Regional Economic Conditions Research Articles

The Effect of Strengthening Regional Economic Conditions on Job Opportunities, Income and Price Stability in Padang City

The Effect of Strengthening Regional Economic Conditions on Job Opportunities, Income and Price Stability in Padang City

What are the key and catalytic external factors affecting the vitality of urban blue-green space? a case study of Nanjing Main Districts, China

In recent years, urban blue-green space has received increasing attention as an important carrier of urban spatial vitality. It has become increasingly clear that urban blue-green spaces both cities and citizens, though these concepts of spatial vitality and the underlying mechanisms influencing spatial vitality have yet to be explored in depth. Using blue-green spaces in the Nanjing Main Districts as an example, this study employs precise Location Based Services (LBS) data as a proxy for spatial vitality to explore the influence of external factors and their interaction(s) on spatial vitality. The results demonstrate that (1) functional mixing and walking accessibility are the dominant external factors affecting blue-green spatial vitality; (2) the interaction of external factors has a significant impact on spatial vitality, and finally (3), that public transportation accessibility and regional economic conditions are the catalytic factors affecting spatial vitality, explaining the contradictory research results discovered by other scholars. This study provides a foundation for the planning and construction of urban blue-green spaces.

Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis

BackgroundBoth incidence and mortality of gastric cancer in Gansu rank first in china, this study aimed to describe the recent prevalence of gastric cancer and explore the social and environmental determinants of gastric cancer in Gansu Province.MethodsThe incidence of gastric cancer in each city of Gansu Province was calculated by utilizing clinical data from patients with gastric cancer (2013–2021) sourced from the medical big data platform of the Gansu Province Health Commission, and demographic data provided by the Gansu Province Bureau of Statistics. Subsequently, we conducted joinpoint regression analysis, spatial auto-correlation analysis, space–time scanning analysis, as well as an exploration into the correlation between social and environmental factors and GC incidence in Gansu Province with Joinpoint_5.0, ArcGIS_10.8, GeoDa, SaTScanTM_10.1.1 and GeoDetector_2018.ResultsA total of 75,522 cases of gastric cancer were included in this study. Our findings suggested a significant upward trend in the incidence of gastric cancer over the past nine years. Notably, Wuwei, Zhangye and Jinchang had the highest incidence rates while Longnan, Qingyang and Jiayuguan had the lowest. In spatial analysis, we have identified significant high-high cluster areas and delineated two high-risk regions as well as one low-risk region for gastric cancer in Gansu. Furthermore, our findings suggested that several social and environmental determinants such as medical resource allocation, regional economic development and climate conditions exerted significant influence on the incidence of gastric cancer.ConclusionsGastric cancer remains an enormous threat to people in Gansu Province, the significant risk areas, social and environmental determinants were observed in this study, which may improve our understanding of gastric cancer epidemiology and help guide public health interventions in Gansu Province.

Epidemiology of Nontuberculous Mycobacteria in Tuberculosis suspects, Southwest of China, 2017-2022.

This study summarizes the epidemiological characteristics, species distribution, and drug sensitivity of clinical nontuberculous mycobacteria (NTM) isolates at the Public Health Clinical Center of Chengdu, China, from January 2017 to December 2022. We retrospectively analyzed data from patients with clinically isolated NTM strains. Chi-square analysis assessed the rate of Mycobacterium strain isolation over 6 years. The number of samples tested for Mycobacterium tuberculosis (MTB) and/or NTM increased each year, while MTB detection decreased and NTM detection rose significantly each year (P=0.03). The average age of NTM patients was 51 ± 17.53 years, with a 14.1% HIV infection rate. The predominant isolates were Mycobacterium avium-intracellulare (MAC) and M. chelonae/M. abscessus, with 96.4% of cases being of Han ethnicity. Amikacin, moxifloxacin, and clarithromycin were effective against M. avium and M. intracellulare; linezolid, amikacin, and cefoxitin were effective against M. chelonae/M. abscessus. Over 90% of NTM cases originated from the respiratory tract. The NTM isolation rate in Southwest China has risen in recent years, primarily among elderly patients with a high HIV co-infection rate. The main NTM isolates were MAC and M. chelonae/M. abscessus. Amikacin, moxifloxacin, clarithromycin, and linezolid exhibited strong antibacterial activity against SGM, while amikacin and linezolid displayed relatively better antibacterial activity against RGM. The prevalence of NTM infection may be positively associated with regional economic development and health conditions.

Extracting the pickpocketing information implied in the built environment by treating it as the anomalies

The practice of crime risk mapping, enabled by the utilization of geospatial big data such as street view images, has received significant research attention. However, in situations where available data is scarce, mapping models may suffer from underfitting and generate inaccurate spatial pattern estimations of crime risk. The covert nature of pickpocketing crimes results in limited observed areas relevant to such criminal events, leading to insufficient coverage of geospatial data. Moreover, the location of crime is also influenced by socio-economic characteristics that may introduce biases into crime risk estimates. These factors render it challenging for the model to capture a valid crime risk pattern, potentially yielding misleading conclusions. Therefore, effectively extracting crime risk with limited data remains a challenge, especially when relying on easily accessible, widespread, and unbiased geospatial data. To address this challenge, we propose a novel crime risk assessment framework based on deep anomaly detection techniques, assuming that urban landscape anomalies carry deep crime risk information. We take Shenzhen as the study area and map the distribution of pickpocketing risk using street view images, accurately revealing the spatial aggregation of pickpocketing crime risk. Our findings indicate that pickpocketing crime in China is caused by regional economic conditions, built environment factors, and human routine activities. This study provides valuable insights for policing and prevention strategies aimed at addressing pickpocketing crimes in large Chinese cities. By leveraging our proposed crime risk assessment framework, decision-makers can allocate resources more efficiently and develop targeted interventions to mitigate crime risks.

Insider Trading in News Deserts

ABSTRACTThis study examines the informational value of local news outlets and how they affect insider trading. We hypothesize that local news coverage is a critical channel through which outsiders acquire local information, which restricts insiders’ ability to profit from their information advantage. We argue that a loss of local news coverage increases information opacity faced by outsiders, while making it easier for insiders to seize profitable trading opportunities. Exploring the staggered shutdown of local newspapers, our difference-in-differences estimation presents novel evidence that insiders from closure counties trade more profitably after local newspaper closures, particularly in small firms that lack alternative news sources. Further analyses reaffirm that the post-closure increase in trading profits is unlikely to be wholly driven by regional economic conditions and is likely driven by increased information costs. Our results highlight that local newspapers play a meaningful role in mitigating information asymmetry between insiders and outsiders.Data Availability: Data used in this study are available from the sources identified in the paper.JEL Classifications: G14; G30; L82.

Pushed online: What characteristics of regional offline labour markets influence the expansion of Internet and platform work?

AbstractDespite disruptive impact of internet work on labour markets little is known about what, beyond individual pull factors, drives its expansion. This article extends current frameworks by investigating the role of regional economic and employment conditions. The analysis covers 165 regions in 14 European countries using a representative cross‐national data set on individual engagement in internet and offline work, augmented with aggregate data on the regional context. Our findings suggest that otherwise similar workers engage more in internet work where offline opportunities are worse—fewer jobs and of lower quality—with effects up to 10% for large regional differences. The increase mainly represents workers juggling offline and internet jobs under conditions of economic and job insecurity. These results imply that internet work is not exceptional or separate from the traditional labour market, challenging the narrative of platforms as outsiders to labour market regulation and justifying the expansion of regulatory efforts.

Regional Autonomy and Economic Conditions in Indonesia

This study aims to see the impact of regional autonomy on the economy in Indonesia. There are two variables used to represent the economy, namely economic growth and the unemployment rate. This study uses the literature review method, this is because this method can assist in obtaining a more comprehensive understanding of the concept of regional autonomy and the economy, including theories and concepts. The results of the study show that regional autonomy has a positive impact on the economy in Indonesia, especially being able to increase economic growth and reduce unemployment rates.

The impacts on informal financing strategy of small and micro enterprises by interest rate risks and public health emergencies

Informal finance is a crucial financing method for small and micro enterprises (SMEs) in most developing countries. Interest rate risks (IRS) should be a vital component of SMEs' informal finance strategies (IFS), and public health emergencies (as COVID-19) is likely to modify IFS due to increased liquidity risks for SMEs. This article examines the relationship between IRS and IFS and its moderated effects by COVID-19. The study develops a structural equation model of SMEs' IFS to investigate SMEs' IFS, the causal relationship between IRS and SMEs' IFS, mediator effects of SMEs' corporate financial status and regional financial and economic conditions, and moderating effects of SMEs' variables. The empirical data is from Wenzhou, China, distributed between 2016 and 2021. The study concludes that IFS will continue to be a financing technique for Chinese SMEs, even if it may have a deterrent effect due to COVID-19. Additionally, there is a strong positive causal association between IFS and SMEs' IRS, as well as moderator and mediator effects. Recommendations for government policy include clarifying the connection between SMEs' IFS and influencing variables, providing scientific and methodical analysis tools for evaluating factors impacting SMEs' IFS, and encouraging the optimization and upgrading of SMEs' IFS.

Comparison and Analysis of Incidence Rate of Bacillary Dysentery in Selected Countries

Bacillary dysentery is a waterborne and foodborne disease, which results in substantial morbidity all over the world. However, the changes in morbidity over time and the cause of bacillary dysentery varies in countries with different level of development. The study aims to compare the characteristics and changes of bacillary dysentery incidence and proper interventions in selected countries. From 2010 to 2019, the morbidity and mortality of it in underdeveloped countries are higher, indicating that the disease burden of bacillary dysentery in a specific country is associated with the level of development. The species of Shigella also show a difference. The outbreaks of bacillary dysentery in under-developed and developing countries are mainly caused by S.flexneri, while S.sonnei account for most infections in developed countries. The risk factors in underdeveloped countries are uneven health conditions and funding, inadequate health education, and poor hygiene and sanitation. As for developing countries, the risk factors are related to regional economic conditions, meteorological conditions, health conditions, and living habits. However, for developed countries, the emerging drug resistance of the pathogenic Shigella and the transmission between the men sex with men (MSM). Individual, household and government should be carried out with cooperation in countries with varying levels of development to reduce the burden of bacillary dysentery. The pathogen of bacillary dysentery has advanced quickly in recent years, bringing much disease burden globally. All nations must address the socioeconomic causes of bacillary dysentery. Scientific interventions need to be carried out according to the actual situations and specific risk factors to meet the demand of reducing Shigella morbidity and mortality.

Distribution and Ecological Network Construction of National Natural Protected Areas in the Upper Reaches of Yangtze River

The upper reaches are an important part of the Yangtze River Basin. The basin area is large and the terrain is complex, covering nearly all types of terrestrial ecosystems. This study sorts out the information of 313 protected areas in the upper reaches of the Yangtze River and uses morphological spatial pattern analysis, a minimum cumulative resistance model, and geospatial indicators to quantitatively analyze the relationship between population density, per capita gross domestic product, and the pattern of protected areas in combination with regional economic and social conditions. Results show that the number of national forest parks is the largest, accounting for 31.31% of the study area. In the study area, all types of protected areas are concentrated distribution, protected areas in sparsely populated areas that are larger, more densely populated, and more economically developed, and the corresponding number of protected areas is greater. The study area is divided into five regions through the analysis of the corridors of the protected areas: the source area of the Yangtze River National Park, the Hengduan Mountain Ecological Strict Protection Area, the Qinling-Daba Mountain Ecological Protection Area, the Northern Yunnan-Guizhou Plateau Ecological Protection Area, and the Three Gorges Ecological Control Area, forming an ecological network pattern of “one park, four districts, and three rings” in the upper reaches of the Yangtze River.

The Impact of Regional Economic Conditions on Place Branding Results: The Survival Analysis Approach

Place branding became a part of regional development processes; therefore, regional conditions could affect the place branding success. Nevertheless, studies on place branding success are mostly focused on management issues, and the role of regional conditions is yet to be revealed. In this regard, the paper aims to explore how regional economic (including social and spatial) conditions affect the results of place branding activity. We assumed that regional conditions have a certain impact on place branding activities, yielding better or worse place brands survival, which we treated as the fact of observable place brand attributes continuing to exist. To test this hypothesis, a survival analysis on brands of 15 Russian regions was performed for the period from 2010 to 2021. Using the Kaplan-Meier method, we examined the impact of seven variables on place brands survival. The obtained findings confirm the positive impact on brands survival of such variables as gross regional product (GRP) per capita, regional investment, and migration attractiveness. The following variables have a negative impact: unemployment rate, the adjacency to regions already having place brands. Additionally, place brands of regions with administrative centres in smaller cities have a better survival rate than the ones with bigger cities. Finally, the impact of change of the federal subject’s head on survival was not confirmed. Thus, the present article contributes to place branding studies by unveiling the influence of regional conditions on place branding outputs and extends the methods of place branding research by using the survival analysis.

Analisis Karakteristik Keberadaan Perbankan di Nusa Tenggara Barat Terhadap Kondisi Perekonomian Daerah Menggunakan K-Means Clustering

In certain areas, there are still many people who have to travel long distances to access some banks. Difficult mobility is considered to hinder business activities. The West Nusa Tenggara (NTB) Province is one of the favorite travel destinations for some foreigner tourists as well as domestic tourists because of its natural beauty and cultural diversity. the existence of some banks in the NTB Province , is important to facilitate the circulation of money. For this reason, this study aims to analyze the existence of some banks in the NTB Province and the condition of mobility in accessing themto regional economic conditions by applying K-Means clustering. Our results show that there are two clusters, , where the cluster 2 is an urban area and a tourist area. It has charactersitic has a GDP greater than cluster 1.

A study on the level of digital economy development and influencing factors in Chinese coastal provinces - based on EWM and ANN algorithm

Focusing on the high-quality regional economic development of 11 coastal provinces in China in the new era, this article constructs a multi-level evaluation system of digital economy development level composed of 12 indicators and uses the EWM analysis method to measure the development level of the digital economy in the region. At the same time, 13 indicators are selected as regional economic endowment conditions, and the ANN algorithm is used to study the impact of regional economic endowment conditions on the development of the digital economy. The evaluation system of this study is relatively comprehensive, and the machine learning method is used to make the results more accurate. Taking coastal provinces as the specific research object, more concrete and targeted conclusions will be produced, providing cutting-edge theoretical support for the economically developed regions such as the Yangtze River Delta and the Pearl River.

ANALISIS MANFAAT JALAN LINGKAR UTARA KOTA SENTANI TERHADAP PERKEMBANGAN DI WILAYAH SEKITARNYA

The North Ring Road section of Sentani City is also expected to require several important things related to the principles contained in regional development. The existing synergy will improve regional economic conditions as well as several social aspects and other conveniences. With the northern ring road, it is intended to reduce the traffic load in the center of Sentani City. However, it is also hoped that the Sentani North Ring Road will have a follow-up impact on economic development and increase productivity in the surrounding area. With the existence of the North Sentani Ring Road, the development of activities, especially economic activities in the vicinity, is not yet visible, whether this economic activity is related to the social characteristics of the surrounding community that do not support regional development, so it is necessary to analyze the extent of the benefits of the road to the development of the surrounding area. The objectives to be achieved in this study are to analyze the impact of the construction of the northern ring road on infrastructure development in the surrounding area, analyze the extent to which the northern ring road affects changes in socio-economic and socio-cultural characteristics of the surrounding population, analyze the extent to which the northern ring road affects regional development surrounding. From the results of this study it can be concluded that the northern ring road has an impact on infrastructure development in the surrounding area, the socioeconomic characteristics of the population around the northern ring road have increased and socio-cultural characteristics have changed with the existence of the northern ring road of the city of Sentani and the northern ring road affect the development the surrounding area

Explaining Variations in Long-term Care Use and Expenditures Under the Public Long-term Care Insurance Systems: A Case Study Comparison of Korea and Japan.

Establishing universal coverage of formal long-term care (LTC) services is an urgent policy need for aging populations that requires efficient management of quality and financing. Although current variation in LTC service use between and within countries suggests the potential for improvement by efficient management, this topic remains underexamined. We aimed to identify the sources of variance in LTC use and expenditures through a unique cross-country comparison of Japan and South Korea, which have formal public LTC insurance (LTCI) schemes that are analogous but have unique operational and demographic structures. Taking administrative regions as the unit of analysis, we assembled data on the LTC utilization rate of people aged ≥65 years, and expenditures per recipient from 2013 to 2015 as the outcome variables. Explanatory variables included demand-related factors, such as regional demographic and economic conditions, and supply characteristics derived from existing public databases. We conducted weighted least squares regression with fixed effects for the pooled data and used Blinder-Oaxaca decomposition to identify sources of outcome variance between the two countries. The average LTC utilization rate was 6.8% in Korea and 18.2% in Japan. Expenditures per recipient were approximately 1.4 times higher in Japan than in Korea. The difference in the utilization rate was mostly explained by between-country differences in supply- and demand-related factors, whereas the difference in expenditures per recipient was largely attributed to unobserved country-specific factors. The current findings suggest that LTC utilization is determined largely by the demographic and functional characteristics of older people, whereas expenditures are more likely affected by institutional factors such as the insurance governance scheme and the policy choice of the target population segment and coverage. The results suggest that strategic choice of LTC institutional schemes is required to ensure financial sustainability to meet changing demands caused by population aging.

Penentuan Sektor Ekonomi Unggulan dengan Analisis Overlay di Kota Surabaya

People's well-being can be improved through the use of regional leading sectors. The amount of regional output based on the performance of individual or overall economic sectors to determine the size of regional economic growth is known as Gross Regional Domestic Product (GRDP). Based on GRDP data from 2015 to 2020, a study was conducted in Surabaya with the goal of identifying the leading sectors, understanding the performance of economic sectors, understanding the grouping of sectors, and understand the role of leading sectors for the return of regional economic conditions. The research method is based on a quantitative approach using the LQ analysis method, shift share, and Klassen typology, followed by overlay analysis to reach conclusions. According to the calculations, 11 economic sectors were identified as superior in the LQ analysis, 1 economic sector received positive results in both components in the shift share analysis, and 4 economic sectors were classified as Quadrant 1 in the Klassen typological classification. Referring to these results, the financial services and insurance sectors are the only sectors that meet positive results in all three analysis tools. So, according to overlay analysis, the financial services and insurance sector in Surabaya is a leading economic sector that can be used to improve the economy due to the covid-19 pandemic

Development of Land Used Intensity-Traffic Interaction Model for Bandar Lampung City, Indonesia

Abstract Social history has shown that a city plays an important role in meeting human needs such as housing, service facilities, entertainment areas, and transportation networks. Therefore, the interaction between demand and infrastructure creates a traffic flow. Previous studies show that traffic flow is strongly correlated with land use types’ scale and operational characteristics. In addition, traffic volume can represent logistics distribution, which is one of the parameters to assess regional economic conditions. This condition prompted researchers to research to develop an interaction model between land-use intensity and traffic. The study was conducted in Bandar Lampung City, Indonesia, the economic center of Lampung Province, Indonesia. The methodology used in this study is the multiple linear regression analysis for origin-destination matrix. This analysis was performed using 23 parameters that could influence the model, but we try to find the most significant influence variables in this study. The process of evaluating some statistical parameters is considered as decision parameters. Finally, the analysis results show a strong correlation between land use and traffic volume in the city of Bandar Lampung, Indonesia the best model y = 62,3 + 2,275 x16 + 1,348 x20 with x16 is store building area, and x20 is the number of schools.

Do political connections affect corporate poverty alleviation decisions? Evidence from China

Programs to alleviate poverty by corporations are increasingly popular as a new form of corporate social responsibility. This study examines how the political connections of a firm's chairperson are associated with decisions to alleviate poverty based on a sample of listed Chinese firms from 2016 to 2018. We find that the chairperson's political connections increase the probability of participation and the amount of investment in programs to alleviate poverty. This positive relationship is mainly manifested in firms with high agency costs and low regional economic conditions. In addition, the chairperson's political connections are not related to the efficiency of the poverty alleviation program. Politically connected firms receive less government recognition with an increase in investment in poverty alleviation. Our findings are consistent with the notion that firms participate in poverty alleviation programs for reciprocal favor exchanges, but they fail to manage these programs efficiently.

The Cost-Effectiveness of the Supporting Policies for Food Waste-Reducing Equipment: Purchase Subsidy vs. Rental Subsidy

However the food waste problem has been well characterized by the local government, finding the best solution is a difficult and daunting task. Although much attentionhasbeenpaid to analyze the effect of food waste treatment facilities, there have been few sophisticated comparisons of the costs and potential effects of food waste reduction equipment subsidized. In this study, an attempt was made to analyze lump-sum purchase and rental subsidies by comparing the costeffectiveness of food waste reduction equipment distribution by the local government, Jeju Special District. A set of scenarios for two kinds of subsidies were constructed and the data on the cost of financing methods was assembled after upscaling the costs over a 10-year period. The estimated costs are 6,091 million KRW for the purchase subsidies and 6,463 million KRW for the rental subsidies, which indicates that the former is more cost-effectivet hanthelatter. However, cost-effectiveness can vary with assumptions, such as technological progress, interest rate, risk premium, etc. The present approach can be adapted to establish proper food waste policy interventions or a mixture of policies by considering the regional economic conditions and environment.