Low Level Of Development Research Articles

Research on the Level of Synergistic Development of Supply and Demand in China’s Health Industry

This study combines the latest vague set similarity measurement method with the entropy weight TOPSIS method; furthermore, it applies the grey relational analysis method to establish a model for the synergistic development of supply and demand in the health industry, and it empirically analyzes the development status, synergy level, and synergistic development level of China’s health industry supply and demand from 2013 to 2021. The findings reveal that: (1) China’s health industry supply maintains steady growth, while demand grows rapidly. However, the overall level of supply and demand development is generally low, indicating significant potential for future development. Moreover, the development of the supply lags behind that of the demand, leading to an increasing gap year by year. (2) The level of synergy between supply and demand in China’s health industry is relatively high but is decreasing year by year. Although the degree of synergistic development between supply and demand continues to increase, it remains at a low level, indicating that high coordination between supply and demand comes at the cost of a low development level. (3) There exists a significant regional imbalance in the development of China’s health industry, with the overall difference showing a widening trend year by year. Regional disparities are the main source of the overall difference.

Measurement of agricultural productivity and levels of development in the Malaprabha river basin, Karnataka, India

The present paper attempts to analyze the spatial patterns of agricultural productivity and assess regional disparities in the levels of agricultural development in the Malaprabha river basin, Karnataka state. The Malaprabha river basin is one of the natural regions, with agriculture being the lifeline activity of the inhabitants of the basin. However, surprisingly, the region experiences greater regional disparities in overall development in general and agricultural development in particular. Regional disparities in the river basin may be natural due to unequal distribution of natural resources or man-made in the sense of neglect of some regions and preferences for others for investment and infrastructural facilities, and to some extent, the developmental policies of the region. The present study has utilized the published sources of data and reports collected from the Directorate of Economics and Statistics, Govt. of Karnataka, the Directorate of Census Operations in Karnataka, Govt. of India, Bangalore, and other related statistical records at taluka level at two points in time, i.e., 1993–94 and 2013–14. Though the study area is a natural region, the taluka has been taken as the smallest unit of study. The findings suggest that significant disparities have extensively affected the various aspects of agricultural development in the talukas of the river basin. The areas with a low level of development should be given top priority so that they may come up at par with the developed areas and the concept of planning with social justice may be fulfilled.

Изучение математических представлений у младших школьников с расстройствами аутистического спектра и интеллектуальными нарушениями

The aim of the study is to summarize the results of an experimental research aimed at exploring cognitive development and mathematical concepts among pupils in grades 1-4 with autism spectrum disorders (ASD) and intellectual impairments for further exploration of effective methods and approaches to forming mathematical concepts. The experiment was conducted at the State Public Educational Institution of Moscow “School No. 2124 'Center for Development and Correction'”. It involved 72 pupils in grades 1-4, ranging in age from 7 to 12 years old. Using the psychological and pedagogical diagnostics of cognitive development of children aged 3-4 and 4-5 (E. A. Strebeleva), the CARS scale for determining the degree of autism (E. Schopler, R. J. Reichler, R. F. DeVellis, K. Daly), testing and assessment materials developed and practically evaluated by the pedagogical team of School No. 2124, data were obtained on the low level of cognitive development among first-grade pupils starting school under the adapted basic education program of primary general education for students with ASD (variant 8.4), as well as the insufficient level of cognitive development among pupils in grades 2-4 relative to the mathematics program offered to them. Scientific novelty lies in the following: a correlation was identified between pronounced autism spectrum disorders and the low level of formation of mathematical concepts among younger school children with ASD and intellectual impairments. During the study, it was found that children with severe autism exhibit a low level of elementary mathematical concepts. As a result of the research, different levels of mastery of mathematical concepts among pupils in grades 1-4 with ASD and intellectual impairments were determined, their typical errors and the need for various types of assistance in task completion, as well as different dynamics in the assimilation of mathematical concepts among pupils in grades 1-2 and 3-4 were identified.

Cardiovascular admission risk attributable to hot apparent temperature: a study in a rural area of northwest China

ABSTRACT Cardiovascular disease (CVD) is the leading cause of mortality worldwide, posing a significant threat to public health. Research on the relationship between CVD and temperature has primarily focused on developed urban settings, with limited studies conducted in rural regions with lower levels of development. Additionally, compared to relative risks, attributable risks can provide more information when assessing the risk of CVD hospitalizations associated with exposure to apparent temperature (AT). Apparent temperature is a composite temperature index that takes into account both meteorological factors and temperature, providing an objective reflection of human thermal sensation. Therefore, this study investigates the impact of AT on CVD hospitalization and quantifies the burden of CVD admission in the rural areas of China. We employed the distributed lag non-linear model (DLNM) to estimate the relationship between AT and the relative risk (RR) of CVD hospitalization. Finally, we used attributable risk methods to quantify this relationship further.

Exploring non-linear causal nexus between economic growth and energy consumption across various R&D regimes: Cross-country evidence from a PSTR model

PurposeThis study endeavors to elucidate the divergent conclusions encountered in empirical research regarding the interplay of Economic Growth (EG) and Energy Consumption (EC). Design/methodology/approachFor this purpose, we employ the Panel Smooth Threshold Regression (PSTR) model to intricately examine the non-linear impacts of independent variables on EC and EG within a dataset encompassing 46 countries over the period from 1996 to 2021. FindingsThe outcomes of our investigation can be summarized as follows: First, the findings underscore the positive impact of the logarithm of net capital formation on EG. This impact is particularly pronounced at low levels of Research and Development (R&D), gradually waning beyond a certain threshold. Second, the ratio of capital to labor exhibits a negative influence on EC at lower R&D levels. Notably, these detrimental impacts become more pronounced as R&D levels increase. Third, trade openness contributes positively to EG, particularly evident at low R&D levels. However, with increasing R&D levels, the incremental benefits from trade diminish. Finally, our findings lend support to the feedback hypothesis. Nevertheless, the impact of R&D expenditures in countries moderates these positive effects. Practical implicationsPolicymakers should strategically balance resource allocation between capital formation and research endeavors, considering diminishing returns at elevated levels of R&D spending, to ensure sustained EG.

Predictors of Life Satisfaction: A Nationwide Investigation in Iran

Iran is a developing country with low levels of economic development and globalization and is ruled by a theocratic government. To address the lack of national research on well-being in Iran, this retrospective observational study aims to examine life satisfaction and its main determinants among Iranian adults. Using World Gallup Poll data collected between 2006 and 2017, we examined life satisfaction as a cognitive aspect of subjective well-being in relation to various factors. Our results show that income is the strongest predictor of life satisfaction, followed by standard of living, gender, social support, age, negative affect, and education. In developing countries such as Iran, which face significant economic, political, and social challenges, individuals prioritize the satisfaction of basic needs by emphasizing factors such as the socioeconomic status. In contrast, developed countries with established welfare systems may emphasize other values such as social connections and healthy lifestyle behaviors as key factors in life satisfaction. This study contributes to a deeper understanding of the determinants of life satisfaction in Iran and provides insights for future research and policy making.

Multivariate Analysis of Food Security and Its Driving Factors

The main objective of the presented paper was the analysis of the current state of food security in the world, segmentation of 100 selected countries and determination of its main driving factors. The analysis used 27 indicators covering 5 basic areas: agricultural production, poverty, demography, economic development, and environmental indicators. The analysis was based on data from the FAO and World Bank for the most recent available period, which was year 2020. The data dimension was reduced with the application of factor analysis, and the main driving factors of food sufficiency were determined. The result was 6 factors: technological development, economic development, agricultural production, environmental factor, and physical quality of life and environment. To group similar countries in terms of selected indicators, a cluster analysis was performed, whereby countries were grouped by similarity into three clusters. The 1st cluster consisted of the most economically developed countries, where only 2.54% of the population suffers from malnutrition. The countries in this cluster were characterized by high levels of economic development, high caloric intake of the population, and high, life expectancy. On the other hand, they recorded negative development in demographic indicators such as fertility and birth rates. The 2nd cluster included the poorest areas of the African continent, which were most endangered by direct food insufficiency (23.74% of the population). In contrast to the first cluster, these countries were characterized by low levels of economic development, high prices, and low-calorie intakes of the population, as well as low life expectancy, while on the other hand, these countries had high fertility and birth rates. The third largest cluster consisted of countries with a medium threat of food insufficiency, where 6.37% of the population suffers from malnutrition. The countries in the third cluster excelled in terms of crop and livestock production volumes, but in contrast to this, they achieved lower levels of fat, protein, and calorie intake of population.

The impact of digital economy on rural revitalization: Evidence from Guangdong, China

BackgroundDigital technology and economy have profound impact on rural revitalization and become important initiatives to promote rural development. This study analyzes the spatial effect of digital economy on rural revitalization in Guangdong, China. MethodThe entropy weight method is used to evaluate the level of rural revitalization and digital economy in 20 prefecture level cities of Guangdong province during 2011–2021. Spatial panel model is used to analyze the spatial spillover effect of digital economy on rural revitalization. Threshold model is employed to analyze the marginal effects of the digital economy on rural revitalization. Heterogeneous analysis is made by grouping the prefecture-level cities into four regions: the Pearl River Delta (PRD), the East Wing, the West Wing and the Mountainous region. ResultsBoth the level of rural revitalization and digital economy development in every prefecture-level city experienced an increase during 2011–2021 and the PRD region take the lead in both the rural revitalization and digital economy. There is significant spatial spillover effect of digital economy on the rural revitalization as a whole (the coefficient is about 0.3537). However, in the regions with a low level of digital economic development, there is a negative impact (−0.1847) of the digital economy on rural revitalization; while in regions with medium or high level of digital economy, it has a significant positive effect (0.3835) on rural revitalization. The impact of digital economy on rural revitalization development is significantly greater in the PRD (0.3141), the East Wing (0.7215), the West Wing (0.5467) than in the mountainous region (0.2238). ConclusionsThere is significant spatial differentiation in the digital economy and rural revitalization. The digital economy has significant spatial spillover effect on the rural revitalization. And this effect is found out to have heterogeneous and non-linear characteristics. In order to promote rural revitalization, it is necessary to make full use of the digital economy and technology in rural areas. Besides, it is important to improve the digital skills and literary of the rural population so that the digital economy could play a greater role in rural revitalization.

Theoretical Review and Analysis of Economic Growth and Residents􀆳 Health

Economic growth is an important foundation for the improvement of people's health, and the improvement of people's health is a prerequisite for social and economic growth, which are interconnected and influence each other. This paper analyzes the mechanism of mutual influence between economic growth and people's health on the basis of literature combing. The study shows that the relationship between residents’s health and economic growth presents different results depending on the selection of indicators, the study area and the characteristics of the study group. For regions or countries with a low level of economic development, economic growth has a positive effect on residents'health, but there is a marginal diminishing effect, while for regions or developing countries with a high level of economic development, economic growth has a negative effect on residents'health. There are multiple mechanisms of interaction between residents' health and economic growth. Health affects socio-economics through life expectancy, mortality rate and productivity; economic development also affects residents' health through unemployment rate, health inputs, environmental pollution and nutritional intake. A variety of economic and health-related issues are derived from the process of social development, including population aging, increasing pension burdens, industrial pollution and chronic diseases, which have an impact on the relationship between the economy and health.

Metal concentrations in fish tissues from Kara, Bolshoi Patok, and Maly Patok River basins, Northeastern European Russia

Fish and fish tissue are effective bioindicators due to their sensitivity to pollution and are frequently used for assessing aquatic ecosystem health. Establishing baseline metal concentrations in freshwater fish tissues within aquatic ecosystems is important prior to establishing industrial activities to help determine potential future industrial impacts. Historically, North-Eastern European Russia has been an area with relatively low levels of industrial development and is still in pristine condition. In this region, the noise-to-background ratio for industrial contaminants may be disproportionately high. This study measured baseline metal concentrations in freshwater fish tissues collected from three study sites (the Bolshoi Patok, Maly Patok and Kara Rivers) in northeastern European Russia as bioindicators of overall aquatic ecosystem health. Seven fish species, namely, European Grayling, Arctic Char, Whitefish, Perch, Pike, Roach, and Peled, were studied over a three-year period between 2000 and 2003. The copper (Cu), lead (Pb), cadmium (Cd), and zinc (Zn) concentrations were analysed in fish tissue samples. Metal concentrations measured in fish tissues in this study were comparable to those measured at remote sites in Alaska, the United States and Slovenia. Despite the small variation between the sampling sites, the metal concentrations were relatively low and considered to be in pristine condition. Metal concentrations measured in fish tissues in this study represent baseline conditions, which will be important for comparison against monitoring programmes should the region experience future industrial development.

Chronic hypoxia remodels the tumor microenvironment to support glioma stem cell growth

Cerebral organoids co-cultured with patient derived glioma stem cells (GLICOs) are an experimentally tractable research tool useful for investigating the role of the human brain tumor microenvironment in glioblastoma. Here we describe long-term GLICOs, a novel model in which COs are grown from embryonic stem cell cultures containing low levels of GSCs and tumor development is monitored over extended durations (ltGLICOs). Single-cell profiling of ltGLICOs revealed an unexpectedly long latency period prior to GSC expansion, and that normal organoid development was unimpaired by the presence of low numbers of GSCs. However, as organoids age they experience chronic hypoxia and oxidative stress which remodels the tumor microenvironment to promote GSC expansion. Receptor-ligand modelling identified astrocytes, which secreted various pro-tumorigenic ligands including FGF1, as the primary cell type for GSC crosstalk and single-cell multi-omic analysis revealed these astrocytes were under the control of ischemic regulatory networks. Functional validation confirmed hypoxia as a driver of pro-tumorigenic astrocytic ligand secretion and that GSC expansion was accelerated by pharmacological induction of oxidative stress. When controlled for genotype, the close association between glioma aggressiveness and patient age has very few proposed biological explanations. Our findings indicate that age-associated increases in cerebral vascular insufficiency and associated regional chronic cerebral hypoxia may contribute to this phenomenon.

How does digital transformation empower knowledge creation? Evidence from Chinese manufacturing enterprises

Knowledge creation is the foundation for indigenous innovation in manufacturing enterprises; however, the effects of digital transformation on knowledge creation are still not well understood. Nonaka put forward the model of knowledge creation, which includes four processes: socialization, externalization, combination, and internalization, known as the famous SECI model. Based on the SECI model, this study analyzes the effects of digital transformation on four knowledge creation processes, using panel data from Chinese listed manufacturing enterprises from 2007 to 2020. The study provides several novel findings. First, digital transformation positively affects all knowledge creation processes, with the effects on knowledge combination capability being particularly notable. Second, the effects of digitalization inputs on externalization and combination are insignificant but exert a negative impact on socialization and internalization. Third, a heterogeneity analysis reveals that the facilitating effect of digital transformation is more significant in state-owned and large enterprises. Moreover, it primarily acts as the "cherry on top," significantly benefiting enterprises that already have strong knowledge creation capabilities. A low level of digital technology development in the region where an enterprise is located will inhibit the role of digital transformation in promoting knowledge socialization. Furthermore, enterprise innovation culture and regional innovation environments play positive moderating roles. This study contributes to further understanding of how digital transformation affects enterprises’ knowledge creation activities.

The role of FDI augmented with governance and human capital on structural transformation: Experiences from SSA and EAP countries

In the last few decades, the majority of least-developed countries have failed to achieve the structural transformation theme. The concern of achieving structural transformation is further aggravated by the lack of technology, low level of literacy, poor institutional qualities, and low development level of the manufacturing sub-sector in these countries. To examine the role of FDI augmented with governance and human capital on structural transformation, the study used panel data for four Sub-Saharan African (SSA) and three East Asian and Pacific (EAP) countries across 31 years. The auto-regressive Distributed Lag with Pooled Mean Group technique was employed for analysis after checking the possible assumptions. The model for the full panels suggests that FDI inflows, especially when supplemented with good governance and better literacy, promote structural transformation. Moreover, across regions, in the short run, the interactive effect of FDI with governance and literacy had a positive effect for EAP and a negative effect for SSA countries. Finally, the government of the least developed countries that endeavors to achieve structural transformation should focus on improving the quality of governance and literacy rate and then engage in attracting massive inflows of FDI, among others.

Informal Institutions – Measurement and Comparison in European Countries

This paper addresses the topic of informal institutions that remain an unexplored part of the institutional system due to identification, operationalisation, and measurement problems. The author concludes that there is a dire need to develop an approach to analysing the rules that govern entities’ behaviour that are difficult to comprehend, deeply ingrained, and long-lasting. Therefore, based on data from social surveys, the author has constructed ten indices of informal institutions comprising trust, happiness, bonds with relatives, social capital, interest in politics, tolerance, resourcefulness, religiousness, attitudes to work, and attitudes to traditional values. They present a comprehensible picture of countries’ informal institutions and enable the making of comparisons. Later, the author uses the indices to investigate the links between formal and informal institutions in selected European countries and explore their role in providing a stable environment conducive to economic well-being. This is, however, only an example in which informal institutions are vital, and the research can support further studies in various fields. The findings indicate which investigated institutions seem central and worth supporting and which co-occur with lower levels of development.

Speed-power training of highly qualified hammer throwers

Long-term training of highly qualified track and field athletes is impossible without paying attention to one of its constituent parts - training and training methods. The level of training of throwers in track and field is becoming very high, it is becoming more and more difficult to achieve victory. This caused certain efforts of trainers, scientists, and methodologists in preparing the educational and training process of track and field athletes-throwers. The study of the robots of specialists, as well as the analysis of existing programs for improving the speed and strength training of throwers in track and field, indicates that the training method lags behind modern requirements. We consider the reason for this to be the low level of methodical development. Unfortunately, most track and field coaches are not interested in the new guidelines, and the result is the training of inferior reserves.
 The purpose of the work is the development of speed and strength training of highly qualified hammer throwers.
 Research results. We recommend hammer throwers to perform exercises with a barbell during training (jerking, taking the barbell to the chest, pull-ups). Exercises with a barbell (jerk, chest pull-ups, pull-ups and push-ups) are recommended to be performed from the position "from above". The position of the barbell "from above" means that the barbell is raised from the platform with straight lowered arms, the athlete's torso and legs are straightened, and then basic exercises are performed from this position. Moreover, the exercises should be performed in the overcoming and advancing mode, which corresponds to the main technical movement - hammer throwing.
 Conclusions. The results of our research and thirty years of practical experience working with athletes of the highest level of sportsmanship show that in speed-power sports, the connection between the external form and the content of movements is most clearly manifested when interacting with the support and the projectile. This is a causal relationship. Only that athlete who has a sufficient level of development of speed and strength qualities across the entire range of their manifestations, from the fastest and most coordinated rotational movements to the instant manifestation of maximum muscle tension in projectile throwing, can count on serious success in the main exercise.

Trzy sposoby na odczytanie teorii Dąbrowskiego. Nie wszystko jest tu jasne. Konstruowanie podejścia neo-Dąbrowskiego

This article analyzes Dąbrowski’s theory of positive disintegration referring to current debates in the USA which discussed certain parts of the theory (e.g. overexcitabilities) and neglected others (e.g. dynamisms). This approach caused simplification of the theoretical framework proposed by Dąbrowski and inscribed it into the narrow quantitative understanding of science. Lastly, Piechowski proposed to significantly modify Dąbrowski’s theory and to even discard the two lowest levels of development in theory. This caused a reaction by Tillier and Mendaglio who tried to defend the original concepts of the author of the theory. This article juxtaposed these two interpretations of the theory and shows a third possible interpretation based on English and Polish texts written by Dąbrowski. This interpretation solved problems present in the previously mentioned approaches to the theory and shows the way forward into more systematized theoretical research which is seriously needed if we want to further develop theory and its main notions.

VAT credit refunds and firm productivity: Evidence from China's VAT reform

This study exploits the implementation of the value-added tax (VAT) credit refund policy in China as an exogenous shock to examine the policy's impact on firm productivity. We find that pilot firms' total factor productivity increases significantly following the implementation of the tax reform due to higher operating cash flow, increased innovation incentives, and improved human capital investment in highly educated labor. Further tests show that the effect of the VAT credit refund policy is more pronounced among large firms, manufacturing firms, firms with strong financing constraints, and those located in regions with low levels of marketization and financial development. Our results provide novel evidence regarding the economic benefits of the VAT credit refund policy, and highlight its role in fostering firm productivity and economic growth.

Influencing Factors as well as Implementation Path of Synergistic Development of Digitalization and Greening in Manufacturing Industry: Analysis from a Configuration Perspective

<p class="MsoNormal" style="text-align: justify;"><span lang="EN-US" style="font-family: 'times new roman', times, serif; font-size: 14pt;">The manufacturing sector must incorporate digitalization and greening as crucial strategies to attain high level of development in the context of the digital economy, given its significant role in quality of environment. Most of existing studies explore net effect of a single or several factors on the digitalization or greening in the manufacturing industry. Limited investigation has been done to integrate various factors impacting the connection and synchronized advancement of digitalization and greening within the manufacturing. Factors affecting the synergy of digitalization and green change within manufacturing are recognized in this article, and a theoretical framework is established to analyze. FsQCA tool is also put into use to survey configurational cases, which contains synergy degree of green digitalization from 30 provinces’ manufacturing in China. Results show that: (1) Between 2007 and 2020, the development level of digital-green integration in the manufacturing industry shows an upward trend. There are three types of collaborative modes, namely, "industrial robot driven" "market development driven" and "market development driven - industrial robot driven", with each mode consisting of at least one to four equivalent pathways. (2) The marketization level and application of industrial robots are the important external and internal pulling forces that drive the synergy degree of digitalization and green change within manufacturing industry, respectively.(3) The influencing factors of the collaborative mode choice of digital-green development within manufacturing industry are complementary, among which, the degree of marketization is similar to the role of industrial robots in the configuration, which are capable to weaken the negative impact from insufficient government R&D investment support under specific conditions; (4) The non-high collaborative state of digital green in manufacturing industry is mainly due to the low level of marketization, openness, and economic development, as well as the low application rate of industrial robots and software products. This study enriches the theoretical understanding on digitalization and green change of manufacturing industry. Meanwhile, it also provides insights to advance the integrated and synergistic advancement of digital green transformation in manufacturing practice.</span></p>

Spatial differences, distribution dynamics and driving factors of the synergy between marine ecological security and high-quality development in three major marine economic circles of China

IntroductionIn China, the sustainable development of the marine is facing a prominent contradiction between ecological security and economic development, as well as unbalanced and non-coordinated regional development. Exploring the regional differences in the synergy between marine ecological security (MES) and high-quality development of the marine economy (MHQD) and its driving mechanism is the key to optimizing the spatial distribution of marine development, promoting the synergistic and balanced development of the regional marine composite system during the “14th Five-Year Plan” period.MethodsIn this article, we employed the Dagum Gini coefficient decomposition model and Kernel density estimation methods to reveal the evolution of regional differences, sources, and distributional dynamics of synergistic development of the composite system from 2009 to 2020. Meanwhile, spatial econometric analyses were applied to identify the influencing factors and spatial spillover effects.ResultsThe level of synergistic development of composite system has a fluctuating upward trend, with a significant positive spatial correlation and a significant “polarization effect”. Inter-regional differences in the synergistic development of the composite system are the main source of the overall differences. Factors such as innovation-driven, human capital, and opening up to the outside world are important driving factors for the synergistic development of the composite system.DiscussionThe MES-MHQD composite system exhibits a low level of synergistic development, with significant differences in the level of synergy both among the 3MMECs and within each circle. We infer that the expansion trend of overall difference will constrain the exploration of a sustainable development path for China’s coastal regions in the future. It is necessary to optimize the spatial layout of the composite system, establish robust mechanisms for regional cooperation and communication, accurately identify the development bottlenecks of the regional composite systems. This study provides a theoretical basis and decision-making reference for the promotion of the synergistic development of the composite system of the Three Major Marine Economic Circles (3MMECs) in China.

New Russian Economic History

This survey discusses recent developments in the growing literature on the economic history of Russia in the nineteenth and twentieth centuries. Using novel data and modern empirical methods, this research provides important lessons for development and political economy. We address four strands of this literature. First, we present long-term trends in economic development, illustrating that throughout history, Russia significantly underperformed advanced economies, and quantify the human cost of Joseph Stalin’s dictatorship. Second, we discuss studies of imperial Russia focusing on the causes of Russia’s relatively low level of economic development and the 1917 revolution. The third strand of the literature focuses on the Soviet period, explaining its slowdown over time and eventual collapse. The fourth strand documents the long-term economic, social, and political consequences of large-scale historical experiments that took place during both the imperial and Soviet periods. We conclude by discussing the lessons from this research and highlighting open questions. (JEL N10, N30, N40, N60, P20, P30, Z13)