Empirical analysis of smart eating habits
Ayu Washizu, Ita Sayaka
There remains a lack of theoretical understanding regarding the effects of smart systems on people's eating habits. Furthermore, few empirical studies have comprehensively analyzed the impact of smart food systems on users, considering the users' environmental orientation. To address this gap, we conducted an empirical analysis using a uniquely designed questionnaire survey and investigated the influence of smart social background and smart consciousness and behavior on cooking effort indicators among cooks utilizing convenience foods. Our analysis employed a theoretical model based on the household production function. Our empirical findings show that smart social background, consciousness, and behavior, along with increased environmental orientation, amplify convenience food use reducing cooking efforts among cooks. Our theoretical model suggests that cooks with smart and environmentally oriented behaviors tend to have more comprehensive eating habits and value on their cooking efforts, allowing them to choose their level of engagement wisely. However, if cooks aim to reduce their environmental impact without awareness of superior convenience food options, they might exert more effort. Smarter eating habits consistently improve cooks' well-being, particularly when combined with an environmental orientation towards convenience foods. Providing environmentally oriented cooks with guidance on the appropriate use of convenience foods emerges as a critical policy consideration. Furthermore, currently available convenience foods do not alleviate the burden on cooks when making menu decisions. Thus, it is essential to develop policies addressing these challenges. This study confirmed that smarter eating habits and an environmental orientation experience consistently improve the well-being of cooks.
Environmental effects of industries and plants, Economic growth, development, planning
Is Jobless Growth Valid in Turkiye? A Sectoral Analysis of the Relationship between Unemployment and Economic Growth
Emre Akusta
This study analyzes the validity of jobless growth in Turkiye on sectoral basis. It analyzes the impacts of agriculture, industry, construction and services sectors on unemployment using annual data for the period 2000-2022. ARDL method is applied within the scope of the analysis. The findings are tested with FMOLS and CCR methods. The results show that growth in all sectors reduces the unemployment. A one-unit increase in the share of agriculture sector in GDP decreases the unemployment rate by 0.471 points, 0.680 points in the industrial sector, 0.899 points in the construction sector and 1.383 points in the services sector in the short-run. The long-run coefficients reveal that the impacts of sectoral growth on unemployment are stronger in the long-run than in the short-run. A one unit increase in the share of the agricultural sector in GDP decreases the unemployment rate by 2.380 points, 4.057 points in the industrial sector, 1.761 points in the construction sector and 3.664 points in the services sector in the long-run. These findings show that jobless growth is not valid in Turkiye in general. On the contrary, economic growth plays an important role in reducing unemployment.
Measuring Geopolitical Alignment and Economic Growth
Tianyu Fan
This paper introduces a new event-based measure of bilateral geopolitical alignment and provides evidence that it shapes economic growth. The measure is built from 373,020 geopolitical events across 193 countries over 1960--2024, compiled using large language models. With local projections exploiting within-country temporal variation, we find that a one-standard-deviation permanent improvement in geopolitical alignment increases GDP per capita by approximately 10 percent over 25 years. These effects are associated with improvements in domestic stability, investment, productivity, trade, and human capital. In accounting exercises, geopolitical factors account for GDP variations ranging from -30 to +30 percent across countries and time periods.
Sustainable regional economic development and land use: a case of Russia
Wadim Strielkowski, Oxana Mukhoryanova, Oxana Kuznetsova
et al.
This paper analyzes sustainable regional economic development and land use employing a case study of Russia. The economics of land management in Russia which is shaped by both historical legacies and contemporary policies represents an interesting conundrum. Following the dissolution of the Soviet Union, Russia embarked on a thorny and complex path towards the economic reforms and transformation characterized, among all, by the privatization and decentralization of land ownership. This transition was aimed at improving agricultural productivity and fostering sustainable regional economic development but also led to new challenges such as uneven distribution of land resources, unclear property rights, and underinvestment in rural infrastructure. However, managing all of that effectively poses significant challenges and opportunities. With the help of the comprehensive bibliographic network analysis, this study sheds some light on the current state of sustainable regional economic development and land use management in Russia. Its results and outcomes might be helpful for the researchers and stakeholders alike in devising effective strategies aimed at maximizing resources for sustainable land use, particularly within their respective regional economies.
Impact of R&D and AI Investments on Economic Growth and Credit Rating
Davit Gondauri, Ekaterine Mikautadze
The research and development (R&D) phase is essential for fostering innovation and aligns with long-term strategies in both public and private sectors. This study addresses two primary research questions: (1) assessing the relationship between R&D investments and GDP through regression analysis, and (2) estimating the economic value added (EVA) that Georgia must generate to progress from a BB to a BBB credit rating. Using World Bank data from 2014-2022, this analysis found that increasing R&D, with an emphasis on AI, by 30-35% has a measurable impact on GDP. Regression results reveal a coefficient of 7.02%, indicating a 10% increase in R&D leads to a 0.70% GDP rise, with an 81.1% determination coefficient and a strong 90.1% correlation. Georgia's EVA model was calculated to determine the additional value needed for a BBB rating, comparing indicators from Greece, Hungary, India, and Kazakhstan as benchmarks. Key economic indicators considered were nominal GDP, GDP per capita, real GDP growth, and fiscal indicators (government balance/GDP, debt/GDP). The EVA model projects that to achieve a BBB rating within nine years, Georgia requires $61.7 billion in investments. Utilizing EVA and comprehensive economic indicators will support informed decision-making and enhance the analysis of Georgia's economic trajectory.
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
Vishal Pallagani, Kaushik Roy, Bharath Muppasani
et al.
Automated Planning and Scheduling is among the growing areas in Artificial Intelligence (AI) where mention of LLMs has gained popularity. Based on a comprehensive review of 126 papers, this paper investigates eight categories based on the unique applications of LLMs in addressing various aspects of planning problems: language translation, plan generation, model construction, multi-agent planning, interactive planning, heuristics optimization, tool integration, and brain-inspired planning. For each category, we articulate the issues considered and existing gaps. A critical insight resulting from our review is that the true potential of LLMs unfolds when they are integrated with traditional symbolic planners, pointing towards a promising neuro-symbolic approach. This approach effectively combines the generative aspects of LLMs with the precision of classical planning methods. By synthesizing insights from existing literature, we underline the potential of this integration to address complex planning challenges. Our goal is to encourage the ICAPS community to recognize the complementary strengths of LLMs and symbolic planners, advocating for a direction in automated planning that leverages these synergistic capabilities to develop more advanced and intelligent planning systems.
INSTITUTIONAL CONVERGENCE IN UKRAINE
Yuliya Zaloznova, Oleksandr Serdiuk, Iryna Petrova
The aim of the article is to develop recommendations for improving the level of institutional convergence in Ukraine. To this end, the following tasks have been set and solved: an assessment of the level of institutional convergence in Ukraine has been carried out, which includes an analysis of international indices characterising the quality of formal institutions and a further selection of indicators that are informative about convergent/divergent processes in the country; factors supporting institutional divergence in the country have been identified; recommendations have been developed to offset the importance of factors supporting institutional divergence. Methodology. The methodological and theoretical basis of the study is a systematic approach to the analysis of processes and phenomena, institutional economic theory, scientific works of the classics of economic science, leading modern domestic and foreign scholars on the problems of institutional efficiency. Results. The understanding of the essence of institutional convergence/divergence as a phenomenon characterising the local replacement of formal institutions by informal ones as a consequence of the unacceptable content of formal rules for a certain category of citizens and/or the low risk of being held accountable for their violation has been further developed. The level of institutional convergence in Ukraine is assessed on the basis of the analysis of international indices (Worldwide Governance Indicators, The Rule of Law Index, The International Property Right Index). It is noted that the indicator of the level of institutional convergence in Ukraine is an important factor that should be taken into account in the development and preliminary assessment of the effectiveness of socio-economic projects, since the usefulness of such actions for society and, consequently, the efficiency of resource spending depends on the extent to which the public is ready to accept any public or private initiatives. Recommendations have been developed to increase the level of institutional convergence by reducing the asymmetry of information in the communication system. It is determined that the asymmetry is a consequence of the high cost of information transmission and involvement of subjects in communication channels. It is proposed to digitise the systemic communication channels between the State, business and society, which will make the costs of attracting and transmitting information close to zero. Practical implications. A scientific and methodological approach to increasing the level of institutional convergence is developed. Value/originality. A methodology for assessing the level of institutional convergence in Ukraine is proposed, which involves the selection of informative indicators of convergent/divergent processes in the country from international institutional quality indices and the systematisation of the information obtained. The concept of increasing the level of institutional convergence, which includes the digitalisation of public communication channels, is developed.
Economic growth, development, planning
A Comparative Analysis of (s, Q) and (s, S) Ordering Policies in a Queuing-Inventory System with Stock-Dependent Arrival and queue-dependent service process
Chandrasekara Sugapriya, Murugesan Nithya, Kathirvel Jeganathan
et al.
This article deals with a Markovian queuing-inventory system (MQIS) under the stochastic modeling technique. The arrival stream of this system is dependent on the present stock level at an instant. Meanwhile, the system focuses on reducing the waiting time of a unit by assuming a queue-dependent service policy (QDSP). The system consists of an infinite waiting hall to receive an arriving unit. The MQIS assumes that no unit of arrival is allowed when the stock level of the system is empty. The discussion of this MQIS runs over the two types of ordering principles named 1) (s, Q) 2) (s, S). According to both ordering principles, the assumed arrival and service patterns have been considered separately and classified as Model-I (M-I) and Model-II (M-II) respectively. The steady state of the system for both M-I and M-II is analysed and resolved under the Neuts matrix-geometric technique. The system performance measures of the system are also computed. The expected cost function of both M-I and M-II are constructed as well. Further, the necessary numerical illustrations are provided and distinguished for M-I and M-II to explore the proposed model. This paper finds the optimum ordering policy to execute the stock-dependent arrival and queue-dependent service strategies. (original abstract)
Management. Industrial management, Economic growth, development, planning
FLORESCIMENTO NO TRABALHO? UMA REVISÃO SISTEMÁTICA E AGENDA DE PESQUISA
Michel Barboza Malheiros, Taís de Andrade, Gabrielle Loureiro de Ávila Costa
et al.
O florescimento no trabalho tem se mostrado como um campo promissor para pesquisas, pois está ligado às noções de bem-estar do indivíduo. Florescer remete ao entendimento de que os indivíduos no trabalho desfrutam da vida boa, alcançam o seu pleno desenvolvimento e apresentam maiores percepções de qualidade de vida. Com isso, o objetivo desta pesquisa consiste em analisar o panorama atual da produção científica internacional sobre florescimento no trabalho, propondo uma agenda de pesquisa. A partir de uma combinação entre revisão sistemática da literatura com análise bibliométrica, foram encontrados 42 artigos que versam sobre o florescimento do indivíduo no ambiente de trabalho. As análises se dividiram em indicadores bibliométricos e indicadores de conteúdo, podendo ser constatada uma evolução do campo a partir de 2005 e três clusters de tradições de pesquisa foram encontrados: florescimento e dimensões de bem-estar, bem-estar e engajamento no trabalho. Além disso, lacunas de pesquisas foram identificadas, o que permitiu o delineamento de uma agenda. Implicações teóricas e práticas são discutidas.
Economic growth, development, planning, Social sciences (General)
Human Security, Individualism and Collectivism
Ashok Natarajan
The quest for human security has pitted the individual against the collective throughout history. Individualism and collectivism are two competing philosophical and social movements that have divided the world for centuries and trace their origin back to ancient times. They are founded on different interpretations of the value and place of freedom and equality in society. The individual seeks the protection and support of the collective while at the same time insisting on freedom for personal self-expression and action without hindrance by the collective. The collective seeks the allegiance and conformity of the individual to the laws and dictates of central authority in the name of collective security and wellbeing, which is often perceived by the individual as a threat to personal security rather than assurance of it. Therefore, any ultimate solution to the quest for human security must necessarily address and reconcile these apparently contradictory viewpoints and arrive at a perspective that resolves them into complementary dimensions of a greater whole. This article traces the development of individualism in the West and positive and negative characteristics associated with its more extreme manifestations in order to understand both the strengths that perpetuate it and the weaknesses that continuously erode its stability. It points to the emergence of a reconciling formula based on a shift from individualism to mature individuality and the prevailing struggle within democratic societies in recent times. An evolutionary progression of this character constitutes an essential condition for arriving at a sound, stable, universal foundation for human security for all.
International relations, Economic growth, development, planning
Reducing Onboard Processing Time for Path Planning in Dynamically Evolving Polygonal Maps
Aditya Shirwatkar, Aman Singh, Jana Ravi Kiran
Autonomous agents face the challenge of coordinating multiple tasks (perception, motion planning, controller) which are computationally expensive on a single onboard computer. To utilize the onboard processing capacity optimally, it is imperative to arrive at computationally efficient algorithms for global path planning. In this work, it is attempted to reduce the processing time for global path planning in dynamically evolving polygonal maps. In dynamic environments, maps may not remain valid for long. Hence it is of utmost importance to obtain the shortest path quickly in an ever-changing environment. To address this, an existing rapid path-finding algorithm, the Minimal Construct was used. This algorithm discovers only a necessary portion of the Visibility Graph around obstacles and computes collision tests only for lines that seem heuristically promising. Simulations show that this algorithm finds shortest paths faster than traditional grid-based A* searches in most cases, resulting in smoother and shorter paths even in dynamic environments.
Application of Islamic Spiritual Intelligence as a MSME Strategy in Post-Pandemic
Arief Dwi Saputra, Alfina Rahmatia , Andi Azhar
Islamic spirituality refers to the monotheistic paradigm in creating a harmonious balance between aspects of the world and the hereafter. The purpose of this study is to investigate how Islamic spiritual intelligence is applied as a strategy for entrepreneurship in facing the post-pandemic. The method in this study used a qualitative research strategy with a sample of 128 respondents. The root of the problem is reviewed from the literature review and strengthened by collecting data obtained from the in-depth interview process, then the data is processed using the Nvivo 12 application with coding similarity analysis then the results of the study are used as a reference and conclusions through the data obtained. The findings in this study found that there are seven elements of spiritual intelligence from an Islamic perspective, namely faith, piety, morality, shiddîq (honest), amânah (responsible), tablîgh (conveying), fathânah (intelligent), discipline, visionary, and empathy. In which, a review of the total percentage of 100% has the potential for Islamic entrepreneurship in achieving business sustainability in the ability of business actors to manage their business, through attitudes and decision making that rely on elements of Islamic spirituality intelligence.
Economics as a science, Islamic law
Implementasi Prinsip 6C; Pembiayaan Griya dan Tingkat Pengembalian Angsuran Pada Bank Syariah Mandiri
Umu Luluk Atin Lu’lu’il Maknuun, Moch. Ichiyak Ulumudin
Penelitian ini bertujuan menganalisa pengaruh prinsip 6C (Character, Capacity, Capital, Collateral, Condition, Constraint) dalam proses penilaian kelayakan calon debitur melalui keputusan pemberian pembiayaan griya terhadap tingkat pengembalian angsuran pada Bank Syariah Mandiri Area Surabaya Darmo. Penelitian ini menggunakan metode kuantitatif dengan analisa PLS. Hasil analisis data diperoleh bahwa character (X1) berpengaruh positif tidak signifikan terhadap keputusan pemberian pembiayaan (Z), Capital (X2) berpengaruh signifikan, Capacity (X3) berpengaruh negative tidak signifikan, Collateral (X4) berpengaruh positif tidak signifikan, Condition (X5) berpengaruh positif tidak signifikan dan Constraint (X6) berpengaruh negative tidak signifikan. Keputusan pemberian pembiayaan griya (Z) berpengaruh negative tidak signifikan terhadap tingkat pengembalian angsuran. Character (X1) berpengaruh signifikan terhadap tingkat pengembalian angsuran (Y), Capital (X2) berpengaruh signifikan terhadap (Y), Capacity (X3) berpengaruh negative tidak signifikan, Collateral (X4) berpengaruh signifikan, Condition (X5) berpengaruh negative tidak signifikan, Constraint (X6) berpengaruh positif tidak signifikan terhadap tingkat pengembalian angsuran (Y). Dari hasil analisa dapat disimpulkan bahwa prinsip 6C pada dasarnya kurang tepat digunakan dalam proses pengambilan keputusan pemberian pembiayaan griya sedangkan pada tingkat pengembalian angsuran prinsip 6C cukup mengakomodir.
Journal of Economic Literature codes classification system (JEL)
Jussi T. S. Heikkila
The Journal of Economic Literature codes classification system (JEL) published by the American Economic Association (AEA) is the de facto standard classification system for research literature in economics. The JEL classification system is used to classify articles, dissertations, books, book reviews, and working papers in EconLit, a database maintained by the AEA. Over time, it has evolved and extended to a system with over 850 subclasses. This paper reviews the history and development of the JEL classification system, describes the current version, and provides a selective overview of its uses and applications in research. The JEL codes classification system has been adopted by several publishers, and their instructions are reviewed. There are interesting avenues for future research as the JEL classification system has been surprisingly little used in existing bibliometric and scientometric research as well as in library classification systems.
Technical Report: A Hierarchical Deliberative-Reactive System Architecture for Task and Motion Planning in Partially Known Environments
Vasileios Vasilopoulos, Sebastian Castro, William Vega-Brown
et al.
We describe a task and motion planning architecture for highly dynamic systems that combines a domain-independent sampling-based deliberative planning algorithm with a global reactive planner. We leverage the recent development of a reactive, vector field planner that provides guarantees of reachability to large regions of the environment even in the face of unknown or unforeseen obstacles. The reachability guarantees can be formalized using contracts that allow a deliberative planner to reason purely in terms of those contracts and synthesize a plan by choosing a sequence of reactive behaviors and their target configurations, without evaluating specific motion plans between targets. This reduces both the search depth at which plans will be found, and the number of samples required to ensure a plan exists, while crucially preserving correctness guarantees. The result is reduced computational cost of synthesizing plans, and increased robustness of generated plans to actuator noise, model misspecification, or unknown obstacles. Simulation studies show that our hierarchical planning and execution architecture can solve complex navigation and rearrangement tasks, even when faced with narrow passageways or incomplete world information.
Interdependence of Growth, Structure, Size and Resource Consumption During an Economic Growth Cycle
Carey W. King
All economies require physical resource consumption to grow and maintain their structure. The modern economy is additionally characterized by private debt. The Human and Resources with MONEY (HARMONEY) economic growth model links these features using a stock and flow consistent framework in physical and monetary units. Via an updated version, we explore the interdependence of growth and three major structural metrics of an economy. First, we show that relative decoupling of gross domestic product (GDP) from resource consumption is an expected pattern that occurs because of physical limits to growth, not a response to avoid physical limits. While an increase in resource efficiency of operating capital does increase the level of relative decoupling, so does a change in pricing from one based on full costs to one based only on marginal costs that neglects depreciation and interest payments leading to higher debt ratios. Second, if assuming full labor bargaining power for wages, when a previously-growing economy reaches peak resource extraction and GDP, wages remain high but profits and debt decline to zero. By removing bargaining power, profits can remain positive at the expense of declining wages. Third, the distribution of intermediate transactions within the input-output table of the model follows the same temporal pattern as in the post-World War II U.S. economy. These results indicate that the HARMONEY framework enables realistic investigation of interdependent structural change and trade-offs between economic distribution, size, and resources consumption.
On the definition of the domain growth rate constant on a two dimensional substrate
Kazuhiko Seki
In chemical vapor deposition (CVD) methods, the domain grows by attachment of diffusing surface bound species on the substrate to an island of solid domain. We formulate the process of single domain growth under two-dimensional diffusion by taking into account the movement of the domain boundary. We first discuss two types of definition of the domain area growth rate constant; the one defined through the domain size divided by the time duration of CVD growth and the other defined through the area divided by time. Then, we show that the domain size is proportional to time for the reaction limited growth and the domain area is proportional to time for the diffusion limited growth. We also show that the domain area growth rate changes from the reaction limited growth to the diffusion limited growth as the domain size increases beyond a characteristic size.
en
cond-mat.stat-mech, cond-mat.mtrl-sci
The Relationship between Foreign Direct Investment and Economic Growth: A Case of Turkey
Orhan Gokmen
This paper examines the relationship between net FDI inflows and real GDP for Turkey from 1970 to 2019. Although conventional economic growth theories and most empirical research suggest that there is a bi-directional positive effect between these macro variables, the results indicate that there is a uni-directional significant short-run positive effect of real GDP on net FDI inflows to Turkey by employing the Vector Error Correction Model, Granger Causality, Impulse Response Functions and Variance Decomposition. Also, there is no long-run effect has been found. The findings recommend Turkish authorities optimally benefit from the potential positive effect of net incoming FDI on the real GDP by allocating it for the productive sectoral establishments while effectively maintaining the country's real economic growth to attract further FDI inflows.
Analisis Pendapatan Asli Daerah dan Belanja Pembangunan terhadap Pertumbuhan Ekonomi di Kabupaten/Kota Jawa Timur
M. Yasin
Economic growth is a change in the economic process in a country in a sustainable direction for the better in a certain period. Economic growth can also be interpreted as a process of increasing the production capacity of an economy that is realized in the form of an increase in national income. PAD-Free Variables (X1) Measured using: (1) Taxes, (2) Non-taxation, Development Expenditures (X2) Measured using: (1 ) Development, (2) Growth. Economic Growth Variable (Y) Measured using: (1) Efficiency ratio, (2) Effectiveness Ratio, (3) Independence ratio, (4) Ratio of economic growth activity.This means that if the income of the region will also cause an increase in economic growth achievements. which is very flexible in terms of utilization causes the regions to be more flexible in planning the allocation of expenditure budgets for development activities in accordance with their economic agenda which includes the development of basic facilities and infrastructure that play a role in supporting optimal economic growth. Keywords: PAD, Development Expenditure, Economic Growth
Visionary cities or spaces of uncertainty? Satellite cities and new towns in emerging economies
Yves Van Leynseele, M. Bontje
Satellite cities and new towns have recently captured urban imaginations of planners, property developers and politicians in the Global South and East, and are also emerging as a research topic in urban studies, planning and development studies. With emblematic names like Techno City, Eco City and Hope City they embody a new property investment frontier and an optimistic belief in economic growth driven by a rising middle class. This special issue critically explores the various manifestations anddimensions of satellite city andnew towndevelopment in emerging economies. These cities characterize contemporary processes of urban development. Planned on greenfield sites some distance away from the existent city and the problems associated with rapid urbanization, they provide planners and developers with the opportunity to develop semi-autonomous cities based on visionary urban designs. As status projects they represent a nationalist ideal and new belief in city-planning, often reflecting formsof social engineering andahistorical belief in the ability toplan for entire societies and economies. They intend to connect people, regions and sectors to the global economy, relying on branding strategies in order to attract foreign investors and to compete with other such cities elsewhere. Satellite cities and new towns are developed in settings of rapid economic and political transformation in ways that expose the limits to urban design. Their reliance on global circuits of capital and capital injections by international financial institutions such as the World Bank, marks their vulnerability to global economic conjunctures, in turn compromising their provision of privatized infrastructure and centralized master planning. Ordinary city development and its informal aspects infringe on these cities, acting as constant reminders of their problematic scope and ambition. As social and economic enclaves, they constitute sites of spatial exclusion that privilege certain types of economic activities and middle class demands. The tension between satellite cities and new towns as planned rationalities and sites of speculative urbanism on the one hand and cities as living organisms and sites of creative reworking and social differentiation on the other, marks them as nascent spaces in which a multiplicity of development trajectories and organizational rationalities converge. In recognition of the gap between planning and lived realities of the built environment and testimony to the globalized nature of expert networks, planners and officials employ contemporary discourses of inclusiveness and sustainable urbanism. The translation of contemporary planning, policy and/or management concepts such as sustainable urban planning, risk management, renewable energy, and public participation mark these cities as unique research sites where planning
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en
Political Science