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With the development of the economy, many regions have experienced a slowdown in economic growth. In order to promote the development of the electric vehicle (EV) industry, the country has also begun to introduce various policies to encourage the development of the EV industry. In this context, many local governments have begun to introduce policies and measures related to the development of the EV industry, such as increasing land use for the development of the EV industry and increasing support for the new energy automobile industry. These policy measures have played a positive role in promoting the development of the EV industry, but there are also some problems. For example, when many local governments introduce policies to support the development of the new energy automobile industry, their support for the EV industry is not significant. This article studied the collaborative optimization of the EV industry chain in response to issues such as insufficient technical strength, imbalanced supply-demand relationship, and insufficient downstream service chain capabilities in the EV industry chain. This article analyzed the composition of the EV industry chain and established an EV industry chain model to address these issues. This article used collaborative optimization algorithms to analyze the production volume of EVs in the EV industry chain, as well as the comprehensive efficiency, pure technical efficiency, and scale efficiency values of upstream, midstream, and downstream. Through experimental analysis, it was found that the comprehensive efficiency value of the upstream of the EV industry chain after using the collaborative optimization algorithm was 0.0792 higher than before. The research results of this article have provided reference significance for the analysis of collaborative optimization algorithms in other fields. [ABSTRACT FROM AUTHOR]

This study revisits income convergence among Turkish provinces for 1992-2019 and differs from most empirical literature due to its unique structural and methodological framework. Stochastic convergence is tested by employing a battery of panel stationarity tests that allow cross-sectional dependence and structural breaks. Breaks are further analyzed with respect to the nature of breaks as sharp and smooth. Sharp breaks are identified endogenously, while smooth breaks are accounted for using the Fournier approximation. Although due to its unique structural convergence is tested by employing a sectional dependence and respect to the nature of breaks endogenously, while smooth approximation. Although s-of stochastic convergence that at the provincial level, additional dimensions of procedure, outcomes about However, findings at the panel stochastic convergence. At the convergence is detected, there are no shreds of evidence of stochastic convergence at the panel level. Univariate test statistics demonstrate that at the provincial level, there is no single case that applies to all provinces. As additional dimensions of the data-generating process are evaluated in the testing procedure, outcomes about stochastic convergence slightly shift for provinces. However, findings at the panel level remain consistent and do not produce stochastic convergence. At the provincial level, mixed results are obtained. [ABSTRACT FROM AUTHOR]

We study the regional economics of mineral resource activity in Africa. Using geocoded data on mine openings and closures in Africa, we document that mining regions experience local economic booms while a mine is in operation. We then explore how mineral resources affect non‐mining regions. Non‐mining regions might be affected by mining activity due to deliberate government policies (e.g. regional redistribution) or due to various inadvertent country‐level macroeconomic adjustments (e.g. Dutch‐Disease‐type effects or declining institutional quality). Our results suggest that mineral resources have heterogeneous effects on non‐mining regions. Politically important regions benefit economically, while generic non‐mining regions are, in general, worse off. Exploring mechanisms, we find that these spatial patterns arguably emerge due to both deliberate government policies as well as Dutch‐Disease‐style macroeconomic adjustments that harm regions specializing in sectors other than mining. [ABSTRACT FROM AUTHOR]

In celebration of the centennial of the birth of Charles M. Tiebout, the current essay establishes the Tiebout hypothesis regarding jurisdictional composition as an origin of club theory and the study of local public goods. The Tiebout hypothesis and club theory constitute two of many foundational contributions to public choice. Tiebout's voting-with-the-feet analysis exerts a lasting influence on empirical investigations in urban and regional economics regarding city size, regional composition, housing price capitalization, and migration patterns. The current paper displays three fundamental club models to establish an unmistakable linkage between the Tiebout hypothesis and club theory. Given that linkage, the paper also identifies essential differences between the two analyses. Myriad applications of club theory to virtually all fields of economics highlight Tiebout's far-reaching legacy. [ABSTRACT FROM AUTHOR]

Copyright of Retos, Revista de Ciencias Administrativas y Económicas is the property of Universidad Politecnica Salesiana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Urban agglomerations, such as the Yangtze River Delta, Yangtze River Middle Reaches, and Chengdu-Chongqing regions, play a crucial role in driving China's regional economic development. While previous studies have focused on economic and social aspects, the fiscal dimension of urban agglomerations remains underexplored. This study addresses this gap by investigating the relationship between population size and fiscal efficiency in these three major urban agglomerations along the Yangtze River Economic Belt (YREB).We introduce the concept of fiscal efficiency based on revenue and expenditure and select relevant indices, such as efficient population size and fiscal self-reliance. Using statistical data from 2017 to 2019, we employ curve regression analysis in SPSS to estimate the efficient population sizes of these urban agglomerations and examine differences in financial efficiency over time and space. Our analysis reveals that cities with populations over 10 million hinder fiscal efficiency in the Yangtze River Delta, those with 3–5 and 5–10 million in the Yangtze River Middle Reaches, and those with 5–10 and 1–5 million in the Chengdu-Chongqing urban agglomerations. The maximum financially efficient population sizes are estimated at 648 million for the Yangtze River Delta, 308 million for the Yangtze River Middle Reaches, and 320 million for the Chengdu-Chongqing urban agglomerations. Considering various fiscal indicators, all three agglomerations demonstrate varying degrees of efficiency. The innovation of this study lies in the interdisciplinary approach, integrating finance, demography, urban planning, and regional economics. By analyzing population size from a fiscal perspective, we provide a novel theoretical framework and analytical tool for policymakers. This study highlights the importance of fiscal balance and population optimization in urban agglomerations, contributing to regional coordinated development and sustainable growth. [ABSTRACT FROM AUTHOR]

The article delves into the Framework Conditions for Net-Zero Industry Clusters in Europe, emphasizing the significance of innovation and industrial perspectives in achieving decarbonization goals. It underscores the need to enhance competitiveness in key net-zero technologies to avoid external dependencies and highlights the role of industry clusters in sustainable growth. The document also explores potential characteristics and locations of future net-zero industry clusters in Europe, addressing spatial competitiveness issues and relevant location factors. Insights from experts like Michael Porter are included, covering topics such as clusters, regional development, and renewable energy sources. [Extracted from the article]

The topic of regional resilience has gained notoriety in regional economics and economic geography in recent years. The main aim is to understand why regions react differently to adverse shocks. To this end, several empirical studies have analyzed the impacts economic crises have had on the performance of regional economies and found considerably asymmetric results. Similarly, this study analyzes the duration of the 2008 crisis in Brazilian regions and aims to identify the characteristics that allowed some regions to rapidly recover from the crisis. However, the main novelty of this study lies in the fact that to do so, statistical tools from survival analysis were used. The findings suggest that having more educated workers and being located within metropolitan regions are two characteristics that contribute to faster recovery. [ABSTRACT FROM AUTHOR]

Until recently, studies on agricultural finance in India mostly focus on farmers' access to formal credits, thereby largely sidelining their informal borrowings. This study makes an effort to present an analysis of farmers' informal debts and their distribution across the major farm-size groups in India. The study uses unit-level data from the 77th round 'Situation Assessment Survey (SAS)' of agricultural households conducted by the National Statistical Office (NSO), Ministry of Statistics and Programme Implementation (MOSPI), Government of India (GOI), during January–December, 2019. Data were collected for the reference period of July 2018–June 2019. We use descriptive statistics and multivariate regression procedures for analysis. Results show that about one-half of the borrowers continue to depend on informal credit sources—partially or fully. Informal sources also account for about one-third of the total debt of the agricultural households. Informal debt incidence (IDI) and informal debt share (IDS) are found to be higher among the smallholders. Our findings are imperative of policy measures to improve the current state of the antecedents of formal credit access to benefit the otherwise high default risk and credit-rationed smallholders. Future studies may focus on formal credit rationing, informal credit terms and repayment burden of the agricultural households in India. [ABSTRACT FROM AUTHOR]

From the perspective of investment-driven to innovation-driven for high-quality development, this study discussed an influence mechanism of investment structure optimization on the industrial agglomeration degree and its growth path of balanced regional economics. We put forward assumptions about their relationship with a mediator of the regional innovation capability and a moderator of the market-oriented business environment to solve problems of the regional economic gap to accelerate the construction of a unified national market in China. We used the regional industrial data of 31 provinces in China from 2004 to 2017 to verify these hypotheses. Finally, we found that regional innovation capability completely moderates the relationship between investment structure optimization and industrial agglomeration degree, and the market-oriented business environment adequately moderates the relationship. This result shows that regional innovation capability and market-oriented business environment restrict industrial agglomeration degrees and accelerate the integration of diversified capital. So, improving the investment of human capital and R&D capital is the key to solving the regional economic gap. It has enriched the research of high-quality development and provided necessary enlightenment for the practical application of regional industrial economic growth. [ABSTRACT FROM AUTHOR]

Abstract Cableways alleviate access to the Alps and were crucial in establishing the skiing tourism boom of the after-war years. Moreover, cableway operators employ a large share of residents, are complemented by tourism-related services and are therefore a key economic pillar in otherwise laggard regions. We exploit comprehensive historical data of all ever-built cableways in Switzerland linked to income and population data to show how much ski area access benefits the municipalities’ economy compared to similar municipalities without such access on their territory. Evaluating difference-in-differences, we find that opening a ski area between 1940 and 1980 is related to economic growth that persists until today. Particularly, it attracted new residents and created more productive employment opportunities in tourism-related services, thereby raising incomes and tax revenues. Our results contribute to the debate of what economic risks municipalities with access to ski areas face once the decreasing snowpack forces a ski area to close.

Abstract Bioelectricity generation from sugarcane is significant across Brazil and is related to regional market structure characteristics where the mills are located. To understand the distribution and conjuncture of this sector, this study analyzes the pattern of location, concentration and clustering of the bioelectricity supply from sugarcane bagasse in Brazil, for 2017 and 2022. The data were obtained from the Brazilian National Electric Energy Agency, and the methodology was based on concentration indices and scan statistics. The results showed that the Southeast region presented the most thermoelectric power plants and installed capacity. The Southeast and Midwest regions were highly concentrated in terms of quantity and sugarcane bioelectricity installed capacity. Five clusters were identified for the number of power plants in 2017; for 2022, there were eight clusters. Regarding installed potential, there were 14 clusters in 2017 and 23 clusters in 2022, all statistically significant. The existence of clusters provides information on the competitive advantages in the national market, which can drive new investments in more densified areas or in the neighborhood. Identification of the location and concentration pattern showed that facilities in the state of São Paulo and the Northeast coast were responsible for the most important share of supply. These results indicate to investors the impact of electricity generation on the sector and the most relevant location for installing new thermoelectric plants.

Cableways alleviate access to the Alps and were crucial in establishing the skiing tourism boom of the after-war years. Moreover, cableway operators employ a large share of residents, are complemented by tourism-related services and are therefore a key economic pillar in otherwise laggard regions. We exploit comprehensive historical data of all ever-built cableways in Switzerland linked to income and population data to show how much ski area access benefits the municipalities' economy compared to similar municipalities without such access on their territory. Evaluating difference-in-differences, we find that opening a ski area between 1940 and 1980 is related to economic growth that persists until today. Particularly, it attracted new residents and created more productive employment opportunities in tourism-related services, thereby raising incomes and tax revenues. Our results contribute to the debate of what economic risks municipalities with access to ski areas face once the decreasing snowpack forces a ski area to close. [ABSTRACT FROM AUTHOR]

Direct air capture (DAC) systems that capture carbon dioxide (CO2) directly from the atmosphere are garnering considerable attention for their potential role as negative emission technologies in achieving net-zero CO2 emission goals. Common DAC technologies are based either on liquid–solvent (L-DAC) or solid–sorbent (S-DAC) to capture CO2. A comprehensive multi-factor comparative economic analysis of the deployment of L-DAC and S-DAC facilities across various United States (U.S.) cities is presented in this paper. The analysis considers the influence of various factors on the favorability of DAC deployment, including local climatic conditions such as temperature, humidity, and CO2 concentrations; the availability of energy sources to power the DAC system; and costs for the transport and storage of the captured CO2 along with the consideration of the regional market and policy drivers. The deployment analysis in over 70 continental U.S. cities shows that L-DAC and S-DAC complement each other spatially, as their performance and operational costs vary in different climates. L-DAC is more suited to the hot, humid Southeast, while S-DAC is preferrable in the colder, drier Rocky Mountain region. Strategic deployment based on regional conditions and economics is essential for promoting the commercial adoptability of DAC, which is a critical technology to meet the CO2 reduction targets. [ABSTRACT FROM AUTHOR]

Copyright of Qardhul Hasan: Media Pengabdian Kepada Masyarakat is the property of Universitas Djuanda and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Bioelectricity generation from sugarcane is significant across Brazil and is related to regional market structure characteristics where the mills are located. To understand the distribution and conjuncture of this sector, this study analyzes the pattern of location, concentration and clustering of the bioelectricity supply from sugarcane bagasse in Brazil, for 2017 and 2022. The data were obtained from the Brazilian National Electric Energy Agency, and the methodology was based on concentration indices and scan statistics. The results showed that the Southeast region presented the most thermoelectric power plants and installed capacity. The Southeast and Midwest regions were highly concentrated in terms of quantity and sugarcane bioelectricity installed capacity. Five clusters were identified for the number of power plants in 2017; for 2022, there were eight clusters. Regarding installed potential, there were 14 clusters in 2017 and 23 clusters in 2022, all statistically significant. The existence of clusters provides information on the competitive advantages in the national market, which can drive new investments in more densified areas or in the neighborhood. Identification of the location and concentration pattern showed that facilities in the state of São Paulo and the Northeast coast were responsible for the most important share of supply. These results indicate to investors the impact of electricity generation on the sector and the most relevant location for installing new thermoelectric plants. [ABSTRACT FROM AUTHOR]

The article "EU Cohesion Policy: A Multidisciplinary Approach" published in the Hungarian Geographical Bulletin discusses the evolution, current status, and future challenges of the European Union's Cohesion Policy (CP). The CP aims to reduce territorial disparities between Member States and regions, promoting solidarity within the EU. The book review section highlights the multidimensional and multidisciplinary approach of the volume, making it suitable for academics, policymakers, practitioners, and students interested in CP and European integration. [Extracted from the article]

Copyright of Revista de Economia e Sociologia Rural is the property of Sociedade Brasileira de Economia e Sociologia Rural and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A spatial cross-correlation is a measure of the interaction of one local variable on another variable of the surrounding regions. In regional economics, the observed variables are mostly dynamic over time. When the time dimension is accommodated using spatial panel data, the time dependence can be addressed properly. Therefore, this study aims to formulate a dynamic time-dependent spatial cross-correlation index based on spatial panel data. The conducted simulation study shows the good performance of the measure. It also performs well in measuring the spatial cross-correlation between regional GDP growth and the percentage of urban population of the 38 East Java regencies/municipalities. [ABSTRACT FROM AUTHOR]

Copyright of Mexican Journal of Economics & Finance / Revista Mexicana de Economia y Finanzas is the property of Instituto Mexicano de Ejecutivos de Finanzas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Geoprocessing tools are great allies in the management of water resources, permitting the evaluation of several factors integrated into a multicriteria analysis. This improves the interpretation of the behavior of water and soil in hydrographic basins, allowing the delimitation of priority areas for actions. The objective of this study was to prepare a map of priority areas for water conservation in the Alto Iguaçu basin through a multicriteria analysis, aiming to assist in the management of water resources in the region. The priority map for water conservation was prepared using the weighted linear combination (WLC) method, considering the weight added to the factors that were obtained by the analytic hierarchy process (AHP) method. The method successfully identified priority areas for water conservation, where 40.7% of the Alto Iguaçu watershed was considered High priority and Very High priority, a number consistent with regional characteristics. The multicriteria analysis proved to be a flexible and easy to implement methodology, which can help managers when considering the trade‐offs among several factors. The implementation of water conservation actions in areas that have been classified as being of High and Very High priority can benefit the regional ecosystem by controlling erosion, regulating the flow of water, and thus conserving the quantity and quality of water in the basin and its downstream region, benefiting the population and regional economics. Integr Environ Assess Manag 2024;20:1087–1098. © 2023 SETAC Key Points: The multicriteria analysis proved to be a flexible and easy‐to‐implement methodology, which can help managers when considering the trade‐offs between several factors.The implementation of water conservation actions in areas that have been classified as High and Very High priority can benefit the entire regional ecosystem by controlling erosion and regulating the flow of water.Among the 10 criteria chosen for the analysis, erodibility, proximity to springs, slope, and proximity to rivers stand out, which together represent 65.78% of the total weight attributed to the factors; this demonstrates the importance of focusing on the minimization of the impacts of these factors. [ABSTRACT FROM AUTHOR]

toll roads, socio, economic. The purpose of this research is to identify the influence of policy implementation on the construction of the Pekanbaru-Dumai toll road on the socio-economic conditions of the people of Bukit Kapur District, Dumai City. This research was carried out using a qualitative descriptive research method approach because this research explored the impact of toll road construction on the communities around the toll road, namely in Bukit Kapur District, where the construction of the Pekanbaru - Dumai Toll Road passes. Types and Sources of Data in this research are primary data and secondary data which include observation, non-participants, interviews and documentation. The results of the research show that the negative impact of the construction of toll roads is the use of very extensive land which will directly impact the land layout of agriculture as a whole, opening new residential and industrial areas which will directly reduce the area of agricultural land, road construction can also kill small businesses such as restaurants, grocery stores, cell phone counters and others along the Dumai - Pekanbaru highway which is now no longer the main route so they are no longer visited and the construction of toll roads hastened the demise of Pinang Kampai Dumai airport because land travel via toll roads is more efficient so now there are no more flights, while the positive impact of the construction of this toll road. The existence of toll roads will provide various conveniences, starting from cutting travel time between cities and facilitating the delivery of goods and logistics. The presence of economic opportunities for communities around the route and toll road gates so that the regional economy will grow higher so that welfare will also increase. [ABSTRACT FROM AUTHOR]

Copyright of Comparative Economic Research is the property of Wydawnictwo Uniwersytetu Lodzkiego and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The vector information of mountainous roads is great significance, including regional economics, emergency response, disaster management, among others. Nevertheless, there are irregular deformations in existing vector data, coupled with incomplete extraction results for mountainous roadways. These issues pose challenges in establishing a matching model between road extraction results and existing vector data, significantly reducing the efficiency of automated updates for the current vector data. Targeting roads as a distinct artificial feature and leveraging their topological connectivity, we propose a vector data updating method based on matching point pair grouping. Firstly, we employ the SDUNet model to extract mountainous road and utilize the Superglue model to match road binary images with vector binary images, resulting in sets of initial matching point pairs. Subsequently, we propose a road line extraction model that groups matching point pairs, eliminates misaligned pairs based on road topological connectivity, and establishes a mapping relationship between road lines and vector lines. Ultimately, through road line optimization and vector line optimization methods, we accomplish the automatic updating of vector data for mountainous roadways. Through a comprehensive analysis of over 2600 vector data, our method demonstrates substantial advantages in terms of both F1 and IoU compared to alternative methods. [ABSTRACT FROM AUTHOR]

Food insecurity is a fairly pervasive problem throughout the United States that is especially burdensome for low-income regions. While the latter is generally recognized, there have been very few efforts to quantify the dollar costs of food insecurity, especially at the regional level. This study attempts to do so for El Paso County, Texas. This is achieved by first adjusting for inflation cost estimates in a prior national level study. Regional differences with respect to the nation are then utilized to calculate comparable costs for El Paso. Results indicate that the economic damage wrought by food insecurity in El Paso during 2023 exceeded $745 million. That represents nearly 2 percent of total personal income in the county for that year. [ABSTRACT FROM AUTHOR]

Assessing the effectiveness of radical and incremental innovation in small and medium enterprises (SMEs) in Eastern European countries is a significant issue in regional economics. In contrast, radical innovation entails the creation of wholly novel goods or organization processes that establish new markets. Progressive enhancements to current goods and processes are referred to as incremental innovation. This study explains the influence of incremental and radical innovation on the performance of SMEs in Eastern Europe. Employing EUROSTAT data from 2012 to 2021 and using regression analysis and a graphical model, the examines basic, radical, and incremental innovation and total researcher performance in SMEs, which could enormously affect business performance in Eastern European countries. Our findings indicate that radical, incremental innovation, and total research are all favorably related to the performance of SMEs and an approach to studying various innovations and their impact on SMEs. The particular performance effects of radical and incremental innovations in Eastern European SMEs might vary considerably, and empirical investigations and comprehensive research are required to provide more specific knowledge and suggestions for them. Our results can contribute to SMEs both theoretically and practically, providing fresh theoretical perspectives for scholars and helpful management consequences for administrators of SMEs in developing countries. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Animal Production & Processing Technology / JurnalIlmu Produksi dan Teknologi Hasil Peternakan is the property of IPB University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Sport tourism is a potential that can be developed by every area, because sport and tourism can support each other which in turn can trigger a good economic impact on the area. The sport of running which is very popular recently has resulted in many running events in every city. This sport has become a lifestyle in several cities, including Yogyakarta. Jogja is one of the areas where sports events (running) are often held. This sporting lifestyle has many potential economic impacts on the surrounding area, such as coffee shops which are usually a gathering point for the running community. According to previous research, after a sporting event each region will receive an impact such as the regional economy will develop, therefore the researcher wants to know whether there is an economic impact on the UMKM (Coffee Shop) and how this happens will be analyzed qualitatively by the researcher. [ABSTRACT FROM AUTHOR]

Space has always been essential within the economy, yet its importance in economics has been downplayed in several ways. This editorial introduces the seven papers comprising this issue of Spatial Economic Analysis (SEA) and shows that while the classics of economics acknowledged the importance of the location of economic activities, for many years the study of space was left to heterodox economics scholars and geographers. This is despite the established tradition of learned societies, such as Regional Science International and the Regional Studies Association, which are placed at the intersection of these fields. Space finally became mainstream in economics again due, on the one hand, to the introduction of the new economic geography some 30 years ago and, on the other, to the fact that several different economic sub-disciplines have come to understand and consider space as essential for the processes they study. This was facilitated by methodological advancements, such as in spatial econometrics. The seven papers in this issue henceforth illustrate some of the situations and approaches which make space relevant to contemporary economic questions. Essential are, in particular, the interactions between different locations and the interactions between individuals and geographical features. [ABSTRACT FROM AUTHOR]

This article is a tribute to Kieran Donaghy, a respected professor and mentor in the field of regional science. Donaghy joined Cornell University in 2007 and made significant contributions to the Department of City and Regional Planning. He served as the Director of Graduate Studies for Regional Science and injected new energy into the program. Donaghy's research focused on topics such as globalization, climate change, and international conflict resolution. He was also known for his mentoring and support of junior scholars. The article includes four papers that represent the breadth of Donaghy's interests and contributions to regional science. [Extracted from the article]

In the past two decades, Turkey has experienced a noteworthy increase in the establishment of universities and enrollment of students across various degree programs. However, this surge in higher education has been accompanied by a growing number of unemployed higher education graduates. To address this phenomenon, this research conducts a comprehensive analysis of the relationship between different levels of tertiary education, undergraduate, master's, and Ph.D. (Doctorate) and unemployment. The study utilizes TurkStat's regional database, covering data from 26 provinces in Turkey spanning the years 2008 to 2021. Prior to delving into coefficient analysis, the Dumitrescu and Hurlin (2012) panel causality test was applied to identify the direction of potential causality and to establish an accurate model. The findings suggest a potential causal relationship running from being a higher education graduate, at all levels (bachelor's, master's, and PhD ), to unemployment rate. Subsequently, to further scrutinize this relationship in light of causality findings, the Panel Augmented Mean Group estimator (AMG) was employed. The results indicate that a 1% increase in the total number of Bachelor's degree graduates is associated with a 1.16% increase in unemployment rate. Based on these findings, it can be argued that, instead of further investing in higher education, a policy approach targeting middle-skilled jobs through advanced investment in vocational high schools may be more cost-effective.

AbstractWe developed regional input–output tables for Northern Ghana using the latest 2018 national input-output table for Ghana and the 2021 Ghana population and housing census data. Four variants of the location quotient concept, based on employment data for 17 industries, were used for the derivation of output impact multipliers. A comparative output analysis of the results was undertaken using the derived regional multipliers compared to those generated from analysis involving national data. The Round location quotient (RLQ) was the best of the four location quotients assessed for the regionalization of the national input–output table. The results of the analysis using the RLQ are consistent with evidence from secondary sources dealing with Northern Ghana based on economic output impacts.

This study aims to determine the occurrence of convergence in inclusive economic growth at both the national and regional levels, as well as the factors that drive the increase in inclusive economic growth to reduce regional disparities. The analysis used is sigma convergence, absolute beta convergence, and conditional beta convergence. The data used is a panel consisting of 21 provinces in the Western Region of Indonesia (KBI), including Sumatra, Java and Kalimantan, 13 provinces in the Eastern Region of Indonesia (KTI), namely Sulawesi, Nusa Tenggara and Bali, Maluku and Papua, as well as national level consisting of 34 provinces in Indonesia from 2017 to 2021. This study shows that at the national level, KBI and KTI, there has been both sigma convergence and absolute beta convergence. Conditional beta convergence only occurs at the national level and KBI. Meanwhile, in KTI, there is no process of conditional beta convergence or what can be called divergence occurring. Variables that significantly affect the convergence process at the national level include government expenditure in the economic, health, and social protection sectors, domestic investment, and the open unemployment rate. At the KBI, significant factors include government expenditure in social protection sectors domestic investment and the unemployment rate. At the KTI, significant factors include government expenditures on the economic, health, and social protection sectors, foreign investment, and the unemployment rate. [ABSTRACT FROM AUTHOR]

We examine the effect of a place-based policy in China, the Northeastern Revitalization Program. In 2003 the State Council of the People's Republic of China initiated the program in northeastern China by removing an agricultural tax, enhancing the urban social security system, facilitating foreign investment, and restructuring state-owned enterprises in the region. Using the synthetic control method, we find that the program had no significant effect on GDP per capita in all three regions. Liaoning had slightly worse GDP per capita post-treatment, as did Heilongjiang (albeit to a lesser extent). While the multiple synthetic control analysis shows that economic outcomes were worse post-treatment, the impact of this program was heterogeneous across the three regions. We argue the lackluster performance likely comes from the continuing dominance of inefficient state-owned enterprises in the provinces. [ABSTRACT FROM AUTHOR]

Can entrepreneurial activity be stronger and more persistent than the continuity of socialist institutions? The answer to this question is overwhelmingly positive. Using the historical data on entrepreneurship, retail trade and cooperatives in Russian regions, this study shows a strong persistence of entrepreneurship activity in Russia during the period 1926–2018, while we also evidence that the restructuring of the Soviet economy resulted in a structural break in the 1970s. By distinguishing three periods of 1998–99, 2000–07 and 2008–18 since the transition started, we demonstrate that the historical persistence of entrepreneurship is not constant and may change from one period to another. [ABSTRACT FROM AUTHOR]

Recognising the intricate link between ports and regional economies, this study investigates the spillover effects of neighbouring ports on regional industrial diversification and economic resilience. Analysing South Korea's 2006–20 export data from port and neighbouring port regions, it uncovers the unique feature of ports as a distinctive knowledge source within their port regions, mainly attributable to the respective logistic and trade systems governing similar product groups. The paper confirms that ports facilitate industrial diversification through spillover effects when it is related with the regional industries. Emphasising ports' role in strengthening economic resilience, it highlights their significance in nurturing emerging industries post-crisis. [ABSTRACT FROM AUTHOR]

This paper addresses debates on the role of agency in shaping the economic future of regions. Scholarship on agency departs from the earlier focus of evolutionary economic geography, which highlighted the role of pre-existing structural conditions. This paper challenges the notion that agency is only found in intentional action and is limited to key actors within a region. It questions exclusive focus on the impact of entrepreneurial leaders, place leaders and government, and identifies agency in the accumulated micro-decisions of multiple decision-makers, using the example of workers affected by the closure of Australia's passenger vehicle industry. In so doing, it underscores the twin roles of collective vision and meaningful implementation in the successful transformation of regions. [ABSTRACT FROM AUTHOR]

Research examining the economic effects of urban polycentricity remains inconclusive. We contribute to this debate by developing a longitudinal framework in which changes in polycentricity in Chinese urban regions are linked with changes in total factor productivity. While we find no evidence of urban polycentricity being conducive to economic growth, we observe that the relationship depends on population size and the interactions between cities. We also find that cities borrow size from nearby cities in large urban regions, contributing to regional economic growth. We use our findings to reflect on China's regional economic and urban development strategies. [ABSTRACT FROM AUTHOR]

Institutional theory holds that local governance is essential in shaping regional economic activity. This study evaluates whether local economic growth targets offset the detrimental effect of nationwide policy uncertainty on local business performance. Regression analyses of data from industrial firms and manually collected data on city economic growth targets in China show that higher local growth targets result in greater corporate investment, conditional on nationwide policy uncertainty, and that the impact is substantial through financial subsidies and allocating credit resources. However, local discretion in economic growth target setting might cause investment misallocation and efficiency loss. [ABSTRACT FROM AUTHOR]

Copyright of World Water Policy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article is a report from the editor of the American Economic Journal: Microeconomics, which covers various topics in microeconomics. The journal follows a blind review process and provides data on the submission and review process, including first decision times, average processing times, and article length. The data shows the journal's commitment to timely responses and clear resubmission contracts, as well as the increasing length of papers and the requirement for authors to archive their data and programs. The article expresses gratitude to the reviewers and authors for their contributions. The given text is a list of names, but it does not provide any information about the content or context of the publication or the individuals listed. [Extracted from the article]

The article provides an overview of the American Economic Journal: Economic Policy (AEJ Policy), a peer-reviewed journal that publishes papers on economic policy and its impact on economic outcomes. It discusses the editorial procedures, disclosure policies, and the role of the editorial board. The article also provides data on the number of submissions and publications, as well as the status of manuscripts. The journal aims to make timely decisions and maintain a high standard of review. [Extracted from the article]

The article is a report from the editor of the American Economic Journal: Applied Economics, a journal that publishes empirical papers on various topics in applied economics. The report discusses the distribution of papers published, the editorial process, and the use of associate editors. The journal aims for quick turnaround times and has increased the number of papers published per year. The given text appears to be a list of names, possibly of authors or contributors to a document or publication, but it is unclear what the specific content of the document is based solely on the list of names. [Extracted from the article]