Regional Growth Research Articles

Development of Gresik – Mojokerto Railway Infrastructure to Accelerate Economic Growth in Gerbangkertosusila

The most important economic area in East Java is the Gerbangkertosusila (GKS) area. The GKS area between Gresik – Mojokerto is not yet connected directly, almost all goods have to go through Surabaya and Sidoarjo first. This results in high logistics costs and long travel times. The research method used in this research is a qualitative research method on economic growth factors in the GKS area. The factors considered in economic growth are population, number of people of productive age, number of people who are not yet working, minimum income/month, number of poorer people, percentage of poorer people, length of roads, number of people accessing the internet, number of telecommunication towers, length of roads damaged, investment value, export value, import value, and gross regional domestic product (GRDP). The analytical tool used in the research is a descriptive method to measure and assess the quality of economic growth and changes in regional economic growth factors, assisting strategic planning for the construction of new railway lines as the right solution for developing regional economic growth. Therefore, to accelerate economic growth and reduce logistics costs in the GKS area, a new railway line between Gresik - Mojokerto should be built. If logistics costs are low, it will reduce the price of goods and increase the opportunity to order goods and open up new jobs. If new job opportunities are opened, it will be possible to reduce the number of unemployed people by 375,392 people and the poorer population by 719,944 people. So it is hoped that it will increase economic growth to reach 7%. Only the Gresik and Sidoarjo regions have met this economic growth. Mojokerto’s economic growth is still 5.56% and lags behind other regions. If the construction of the new Gresik – Mojokerto train line is realized, then economic growth in the GKS region of at least 7% will not be difficult to achieve.

The Impact of Infrastructure Development, Education, Tourism, and Agriculture on Regional Economic Growth in Indonesia

In order to better understand the complex links between infrastructure development, education, tourism, agriculture, and regional economic growth in Indonesia, this study uses structural equation modeling with partial least squares or SEM-PLS. The research makes uses of a 287-observation dataset and applies rigorous measurement model evaluation, bootstrapping analysis, structural model estimation, and model validation against multiple fit indices. The results show a strong positive correlation between each sector—agriculture, tourism, education, and infrastructure development—and regional economic expansion. The necessity for comprehensive, integrated development strategies is highlighted by the interconnectedness of these interactions. In order to promote balanced and resilient regional economic growth, the findings provide policymakers with useful insights and highlight the significance of ongoing investments in infrastructure, education, and sustainable tourism and agricultural practices.

Evaluating the reliability of bi-temporal canopy height model generated from airborne laser scanning for monitoring forest growth in boreal forest region

ABSTRACT The discrepancies in data across different phases and the unexplored optimal spatial resolution present challenges when using multi-temporal canopy height models to accurately discern actual forest growth. In this study, we evaluated the reliability of bi-temporal CHMs to characterize growth changes in a boreal natural forest over a four-year period. A maximum mosaic method was introduced to construct a CHM from various flight strips, aimed at minimizing data alignment errors. Subsequently, the canopy height and height changed derived from six different height percentile metrics and five spatial resolutions were evaluated. The results showed that higher resolution (e.g., < 2 m) and lower height metrics (e.g., 85th height percentile) consistently underestimated. Tree growth correlation with individual segmentation surpassed field-measurements at all resolutions and height metrics. for the optimal resolution and height metrics, the results suggest that using a 95th height percentile the 10 m scale effectively represents both canopy height ( R 2012 2 = 0.95, RMS E 2012 = 0.88 m, rRMS E 2012 = 5.83%; R 2016 2 = 0.96, RMS E 2016 = 1.11 m, rRMS E 2016 = 6.91%) and height changes ( R 2 = 0.59, RMSE = 0.86 m, rRMSE = 18.38%). This study demonstrates the necessity of carefully evaluating data characteristics and resolutions when employing multi-temporal CHM for forest dynamics monitoring.

Political Stability, Corruption, and Economic Development: Evidence from WAMZ Countries

This paper examines the political stability, corruption, and economic progress of the nations that make up the West African Monetary Zone (WAMZ) between 2000 and 2020. To prevent misspecification bias and therefore skewed statistical results, the common features of the panel data were examined first. First of all, the CD test did not find any evidence of cross-sectional dependency across the nations, validating the use of the conventional panel unit root, which does not account for cross-sectional dependence. According to Levin et al. (2002)'s panel unit root test, the variables are integrated of order zero, or I (0).Using the panel VAR framework as a basis, the paper investigates. Emotional intelligence data demonstrated that while corruption impedes regional economic growth, political stability and the rule of law foster it. According to the findings of variance decomposition, the factors under investigation either support or impede the WAMZ countries' economic development. Based on the results the paper recommends that, transparency and accountability at all level of government affairs as well as respecting the constitution in these nations should be preserved in order to overcome all social and political injustice among the countries under study.

Hubungan Antara Kemiskinan dan Pertumbuhan Ekonomi di Provinsi Sulawesi Barat: Pendekatan Vector Autoregresive (VAR)

This research aims to analyze the relationship between poverty and regional economic growth in West Sulawesi province. Using panel data from five city/districts during the 2011-2022 period, the analysis model applied is vector autoregressive which is then equipped with a Granger causality test. The study results reveal that economic growth significantly reduces poverty levels. On the other hand, the poverty rate does not affect economic growth. The results of the Granger causality test reveal the existence of one-way causality from economic growth to poverty. The poverty rate responds to changes in economic growth. On the other hand, economic growth does not respond to changes in poverty rate. This finding has the implication that increasing economic growth is very important when regional governments of west sulawesi province effort to reduce poverty rate.

충북 의료기기 클러스터의 ESG 경영전략

Purpose - The global trend of ESG has deepened. Accordingly, this study aims to explore several key elements of how Korea's Chungcheongbuk-do medical device industrial cluster can continue to strengthen its sustainable competitiveness by combining elements of ESG management in the mid- to long-term. Design/Methodology/Approach - This study uses the diamond model and existing literature to select important elements in a strategy for the sustainable growth of the medical device industry cluster. In addition, the AHP method was used to analyze the ranking and importance of important elements. Findings - Firstly, in the main items of the overall evaluation criteria, the ranking is as follows: Management environment-ESG, Factor conditions-ESG, Demand conditions-ESG, and Related and supporting fields-ESG. Secondly, in all the main individual detailed items, Importance was shown in the following order: Establishment of ESG governance, technology development supply, medical institution ESG demand, high-quality talent training, corporate ESG demand, and the construction of a convergence win-win platform. Therefore, a strategic focus should be placed on these sectors. Research Implications - This study integrated cluster, ecosystem innovation, medical device industry, ESG, and sustainable management with Porter’s diamond model. AHP analysis was also conducted for the mid- to long-term ESG strategy of the overall medical device cluster. Specifically, results showed that cooperation networks between industry, academia, research institutes, and hospitals were emphasized at the innovation ecosystem level. This will lead to the revitalization of related industries and contribute to sustainable regional innovation and economic growth.

Political Stability, Corruption, and Economic Development: Evidence from WAMZ Countries

This paper examines the political stability, corruption, and economic progress of the nations that make up the West African Monetary Zone (WAMZ) between 2000 and 2020. To prevent misspecification bias and therefore skewed statistical results, the common features of the panel data were examined first. First of all, the CD test did not find any evidence of cross-sectional dependency across the nations, validating the use of the conventional panel unit root, which does not account for cross-sectional dependence. According to Levin et al. (2002)'s panel unit root test, the variables are integrated of order zero, or I (0).Using the panel VAR framework as a basis, the paper investigates. Emotional intelligence data demonstrated that while corruption impedes regional economic growth, political stability and the rule of law foster it. According to the findings of variance decomposition, the factors under investigation either support or impede the WAMZ countries' economic development. Based on the results the paper recommends that, transparency and accountability at all level of government affairs as well as respecting the constitution in these nations should be preserved in order to overcome all social and political injustice among the countries under study

Inequality of Development between Regions: Analysis its Influence on Regional Economic Growth in South Sulawesi Province

This research aims to investigate uneven development between regions and its influence on regional economic growth in South Sulawesi Province. The main focus is on the comparison of regional development indices in various districts/cities in the province as well as the correlation between uneven development and regional economic growth. The data analyzed includes trends in the increase in HDI and GDP per capita ADHB from 2015 to 2019, with districts/cities such as Makassar, East Luwu and Enrekang showing the highest indices. Another important finding is that there is a significant correlation between uneven development (measured by the Williamson Index) and regional economic growth in the region. The implication is that more inclusive and equitable policies are needed to reduce development disparities between regions and encourage sustainable economic growth in South Sulawesi Province.

The Temporal and Spatial Evolution Characteristics of the Ecosystem Service Value and Conversion Rate in China’s Key State-Owned Forest Regions

To achieve a sustainable development path that harmonizes ecological and economic considerations, China has advocated the “two mountains” concept: “lucid waters and lush mountains are invaluable assets”. This idea posits that those who protect the environment can economically benefit by selling pristine landscapes and utilizing rich ecological resources. This paper use “the equivalence factor method” to calculate ecological benefits, introduces a technical measure—the conversion rate of ecosystem service value—and analyzes its temporal and spatial evolution from 2003 to 2020 in the operational areas of 87 state-owned forestry enterprises in Northeast China. The findings show: (1) a significant improvement in ecosystem-service quality, with its value increasing from 404.7 to 850.2 billion CNY between 2003 and 2020. The restoration of the ecological environment in China’s KSFR provides a foundation for economic and social development. (2) A decrease in the economic gains derived by operators from developing protected ecosystems, with the most significant decline observed in economic benefits generated from the supply product, including timber harvesting. However, the industrial structure in KSFR shifted from being dominated by timber production to diversified development, with non-timber forest resources becoming an important part of regional economic growth. (3) Significant potential for realizing the value of ecosystem services, evidenced by an increasing trend in the conversion rates of cultural, regulatory, and supporting services. These findings underscore the effectiveness of China’s natural forest protection and restoration policies in optimizing forest ecology and realizing the “two mountains” concept through appropriate market transactions and ecological compensation mechanisms.

Effect of urban street canyon aspect ratio on fire-induced air pollutants dispersion under cross wind

The incidence of vehicle fires in urban street canyons has continuously increased with the process of urban modernization. The dispersion and accumulation of fire-induced air pollutants seriously affect residents’ safety. The effects of the street canyon aspect ratio and fire source location on fire-induced air pollutants dispersion under cross wind were numerically investigated in the paper. The results show that the street canyon aspect ratio can affect flow patterns and vortex structure and then lead to different accumulation states of air pollutants. Smoke development can be divided into four different regimes according to cross wind velocity. The re-entrainment phenomenon occurs when the fire source is close to the windward building or in the center of the street, but it does not occur when the fire source is close to the leeward building. Smoke tends to accumulate in street canyons when the aspect ratio is smaller and the fire source is closer to the leeward building. The variation of critical velocity with the aspect ratio can be divided into three regions, i.e., initial linear growth region (0.5 ≤ W/H < 1), constant region (1 ≤ W/H ≤ 1.5), and second linear growth region (1.5 < W/H ≤ 2). The dimensionless critical velocity and critical Froude number are used to quantify the re-entrainment phenomenon in different fire scenarios, and prediction models are finally proposed. The main findings can provide a more detailed reference for urban layout and air pollution control to reduce fire-induced air pollutants.

The Role of Women in East Kalimantan's Economic Growth

Gender equality is essential because it indicates justice and equality for men and women with the same rights, obligations, and opportunities, resulting in economic growth in the region and country. This study aims to analyze the effects of women's roles: the gender development index (GDI), the gender empowerment index (GEI), the percentage of women as professionals (PWP), the mean years of schooling for women (MYSW), and the women's life expectancy (WLE), on economic growth in East Kalimantan. This study used secondary data from Statistics of East Kalimantan Province (BPS). This data was analyzed using panel data regression covering from 2017 to 2021 from 10 cities/regencies in East Kalimantan. The findings indicate that GEI significantly influences economic growth in East Kalimantan, whereas GDI, PWP, MYSW, and WLE do not significantly affect economic growth. This lack of impact can be attributed to women's limited involvement and participation in various sectors, including economics, education, and health. Consequently, programs aimed at enhancing GDI, PWP, MYSW, and WLE have not translated into tangible economic growth in East Kalimantan. To address this, local governments and stakeholders in East Kalimantan must increase women's participation in political spheres such as parliament and higher education, ensure access to healthcare, and fortify regulations and institutions promoting women's rights, fostering regional economic growth

Effects of Different N Fertilizer Doses on Phenology, Photosynthetic Fluorescence, and Yield of Quinoa

Quinoa (Chenopodium quinoa Willd.) is gaining recognition as a pseudocereal due to its nutritional attributes and adaptability to challenging conditions and marginal soils. However, understanding the optimal fertilization for quinoa growth remains a challenge. This study investigates the effects of nitrogen fertilization (0, 90, 120, and 150 kg using urea) on quinoa phenology, growth, and photosynthesis in the Loess Plateau region of China, a critical area facing soil erosion and ecological degradation. The results showed that nitrogen fertilization significantly influenced quinoa phenology, prompting early flowering and shorter growth at an optimum rate of 120 kg ha−1. Nitrogen application enhanced growth traits such as plant height, stem diameter, and chlorophyll content, particularly at the heading and flowering stages. Photosynthesis-related parameters, including net photosynthesis rate, transpiration rate, stomatal conductance, and intercellular CO2 concentration, were affected by nitrogen application, with higher values observed at 120 kg ha−1. Non-photochemical quenching was significantly increased by nitrogen application, indicating the efficient dissipation of excess energy. The study demonstrated a positive correlation between grain yield and growth traits, photosynthesis-related traits, and chlorophyll content. In conclusion, quinoa yield could be significantly improved at the Loess Plateau region under rainfed conditions by an optimal nitrogen fertilizer rate of 120 kg ha−1, which reduces the growth duration while increasing photosynthesis traits.

Dynamic Analysis of the Growth of Building Area and the Immigrant Population in Shanghai based on the PVAR Model

Since the reform and opening up more than 30 years ago, Shanghai has witnessed rapid development of economic and continuous acceleration of urbanization and continuous growth of building area. However, the number of migrants has decreased over the same period, which is inconsistent with previous studies that show that population affects land demand and floor space. In this paper, panel data of each district of Shanghai from 2014 to 2018 are selected and the panel vector autoregression model (PVAR model) is constructed to analyze the dynamic relationship between the building area growth of each district of Shanghai, the immigrant population and the economic growth. The results show that : (a)There is no long‐term equilibrium relationship between the growth of Shanghai's floor area and the migration of foreign population. (b) The construction area growth in Shanghai can affect the regional GDP growth to a certain extent. (c) The migration of migrants into Shanghai has a certain effect on the economic growth of Shanghai.

The Spillover effect of government relocations on economic growth in Chinese cities

This paper investigates the spillover effect of government locations on economic growth by exploring more than 180 relocation events of city governments in China. Empirical results demonstrate that government relocations improve regional economic growth measured by night lights. This positive effect decreases with the distance to city governments’ new locations. Government relocations are also found to accelerate urbanization. Potential mechanisms include the changes in land conversion and firm birth patterns in the move-in areas. These results indicate that the relocation of local governments can be an effective place-based policy to improve economic growth and urbanization.

Study of Urban Growth Center Development Factors and Simulation The Mamminasata Urban Area

Urban growth starts from a center and affects the surrounding areas, this is due to the emergence of additional centers that will each function as growth poles, to study the dynamics related to urban growth center information, several data and extraction and analysis methods are needed. This study examines several methods of extracting information on urban growth centers from Landsat 8 OLI/TIRS in 2013 and 2023 by utilizing the spectral resolution of Landsat imagery in the Mamminasata area, and integrating spatial modeling to simulate the growth centers of the Mamminasata area in the next 10 years (2043). The results of this research classification method show an accuracy rate of 71.48%. The results of the determinant factor test show that the most influential factors are the distance from the center of shops, slope, then the distance from the university, and the distance from the main road in 2013-2023 Mamminasata Urban Area. The results of this variable drive test are then used in spatial simulations using the markov chain simulation method in the LCM module and show an increase in the area of the growth center in the Mamminasata region, for the entire scope of the Mamminasata region, the Makassar City area shows the highest intensity of regional growth centers and becomes the center of growth in the Mamminasata urban area. The planning concept applied to the results of this study is based on resources, geographic location, and factors affecting the growth center.

LEVELS OF SOCIO- ECONOMIC DEVELOPMENT IN HINDOLI TEHSIL OF RAJASTHAN

Any state's social growth is characterized by the improvement of resource and human connections. The socioeconomic level of the state is determined by factors like regional development, education, health, access to clean water, transportation and communication, electricity, etc. As a result, social facilities serve as the benchmark for measuring and assessing regional growth. Studying the state of social infrastructure in a developing nation like India becomes vital to assess the rising prosperity and welfare work in that region or region. In terms of social work, Hindoli tehsil ranks behind other tehsils of Rajasthan. The extension of social services has been extremely slow in comparison to the rate of agricultural growth and employment opportunities in this area. Different areas of the tehsil have had varying rates of economic development in accordance with their geographical characteristics. The development of social infrastructures like educational institutions, health services, all weather roads, electrification, drinking water facilities, communication services, etc. is as a result conspicuously uneven. The research report under assessment makes recommendations for the correct, expansion of social facilities in the tehsil.

THE INFLUENCE OF INFORMATION SOURCES, AVAILABILITY OF FACILITIES, THE ROLE OF THE MIDWIFE AND THE ATTITUDE OF THE MOTHER ON MOTIVATION IN MONITORING THE GROWTH OF TODDLERS

Background: Nationally, the coverage of infant, toddler and preschool health services tends to decrease compared to 2021, this is due to the impact of the COVID-19 pandemic. Efforts to fulfill the main essential services for infants and toddlers are exclusive breastfeeding,Vitamin A and monitoring of growth and development. It can be seen that the percentage of toddlers monitored for growth and development in Indonesia in 2021 is 69.6%. Meanwhile, the 2021 Strategic Plan target is 70%. Failure to achieve the target of Visit Coverage Percentage of Toddlers whose growth and development are monitored as a result of theCOVID 19 pandemic. Purpose of writing: is to find out the influence of information sources, availability of facilities, the role of midwives and mothers; attitudes towards motivation in monitoring toddler growth and development in several regions in Indonesia. Research Methods: This study used a descriptive correlational method with a cross sectional design. The population in this study were all mothers who had toddlers. The dataanalysis used was univariate and bivariate analysis using the chi square test. Results: From the three regions, the results of the Chy Square test for the TPMB Gunung Sindur Kab. Bogor Value of Midwives Role Obtained p value 0.043 &amp; 0.005 and Kalanganyer Public Health Center District. Lebak p value 0.034;0.005 Meanwhile, in the Mandala Health Center area, the results of the Pearson Chi-Square test for Information Sources obtained p = 0.032 and the Mother Attitude value obtained p = 0.001 , so that Ho was rejected and Ha was accepted, meaning that there is a significant influence between the roles of midwives, sources of information andMother Attitude in Monitoring the Growth and Development of Toddlers. Conclusions: By conducting this research, it is hoped that all mothers who have toddlers can be motivated to monitor the growth and development of their children, given the importance of monitoring children health in order to prevent stunting rates in toddlers.

Spatial and temporal evolution analysis of ecological security pattern in Hubei Province based on ecosystem service supply and demand analysis

Realizing the superior stability of natural resources for regional economic growth depends on the construction of the Ecological Security Pattern (ESP)11the Ecological Security Pattern (ESP).. The ESP of Hubei Province was determined based on the supply and demand of ecosystem services (ESSD)22the supply and demand of ecosystem services (ESSD).. The main conclusions are as follows: (1) The overall supply of ecosystem services in Hubei Province exceeds the demand, and the imbalance between supply and demand in Wuhan, Xiangyang and Jingzhou is the most serious. (2) The largest ecological source area in 2000 was 90,506 km2, followed by 86,946 km2 in 2020. (3) 11 long-term ecological obstacles with a total area of 312.96 km2 were identified, which were mainly composed of large areas of cultivated land and water. (5) The ecological protection and restoration pattern of “two axes, three belts, four districts and five cores (two main and three secondary)” has been constructed in Hubei Province. The results of this study provide reference for the management and protection of regional ecosystem and the overall response to ecological problems in Hubei Province.

Bureaucratic transfers and industrial structure changes in China: The role of superstar firms

This paper examines how local industrial structure changes after bureaucratic transfers across Chinese cities. Utilizing firm-level data within the manufacturing sector, we show a positive and significant effect of transferred local leaders on the industrial similarity between cities connected by them, and this response arises 3 years after the transfers. However, when transferring between cities with notable disparities in resource endowments, local leaders induce diminished industrial similarity among connected cities. Our mechanism analyses then find that, after transferred leaders arrive, new superstar firms are more likely to be attracted to their current jurisdictions and new industries in which their previous jurisdictions have already superstar firms tend to be developed in the current jurisdictions, thus making the industrial structure between the connected cities more similar. Furthermore, we find that transferred local leaders contribute to the synchronization of regional economic growth through facilitating the diffusion of productive capabilities across cities.

The influence of AI on the economic growth of different regions in China

High-quality development plays a crucial role in China’s economic progress in the new era. It represents a new concept of advancement and mirrors the increasing aspirations of the populace for an improved standard of living. In this context, the role of artificial intelligence (AI) in promoting sustainable development cannot be overemphasized. This paper explores how AI technologies can drive the transition to a green, low-carbon and circular economy. We have established an index system to measure the development level of the artificial intelligence industry and the high-quality development of the economy, which is relevant to the current state of the artificial intelligence industry and the advancement of the economy. Panel data from 2008 to 2017 has been utilized for this purpose. Global principal component analysis method and entropy value method are employed in the evaluation. Through in-depth analysis of the application of artificial intelligence and environmental protection in various provinces and cities, we clarify that artificial intelligence promotes innovation, saves resources, and is conducive to the development of green economy in the new era.