Hasil untuk "Economic growth, development, planning"

Jiali Wang, Weiqi Zhou, S. Pickett et al.

The rapid and large-scale urbanization leads to drastic land-use conversion and impacts on ecosystem services. The relationship between urbanization and ecosystem services not only depends on the characteristics of the study area, but is closely related to the selected ecosystem services types and the indicators to measure urbanization level. Exploring the relationship in specific study area is necessary to support regional planning for sustainability. In this study, we analyzed the impacts of urbanization on ecosystem services from 2000 to 2010 in the Beijing-Tianjin-Hebei (BTH) urban megaregion in China. We quantified four critical ecosystem services, food production, carbon sequestration and oxygen production, water conservation, and soil retention, and identified the hotspots of ecosystem service provision. We measured the urbanization level from three aspects, namely, population growth, economic development and developed land expansion. The impacts of urbanization on the selected ecosystem services were examined at the hotspots scale and urban megaregion scale. We found both ecosystem services and urbanization level in the BTH region increased. There was an obvious spatial heterogeneity in the hotspots of ecosystem services, showing hotspots of food production aggregately distributed in the southern plain while hotspots of regulating services mainly located in the north mountainous areas with dense forest. The relationship between population growth, economic development and food production were represented by an inverse U-shaped curve, while it displayed a decreasing trend with regulating services. Both food production and regulating services decreased dramatically with urban land expansion. Additionally, the relationships between urbanization and ecosystem services were consistent across scales. Effective measures should be implemented for the hotspots of different types of ecosystem services to mitigate the loss of ecosystem services during rapid urbanization. The results can provide insights for enhancing urban sustainability in the BTH region, as well other urban megaregion with similar characteristics throughout the world.

A. Zaimovic, Anes Torlakovic, Almira Arnaut-Berilo et al.

Financial literacy is a critical life skill that is essential for achieving financial security and individual well-being, economic growth and overall sustainable development. Based on the analysis of research on financial literacy, we aim to provide a balance sheet of current research and a starting point for future research with the focus on identifying significant predictors of financial literacy, as well as variables that are affected by financial literacy. The main methods of our research are a systematic literature review, and bibliometric and bibliographical analysis. We establish a chronological path of the financial literacy topic in the scientific research. Based on the analysis of the most cited articles, we develop a comprehensive conceptual framework for mapping financial literacy. We identified a large number of predictors of financial literacy starting with education, gender, age, knowledge, etc. Financial literacy also affects variables such as retirement planning, financial inclusion, return on wealth, risk diversification, etc. We discuss in detail the main trends and topics in financial literacy research by involving financial literacy of the youth, financial literacy from the gender perspective, financial inclusion, retirement planning, digital finance and digital financial literacy. Our research can help policymakers in their pursuit of improving the levels of individual financial literacy by enabling individuals to make better financial decisions, avoid financial stress and achieve their financial goals. It can also help governments in their efforts in achieving sustainable development goals (SDGs).

Pablo J. Mira

"Viajar al Futuro" de Walter Sosa Escudero es un libro divulgativo que explora la ciencia detrás de los pronósticos, equilibrando rigor científico y anécdotas. El autor, experto en estadística y big data, destaca la importancia de entender la estadística en un mundo incierto y cómo su aplicación consciente impacta decisiones personales y políticas públicas. 

Héctor Flores Márquez, Adrián Jiménez Gómez

La corrupción es un fenómeno social que tiene un profundo efecto en la región de América Latina, por esta razón, se plantea encontrar las causas que contribuyen a su desarrollo. Se utiliza la metodología del Promedio de Modelos Bayesiano con Variables Instrumentales (IVBMA, por sus siglas en inglés), para hallar determinantes robustos de la corrupción en 19 países latinoamericanos. Se consideran 23 regresores con observaciones de 2013 al 2020. El IVBMA efectúa 8,388,608 modelos, con el fin de extraer los determinantes más robustos. Se revela que elementos institucionales y económicos son mejores predictores de la corrupción en la región.

Hugo Spring-Ragain

Traditional economic growth theories, grounded in deterministic and often linear frameworks, fail to adequately capture the inherent uncertainty, non-commutativity, and complex interdependencies of modern economies. This paper proposes a novel approach by transposing fundamental concepts of quantum mechanics-such as superposition, operator algebra, and path integrals-into the realm of macroeconomic modeling. Within this quantum framework, core economic variables (capital, labor, and technological progress) are redefined as non-commuting operators acting on Hilbert spaces, and the state of the economy is represented as a dynamic wave function governed by a time-dependent Hamiltonian. The evolution of this economic wave function follows a generalized Schr{ö}dinger equation, developed here through Dyson series and Magnus expansions. We also define a quantum production function as the expected value of a composite operator, capturing the probabilistic nature of economic output. By integrating uncertainty relations analogous to Heisenberg's principle, and modeling economic fluctuations via Langevin dynamics, we extend the model to include dissipation, feedback loops, and non-linear interactions between variables. Finally, a Feynman path integral formalism is constructed to provide an alternative trajectory-based interpretation of economic dynamics. This quantum-inspired framework offers a rigorous and flexible methodology to rethink macroeconomic modeling under radical uncertainty, with potential applications in dynamic policy simulations and innovation-driven growth.

Hang Ni, Yuzhi Wang, Hao Liu

Urban regeneration presents significant challenges within the context of urbanization, requiring adaptive approaches to tackle evolving needs. Leveraging advancements in large language models (LLMs), we propose Cyclical Urban Planning (CUP), a new paradigm that continuously generates, evaluates, and refines urban plans in a closed-loop. Specifically, our multi-agent LLM-based framework consists of three key components: (1) Planning, where LLM agents generate and refine urban plans based on contextual data; (2) Living, where agents simulate the behaviors and interactions of residents, modeling life in the urban environment; and (3) Judging, which involves evaluating plan effectiveness and providing iterative feedback for improvement. The cyclical process enables a dynamic and responsive planning approach. Experiments on the real-world dataset demonstrate the effectiveness of our framework as a continuous and adaptive planning process.

George Ayuune Akeliwira

The study examines the long-term causal relationship between public debt, governance quality, and illicit financial flows in sub-Saharan Africa. Annual time series data were gathered from the World Bank Governance Indicators, International Monetary Fund Economic Outlook, and Global Financial Integrity from 2005 to 2014. The approach adopted in the study is in the tradition of the portfolio choice framework of tax evasion, rooted in the investment theory of capital flight. The study finds that there is a negative and statistically significant long-run relationship between governance quality and illicit financial flows. The results also show a negative and statistically insignificant relationship between public debt and illicit financial flows. The findings suggest that weak institutional oversight, poor regulatory quality, corruption, and political crises are important determinants of illicit financial outflows in the region. It concludes that governments need to improve the transparency of financial transactions, including the beneficial ownership of corporate structures and tax information. The results also indicate the need to strengthen institutions such as customs, anti-corruption, and other law enforcement agencies to detect intentional trade misinvoicing as tax evaders exploit loopholes in tax administration peculiar to developing countries. The study is timely as resources are critically needed to rebuild economies in view of the global COVID-19 outbreak and its deleterious effects on low-income countries. The study is also relevant for policymakers as it presents pointers to the factors that proliferate illicit capital outflows from the region.

K. Bobbins, L. Diep, P. Hofmann et al.

In 2020, 54% of the world had access to safe sanitation, but access further reduces to 21% in sub-Saharan Africa . With only eight years left to meet the Sustainable Development Goals (SDGs), there is an urgent need to accelerate action in the sanitation sector. Previous academic research highlights sanitation as vital for supporting cross-cutting outcomes in health, economics, climate, gender equality, and the environment. However, there is a gap in knowledge outputs for policymakers to highlights how action in sanitation can leverage investment from agencies and ministries to achieve multiple SDGs. Our transdisciplinary team (academics, policymakers, and practitioners) co-developed actionable outputs for diverse audiences to fill this gap, building on an existing global evidence review identifying 130 synergies between sanitation and the SDGs.We identified priority focus areas influencing sanitation policies and financing in Sub-Saharan Africa to collaboratively develop visual aids, policy briefs, and this academic publication to engage cross-sectoral audiences. Our approach offers insights into the value of theoretical knowledge for policy outcomes in the sanitation sector. It is most likely that SDG6 Targets particularly related to sanitation will not be met by 2030 as the sector suffers from under investment. Co-creation between academia and the development sector is critical for consolidating knowledge/research and development practice to influence investment, progress and innovation.

Krystyna Kudak, Kateryna Mashiko, Mykhaylo Pityulych

The article analyses the main trends related to migration issues in Ukraine and the EU caused by the military conflict. An analysis of the theoretical basis of the research was carried out in order to determine the main aspects related to the migratory behaviour of the population in the conditions of military conflicts and crisis situations. Based on the results of a sociological study, an assessment was made of the migration attitudes and expectations of internally displaced persons (IDPs) temporarily residing in the border region of the country under martial law. An attempt was made to assess the impact of migration potential on the development of border regions under the conditions of a military crisis (using the Zakarpattia Oblast as an example). The purpose of this article is to assess the attitudes and expectations of migrants in relation to the military conflict in their country of origin. The study focuses on internally displaced persons (IDPs) living temporarily in the country's border regions, particularly in Zakarpattia Oblast. Methodology. The study is based on a sociological survey of Ukrainian migrants, such as IDPs, in new places of temporary stay in the Transcarpathian region. The survey was conducted in the first half of 2022 using the method of sociological interviews according to a random sample. The structure of the sample is 70.5% – female and 29.5% – male respondents. In addition to the sociological survey, the research is based on statistical data analysis and review of literature studies using qualitative descriptive analysis. The results of the study show significant interdependencies, disparities and trends in migration expectations and attitudes in relation to crisis, which could be the basis for further prognosis and forecasting development in the field of migration theory, such as: gender disparities in migration due to military conflicts; the importance of family ties in migration and resettlement; the predominance of the remote form of work and education, which confirms its effectiveness in crisis situations; the high inclination and desire of IDPs to return home and the low activity of IDPs in migration abroad, which is one of the main differences distinguishing IDPs from other types of migrants.

Raj Korpan

This paper presents VBMO, the Voting-Based Multi-Objective path planning algorithm, that generates optimal single-objective plans, evaluates each of them with respect to the other objectives, and selects one with a voting mechanism. VBMO does not use hand-tuned weights, consider the multiple objectives at every step of search, or use an evolutionary algorithm. Instead, it considers how a plan that is optimal in one objective may perform well with respect to others. VBMO incorporates three voting mechanisms: range, Borda, and combined approval. Extensive evaluation in diverse and complex environments demonstrates the algorithm's ability to efficiently produce plans that satisfy multiple objectives.

Michael E. Glinsky, Sharon Sievert

This paper fundamentally reformulates economic and financial theory to include electronic currencies. The valuation of the electronic currencies will be based on macroeconomic theory and the fundamental equation of monetary policy, not the microeconomic theory of discounted cash flows. The view of electronic currency as a transactional equity associated with tangible assets of a sub-economy will be developed, in contrast to the view of stock as an equity associated mostly with intangible assets of a sub-economy. The view will be developed of the electronic currency management firm as an entity responsible for coordinated monetary (electronic currency supply and value stabilization) and fiscal (investment and operational) policies of a substantial (for liquidity of the electronic currency) sub-economy. The risk model used in the valuations and the decision-making will not be the ubiquitous, yet inappropriate, exponential risk model that leads to discount rates, but will be multi time scale models that capture the true risk. The decision-making will be approached from the perspective of true systems control based on a system response function given by the multi scale risk model and system controllers that utilize the Deep Reinforcement Learning, Generative Pretrained Transformers, and other methods of Generative Artificial Intelligence (genAI). Finally, the sub-economy will be viewed as a nonlinear complex physical system with both stable equilibriums that are associated with short-term exploitation, and unstable equilibriums that need to be stabilized with active nonlinear control based on the multi scale system response functions and genAI.

Firdaus, S. Hardjosoekarto, Rober Lawang

Tourism has contributed significantly to economic growth, and the government is the leading actor in the tourism development process. This article aims to discuss the role of village government in rural tourism development. The research was conducted qualitatively with a case study in Pujonkidul, a tourist village that is growing and developing into a rural tourism destination rapidly in Indonesia. The research data were collected through a series of in-depth interviews with village governments and main actors in the rural tourism development process. Observation and study of document also carried on during the process of collecting data at the village. The result of study show that the local government is able to carry out all government functions in tourism development (coordination, planning, regulation and legislation, entrepreneurship, stimulus and promotion, social tourism role and boarder role of interest protection). This study also found a new function of government in tourism development which is the main finding of this study, namely institutional development. Therefore, the authors argue that the village government can conduct rural tourism development locally and effectively with its functions and authorities. This finding of study can be adopted and developed in the other villages in the process of rural tourism development. The limitation of this study has ignored the discussion of villagers' participation in the rural tourism development process that is the essential form of rural development issues. This limitation is an important topic for future research.

G. Tiwari, C. Phillip

Abstract United Nations (UN) Sustainable Development Goal (SDG) Number 11 aims to promote inclusiveness and sustainable urbanization, such that cities can become productive and accessible places for attracting talent, encouraging innovation, and creating economic growth. SDG Target 11.2 specifically mentions urban transport. Localizing SDG Target 11.2 involves city governments ensuring a public transport (PT) system that has at least two dimensions of accessibility: physical and economic. This translates to ensuring barrier-free physical access to the PT system, as well as affordable fares for using the PT system. This study presents a process for operationalizing the SDG Target 11.2 indicator for small cities in India. The study focuses on addressing physical access to quality public transport system. Presently, the commuters in these cities are dependent on intermediate PT (IPT) systems to meet their mobility needs. Small cities lack a detailed database for planning PT systems. Master plans are generally prepared by planning authorities to guide the future development of cities; however, the master plan documents lack discussion and vision for future mobility, as required by SDG Target 11.2. This study concludes that the current indicator for SDG Target 11.2 requires modification to ensure SDG-compliant PT systems in small cities. An integrated IPT and PT system is required to improve access to high-quality PT systems, in line with SDG Target 11.2.

Nagy Erika, Lux Gábor, Timár Judit

Mohammadali Ahmadi Shapourabadi, Seyedeh Leyla Mottaghi

Purpose: The purpose of this study is to evaluate the actions and results of the rural development policies and their effects on the efficiency and effectiveness of the rural development policy in the Sixth Development Plan and to apply the lessons learned in the Seventh Development Plan. Methodology As to the purpose, the present research was applied and in terms of methodology, it was descriptive. In the general methodological framework of the research, to study the goals, outputs and consequences of sustainable rural development policies, policy monitoring method was used in order to monitor and evaluate the rural development policy in accordance with the Five-Year Sixth Development Plan. The statistical population of the research included the bills and laws of budgets and programs as well as reports on the performance of government and parliament in the field of rural development on the one hand, and critical and evaluation researches on rural development programs, on the other hand. In this regard, directional content analysis based on the above documents was used in the framework of policy monitoring method. Findings: Evaluation of rural development policy's performance in development programs focusing on the Sixth Development Plan shows that despite the success in the outputs, in terms of their consequences, they do not correspond to the predetermined goals. Besides, the evaluation of actions and outputs of rural development policies indicate a serious imbalance between the ratio of employment and production credits to physical, service and infrastructure credits, as well as incompatibility of objectives and elements of rural development policy with bills and laws. In addition, findings of the experiences in the field of critique and evaluation of rural development programs, the lack of a comprehensive approach in designing a model for rural development and finally, the lack of a specialized and efficient agent for supporting rural development policy are all the main sources of failure in reaching the desired objectives and tasks of the rural development policies in the Sixth Development Plan. Originality/Value: In addition to exposing a theoretical gap in the investigated area, this research has also explained the evaluation framework of the rural development policy based on the components of sustainable rural development. From a practical point of view, using the policy analysis method, it has provided the possibility for evaluating the performance of the rural development policy based on the latest implementation measures in the development plans.

Javier Segovia-Aguas, Yolanda E-Martín, Sergio Jiménez

The paper introduces a novel representation for Generalized Planning (GP) problems, and their solutions, as C++ programs. Our C++ representation allows to formally proving the termination of generalized plans, and to specifying their asymptotic complexity w.r.t. the number of world objects. Characterizing the complexity of C++ generalized plans enables the application of a combinatorial search that enumerates the space of possible GP solutions in order of complexity. Experimental results show that our implementation of this approach, which we call BFGP++, outperforms the previous GP as heuristic search approach for the computation of generalized plans represented as compiler-styled programs. Last but not least, the execution of a C++ program on a classical planning instance is a deterministic grounding-free and search-free process, so our C++ representation allows us to automatically validate the computed solutions on large test instances of thousands of objects, where off-the-shelf classical planners get stuck either in the pre-processing or in the search.

Max Spahn, Chadi Salmi, Javier Alonso-Mora

Local motion planning is a heavily researched topic in the field of robotics with many promising algorithms being published every year. However, it is difficult and time-consuming to compare different methods in the field. In this paper, we present localPlannerBench, a new benchmarking suite that allows quick and seamless comparison between local motion planning algorithms. The key focus of the project lies in the extensibility of the environment and the simulation cases. Out-of-the-box, localPlannerBench already supports many simulation cases ranging from a simple 2D point mass to full-fledged 3D 7DoF manipulators, and it is straightforward to add your own custom robot using a URDF file. A post-processor is built-in that can be extended with custom metrics and plots. To integrate your own motion planner, simply create a wrapper that derives from the provided base class. Ultimately we aim to improve the reproducibility of local motion planning algorithms and encourage standardized open-source comparison.

Zhengfeng Zhang, Jing Liu, Xiaokun Gu

Abstract With the rapid development of urbanization, Shanghai is facing a situation in which the scale of construction land is reaching its “ceiling” in terms of city planning. Against the background of the "negative growth of construction land", Shanghai has issued policies in recent years about industrial land reduction beyond the Urban Development Boundary (UDB), in order to get extra urban construction land quota and control the disorderly spread of rural construction land. This article aims to identify the particular characteristics of different types of towns that cause the different responses to these policies and evaluate the impact of these policies on the interests of towns and villages. According to the response of towns, actively responsive towns and passive action towns are divided, which are caused by the towns’ characteristics, including economic strength, the demand for land development, the location and the compensation expectations of the farmers. After the industrial land reduction, the town-level tax revenue, the rent income of the village collective economic organizations and the local employability of the labor force will be reduced. However, industrial land reduction may directly reduce public management costs, reduce pollution sources, and improve the ecological environment. In addition, matching regional development policies are proposed to contribute to the implementation of industrial land reduction. Results of the present study can provide new theoretical reference for rural renewal, improve the existing reduction policies and be popularized in dealing with rural industrial land reduction issues in different regions in China.

Maria A. Shishanina, Anatoly A. Sidorov

The paper discusses the process of social and economic development of municipalities. A conclusion is made that developing an adequate model of social and economic development using conventional approaches presents a considerable challenge. It is proposed to use semantic modeling to represent the social and economic development of municipalities, and cognitive mapping to identify the set of connections that occur among indicators and that have a direct impact on social and economic development.

Xin Tao, Jonas Mårtensson, Håkan Warnquist et al.

New autonomous driving technologies are emerging every day and some of them have been commercially applied in the real world. While benefiting from these technologies, autonomous trucks are facing new challenges in short-term maintenance planning, which directly influences the truck operator's profit. In this paper, we implement a vehicle health management system by addressing the maintenance planning issues of autonomous trucks on a transport mission. We also present a maintenance planning model using a risk-based decision-making method, which identifies the maintenance decision with minimal economic risk of the truck company. Both availability losses and maintenance costs are considered when evaluating the economic risk. We demonstrate the proposed model by numerical experiments illustrating real-world scenarios. In the experiments, compared to three baseline methods, the expected economic risk of the proposed method is reduced by up to $47\%$. We also conduct sensitivity analyses of different model parameters. The analyses show that the economic risk significantly decreases when the estimation accuracy of remaining useful life, the maximal allowed time of delivery delay before order cancellation, or the number of workshops increases. The experiment results contribute to identifying future research and development attentions of autonomous trucks from an economic perspective.