Infrastructure and EU Regional Convergence: What Policy Implications Does Non-Linearity Bring? DOI Creative Commons
Alma Mačiulytė-Šniukienė, Mindaugas Butkus, Renata Macaitienė

и другие.

Mathematics, Год журнала: 2022, Номер 11(1), С. 1 - 1

Опубликована: Дек. 20, 2022

One of the priority areas EU is infrastructure development. Over 2021–2027, it planned to allocate more than 116 billion EUR support from structural funds transport and ICT infrastructure. For investments promote growth lagging regions reduce regional disparities, must be efficiently allocated. Considering limitations previous studies, this study aims provide recommendations for policymakers regarding investment allocation after assessing non-linear relationships between development convergence MS NUTS2 regions. The general specification estimations based on neoclassical conditional beta-convergence model. Additionally, a with interactions developed estimate effect convergence. We used Generalized Methods Movement estimator robustness check possible endogeneity bias. Estimations indicated that relationship present. have found strong evidence diminishing marginal identified tipping point which slows down convergence, i.e., still present but at slower rate. results made several essential would increase effectiveness in Investments should distributed according smaller units, NUTS 2 level. optimal level ensures each type has established ensure are not too intense generate maximum potential outcomes.

Язык: Английский

Infrastructure and economic growth: evidence from Zambia DOI
Kiru Sichoongwe

African Journal of Economic and Management Studies, Год журнала: 2025, Номер unknown

Опубликована: Янв. 24, 2025

Purpose This study aims to empirically assess how infrastructure development influenced economic growth in Zambia from 2000 2020. Design/methodology/approach The uses data the World Development Indicators (WDI), spanning selection of this time period was determined by availability related research. Autoregressive Distributed Lag (ARDL) bounds testing approach used for analysis. Findings findings show that is cointegrated with capacity generate electricity, proving existence a long-run equilibrium relationship between them. Furthermore, empirical results established electricity generation had positive and significant impact on growth. Similarly, short run, capacity, mobile cellular services Practical implications Policy measures should prioritise increasing producing expanding access energy relevant sectors. Increased these sectors can raise productivity, spur accelerate industrialisation. Also, light climate change, it crucial policymakers explore alternate sources generation, such as green renewable sources. policy initiatives infrastructure, given technology has become vital component economies continues offer unprecedented opportunities Originality/value presents novel evidence unique Zambia, highlighting pivotal factors enhancing productivity spurring industrial development.

Язык: Английский

Процитировано

0
Economic infrastructure and its impact on economic growth: a case study of 7 sister states DOI

Seerat Sajjad,

Khursheed Hussain Dar

Journal of Financial Management of Property and Construction, Год журнала: 2025, Номер unknown

Опубликована: Фев. 8, 2025

Purpose This study aims to analyse the impact of economic infrastructure on growth in seven sister states North Eastern India, covering period 2005–2019. Design/methodology/approach The authors analysed data using fixed, random and feasible generalised least squares (FGLS) methods assess infrastructure, which includes roads, per capita availability power, electricity transmission losses, commercial banking gross irrigation, growth. Findings Based results derived from FGLS estimates, increase road length, banks irrigation affected positively. In addition, decreased with rise population infant mortality rate. Research limitations/implications future scope this can be extended by inclusion social education health sectors these states. causality between assessed long run. Finally, channels through a relationship exists taken into account. underlines need for substantial investment such as transport India drive It highlights importance targeted policies address gaps enhance regional connectivity Southeast Asia. Emphasising cross-border collaboration leveraging local resources stimulate development innovation. These efforts are crucial overcoming disparities integrating East broader frameworks. Social implications significant socioeconomic benefits showing how improved power availability, India. suggests that better leads increased productivity, job creation living standards. emphasises reducing help reduce disparities, integrate region larger networks foster inclusive development. have far-reaching impacts, contributing overall advancement area. Originality/value offers unique contribution empirically analysing role promoting at sub-national level, i.e. Using advanced econometric techniques fixed/random effects panel models, it mitigates issues measurement errors omitted variables some extent. research introduces previously unexplored variables, including banking, providing new insights landscape. findings offer guidance policymakers improve invest fostering sustainable

Язык: Английский

Процитировано

0
Socio-economic profiles of countries - cybercrime victims DOI Creative Commons
Hanna Yarovenko,

Agnieszka Łopatka,

Tetyana Vasilyeva

и другие.

Economics & Sociology, Год журнала: 2023, Номер 16(2), С. 167 - 194

Опубликована: Июнь 1, 2023

Adeyemo, K. A., Isiavwe, D., Adetula, Olamide, O., & Folashade, O. (2020). Mandatory adoption of the Central Bank Nigeria’s cashless and e-payment policy: implications for bank customers. Banks Systems, 15(2), 243-253. https://doi.org/10.21511/bbs.15(2).2020.21 Barabashev, Makarov, I., Zarochintcev, S. (2022). How to shape government policies on high-technology development using indicative evaluation risks? Administratie si Management Public, 38, 70-89. https://doi.org/10.24818/amp/2022.38-04 Bayram, M., Akat, M. (2019). Market-Neutral Trading with Fuzzy Inference, a New Method Pairs Strategy. Engineering Economics, 30(4), 411-421. https://doi.org/10.5755/j01.ee.30.4.14350 Bing, C., Schectman, J. Inside UAE’s secret hacking team American mercenaries. Retrieved from: https://www.reuters.com/investigates/special-report/usa-spying-raven/ (31.01.2023). Bozhenko, V. Tackling corruption in health sector. Health Economics Review, 3(3), 32-39. https://doi.org/10.21272/hem.2022.3-03 V., Lyeonov, Polishchuk, E. Boyko, A. Artyukhova, N. Identification determinants government: mar-spline approach. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 6, 176-180. https://doi.org/10.33271/nvngu/2022-6/176 Mynenko, S., Shtefan, (2022b). Financial Fraud Detection Social Networks Based Data Mining Approach. Markets, Institutions Risks, 6(4), 119-124. https://doi.org/10.21272/fmir.6(4).119-124.2022 Caballero-Morales, S.-O., Cordero Guridi, de J., Alvarez-Tamayo, R. Cuautle-Gutiérrez, L. EDUCATION 4.0 support entrepreneurship, social education emerging economies. International Journal Entrepreneurial Knowledge, 8(2), 89-100. https://doi.org/10.37335/ijek.v8i2.119 Chen, Y., Xu, Lyulyov, Pimonenko, T. (2023). China’s digital economy development: incentives challenges. Technological Economic Development Economy, 29(2), 518-538. https://doi.org/10.3846/tede.2022.18018 Ćwiklicki, Wojnarowska, Circular Economy Industry 4.0: One-Way or Two-way Relationships? 31(4), 387-397. https://doi.org/10.5755/j01.ee.31.4.24565 DavidPur, Which Countries are Most Dangerous? Cyber Attack Origin – by Country. https://blog.cyberproof.com/blog/which-countries-are-most-dangerous Dečman, Stare, Klun, The impact COVID-19 crisis information society Slovenia. 39, 77-96. https://doi.org/10.24818/amp/2022.39-05 Deutsche Welle Ukrainian websites hacked 'global attack'. https://www.dw.com/en/ukraine-government-websites-hacked-in-global-attack/a-60421475 Dluhopolskyi, Pakhnenko, Semenog, N., Cholewa-Wiktor, Jastrzębski, W. Digital financial inclusion: impacts opportunities. Sustainability (Switzerland), 15(3), 2383. https://doi.org/10.3390/su15032383 Economist Intelligence Democracy Index. https://www.eiu.com/n/campaigns/democracy-index-2022/?utm_source=google&utm_medium=paid-search&utm_campaign=democracy-index-2022&gclid=CjwKCAjwgqejBhBAEiwAuWHioAEruOQA25JyHg-61MBEiYNJp9hvu3Pf91E_tWO2W0nauZ6on003ORoC6UsQAvD_BwE E-Governance Academy National Security https://ncsi.ega.ee/ncsi-index/ Fobel, P., Kuzior, future (Industry 4.0) is closer than we think. Will it also be ethical? Paper presented at AIP Conference Proceedings, 2186. https://doi.org/10.1063/1.5137987 Glova, Bernatik, W., Tulai, Determinant Effects Political Factors Country Risk: An Evidence from EU Countries. Montenegrin 16(1), 37-53. https://doi.org/10.14254/1800-5845/2020.16-1.3 Gontareva, Babenko, Kuchmacz, B., Arefiev, Valuation resources analysis cybersecurity entrepreneurship. Estudios De Economia Aplicada, 38(4), https://doi.org/10.25115/EEA.V38I4.3984 Gupta, Mishra, Ethical Concerns While Using Artificial Recruitment Employees. Business Ethics Leadership, 6(2), 6-11. https://doi.org/10.21272/bel.6(2).6-11.2022 Gurbanov, Yagublu, Akbarli, Niftiyev, I. Digitalization Covid-19-led public management: an sustainability Azerbaijan business SocioEconomic Challenges, 6(3), 23-38. https://doi.org/10.21272/sec.6(3).23-38.2022 Institute Peace Global Terrorism Index 2022. https://reliefweb.int/report/world/global-terrorism-index-2022 Kaspersky Cyberthreat real-time map. https://cybermap.kaspersky.com/ Krebs, B. (2021). At Least 30,000 U.S. Organizations Newly Hacked Via Holes Microsoft’s Email Software. https://krebsonsecurity.com/2021/03/at-least-30000-u-s-organizations-newly-hacked-via-holes-in-microsofts-email-software/ Kumar, Efficiency 4.0. Human Technology, 15(1), 55-78. https://doi.org/10.17011/ht/urn.201902201608 Kurniawati, E., Kohar, U.H.A., Pirzada, Change destroy: transformation Indonesian MSMES achieve sustainable economy. Polish Studies, 26(2), 248-264. https://doi.org/10.17512/pjms.2022.26.2.15 Kwilinski, Cognitive technologies artificial intelligence perception. Systems Production Engineering, 30(2), 109-115. https://doi.org/10.2478/mspe-2022-0014 Kuzmenko, Šuleř, Judrupa, Boiko, mining bifurcation risk money laundering involvement institutions. 13(3), 332-339. https://doi.org/10.14254/2071-8330.2020/13-3/22 Lăzăroiu, G., Androniceanu, Grecu, Neguriță, intelligence-based decision-making algorithms, Internet Things sensing networks, sustain-able cyber-physical management systems big data-driven cognitive manufacturing. Oeconomia Copernicana, 13(4), 1047-1080. https://doi.org/10.24136/oc.2022.030 Lucas, G. (2016). Warfare: Quest Responsible Age Warfare. Oxford University Press. Tiutiunyk, Podgórska, tax gap macroeconomic stability: Assessment panel VEC 14(1), 139-152. https://doi.org/10.14254/2071-8330.2021/14-1/10 Mačiulytė-Šniukienė, Butkus, Davidavičienė, model examine infrastructure economic growth convergence. Management, 23(3), 731-753. https://doi.org/10.3846/jbem.2022.17140 Melnyk, L., Derykolenko, Kubatko, Matsenko, models reproduction cycles CEUR Workshop 2393, 269-276. https://www.scopus.com/record/display.uri?eid=2-s2.0-85069504652&origin=resultslist Piven, Klymenko, K., Rybina, transformations promotion: A case OECD countries. Environmental 12(1), 140-148. https://doi.org/10.21511/EE.12(1).2021.12 Millia, H., Adam, P, Muhatlib, Tajuddin Pasrun, Y. P. Effect Inward Foreign Direct Investment Information Communication Technology Growth Indonesia. AGRIS on-line Papers Informatics, 69-79. https://doi.org/10.7160/aol.2022.140106 Mnohoghitnei, Horobeț, Belașcu, Bitcoin so Last Decade-How Decentralized Finance (DeFi) could Shape Economy. European Interdisciplinary 87-99. https://doi.org/10.24818/ejis.2022.01 Numbeo Crime https://www.numbeo.com/crime/rankings_by_country.jsp?title=2022 Orlov, Bukhtiarova, Marczuk, Heyenko, state security: causal analysis. Problems Perspectives 19(4), 301-310. https://doi.org/10.21511/ppm.19(4).2021.24 Kuan, Z. Innovation Public Administration. 7(1), 113-121. https://doi.org/10.21272/bel.7(1).113-121.2023 Rubanov, Girzheva, Ivashko, Britchenko, Kozachenko, Cryptocurrency: Value formation factors investment risks. 14, 179-200. https://doi.org/10.22059/JITM.2022.88896 Perlroth, Scott, M, Frenkel, (2017). Cyberattack Hits Ukraine Then Spreads Internationally. https://www.nytimes.com/2017/06/27/technology/ransomware-hackers.html Remeikienė, R., Ligita, Fedajev, Raistenskis, Krivins, Links between crime classification. Equilibrium. Quarterly Policy, 17(4), 909-938. https://doi.org/10.24136/eq.2022.031 Rousseeuw, P.J. (1987). Silhouettes: Graphical Aid Interpretation Validation Cluster Analysis. Computational Applied Mathematics, 20, 53-65. https://doi.org/10.1016/0377-0427(87)90125-7 Safarov, Sadiqova, Urazayeva, Abbasova, N Theoretical Methodological Aspects Innovative-Industrial Era Digitalization. Marketing Innovations, 4, 184-197. https://doi.org/10.21272/mmi.2022.4-17 Șavga, Implementing Smart Specialization Concept Republic Moldova: Challenges Initiatives. Research Trade, Development, 6-17. Şavga, Baran, Boosting process smart specialization Moldova. Contemporary Issues (pp. 187-196). Shao, X., Wang, Li, H. Impact technology spatial heterogeneity: openness convergence - evidence provincial data China. Transformations 21(2), 193-213. Shkolnyk, Frolov, Datsenko, Kozmenko, digitalization ensuring security country war: measurement vectors. 19(3), 119-138. https://doi.org/10.21511/imfi.19(3).2022.11 Smith, E.T. (2013). warfare: misrepresentation true cyber threat. Journal, 31(1), 82-85. Sobczak, Analysis Conditions Influencing Assimilation Robotic Process Automation Enterprises. 18(2), 143-190. doi: 10.14254/1795-6889.2022.18-2.4 Statista commonly reported categories worldwide 2022, number individuals affected. https://www.statista.com/statistics/184083/commonly-reported-types-of-cyber-crime-global/ Stehel, Vochozka, Kliestik, T., Bakes, implementing VMI game theory. 10(2), 253-272. https://doi.org/10.24136/oc.2019.013 Straková, Talíř, Váchal, Opportunities threats SMEs. Sociology, 159-171. https://doi.org/10.14254/2071-789X.2022/15-3/9 Heritage Foundation 2023 Freedom. https://www.heritage.org/index/download World Life expectancy birth, total (years). https://data.worldbank.org/indicator/SP.DYN.LE00.IN Zolkover, Ryabushka, (2022a). shadowing challenges stability. 1, 183-191. https://doi.org/10.33271/nvngu/2022-1/183 Cieśliński, Vasa, direct shadow economy: One-way effect multiple-way causality? 15(4), 196-212. https://doi.org/10.14254/2071-8330.2022/15-4/12 Tran, Q. Phan, D. Herdon, Kovacs, Assessing Transformation Two Banks: Case Study Hungary. 14(2), 121-134. https://doi.org/10.7160/aol.2022.140210 Transparency Corruption_Perceptions_Index. https://www.transparency.org/en/cpi/2021?gclid=CjwKCAjw67ajBhAVEiwA2g_jEPyd355cvDdhD7SdWVteYeer5WvV3BZFHMo-Ox6p3vXSGk9wKi4p4BoCRJgQAvD_BwE Tribune Major attack Indian identified: ISPR. https://tribune.com.pk/story/2259193/major-cyber-attack-by-indian-intelligence-identified-ispr Tvaronaviciene, Burinskas, significance competition eu policy. 244-258. https://doi.org/10.14254/2071-789X.2020/13-3/15 Department Homeland Joint Statement Office Director Election Security. https://www.dhs.gov/news/2016/10/07/joint-statement-department-homeland-security-and-office-director-national Vasudevan, Leadership Klang Valley IT Sector: Conceptual 3, 56-65. https://doi.org/10.21272/mmi.2022.3-05 Vitvitskiy, Kurakin, Pokataev, Skriabin, Sanakoiev, Peculiarities cybercrime investigation banking sector Ukraine: review 69-80. https://doi.org/10.21511/bbs.16(1).2021.07 Voo, Hemani, Cassidy, Power https://www.belfercenter.org/sites/default/files/files/publication/CyberProject_National%20Cyber%20Power%20Index%202022_v3_220922.pdf Voronenko, Nehrey, Laptieva, Rohoza, cybersecurity: Assessment, risks trends. Embedded 226-238. https://doi.org/10.1504/IJES.2022.124854 Q., Guan, innovation efficiency China: Dynamic driving factors. 14(14). https://doi.org/10.3390/su14148321 Wisevoter Powerful World. https://wisevoter.com/country-rankings/most-powerful-countries-in-the-world/ Happiness Report https://worldhappiness.report/ed/2022/ Yarovenko, Evaluating threat national security. 18(3), 195-210. https://doi.org/10.21511/ppm.18(3).2020.17 Rogkova, bibliometric terms identifying combating fraud system. 93-104. https://doi.org/10.21272/fmir.6(3).93-104.2022 Yoshimori, Education Gift Integrated Non-Cognitive Skills Future Generations Grow Phase. 5-18. https://doi.org/10.21272/sec.6(2).5-18.2022 Yu, Xinxin, Ruoxi, Tingting, Mediating Role Capital Relationship Expenditure Science Innovation: 129-138. https://doi.org/10.21272/sec.7(1).129-138.2023 Zimaitis, Urbonavičius, Degutis, Kaduškevičiūtė, Influence trust conspiracy beliefs disclosure personal online. 551-568. https://doi.org/10.3846/jbem.2022.16119

Язык: Английский

Процитировано

9
Illicit practices: Experience of developed countries DOI Creative Commons
Hanna Yarovenko,

Tetyana Vasilyeva,

Leonas Ustinovichius

и другие.

JOURNAL OF INTERNATIONAL STUDIES, Год журнала: 2024, Номер 17(2), С. 146 - 177

Опубликована: Июнь 1, 2024

The article is devoted to finding the answer two research questions. What illegal practices are most significant for clusters of developed countries formed by similarities in trends corruption, shadow economy, money laundering, and crime rates? social, economic, regulatory, digital factors influence them each group? pair correlation coefficients illicit indicators confirm presence tight statistically relationships their 36 countries. agglomerative clustering canonical analysis results identified that tackling economy crucial Estonia, Slovenia, Lithuania; corruption Portugal, Hungary, Cyprus, etc.; sector levels Denmark, Norway, Finland, Sweden, New Zealand; Canada, Germany, USA, four Italy, Greece, Turkey, Croatia, Bulgaria, Romania. revealed social regulatory more than economic ones. Network showed single moderate cases. Edge evidence probability confirmed a high relationship between some pairs indicators. However, Bayesian network low likelihood mutual factors, confirming importance group influence.

Язык: Английский

Процитировано

3
Structural modelling for assessing the effectiveness of system for countering legalization of illicit money DOI Open Access

Serhiy Lieonov,

Roman Hlawiczka,

Антон Бойко

и другие.

JOURNAL OF INTERNATIONAL STUDIES, Год журнала: 2022, Номер 15(3), С. 215 - 233

Опубликована: Янв. 1, 2022

The article suggests a scientific and methodological approach to the evaluation of infrastructural component’s effectiveness in anti-money laundering system due digitalization. Structural modelling is basis for mentioned implementation, which consists several steps. First, input data selected terms effective regulation financial services market, law enforcement judicial activities, Next, moving average method used identify growth rate missing values available series. Then, selection relevant factors market regulation, activity, activity digitalization based on principal component analysis. After reducing array comparable form, structural equations can be constructed reflect impact level latent integral characteristics directions work done by regulatory authorities. Finally, model checked adequacy. result this research serve as an information base further strengthening digital vector development institutions agencies overseeing well radical transformation courts Ukraine since currently negatively affects them.

Язык: Английский

Процитировано

4
A Quantitative Picture of the Diversity of Technical Infrastructure in the Catchment Areas of Airports in Poland DOI Creative Commons
Agata Surówka

Deleted Journal, Год журнала: 2024, Номер 14, С. 386 - 397

Опубликована: Апрель 11, 2024

Recent years have brought a very extensive discussion on the definition of regional competitiveness and factors influencing improvement competitive position.The problem is being discussed more widely in research local economy.Its main include technical infrastructure.The aim analysis was to verify differences its level districts located area influence airports Bydgoszcz, Poznań Wrocław future.Recently, many publications been published which researchers make an effort identify infrastructure regions European Union.In literature, lack articles examining it areas overlapping airport isochrones particularly acute.The author decided fill this gap by conducting research, fragment included text, continuation previously research.The forecasting tool medium-term rate change method.The forecasts were prepared for 2022-2023.The results obtained from allowed draw detailed conclusions.

Язык: Английский

Процитировано

0
DETERMINANTS AND PRIORITIES OF REGIONAL ECONOMIC SYSTEMS COHESION GOALS REALIZATION IN THE CONDITIONS OF UKRAINE POST-WAR RECOVERY DOI Creative Commons

B.V. BURKYNSKYI,

O.I. LAIKO

Economic innovations, Год журнала: 2023, Номер 25(1(86)), С. 7 - 22

Опубликована: Март 20, 2023

Topicality. Cohesion policy is an actual direction of the development regional economic systems in Europe and during last decades recognized as main investment EU. However, Ukraine, this became officially regulatory documents from 2020, when State Strategy for Regional Development Ukraine period 2021-2027 was adopted cohesion declared strategic goal. The modern challenges military aggression russian federation COVID-19 pandemia, which struck Ukrainian society, have extremely increased relevance scientific justification directions specific mechanisms tools implementation Ukraine. existing experience long-term EU countries useful, but it requires substantial adaptation to national realities, priorities its should be defined scientifically substantiated, taking into account requirements resisting aggression, post-war recovery, building a stable regions local communities on self-governance basis.Aim tasks. purpose article based decisions regarding determination formation context increasing level social regions, strengthening capacity administrative units, resistance negative influences ensuring recovery effective, capable way European integration.Materials Methods. In order assess essence evolution goals components systems, methods systemic, logical, structural, semantic analysis are used research. provide up-to-date definition reveal concept realities synthesis, theoretical generalization, dialectical applied. assessment essence, content structure field carried out using institutional analysis.Research results. paper examines one principles - principle cohesion. It substantiated that primary provision communities, form powerful functional resource base other social, humanitarian dimensions. According results study analytical statements OECD, Commission, works foreign domestic scientists, priority sphere justified. many studies topic, term often identified convergence, which, our opinion, not entirely true, since convergence can appear between depressed with weak communication, opposite state Using approaches categories initiated at Organization "Institute Market Economic-Ecological Research National Academy Sciences Ukraine", provides category "cohesion" interconnectedness interaction administrative, territorial goods production process, characterized by properties balance, capacity, striving self-preservation, self-development, self-renewal, coordination management identity stakeholders relation belonging system local, district, levels.Focusing needs resisting, according terms aimed sustainable country formulates following determining (determinants) dimension, include: effective governance distribution powers, strategizing sectoral-spatial deployment productive forces, innovative-oriented industrialization concentration points, budgetary creating jobs added value, stimulating self-employment growth human capital, activation inter-municipal cross-border cooperation process restoring national, levels, accordance cities investment-innovative industrial basis (namely: SDGs 9 11), programs No. 1-10 Recovery Plan tasks integration framework cohesion.Conclusion. As result been determined, include measures investments attraction communities’ projects, improvement budget equalization system, information communication support contribute economy.

Язык: Английский

Процитировано

1
Convergence in transport and ICT infrastructure: Evidence of EU member states DOI Creative Commons
Alma Mačiulytė-Šniukienė, Laura Dargenytė-Kacilevičienė, Kristina Matuzevičiūtė

и другие.

JOURNAL OF INTERNATIONAL STUDIES, Год журнала: 2023, Номер 16(4), С. 77 - 96

Опубликована: Дек. 1, 2023

While countries' social and economic well-being depends on various factors, recent research emphasises the importance of transport ICT infrastructure. To reduce welfare differences among EU countries, European Commission governments have to ensure convergence this infrastructure as well. Previous studies shown that is taking place at national level, however situation regional level still needs be determined. In light this, study examines in member states NUTS 2 regions different periods. The methodology based neoclassical approach convergence, i.e., β-convergence model presented by Barro Sala-i-Martin (1992). This deemed most appropriate for determining whether disparities terms members are diminishing. Research findings present clear evidence absolute development across regions. Strong identified regions, however, it observed only one out three types contrast, robust prominent countries showcasing substantial reductions disparities.

Язык: Английский

Процитировано

1
IMPACTO DEL GASTO DE INVERSIÓN PÚBLICA EN INFRAESTRUCTURA EN EL CRECIMIENTO ECONÓMICO PERUANO: UN ANÁLISIS A NIVEL REGIONAL, 2001-2019 DOI Creative Commons

Alexander Rusbel Camayo Alva,

Edy Jasmani Acero Sanga,

Edgar Arturo Cairo Arellano

и другие.

Transdisciplinary Human Education, Год журнала: 2023, Номер 6(11), С. 1 - 21

Опубликована: Апрель 7, 2023

Una óptima infraestructura gubernamental es fundamental para consolidar una economía emergente. En los últimos 20 años, el Perú ha gozado de un crecimiento económico constante. Sin embargo, no se logrado eliminar las grandes brechas estructurales, que generan desigual. El objetivo del estudio determinar la influencia gasto en inversión pública transporte, telecomunicaciones y energía, sobre regional entre 2001-2019. base a datos Instituto Nacional Estadística e Informática, realiza estimación econométrica panel balanceado identificar relación causalidad efecto temporal variables estudio. Los resultados obtenidos muestran energía obras equipamiento tienen con incremento Producto Bruto Interno, generando efectos positivos cadena. Es importante mejorar herramientas análisis comprensión rol regional. conclusión, A nivel gobierno central requiere promover políticas públicas mayor dinamismo orientado lograr competitividad mediano plazo.

Процитировано

0
Infrastructure and EU Regional Convergence: What Policy Implications Does Non-Linearity Bring? DOI Creative Commons
Alma Mačiulytė-Šniukienė, Mindaugas Butkus, Renata Macaitienė

и другие.

Mathematics, Год журнала: 2022, Номер 11(1), С. 1 - 1

Опубликована: Дек. 20, 2022

One of the priority areas EU is infrastructure development. Over 2021–2027, it planned to allocate more than 116 billion EUR support from structural funds transport and ICT infrastructure. For investments promote growth lagging regions reduce regional disparities, must be efficiently allocated. Considering limitations previous studies, this study aims provide recommendations for policymakers regarding investment allocation after assessing non-linear relationships between development convergence MS NUTS2 regions. The general specification estimations based on neoclassical conditional beta-convergence model. Additionally, a with interactions developed estimate effect convergence. We used Generalized Methods Movement estimator robustness check possible endogeneity bias. Estimations indicated that relationship present. have found strong evidence diminishing marginal identified tipping point which slows down convergence, i.e., still present but at slower rate. results made several essential would increase effectiveness in Investments should distributed according smaller units, NUTS 2 level. optimal level ensures each type has established ensure are not too intense generate maximum potential outcomes.

Язык: Английский

Процитировано

0