Hasil untuk "Economic growth, development, planning"

Yamina Benamra, Laurent Auvray, Jérôme Andrieux et al.

Heteroepitaxial boron carbide (BxC) can be grown on Si face 4H-SiC(0001) using a two-step process involving substrate boridation at 1200$^\circ$C under BCl3 + H2 followed by a chemical vapor deposition (CVD) growth step at 1600$^\circ$C by adding C3H8 precursor. However, in-depth investigation of the early growth stages revealed that complex reactions occur before starting the CVD at high temperature. Indeed, after boridation, the 35 nm BxC buffer layer is covered by an amorphous B-containing layer which evolves and reacts during the temperature ramp up between 1200 to 1600$^\circ$C. Despite the formation of new phases (Si, SiB6), which could be explained by significant solid-state diffusion of Si, C and B elements through the thin BxC layer, the CVD epitaxial re-growth upon reaching 1600$^\circ$C does not seems to be affected by these phases. The resulting single crystalline BxC layers display the epitaxial relationships [1010]BxC(0001)||[1010]4H-SiC(0001). The layers exhibit a B4C composition, e.g. the highest possible C content for the BxC solid solution.

Laura Angresius, Milena Buchs, Alessia Greselin et al.

Providing wellbeing for all while safeguarding planetary boundaries may require governments to pursue post-growth policies. To understand how post-growth policymaking can be fostered, we examine wellbeing economy and Doughnut economics government initiatives across governance scales in Europe, New Zealand, and Canada. To identify political dimensions of barriers and enablers as well as priorities for future action, we apply a framework that distinguishes polity, politics, and policy to analyze the data. We find that the main barriers are polity-related contextual factors while the main enablers are the political agency of key individuals and positive framings of post-growth visions. Despite the focus of the post-growth literature on policies, our results suggest they have limited transformative potential in the current system. The overarching economic growth paradigm severely limits the initiatives' scope of action. Highly motivated individuals and high-level political support are more essential in driving initiatives than pressure from civil society. Practitioners who promote growth-critical perspectives often face tensions: they need to appeal to broad stakeholder groups while avoiding cooptation. Overall, our findings suggest that further structural changes are required to support post-growth initiatives: a greater presence of post-growth approaches in economics education and the media is required for post-growth discourses to become more accepted, and to build understandings of how growth dependencies can be addressed.

Quinten De Wettinck, Karolien De Bruyne, Wouter Bam et al.

Economic complexity has been linked to sustainability outcomes, such as income inequality and greenhouse gas emissions. Yet, it is unclear whether the pursuit of complex and/or related activities naturally aligns with these outcomes, or whether meeting sustainability goals requires policy interventions that pursue unrelated diversification. Here, we exploit multidimensional social and environmental sustainability indicators to quantify the alignment between a country's closest diversification opportunities and sustainability goals. We find that high- and upper-middle-income countries face significantly better environmentally aligned diversification opportunities than poorer economies. This means that, while richer countries enjoy diversification opportunities that align complexity, relatedness and environmental performance, this alignment is weaker for developing economies. These findings underscore the value of evaluating future diversification trajectories through a multidimensional sustainability framework, and emphasise the strategic relevance of unrelated diversification for less developed economies to foster sustainable development.

Tianyuan Qu, Lei Ke, Xiaohang Zhan et al.

Instruction-based image editing enables natural-language control over visual modifications, yet existing models falter under Instruction-Visual Complexity (IV-Complexity), where intricate instructions meet cluttered or ambiguous scenes. We introduce RePlan (Region-aligned Planning), a plan-then-execute framework that couples a vision-language planner with a diffusion editor. The planner decomposes instructions via step-by-step reasoning and explicitly grounds them to target regions; the editor then applies changes using a training-free attention-region injection mechanism, enabling precise, parallel multi-region edits without iterative inpainting. To strengthen planning, we apply GRPO-based reinforcement learning using 1K instruction-only examples, yielding substantial gains in reasoning fidelity and format reliability. We further present IV-Edit, a benchmark focused on fine-grained grounding and knowledge-intensive edits. Across IV-Complex settings, RePlan consistently outperforms strong baselines trained on far larger datasets, improving regional precision and overall fidelity. Our project page: https://replan-iv-edit.github.io

Sarun Kamolthip

This paper examines the effects of daily temperature fluctuations on subnational economic growth in Thailand. Using annual gross provincial product (GPP) per capita data from 1982 to 2022 and high-resolution reanalysis weather data, I estimate fixed-effects panel regressions that isolate plausibly exogenous within-province year-to-year variation in temperature. The results indicate a statistically significant inverted-U relationship between temperature and annual growth in GPP per capita, with adverse effects concentrated in the agricultural sector. Industrial and service outputs appear insensitive to short-term weather variation. Distributed lag models suggest that temperature shocks have persistent effects on growth trajectories, particularly in lower-income provinces with higher average temperatures. I combine these estimates with climate projections under RCP4.5 and RCP8.5 emission scenarios to evaluate province-level economic impacts through 2090. Without adjustments for biases in climate projections or lagged temperature effects, climate change is projected to reduce per capita output for 63-86% of Thai population, with median GDP per capita impacts ranging from -4% to +56% for RCP4.5 and from -52% to -15% for RCP8.5. When correcting for projected warming biases - but omitting lagged dynamics - median losses increase to 57-63% (RCP4.5) and 80-86% (RCP8.5). Accounting for delayed temperature effects further raises the upper-bound estimates to near-total loss. These results highlight the importance of accounting for model uncertainty and temperature dynamics in subnational climate impact assessments. All projections should be interpreted with appropriate caution.

Yuan Zhou, You Zhao

Sustainable urban growth is an important issue in urbanization. Existing studies mainly focus on urban growth from the two-dimensional morphology perspective due to limited data. Therefore, this study aimed to construct a framework for estimating long-term time series of building volume by integrating nighttime light data, land use data, and existing building volume data. Indicators of urban horizontal expansion (UHE), urban vertical expansion (UVE), and comprehensive development intensity (CDI) were constructed to describe the spatiotemporal characteristics of the horizontal growth, vertical growth, and comprehensive intensity of the Beijing–Tianjin–Hebei (BTH) urban agglomeration from 2013 to 2023. The UHE and UVE increased from 0.44 and 0.30 to 0.50 and 0.53, respectively, indicating that BTH has simultaneously experienced horizontal growth and vertical growth and the rate of vertical growth was more significant. The UVE in urban areas and suburbs was higher and continuously increasing; in particular, the UVE in the suburbs changed from 0.35 to 0.60, showing the highest rate of increase. The most significant UHE growth was mainly concentrated in rural areas. The spatial pattern of the CDI was stable, showing a declining trend along the urban–suburb–rural gradient, and CDI growth from 2013 to 2023 was mainly concentrated in urban and surrounding areas. In terms of temporal variation, the CDI growth during 2013–2018 was significant, while it slowed after 2018 because economic development had leveled off. Economic scale, UHE, and UVE were the main positive factors. Due to the slowdown of CDI growth and population growth, economic activity intensity, population density, and improvement in the living environment showed a negative impact on CDI change. The results confirm the validity of estimating the multi-dimensional growth of regions using remote sensing data and provide a basis for differentiated spatial growth planning in urban, suburban, and rural areas.

Jose Angelo Divino, Philipp Ehrl, Osvaldo Candido et al.

This paper estimates own- and cross-price elasticities of cigarette consumption in licit and illicit markets. Using propensity score matching (PSM), we pair comparable licit- and illicit-cigarette consumers to assign hypothetical prices and address the challenge of exclusive consumption of just one type. The analysis focuses on Brazil, a developing country with a significant illicit cigarette market, using individual data from the 2013 and 2019 National Health Surveys (PNS). Illicit market identification relies on declared brands and official minimum prices. Results show that cross-price elasticities indicate a switching demand effect following illicit cigarette price changes in 2013, but not in 2019. However, changes in licit cigarette prices do not significantly influence switching demand in either year or in the combined sample. Across all models, illicit cigarette consumers exhibit lower price sensitivity than their licit counterparts, highlighting distinct behaviors in response to market dynamics.

Hussein Ali Jaafar, Cheng-Hao Kao, Sajad Saeedi

With the recent influx in demand for multi-robot systems throughout industry and academia, there is an increasing need for faster, robust, and generalizable path planning algorithms. Similarly, given the inherent connection between control algorithms and multi-robot path planners, there is in turn an increased demand for fast, efficient, and robust controllers. We propose a scalable joint path planning and control algorithm for multi-robot systems with constrained behaviours based on factor graph optimization. We demonstrate our algorithm on a series of hardware and simulated experiments. Our algorithm is consistently able to recover from disturbances and avoid obstacles while outperforming state-of-the-art methods in optimization time, path deviation, and inter-robot errors. See the code and supplementary video for experiments.

Martina A. Clarke, Sajda Qureshi, Timi Barone et al.

Implementing Information and Communication Technology (ICT) solutions can alleviate pressing problems in society and are a central component of sustainable development. Often, healthcare addresses the symptoms without approaching the socioeconomic limiters that can lead to reduced individual economic freedoms from receiving healthcare. This paper investigates the question: How can technology and training interventions enable clinicians to offer care that addresses the socioeconomic limitations of their patients? This paper observes the implementation of a mobile app designed to offer people who cannot access health resources in Omaha, Nebraska, a city in the Midwestern United States. This study follows the design science and action research approach, with clinicians participating in developing the mobile app. As a result of COVID, patients no longer have access to the free clinic because it was shut down. The app is available to the broader community needing basic resources to stay healthy. Through sets of application revisions and observations of usage, this paper arrives at insights into how such applications can support multi-ethnic and underserved communities. The contribution of this paper is to provide contextually specific and rich descriptions of how to implement sustainable ICT solutions to meet the information needs of patients in underserved communities.

Bartłomiej Seredyński, Rafał Bożek, Jan Suffczyński et al.

Hexagonal boron nitride has already been proven to serve as a decent substrate for high quality epitaxial growth of several 2D materials, such as graphene, MoSe$_{\tiny{\textrm{2}}}$, MoS$_{\tiny{\textrm{2}}}$ or WSe$_{\tiny{\textrm{2}}}$. Here, we present for the first time the molecular beam epitaxy growth of MoTe$_{\tiny{\textrm{2}}}$ on atomically smooth hexagonal boron nitride (hBN) substrate. Occurrence of MoTe$_{\tiny{\textrm{2}}}$ in various crystalline phases such as distorted octahedral 1T' phase with semimetal properties or hexagonal 2H phase with semiconducting properties opens a possibility of realisation of crystal-phase homostructures with tunable properties. Atomic force microscopy studies of MoTe$_{\tiny{\textrm{2}}}$ grown in a single monolayer regime enable us to determine surface morphology as a function of the growth conditions. The diffusion constant of MoTe$_{\tiny{\textrm{2}}}$ grown on hBN can be altered 5 times by annealing after the growth, reaching about 5 $\cdot$ 10$^{-6}$ cm$^{2}$/s. Raman spectroscopy results suggest a coexistence of both 2H and 1T' MoTe$_{\tiny{\textrm{2}}}$ phases in the studied samples.

Reza H. Teshnizi, Dylan A. Shell

Considering an environment containing polygonal obstacles, we address the problem of planning motions for a pair of planar robots connected to one another via a cable of limited length. Much like prior problems with a single robot connected via a cable to a fixed base, straight line-of-sight visibility plays an important role. The present paper shows how the reduced visibility graph provides a natural discretization and captures the essential topological considerations very effectively for the two robot case as well. Unlike the single robot case, however, the bounded cable length introduces considerations around coordination (or equivalently, when viewed from the point of view of a centralized planner, relative timing) that complicates the matter. Indeed, the paper has to introduce a rather more involved formalization than prior single-robot work in order to establish the core theoretical result -- a theorem permitting the problem to be cast as one of finding paths rather than trajectories. Once affirmed, the planning problem reduces to a straightforward graph search with an elegant representation of the connecting cable, demanding only a few extra ancillary checks that ensure sufficiency of cable to guarantee feasibility of the solution. We describe our implementation of A${}^\star$ search, and report experimental results. Lastly, we prescribe an optimal execution for the solutions provided by the algorithm.

Luca Guerrini, Adam Krawiec, Marek Szydlowski

We consider the model of economic growth with time delayed investment function. Assuming the investment is time distributed we can use the linear chain trick technique to transform delay differential equation system to equivalent system of ordinary differential system (ODE). The time delay parameter is a mean time delay of gamma distribution. We reduce the system with distribution delay to both three and four-dimensional ODEs. We study the Hopf bifurcation in these systems with respect to two parameters: the time delay parameter and the rate of growth parameter. We derive the results from the analytical as well as numerical investigations. From the former we obtain the sufficient criteria on the existence and stability of a limit cycle solution through the Hopf bifurcation. In numerical studies with the Dana and Malgrange investment function we found two Hopf bifurcations with respect to the rate growth parameter and detect the existence of stable long-period cycles in the economy. We find that depending on the time delay and adjustment speed parameters the range of admissible values of the rate of growth parameter breaks down into three intervals. First we have stable focus, then the limit cycle and again the stable solution with two Hopf bifurcations. Such behaviour appears for some middle interval of admissible range of values of the rate of growth parameter.

V. Macchiati, G. Brandi, G. Cimini et al.

Systemic liquidity risk, defined by the IMF as "the risk of simultaneous liquidity difficulties at multiple financial institutions", is a key topic in macroprudential policy and financial stress analysis. Specialized models to simulate funding liquidity risk and contagion are available but they require not only banks' bilateral exposures data but also balance sheet data with sufficient granularity, which are hardly available. Alternatively, risk analyses on interbank networks have been done via centrality measures of the underlying graph capturing the most interconnected and hence more prone to risk spreading banks. In this paper, we propose a model which relies on an epidemic model which simulate a contagion on the interbank market using the funding liquidity shortage mechanism as contagion process. The model is enriched with country and bank risk features which take into account the heterogeneity of the interbank market. The proposed model is particularly useful when full set of data necessary to run specialized models is not available. Since the interbank network is not fully available, an economic driven reconstruction method is also proposed to retrieve the interbank network by constraining the standard reconstruction methodology to real financial indicators. We show that the contagion model is able to reproduce systemic liquidity risk across different years and countries. This result suggests that the proposed model can be successfully used as a valid alternative to more complex ones.

Diego Aycinena, Szabolcs Blazsek, Lucas Rentschler et al.

Inter-temporal preferences are important determinants of investment decisions, including investments in human capital. Yet, little is known about these preferences for recipients of conditional cash transfers (CCTs). We simultaneously estimate utility curvature (preference for consumption smoothing), discounting, and present biasedness for such recipients. We also introduce a financially motivated method of measuring willingness to forgo funds to control household finances. We find that female participants in a CCT program in Guatemala have very high degrees of utility curvature and low discount factors, which may lead to low levels of investment by participants in the human capital of the household. We also find that intra-household conflict is not significantly related to consumption smoothing, discounting, or present bias.

Olesia Finahina, Anna Pavlovska, Serhii Mylnichenko

An attempt to offer a methodology for analyzing the business environment as in a global context (of the world) as in regional level (of Ukraine), which would come from an empirical base provided by domestic world analytical organizations of the public and private sectors of the economy was made. Methodology. As part of the methodology of assessment of the level of development of the world business environment, the author conducted a preliminary analysis of twenty-five indices examined their constituents in order to avoid duplication of index components which would lead to a distortion of research results. As part of the regional methodology, an 8-stage algorithm was proposed for assessing the level of development of the business environment of the regions of Ukraine based on 40 selected and reasonable indicators that cover 7 main areas and reflect various aspects of the business environment. Results. Nine proposed indices that are in complex, its component composition, are not overlapping and complementary, so reflect and provide a quantitative description of each of the multiple facets of this phenomenon as the world business environment. An integral estimation of the business environment of Ukraine in a regional context has been carried out; an integral index of the level of development of the business environment of a region has been calculated; both of them can act as the objective quantitative criteria for the formation of regional clusters. Objective characteristics of the business climate of a certain territory (in our case, region or group of regions) are obtained. Practical implications. Following the proposed method, the analysis of the level of development of the business environment of 70 countries in the classification limits introduced by the author in previous studies (European, North American, Latin American, African, Far Eastern, Islamic, Indian, ocean), in order to further clustering and graphical interpretation of the results. The group of leaders is formed by countries that relate to different models of the business environment. The countries of the European model are Germany, Great Britain, Sweden, the Netherlands and Austria. North American model: Canada and the United States of America. Representative of the Far Eastern model is Japan, as well as Australia which belongs to other models. The group of outsiders include countries that have a poor integrated index of business environment development, they are representatives of the African (Angola, Congo, Chad), Islamic (Syria, Somalia, Sudan) and Island (Polynesia) models. The results of analyzing of the business environment of the regions of Ukraine show that in 2017 Lviv, Kyiv region became a cluster of high development. The index of development the business environment, calculated by us, proves the extremely expressed polarization and unevenness of the processes of development of territories. Value/originality. The results obtained with graphical and formulaic interpretation make it possible to understand the сondition, problems, prospects of their overcoming, to outline directions of further development and opportunities to support the business environment in the regional and global context.

Yuncong Li, Hankz Hankui Zhuo

In order to make the task, description of planning domains and problems, more comprehensive for non-experts in planning, the visual representation has been used in planning domain modeling in recent years. However, current knowledge engineering tools with visual modeling, like itSIMPLE (Vaquero et al. 2012) and VIZ (Vodrážka and Chrpa 2010), are less efficient than the traditional method of hand-coding by a PDDL expert using a text editor, and rarely involved in finetuning planning domains depending on the plan validation. Aim at this, we present an integrated development environment KAVI for planning domain modeling inspired by itSIMPLE and VIZ. KAVI using an abstract domain knowledge base to improve the efficiency of planning domain visual modeling. By integrating planners and a plan validator, KAVI proposes a method to fine-tune planning domains based on the plan validation.

David Steinsaltz, Shripad Tuljapurkar

The growth of a population divided among spatial sites, with migration between the sites, is sometimes modelled by a product of random matrices, with each diagonal elements representing the growth rate in a given time period, and off-diagonal elements the migration rate. The randomness of the matrices then represents stochasticity of environmental conditions. We consider the case where the off-diagonal elements are small, representing a situation where migration has been introduced into an otherwise sessile meta-population. We examine the asymptotic behaviour of the long-term growth rate. When there is a single site with the highest growth rate, under the assumption of Gaussian log growth rates at the individual sites (or having Gaussian-like tails) we show that the behavior near zero is like a power of $ε$, and derive upper and lower bounds for the power in terms of the difference in the growth rates and the distance between the sites. In particular, when the difference in mean log growth rate between two sites is sufficiently small, or the variance of the difference between the sites sufficiently large, migration will always be favored by natural selection, in the sense that introducing a small amount of migration will increase the growth rate of the population relative to the zero-migration case.

Minakshi Keeni, Nina Takashino, A.K. Nongkynrih et al.

The present study was undertaken to ascertain whether rural women are empowered in a matrilineal society in India. In a state where traditional institutions function on the basis of local customs and conventions that are not codified and yet religiously followed, it is questionable to whether the women are essentially empowered. In such a scenario, one wonders if owning land is enough to empower a woman. The objective of this study is to check if whether land ownership empowers a woman and if it gives her decision-making power in the household. The study was conducted at one village from each of the two districts in Meghalaya- the East Khasi Hills and the West Khasi Hills. Fifty female respondents from each district were made to answer a structured questionnaire, after which four respondents had to be eliminated, as they were unmarried and eighteen respondents had to be dropped as they were either a widow or separated. Probit regression was then used to analyze the data. The results stated that women who inherited land were more likely to have a savings account and be a part of a socio-economic group. From this it can be concluded, that women who owned land through lineage were empowered, however the fact that they still consider their husbands to be the head of the family, makes us consider that there may be a psychological component to it.

Daniel Goodkind, Lisa Lollock, Yoonjoung Choi et al.

Background: Meeting demand for family planning can facilitate progress towards all major themes of the United Nations Sustainable Development Goals (SDGs): people, planet, prosperity, peace, and partnership. Many policymakers have embraced a benchmark goal that at least 75% of the demand for family planning in all countries be satisfied with modern contraceptive methods by the year 2030. Objective: This study examines the demographic impact (and development implications) of achieving the 75% benchmark in 13 developing countries that are expected to be the furthest from achieving that benchmark. Methods: Estimation of the demographic impact of achieving the 75% benchmark requires three steps in each country: 1) translate contraceptive prevalence assumptions (with and without intervention) into future fertility levels based on biometric models, 2) incorporate each pair of fertility assumptions into separate population projections, and 3) compare the demographic differences between the two population projections. Data are drawn from the United Nations, the US Census Bureau, and Demographic and Health Surveys. Results: The demographic impact of meeting the 75% benchmark is examined via projected differences in fertility rates (average expected births per woman’s reproductive lifetime), total population, growth rates, age structure, and youth dependency. On average, meeting the benchmark would imply a 16 percentage point increase in modern contraceptive prevalence by 2030 and a 20% decline in youth dependency, which portends a potential demographic dividend to spur economic growth. Conclusions: Improvements in meeting the demand for family planning with modern contraceptive methods can bring substantial benefits to developing countries. To our knowledge, this is the first study to show formally how such improvements can alter population size and age structure. Declines in youth dependency portend a demographic dividend, an added bonus to the already well-known benefits of meeting existing demands for family planning.

Muryani, Rosario Bedi Swastika

This study Aimed to analyze the transport linkages and multiplier effects of each subsector of transport when there is a change in the budget of the transport sector in the Indonesian economy. This study uses an analytical tool input - output models of Indonesia in 2010, with 185 sectors. Input - output models is used to analyze the relationship backwards and forwards in the transport sector of the Indonesian economy and the multiplier effect on the Indonesian economy as a whole. Results of the analysis Showed that the transport has a total backward linkage high while total forward linkage of transport is relatively low. This is an indication that transportation plays in attracting and developing the upstream sector, but less instrumental in developing the downstream sector. The results Obtained from the analysis of the output multiplier effect when a decline in the transport sector budget has a high value, while the income multiplier and labor multiplier when a decline in the transport sector budget has a low value. This shows a Decrease in the budget in the transport sector can reduce the production output of the Indonesian economy but less budget reduction effect on income and employment. Keywords: Transportation, input-output, linkage forward, backward linkages, multiplier effects JEL Classification: L98, R15