Underdeveloped Regions Research Articles

The Interplay Between China’s Regulated and Voluntary Carbon Markets and Its Influence on Renewable Energy Development—A Literature Review

This is the first review study that focuses on the interplay between China’s regulated and voluntary carbon markets, the Emissions Trading System (ETS), the China Certified Emission Reduction (CCER) scheme, and their combined influence on the development of renewable energy in the country. Through a comparative literature review of 52 peer-reviewed academic papers published between 2009 and 2024, this study aims to elucidate how these market mechanisms interact to drive renewable energy deployment. The findings indicate that both the ETS and the CCER system positively affect China’s renewable energy landscape. The ETS, with its Cap-and-Trade (CaT) mechanism, sets a cap on total emissions and allows for the trading of emission quotas, thereby creating financial incentives for companies to reduce emissions and invest in renewable energy. The CCER scheme complements the ETS by allowing companies to use the CCER scheme for a capped share of their ETS certificates, whereby the lower CCER price diverts investments to where the saved ton of CO2 in China is cheapest, further incentivizing investments in renewable energy. This dual mechanism allows for a more flexible and cost-effective approach to achieving emission reduction targets, thereby fostering an environment conducive to investment in renewable energy. It will stimulate additional investment in renewable energy projects in the long run, particularly in economically underdeveloped regions, contributing to both local economic development and national emission reduction targets.

Language teacher emotional intelligence: A scoping review

The current study reviewed and synthesized empirical research on foreign/second language teacher emotional intelligence (EI) using a scoping review approach. Specifically, 15 articles published between 2018 and 2024 were included and analyzed with a particular emphasis on the theoretical perspectives, research themes, research background, and methodologies. The results indicated that there were a variety of models and theories in language teacher EI research, with the trait EI model and theories of self-efficacy and emotion regulation receiving the most attention. Moreover, most reviewed studies regarded language teacher EI as an independent variable or antecedent, examining its impact on other individual and environmental variables. Underdeveloped regions, other target languages apart from English, multilingual teachers, and primary or secondary school teachers haven’t received much attention in the included articles. Additionally, homogenization in research design among these studies was noticeable, with quantitative studies, cross-sectional design, and self-reported questionnaires being prevalent. Finally, implications were provided based on these findings for the further development of language teacher EI.

Study on the Impact of Entrepreneurship on Enterprise Performance in the Manufacturing Industry

Purpose: The study aims to explore the impact of entrepreneurship on the performance of manufacturing enterprises in China, focusing on specific traits of entrepreneurship such as innovation, risk-taking, and competitiveness. Additionally, it examines the relationship between entrepreneurship and regional economic growth, with an emphasis on how entrepreneurship drives enterprise performance, particularly in economically underdeveloped regions. Approach/Methodology/Design: The research uses empirical analysis based on sample data from listed manufacturing companies on China’s Shanghai and Shenzhen A-share markets. It employs regression models to assess the impact of entrepreneurship on enterprise performance. Indicators such as R&D investment, market share, and firm size serve as proxies for entrepreneurship traits, while principal component analysis is used to calculate scores for both entrepreneurship and enterprise performance. Control variables include regional economy and leadership structure. Sub-regional analysis is conducted to compare the impact of entrepreneurship across different economic regions. Findings: The results show that entrepreneurship, innovation spirit, risk-taking spirit, and competitive spirit all have significant positive impacts on enterprise performance. Additionally, in different economic regions, entrepreneurship generally has a positive impact on enterprise performance, with a greater effect observed in areas with lower economic development. Practical Implications: The study provides valuable insights for enterprises and policymakers. It suggests that enterprises can enhance their competitiveness by fostering entrepreneurial traits, increasing R&D investment, and efficiently managing financial leverage. Furthermore, governments should support entrepreneurship in underdeveloped regions through training and policy measures to stimulate regional economic growth. Originality/value: This study constructs a unique evaluation system for entrepreneurship from a micro perspective and verifies its positive impact on enterprise performance. This study innovatively explores the differential impact of entrepreneurship across various economic regions, providing new perspectives for future research on the relationship between regional economies and entrepreneurship.

Association of low socioeconomic status with cognitive decline among older persons in underdeveloped areas in China – a data analysis of the Gansu aging study

BackgroundIndividuals with low socioeconomic status (SES) bear a disproportionate share of the cognitive impairment (CI) burden, there are growing evidence focusing on socioeconomic inequalities in CI among older persons. However, data in the underdeveloped regions is limited. This study aims to measure socioeconomic inequalities in CI among individuals aged 65 years or older in Gansu, China, and determine the contributions of socioeconomic factors to the inequalities.MethodsData from the Gansu Aging Study in 2022 including 3241 participants. Participates’ SES was assessed by using education, income, and occupation. Multivariate logistic regression was conducted to identify the associated between SES and CI, and decomposition analysis was further applied to decompose the contribution of each determinant to the observed inequalities in CI. The SES inequalities in CI were illustrated and quantified by the concentration curve index.ResultsOverall, 24.2% of participants suffered from CI in the study. The likelihood of CI was lower among those with a medium SES (OR = 0.04, 95% CI:0.03, 0.07), good SES (OR = 0.06, 95% CI: 0.04, 0.09) compared to those with lower levels of SES. Older adults with mild depression (OR = 3.66, 95% CI:2.70,4.95), moderate-severe (OR = 2.82, 95% CI:2.05,3.88) were more likely to have CI in comparison to those with no depression and regular social activities were protective factors for CI (OR = 0.28, 95% CI:0.11,0.75). The concentration index indicated that CI was more concentrated in households with poor SES. Subsequently, SES explained 34.65% of socioeconomic inequality in CI.ConclusionThis study suggested that, approximately one-quarter of older persons suffered from CI in Gansu, China. Low SES was substantially associated with risk of CI. Although interventions to modify traditional risk factors may decrease the risk of CI, disparities by SES may remain without addressing SES itself.

Bridging the Digital Divide in Mexico: A Critical Analysis of Telecommunications Infrastructure and Predictive Models for Policy Innovation

This work presents an in-depth evaluation of the telecommunications landscape in Mexico from 2015 to 2023. The study’s primary focus is on the disparities in broadband access, telecommunications infrastructure, and digital inclusion across various regions, particularly between urban and rural areas. By employing predictive models and correlation analysis, the paper identifies key factors influencing technology adoption and service bundling in households. A significant contribution of this research lies in its identification of strong correlations between broadband access, GDP growth, and the penetration of multiple telecommunication services such as fixed telephony, broadband internet, and television. The predictive models developed offer crucial insights into the regional inequalities of digital access, revealing patterns that policymakers can use to prioritize infrastructure investments. The findings underscore the essential role of public policy innovation in promoting digital inclusion, particularly in underdeveloped regions, and provide a robust analytical framework for understanding how advanced telecommunications services contribute to socio-economic development. Through this analytical approach, the study demonstrates the critical relationship between telecommunications infrastructure and regional economic performance, offering data-driven recommendations to bridge the digital divide and enhance connectivity in underserved areas. The results offer significant value for future research and policy initiatives aimed at fostering equitable access to Information and communication technologies, promoting economic growth, and ensuring broader societal inclusion in the digital age.

Exploring Liminal Experience of Entrepreneurs in Information and Communication Technology Innovation in Underdeveloped Regions

Exploring Liminal Experience of Entrepreneurs in Information and Communication Technology Innovation in Underdeveloped Regions

Income Inequality Analysis in Sumatra (Case Study of South Sumatera, North Sumatera, West Sumatera Province)

One indicator of an area of high economic growth is a low level of income inequality. This study aims to determine the development of income inequality that occurs in the provinces of South Sumatra, West Sumatra and North Sumatra, as well as classify and analyze the province based on economic growth and income inequality. The Data used in this study is time series and cross section data with a six-year observation period of 2018-2023 with 3 provinces in Sumatra yajni South Sumatra, West Sumatra and North Sumatra. The methods of analysis used in this study are Wiliamson index analysis, Theil Entropy index analysis, and Klassen typology analysis. With the results of the study, the average level of income inequality in 2018-2023 is in the range of 0.30 to 0.59. The highest income inequality is in the province of South Sumatra 0.59 and North Sumatra 0.45. Inequality in West Sumatra province is at 0.30 then it is categorized as moderate inequality. From Klassen's typological analysis, using the average Wiliamson index in 2018 to 2023, South Sumatra is in Quadrant II which is a fast-growing region, West Sumatra and North Sumatra are in Quadrant IV of the relatively underdeveloped region. From the results of Klassen typology analysis in 2018-2023 regencies or cities in West Sumatra province are in Quadrant II and Quadrant IV, regencies/cities in North Sumatra are in Quadrant I, quadrant II and quadrant IV. While the district / city in South Sumatra province located in Quadrant II and Quadrant IV.

Bridging the Disparity: An Optimization Model for Equitable Allocation of Urban and Rural Educational Resources in Western China

The persistent disparity in educational resources between urban and rural areas in western China remains a critical barrier to achieving educational equity. This study addresses the critical issue by developing an innovative optimization model. The model aims to allocate financial, human, and physical resources effectively to minimize the educational quality gap between these regions. Using information from the China Education Panel Survey (CEPS) and concentrating on Xinjiang as a representative instance, our design integrates budget constraints, minimum resource requirements, and a unique regional prioritization factor. The goal of the objective function is to reduce the squared disparity in educational quality between city and rural regions. It thinks about variables such as Teacher-Student Ratio (TSR), Per Capita Investment (PCI), and Teaching Equipment Perfection (TEP). Our searchings for show that strategic resource distribution can considerably lessen educational inequalities in between metropolitan and country setups, especially by focusing on underdeveloped rural regions. Sensitivity analysis shows that customizing the local prioritization specification makes it possible for versatile policy strategies, ranging from equitable distribution to plainly sustaining rural regions. This study presents a pragmatic structure for boosting resource allotment in education. It supplies vital understandings for policymakers aiming to promote an extra equitable educational environment in Western China.

Diabetic Retinopathy Detection using CNN and Telemedicine

Diabetic Retinopathy (DR) is a leading cause of vision impairment and blindness among individuals with diabetes. Early detection and timely intervention are critical for preventing severe complications. However, the scarcity of ophthalmologists, especially in rural and underdeveloped regions, limits the accessibility of timely diagnosis and treatment. Telemedicine, combined with advanced artificial intelligence (AI) techniques, such as Convolutional Neural Networks (CNN), offers a promising solution for improving DR detection and patient care remotely. This paper presents a comprehensive survey of recent advancements in DR detection using CNN-based deep learning models, along with telemedicine frameworks for real-time consultation and treatment suggestions. We discuss the underlying architecture of CNN models and their role in automating retinal image classification.

Innovative management strategies for addressing paediatric medical staff shortages in underdeveloped cities in developing countries

BackgroundPaediatric professional scarcity and uneven distribution is acute in underdeveloped regions, exacerbated by COVID-19’s workload surge and burnout, highlighting the need for strengthened prevention and response measures.AimPropose an effective talent...

Women's self-reported symptoms of reproductive tract infection, medical consultations, and factors influencing them in less developed regions: perimenopausal and older women in need of urgent attention.

Reproductive tract infections (RTIs) represent a critical public health concern impacting women's health, particularly pronounced in developing countries. We aim to investigates the prevalence of self-reported RTI symptoms in women aged 18 to 65 and the factors influencing gynecological examination behavior and associated risks are explored. From May 6, 2022, to September 20, 2022, a comprehensive survey engaged 20,864 women aged 18 to 65 in 19 townships in Lueyang, Shaanxi. Each survey team, comprising a gynecologist, two female health center staff, and a master's student, conducted face-to-face questionnaire surveys in villages and households. The questionnaire featured three sections: prevalence of self-reported RTI symptoms, gynecological examination history, and factors influencing examination behavior. The high response rate of 98.69% yielded 20,590 valid questionnaires. Among surveyed women, 42.04% reported RTI symptoms, with a higher prevalence in those aged 30 and above, peaking at 44.88% in the 50-59 age group. Vulvar itching (24.73%), abnormal vaginal discharge (17.41%), and urinary tract irritation signs (11.73%) were most common. Older adult women (≥60) reported higher frequency and longer duration of symptoms. Only 9.88% of symptomatic women underwent gynecological examinations in 2022. Examination likelihood decreased with age, presenting a critical gap in healthcare utilization among older women. Reasons for checkups included routine checkups (47.02%), symptom concerns (41.29%), and the availability of free medical checkup programs (9.82%). Barriers included perceived lack of serious symptoms (23.7%), lack of necessity (4.41%) and lack of time (3.98%). Among those examined, 40.58% had a diagnosis of gynecological disorders, including pelvic inflammatory disease, human papilloma virus infection and cervical cancer. Widespread RTI symptoms, particularly in perimenopausal and older women, underscore the need for enhanced healthcare. Barriers to gynecological examinations include awareness, education, and accessibility issues. Strategies must prioritize health education, routine examinations, and improved healthcare infrastructure in underdeveloped regions.

When library cares: mining insights from LibQUAL+ to determine university students’ priorities

PurposeThis study aims to evaluate students' satisfaction with university library services in southern Punjab, Pakistan, emphasizing their perspective on service quality (SQ).Design/methodology/approachA LibQUAL+® survey with 22 core items was conducted within university settings using convenience sampling. In total, 345 usable responses were returned through Google Forms. Data analysis involved descriptive statistics, ordinal logistic regression test, Pearson and Deviance statistics and chi-square test to assess the satisfaction status of library users.FindingsThe study found that libraries generally meet SQ standards. However, there were minor gaps in information control (IC) and library as place (LP).Practical implicationsThe study provides library administrators with actionable insights to enhance services, encouraging stakeholders to adopt optimal library practices for heightened efficiency and user satisfaction.Social implicationsIt highlights the crucial role of libraries in shaping future societal progress by emphasizing the need for elevated user services. Librarians can use this knowledge to modify their planning and take impactful initiatives that align with the evolving needs of their users.Originality/valueWhile many studies have utilized LibQUAL, this research is unique for its focus on addressing university library services in underdeveloped regions facing economic challenges. It attempts to fill the information gap by offering a transferable approach for strategic priorities in similar settings.

Professionalisation of initial teacher education in China: 1974–2024

ABSTRACT Over the past 50 years, China’s initial teacher education (ITE) system has undergone significant changes and improvements. To review and reflect on these experiences, we construct a multi-level, context-specific conceptualisation of ITE professionalisation. Guided by this framework, we segment the history of ITE professionalisation into three phases: the specialising phase (1974–1998), the upgrading phase (1998–2012), and the quality-equity balancing phase (2012-present). The specialising phase is characterised by a single-purpose ITE system that is directly governed by educational authorities. The upgrading phase involves a policy-driven enhancement of ITE within higher education institutions and the transition from single-purpose to general-purpose institutions, reflecting broader transformations in higher education policies in China. The quality-equity balancing phase focuses on policies aimed at improving the quality of ITE while ensuring equitable access to high-quality teachers in underdeveloped regions and hard-to-staff rural schools. Our historical review contributes new insights into ITE research, offers practical implications for ITE reform and improvement, and raises questions for further investigation of ITE in both the Chinese context and internationally.

Entrepreneurial Sustainability: The Impact Mechanism of Opportunity Co-Creation on Entrepreneurial Action in Underdeveloped Regions

The external environment faced by underdeveloped regions is becoming increasingly complex, and the importance of entrepreneurial activities is gradually becoming prominent. To stimulate entrepreneurial vitality in underdeveloped regions, entrepreneurial opportunities are of paramount importance. In the current research on opportunity co-creation and entrepreneurial action, there is often an oversight regarding the liability of newness and the unique characteristics of underdeveloped regions, which has resulted in a lack of specificity in interpreting the underlying mechanisms at play. In this study, based on the perspective of opportunity co-creation, a survey of 330 entrepreneurs is conducted in four underdeveloped regions in China, namely, Hunan, Guizhou, Sichuan, and Chongqing, in an attempt to clarify the mechanism of opportunity co-creation in entrepreneurial action. The results show that opportunity co-creation not only has a direct positive impact on entrepreneurial action but also exerts an indirect positive effect through the mediating effect of opportunity belief. Additionally, regulatory focus plays a positive moderating role. Our study reveals that entrepreneurs in underdeveloped regions should be strict with their investors and partners to improve their belief in the chances of entrepreneurial success so as to efficiently co-create opportunities. Meanwhile, governments in underdeveloped regions should pay attention to creating a favorable entrepreneurial environment, actively building facilities that are conducive to entrepreneurial activities, and creating more entrepreneurial and employment opportunities to help entrepreneurial activities be carried out smoothly.

Role of Topical Insulin Management in Burns Patient Management

Thermal burn injuries impose significant physical and psychological distress, particularly in underdeveloped regions. Facilitating early wound healing is paramount to mitigate ensuing complications. Insulin, easily accessible, has emerged as a potential agent for expediting wound recovery. This study endeavors to assess the therapeutic efficacy of topical insulin in second and third-degree burn injuries. The research involved a 42-year-old male who was admitted with alleged history of suicidal burns involving his trunk, bilateral thigh, and bilateral axilla. The patient was initially managed with iv fluids and dressing done with insulin solution applied topically daily. Data collection encompassed demographic details, tissue culture findings, wound discharge, pain intensity, granulation tissue formation, and wound contraction.

Discovering temporal-spatial features of jobs-housing relationship from a regional perspective: A nationwide study

The recent developments in regionalization have redefined the concept of jobs-housing relationship, calling for reexaminations from the regional perspective. This paper studies the temporal and spatial features of jobs-housing relationship and their relations with regional mobility and regional structure in 2258 Quxians (urban districts or rural counties) across China based on 49 months of cellular signaling data. Results show that jobs-housing relationship differ between city types and have seasonal cycles and yearly trends reflecting the rhythm and development of human activity. The temporal variations in jobs-housing relationship are affected by regional mobility, and larger intercity travel volume leads to lower balance level. The spatial variations in jobs-housing relationship are influenced by the form of regional structure, as measured using the Zipf scaling exponent. More polarized regions are less balanced with exceptions in underdeveloped regions. There is an underlying inflection point in jobs-housing relationship that is similar to its long-term average value and reflects regional market equilibrium. This paper contributes to existing literature by providing a big-data driven nationwide jobs-housing study fully aware of the theoretical and practical needs of a regionalizing world. Findings advances our understanding of macroscopic jobs-housing relationship, and offers policy suggestions for governments across the globe.

Social conditions impact functional outcome in patients with hand osteoarthritis: the low-income hand osteoarthritis (LIHOA) cohort

BackgroundHand osteoarthritis (HOA) is a highly prevalent disease that may be impacted by social inequalities. Few studies in HOA are from underdeveloped regions. We intend to contribute to fill this gap presenting clinical characteristics of our low-income HOA cohort (LIHOA).MethodsData from 119 patients with a HOA diagnosis fulfilling ACR criteria seen between August 2019 and May 2023 in Fortaleza/Brazil. Evaluations included pain (VAS, visual analogue scale), X-ray (KL, Kellgren-Lawrence), grip and pinch strength (KgF), Cochin hand functional scale (CHFS), FIHOA, and SF-12 scores. Social data included monthly (<1, 1≥/<3, ≥3 MW) minimum wage earnings, occupation, and literacy [</≥ 9 school-years (SY)].Results107 out of the 119 patients were included. Mean age was 61.9 (±10.3) years with 94 (92%) women. Systemic arterial hypertension (48%), metabolic syndrome (42.8%), dyslipidemia (28.4%), and obesity (25%) were the most common comorbidities. Mean disease duration was 7.5 ± 7.1 years. Median VAS values at rest and activity were 3 (3–5) and 8 (5–9), respectively (p < 0.001). Fifty-seven (56.4%) patients had ≥4 symptomatic joints with a median of 4 (2–8) painful joints at activity. The 2nd distal interphalangeal (IF), joint was the most symptomatic (21; 23.3%) and most had >4 IF nodes. OA in other joints: 37 (36.2%) spine, 28 (29.4%) knee, 21 (20.5%) bunions. Functional impairment was mild [8 (5–14) median FIHOA]. Median serum CRP was 0.2 mg/dL (0.1–0.4) with 14 (20%) patients above reference value. Mean total KL score was 27.6 ± 13.6 with 21 (23%), 38 (41.7%), and 33 (36.2%) KL2, KL3, and KL4, respectively; 51 (54.8%) and 42 (45.2%) patients declared </≥3 MW earnings, respectively. Most declared >9SY including 37.2% with a university degree. Individuals earning <3 MW had lower pinch (p < 0.004) and grip strength (p < 0.01), and higher FIHOA scores (p < 0.007), as compared to ≥3 MW earning group. Literacy or occupation did not impact outcome. SYSADOA were used by 13 (12.7%), 6 used oral and 3 topical anti-inflammatory drugs and 2 used 5 mg/d prednisone.ConclusionClinical characteristics in our LIHOA cohort mirror those reported in affluent regions. Socioeconomic disparities influenced functional outcome in LIHOA cohort.

Community-based interventions for mitigating cognitive-linguistic decline in older adults.

This study focuses on exploring the effectiveness of interventions in two community-based language rehabilitation care centers located in an economically underdeveloped region of northwest China. The research focuses on 35 older adults with cognitive-linguistic decline enrolled in both centers. The interventions provided to the participants include auditory training, sign language use enhancement, second language interest classes, and the promotion of elderly-mode applications on smartphones. The interventions were particularly effective in enhancing auditory processing and language comprehension skills. Additionally, the promotion of elderly-mode applications on smartphones proved to be a valuable tool in improving participants' language cognition. The study underscores the importance of tailored community-based interventions in improving language skills and cognition and provides a basis for further research in this area.

Artificial Intelligence in Education Management: Opportunities, Challenges, and Solutions

Education management, as an integral part of management science, encompasses core functions such as organizing, planning, coordinating, and controlling educational resources, which closely align with the management concepts used in business administration. Whether in the field of education or business, managers need to improve organizational performance through effective strategy development, resource allocation, and decision-making support. The emergence of Artificial Intelligence (AI) has profoundly transformed several industries, and its impact on education is progressively gaining prominence.This paper explores the opportunities, challenges, and solutions associated with the integration of AI in the education sector. AI offers substantial benefits such as personalized learning experiences, automated educational management, and global access to shared educational resources, revolutionizing the traditional educational landscape. However, its application also presents significant challenges, including concerns over data privacy, the widening of the digital divide, and the evolving role of teachers.Through an analysis of both opportunities and challenges, this paper emphasizes the need for strategic measures to ensure the ethical and equitable use of AI in education. These measures include stronger policy frameworks for data protection, comprehensive teacher training programs for AI integration, and the promotion of global cooperation to bridge technological gaps in underdeveloped regions. Furthermore, the paper projects the potential future developments in AI-driven education, highlighting the importance of balancing technology with human interaction in the learning environment.By addressing both the benefits and risks associated with AI, this paper provides actionable insights for educators, policymakers, and technologists, aimed at creating a more inclusive, efficient, and innovative educational system. Future research should continue to examine AI's ethical implications and strive for solutions that ensure education remains accessible and fair in an increasingly AI-driven world.

‘The assisting hand’ or ‘the grabbing hand’: experimental evidence from PPP investments in the implementation of official rotation systems

In the context of uneven and insufficient social development, examining the relationship between the official rotation system and the quality of government services offers an effective guide to addressing government misconduct and reducing wealth disparities. This study employs a public goods game experiment to simulate the investment scenario of Public-Private Partnership (PPP) projects, focusing on three pivotal questions: Firstly, do the ‘assisting hand’ and the ‘grabbing hand’ of officials differ between developed and underdeveloped regions? Secondly, can the interregional rotation system enhance the ‘assisting hand’ and weaken the ‘grabbing hand’ in both areas? Lastly, can political tournaments more effectively alleviate the issue of ‘government misconduct’? The experimental results reveal: Firstly, low economic growth potential limits the ‘assisting hand’ of officials while fostering the ‘grabbing hand’; secondly, the interregional rotation system strengthens the ‘assisting hand’ in underdeveloped areas but weakens it in developed regions; finally, compared to the interregional rotation system, the tournament system reinforces the ‘assisting hand’ in developed regions. These findings provide micro-level insights into the relationship between official behavior and regional characteristics, and offer significant implications for the reform of governance policies.