Blockchain for decentralised rural development and governance

Merrell, Ian

doi:10.1016/j.bcra.2022.100086

Cited by 14 publications

(9 citation statements)

References 108 publications

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“…In terms of rural construction and governance, digital technologies are embedded in rural public spaces and public facilities, promoting the construction of rural civilization (Zhao et al, 2019;Zhang et al, 2021;Feng and Zhang, 2022), the convenience and low cost of the Internet. Cost breaks the original social structure, relational structure and geopolitical structure, reshapes the rural governance pattern, expands new ways and methods for multiple participation in rural governance, and realizes the digitization of governance (Wantchekon and Kosec, 2018;Ye and Liu, 2020;Merrel, 2022). Hodge et al (2017) took Clare, a rural town in South Australia, as an example.…”

Section: Introductionmentioning

confidence: 99%

Spatial and temporal effects of China’s digital economy on rural revitalization

Zhou

Dong

2023

Front. Energy Res.

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The paper constructs an evaluation index system of China’s digital economy and rural revitalization development, including 46 indicators of digital economy and rural revitalization subsystem, and analyzes the impact of China’s digital economy on rural revitalization by combining spatial Markov analysis method and spatial econometric model, and finds that:① The spatial heterogeneity of rural revitalization pattern is obvious, and the difference between north and south is more prominent, and the spatial clustering characteristic of rural revitalization pattern The spatial clustering characteristics are obvious, and the degree of clustering decreases with the increase of the spatial distance threshold. ② Digital economic development can significantly promote the level of rural revitalization in the region, and this finding is found to be robust by introducing the exogenous policy shock test of the Outline of Digital Rural Development Strategy, and digital economic development has a significant spatial siphon effect and can influence the level of rural revitalization in neighboring regions. Considering spatial heterogeneity, the regression results based on the multi-distance economic circle show that the siphoning effect of digital economy on rural revitalization in other regions peaks at 700 km ③Main contribution: It reveals that implementing a differentiated digital economy development strategy and enhancing the radiation of polarized regions are important for reducing regional differences in digital economy and rural revitalization to realize the coordinated development of China’s digital countryside.

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Section: Introductionmentioning

confidence: 99%

Spatial and temporal effects of China’s digital economy on rural revitalization

Zhou

Dong

2023

Front. Energy Res.

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“…As Chatzichristos and Hennebry (2023) suggest in their study that cohesive communities provide an enabling environment for innovative governance in marginalized rural areas, it is then possible to use local action groups as leaders responsible for defining and ensuring the implementation of rural development strategies. Merrell (2022), on the other hand, argues that blockchain technology has the potential to be a new innovative mechanism for the development and governance of decentralized rural communities. Barrow and Hicham (2000) pointed out that when villages take relevant control measures on land resource utilization, they should consider the relationship between local human beings and the environment, and link it with socioeconomic and political development.…”

Section: Discussionmentioning

confidence: 99%

How do socioeconomic differentiation and rural governance affect households' land transfer decisions? Evidence from China

Liu,

Wang,

Yang

et al. 2023

Land Degrad Dev

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In rural areas, social and economic differentiation profoundly impact rural development patterns, which, in return, impacts rural village social and economic structures and the land transfer decisions of rural households residing within the village. Research on agricultural land transfer has rarely been discussed under the lens of the differentiated socioeconomic structure of rural villages, as well as rural governance capacities. This paper contributes to the existing body of research on the determinants of rural land transfer by examining the role of village socioeconomic differentiation and rural governance based on a quantitative analysis of factors at different scales. The results show that: (1) compared with clan‐based unity structure, kinship‐based split structure and dispersed structure have a positive effect on household land out‐transfer and a negative effect on land in‐transfer. (2) The homogeneity of residents had a negative impact on out‐transfer, while the financial revenue of the village had significant positive influences on households' out‐transfer. (3) The higher the trust in cadres and the evaluation of the local government, the greater the tendency of households to transfer land in, but none of this effect is significant. (4) The socialized agricultural services and the share of non‐farm have significant effects on land transfer. Moreover, households with better geographical conditions, such as those near the county capital and towns, are more likely to transfer their land out. These findings offer significant insights for the management of agricultural scale and the revitalization of rural areas in China, while also offering valuable ideas for the implementation of differentiated agricultural control and rural governance policies in other countries.

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“…Digital-related services are widely available in rural areas that provide necessary services to citizens using an Internet connection. Digital technologies ensure the safety of products that occurred via the traceable system and detection process in the rural governance system [4,5].…”

Section: Introductionmentioning

confidence: 99%

Construction of Rural Governance Digital Driven by Artificial Intelligence and Big Data

Huang

2022

Mathematical Problems in Engineering

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Rural governance relies on distinct geographical, population, and fundamental service attributes for deploying digital construction and operation modes. The digital platform for rural governance includes surveying, identifying, and fulfilling the demands through application-specific user interactions. This article discloses a Modular Data Representation Method (MDRM) for improving the data semantics in digital platforms. The proposed method improves the presentation, analysis, and interaction in the governance process through requirements-based intelligent processing. The processing is performed based on the data organization as recommended by the regression learning paradigm. In this paradigm, the forward regression for data representation and service delegations are linearly analyzed. Based on the processing, the service requirement is met with big data availability. Therefore, the representation recommendations and data-driven analysis are provided through digital platform implications, improving the service availability. This is consistently provided based on the regressive outputs for data analysis. Therefore, the proposed method’s performance is analyzed using the metrics analysis time, data processing rate, and unavailability.

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Blockchain for decentralised rural development and governance

Cited by 14 publications

References 108 publications

Spatial and temporal effects of China’s digital economy on rural revitalization

Spatial and temporal effects of China’s digital economy on rural revitalization

How do socioeconomic differentiation and rural governance affect households' land transfer decisions? Evidence from China

Construction of Rural Governance Digital Driven by Artificial Intelligence and Big Data

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