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A correlation has been shown in the literature between credit constraints and the adoption of agricultural technologies, technical efficiencies and measures for adapting to climate change. The relationship between credit constraints, risk management strategy adoption and income, however, is not well understood. Consequently, the purpose of this study was to investigate how credit constraints affect the income and risk management practices adopted by Northern Nigerian maize farmers.

Cross-sectional data were collected from 300 maize farmers in Northern Nigeria using a multi-stage sampling technique. Descriptive statistics, seemingly unrelated regression and double hurdle regression models were the analysis methods.

The results showed that friends and relatives, banks, “Adashe”, cooperatives and farmer groups were the main sources of credit in the study area. The findings also revealed that the sources of risk in the study area included production risk, economic risk, financial risk, institutional risk, technological risk and human risk. In addition, the risk management strategies used to mitigate observed risks were fertilizer application, insecticides, planting of disease-resistant varieties, use of herbicides, practising mixed cropping, modern planning, use of management tools as well as making bunds and channels. Furthermore, we found that interest rate, farm size, level of education, gender and marital status were significant determinants of statuses of credit constraints while the age of the farmer, gender, household size, primary occupation, access to extension services and income from maize production affected the choice and intensity of adoption of risk management strategies among the farmers.

The study concluded that credit constrained status condition of farmers negatively affected the adoption of some risk management strategies and maize farmers’ income.

The study concluded that credit constrained status condition of farmers negatively affected the adoption of some risk management strategies and maize farmers’ income. It therefore recommends that financial service providers should be engaged to design financial products that are tailored to the needs of smallholder farmers in the study area.

This paper incorporates the role of constraints in influencing farmers’ decisions to uptake credits and subsequently their adoption behaviours on risk management strategies. The researcher approached the topic with a state-of-the-art method which allows for obtaining more reliable results and hence more specific contributions to research and practice.

The study compares the social services functioning in two local contexts, one urban and one rural, in the same Italian region, to understand how contextual features affect frontline workers' work.

By applying the framework of the street-level bureaucracy theory (SLB) and proposing a framing of the spatial contexts under analysis, the present study adopts a qualitative approach. In particular, semi-structured interviews were conducted among street-level workers, decision-makers and privileged witnesses.

The study shows how the typical features of the rural and urban Italian contexts analyzed impact differently on the working conditions of frontline workers, leading to substantive differences in the possibility of exercise their role at the street-level.

The article contributes to a wider understanding of social services provision in a highly fragmented system like the Italian one by taking into consideration contexts that are usually little investigated in SLB and welfare studies in the Mediterranean Europe area: those rural and, in particular, those belonging to the so-called “inner areas”.

The objective of this research is to examine the accelerated adoption mechanisms of emerging technologies in information systems. Its goal is to comprehend the drivers behind the prompt assimilation of technology trends such as TikTok, ChatGPT, mobile payment schemes, cryptocurrency and VR.

The study follows the systematic literature review methodology (using the PRISMA protocol to guide the selection of scholarly materials from Google Scholar, Scopus and Springer). Specifically, the research draws on identified literature on the adoption trajectories of technologies (ChatGPT, TikTok, cryptocurrency, mobile payment systems, and virtual reality) to systematically assess pertinent insights, and draws on theoretical lenses of Disruptive Innovation Theory to reach interpretations.

The study indicates that the prompt assimilation of technology is shaped by several variables such as user-centered design, network effects, content powered through algorithms, viral trends, ease-of-use and accessibility features, engagement levels and retention rates.

The selection of specific platforms may limit the generalizability of findings.

The emergence of new technologies is causing a shift in societal behaviors and norms, which has significant social implications. While platforms such as TikTok offer opportunities for community-building, there are concerns regarding digital divide and privacy issues that need to be addressed. So understanding the impact of these changes becomes vital for achieving fairness in access and making technology's potential transformation practicalized effectively.

This research enhances the current body of literature by presenting a thorough examination of the non-linear patterns involved in adopting advanced technologies. By combining knowledge from numerous fields, this study delivers an integrated comprehension regarding what factors prompt swift adoption.

This paper aims to examine the alternative financing available for sustainable infrastructure development in Nigeria’s sub-nations. Specifically, the study question is: what financial vehicles do sub-nations seek most, and what are the underlying reasons for their preferences?

The study used a two-round Delphi method, using a questionnaire to gather data from high-ranking government officials in states that have localised sustainable development projects in Nigeria.

Results show that fundamental to sub-national sustainable infrastructure projects are federal allocations, pension funds, private equity, bonds and concessionary grants. Sub-nationals prefer these options, especially the emphasis on private equity, and the concessional funding through catalytic or blended finance because of their relatively lower or below-market interest rates.

The practical significance of this study is that the state’s policymakers can now identify appropriate strategies that enhance the shift towards these sustainable financing options, which will serve as a key catalyst in their 2030 and beyond vision to accelerate their state's infrastructure climate complaint. Equally, investors possessing funds with such attributes will gain an understanding of a prospective market within Nigeria’s sub-nation.

This study aims to improve the development of sustainable infrastructure in Nigeria’s sub-nations, which would have a beneficial effect on society by mitigating the effects of climate change.

The recommendations of this study can contribute to the development of innovative financial models for sub-national infrastructure development, thereby reducing reliance on revenue generated from fossil fuels.