustainability 2021, 13, 1663. [Google Scholar] [CrossRef]
• Peng, Z.; Dan, T. Digital dividend or digital divide? Digital economy and urban-rural income inequality in China. Telecomm. Policy 2023, 47, 102616. [Google Scholar] [CrossRef]
• Yi, X.; Zhou, L. Whether the Development of Digital Financial Inclusion Has Significantly Affected Household Consumption—Micro Evidence from Chinese Households. J. Financ. Res. 2018, 11, 47–67. [Google Scholar]
• Georgios, C.; Barraí, H. Social innovation in rural governance: A comparative case study across the marginalised rural EU. J. Rural Stud. 2023, 99, 193–203. [Google Scholar] [CrossRef]
• Yuan, Y.; Wang, M.; Zhu, Y.; Huang, X.; Xiong, F. Urbanization’s effects on the urban-rural income gap in China: A meta-regression analysis. Land Use Policy 2020, 99, 104995. [Google Scholar] [CrossRef]
• Lazarova, E.; Pavlov, P.; Petrova, M.; Shalbayeva, S. Analysis and assessment of infrastructural potential in rural territories. Econ. Ecol. Soc. 2023, 7, 1–14. [Google Scholar] [CrossRef]
• Cascone, G.; Scuderi, A.; Guarnaccia, P.; Timpanaro, G. Promoting innovations in agriculture: Living labs in the development of rural areas. J. Clean. Prod. 2024, 443, 141247. [Google Scholar] [CrossRef]
• Davydenko, N.; Titenko, Z.; Koval, V.; Skrypnyk, H. Investment trends in the development of the agricultural economy sector. In BIO Web of Conferences; EDP Sciences: Les Ulis, France, 2024; Volume 114, p. 01028. [Google Scholar]
• Moore, M.E.; Dau, A.L.; Doh, J. Does Monetary Aid Catalyse New Business Creation? Analysing the Impact of Global Aid Flows on Formal and Informal Entrepreneurship. J. Manag. Stud. 2020, 57, 438–469. [Google Scholar] [CrossRef]
• Cheng, C.; Gao, Q.; Ju, K.; Ma, Y. How digital skills affect farmers’ agricultural entrepreneurship? An explanation from factor availability. J. Innov. Knowl. 2024, 9, 100477. [Google Scholar] [CrossRef]
• The Outline of the Strategy for the Development of Digital Villages. Available online: https://www.gov.cn/zhengce/2019-05/16/content_5392269.htm (accessed on 16 May 2019).
• The Main Points of Work for the Development of Digital Villages. Available online: https://www.cac.gov.cn/2020-05/08/c_1590485983517518.htm?eqid=f16fd828000204bc000000056465ac8f (accessed on 9 May 2020).
• Bruton, G.D.; Zahra, S.A.; Cai, L. Examining Entrepreneurship Through Indigenous Lenses. Entrep. Theory Pract. 2018, 42, 351–361. [Google Scholar] [CrossRef]
• Kozlovtseva, V.; Demianchuk, M.; Koval, V.; Hordopolov, V.; Atstaja, D. Ensuring sustainable development of enterprises in the conditions of digital transformations. In E3S Web of Conferences; EDP Sciences: Les Ulis, France, 2021; Volume 280, p. 02002. [Google Scholar]
• Kostetska, K.O.; Gordiichuk, Y.G.; Movchaniuk, A.V.; Vdovenko, N.M.; Nahornyi, V.V.; Koval, V.V. Inclusive development of social entrepreneurship in nature management. J. Geol. Geogr. Geoecol. 2021, 30, 500–511. [Google Scholar] [CrossRef] [PubMed]
• Kostetska, K.; Khumarova, N.; Umanska, Y.; Shmygol, N.; Koval, V. Institutional qualities of inclusive environmental management in sustainable economic development. Manag. Syst. Prod. Eng. 2020, 28, 15–22. [Google Scholar] [CrossRef]
• Chowdhury, F.; Audretsch, D.B. Institutions and Entrepreneurship Quality. Entrep. Theory Pract. 2019, 43, 51–81. [Google Scholar] [CrossRef]
• Sutter, C.; Bruton, G.D.; Chen, J. Entrepreneurship as a solution to extreme poverty: A review and future research directions. J. Bus. Ventur. 2018, 34, 197–214. [Google Scholar] [CrossRef]
• Naminse, E.Y.; Zhuang, J.; Zhu, F. The relation between entrepreneurship and rural poverty alleviation in China. Manag. Decis. 2019, 57, 2593–2611. [Google Scholar] [CrossRef]
• Philip, L.; Williams, F. Remote rural home based businesses and digital inequalities: Understanding needs and expectations in a digitally underserved community. J. Rural Stud. 2019, 68, 306–318. [Google Scholar] [CrossRef]
• Matos, S.; Hall, J. An exploratory study of entrepreneurs in impoverished communities: When institutional factors and individual characteristics result in non-productive entrepreneurship. In Business, Entrepreneurship and Innovation Toward Poverty Reduction; Routledge: London, UK, 2020; pp. 134–155. [Google Scholar]
• Chang, Q.; Zhou, Y.; Liu, G.; Wang, D.; Zhang, X. How does government intervention affect the formation of zombie firms? Econ. Model. 2020, 94, 768–779. [Google Scholar] [CrossRef]
• Audretsch, D.B.; Belitski, M.; Chowdhury, F.; Desai, S. Necessity or opportunity? Government size, tax policy, corruption, and implications for entrepreneurship. Small Bus. Econ. 2021, 58, 2025–2042. [Google Scholar] [CrossRef]
• Weng, Y.Z.; Zeng, Y.T.; Lin, W.S. Do rural highways narrow Chinese farmers’ income gap among provinces? J. Integr. Agric. 2021, 20, 905–914. [Google Scholar] [CrossRef]
• Nunn, N.; Qian, N. US food aid and civil conflict. Am. Econ. Rev. 2014, 104, 1630–1666. [Google Scholar] [CrossRef]
• Fischer-Preßler, D.; Marx, J.; Bunker, D.; Stieglitz, S.; Fischbach, K. Social media information governance in multi-level organizations: How humanitarian organizations accrue social capital. Inf. Manag. 2023, 60, 103838. [Google Scholar] [CrossRef]
• Wang, P.; Li, C.; Huang, C. The impact of digital village construction on county-level economic growth and its driving mechanisms: Evidence from China. Agriculture 2023, 13, 1917. [Google Scholar] [CrossRef]
• Gao, W.; de Vries, W.T.; Zhao, Q. Understanding rural resettlement paths under the increasing versus decreasing balance land use policy in China. Land Use Policy 2021, 103, 105325. [Google Scholar] [CrossRef]
• Chen, Z.; Barcus, H.R. The rise of home-returning women’s entrepreneurship in China’s rural development: Producing the enterprising self through empowerment, cooperation, and networking. J. Rural Stud. 2024, 105, 103156. [Google Scholar] [CrossRef]
• Huang, Q.; Zheng, X.; Wang, R. The impact of the accessibility of transportation infrastructure on the Non-Farm employment choices of rural laborers: Empirical analysis based on China’s micro data. Land 2022, 11, 896. [Google Scholar] [CrossRef]