Hasil untuk "Economic growth, development, planning"

I. Soerjomataram, F. Bray

Ammar Al‐Zubairi, Aseer AL‐Akheli, Barakat ELfarra

Muhammad Umair, Nabil M Hidayat, Ezmin Abdullah et al.

To pursue a sustainable electric vehicle ecosystem, it is crucial to study operational principles, technical complications, environmental impacts, and economic repercussions individually and collectively. This review article provides an overview of the all-around analysis of the electric vehicle ecosystem with an integrated approach. The review begins with an in-depth introduction and a research methodology exploring various types of electric vehicles, analyzing their applications beyond transportation and their potential for sustainable integration. The technical aspects of electric vehicles are scrutinized, with a logical analysis of batteries, chargers, motors, and other components. The review also explores the novel coordinated vehicle-to-grid concept, offering valuable insights for its practical implementation. The paper discusses electric vehicle's environmental impact with quantitative analysis, which compares the ecological footprint against traditional vehicles, focusing on solar electric vehicles. Economic aspects of electric vehicle adoption are also examined, with a detailed analysis of regional markets, their spending on the electric vehicle ecosystem, and the total cost of ownership for electric vehicles. Finally, the review presents technical challenges related to high upfront costs, zero-emission vehicles, charging infrastructure, infotainment and connected vehicles, and charging technology. This review might be an indispensable tool for researchers and policymakers, offering a nuanced and comprehensive perspective.

Padli Pawaid Yahya, Taosige Wau, Baiq El Badriati

Objective: This research aims to further examine the influence of investment, corruption, inflation, labor, and trade openness, and it can be seen that these are the determinants of economic growth through several of these variables in the ASEAN region countries for the 2008-2022 period. Methods: Panel data regression is analyzed using three approaches: the Common Effect Model (CEM), the Fixed Effect Model (FEM), and the Random Effect Model (REM). Model selection is determined through the Chow, Hausman, and Lagrange Multiplier tests. Classical assumption tests (normality, multicollinearity, heteroscedasticity, and autocorrelation) and significance tests (F-test, t-test, and R²) are conducted using EViews 10. Findings: Summarize the key results of your analysis. Highlight the main empirical relationships, theoretical outcomes, or trends identified in the study. Focus on the economic significance of these findings, how they contribute to understanding behaviors, mechanisms, or policy effects relevant to the research question. Originality/value: So that statistical results can be found by showing various variants, especially in the variables of corruption and inflation have no effect on economic growth, while the other three variables together, investment, labor and trade openness have a positive and significant effect on economic growth. Practical/Policy implication: Outline the practical implications of your findings for economic policy, regulation, or institutional decision-making. Suggest how policymakers, economists, or public institutions might apply your results. Where applicable, indicate how your research could guide future interventions, policy design, or economic reforms.

Dongqi Liu, Xi Yu, Vera Demberg et al.

Lay summaries for scientific documents typically include explanations to help readers grasp sophisticated concepts or arguments. However, current automatic summarization methods do not explicitly model explanations, which makes it difficult to align the proportion of explanatory content with human-written summaries. In this paper, we present a plan-based approach that leverages discourse frameworks to organize summary generation and guide explanatory sentences by prompting responses to the plan. Specifically, we propose two discourse-driven planning strategies, where the plan is conditioned as part of the input or part of the output prefix, respectively. Empirical experiments on three lay summarization datasets show that our approach outperforms existing state-of-the-art methods in terms of summary quality, and it enhances model robustness, controllability, and mitigates hallucination.

Runhao Liu, Ziming Chen, You Li et al.

Long-horizon agricultural planning requires optimizing crop allocation under complex spatial heterogeneity, temporal agronomic dependencies, and multi-source environmental uncertainty. Existing approaches often treat crop interactions, such as legume-cereal complementarity, which implicitly or rely on static deterministic formulations that fail to guarantee resilience against market and climate volatility. To address these challenges, we propose a Multi-Layer Robust Crop Planning Framework (MLRCPF) that integrates spatial reasoning, temporal dynamics, and robust optimization. Specifically, we formalize crop-to-crop relationships through a structured interaction matrix embedded within the state-transition logic, and employ a distributionally robust optimization layer to mitigate worst-case risks defined by a data-driven ambiguity set. Evaluations on a real-world high-mix farming dataset from North China demonstrate the effectiveness of the proposed approach. The framework autonomously generates sustainable checkerboard rotation patterns that restore soil fertility, significantly increasing the legume planting ratio compared to deterministic baselines. Economically, it successfully resolves the trade-off between optimality and stability. These results highlight the importance of explicitly encoding domain-specific structural priors into optimization models for resilient decision-making in complex agricultural systems.

Akmal Durmanov, Nodira Saidaxmedova, Murodjon Mamatkulov et al.

The main objective of this study was to identify the factors influencing greenhouse development in Uzbekistan. Supported by the literature, the conceptual model of the study hypothesized that economic viability, supportive infrastructure services, enablers, and competition impacts positively affect greenhouse development. Therefore, a questionnaire was administered among 200 individuals working in greenhouses across the Tashkent, Syrdarya, Jizzakh, and Bukhara regions. Quantitative empirical evidence using structural equation modeling revealed that enablers and competition impacts have a significant positive influence on greenhouse development. However, economic viability and supportive infrastructure services did not have a direct impact, although they indirectly contributed to the overall growth and functioning of the greenhouse industry. The study provides theoretical contributions by identifying key factors influencing greenhouse development and offers practical recommendations for policymakers and stakeholders to foster an enabling environment, manage competition effectively, enhance supportive infrastructure, promote international collaboration and investment, encourage research and development, and strengthen market linkages. This research contributes to the understanding of greenhouse development in Uzbekistan and provides insights for evidence-based decision-making and strategic planning in the industry. Doi: 10.28991/ESJ-2023-07-05-014 Full Text: PDF

Bin Li, Song Gao, Yunlei Liang et al.

With the booming economy in China, many researches have pointed out that the improvement of regional transportation infrastructure among other factors had an important effect on economic growth. Utilizing a large-scale dataset which includes 3.5 billion entry and exit records of vehicles along highways generated from toll collection systems, we attempt to establish the relevance of mid-distance land transport patterns to regional economic status through transportation network analyses. We apply standard measurements of complex networks to analyze the highway transportation networks. A set of traffic flow features are computed and correlated to the regional economic development indicator. The multi-linear regression models explain about 89% to 96% of the variation of cities’ GDP across three provinces in China. We then fit gravity models using annual traffic volumes of cars, buses, and freight trucks between pairs of cities for each province separately as well as for the whole dataset. We find the temporal changes of distance-decay effects on spatial interactions between cities in transportation networks, which link to the economic development patterns of each province. We conclude that transportation big data reveal the status of regional economic development and contain valuable information of human mobility, production linkages, and logistics for regional management and planning. Our research offers insights into the investigation of regional economic development status using highway transportation big data.

Anthony D Stephens, David R Walwyn

Previous work has resulted in the development of an energy model able to calculate wind and solar fleet efficiencies. However, for investment planning purposes, it is necessary to calculate from the lowest economically acceptable efficiencies how much wind and solar generation would be economically justified. The paper explains how this objective has been achieved with arrays (investment planning tables) created after carrying out a structured investigation of the behaviour of the electricity system over the whole of its operational range. The tables are then applied to National Grid prediction of the size and composition of the system in the year 2035. A conclusion is reached that wind and solar generation will only be able to supply about 70% of electrical demand, the other 30% being provided by dispatchable sources of generation, which must be sufficiently fast acting to maintain electricity system stability, such as the use of combined cycle gas turbines. This limit on deployment of wind and solar generation restricts their ability to decarbonise the electricity system and is likely to lead in 2035 to a residual of 72 million tonnes per annum of carbon dioxide emissions which wind and solar generations will be unable to address

Önder Nomaler, Bart Verspagen

We build on the interpretation of the Economic Complexity method as Correspondence Analysis (CA), and propose that the Canonical form of CA (CCA), which originated in the ecology literature, can be used to calculate multi-dimensional economic complexity. The traditional (CA) way of calculating economic complexity includes no "external" information such as countries' development characteristics to facilitate interpretation of "complexity". This has led to a wide range of fairly ad hoc interpretations of economic complexity on the basis of ex-post correlation to a long list of other variables. By the ex-ante inclusion of a number of country variables in the construction of the complexity indicators, CCA enables better interpretation, also in the case of multi-dimensional indicators. The analysis is further facilitated by another element of the ecologists' toolbox, the so-called biplots, which are CCA-based graph embeddings that represent a lower-dimensional product-space in which products and countries are positioned together, in mutual correspondence to each other. We show that in this way, CCA provides a richer account of development in many of its aspects, especially economic growth.

Hanzhi Zhang, Q. Liang, Yu Li et al.

The green economic recovery in post-COVID-19 is a controversial issue among scholars. The primary purpose of this paper is to evaluate the impacts of the tourism sustainable development index (as a proxy of ecotourism) on the inclusive green economic growth of ASEAN (The Association of Southeast Asian Nations) member states throughout 2000–2021 through employing the system-GMM (Generalized Method of Moments) dynamic panel data approach. The findings confirmed that the tourism sustainable development index has a positive and linear relationship with the green economic growth index, confirming the existence of the TLEG (The Tourism-led Economic Growth) hypothesis. The coefficient of the official exchange rate is positive and statistically significant, whereas the good governance index positively affects green economic growth in ASEAN economies. The primary practical policies are developing the green financing market, coherent ecotourism action plans, supporting small and medium enterprises (SMEs) in the ecotourism industry, and establishing a regional ecotourism value chain.

J. Lam, Kevin X. Li

Abstract There are increasing concerns on the environmental impact of port operations and development due to pressing global issues such as climate change and energy conservation. From the sustainability perspective, a port should manage and balance three bottom lines, namely economic prosperity, social wellbeing, and environmental quality. A major driver for sustainability is to attract and retain customers who value sustainability. As such, formulating a green port marketing plan fulfilling the economic, social, and environmental objectives will guide a port towards sustainable growth and development. The study aims to investigate the green marketing status of the world's major ports. With reference to green marketing theories, these ports' green marketing status is reflected by their strategies, structures, and functions. Cross case analysis is performed to identify patterns and trends across the various ports for benchmarking and thereby derive green marketing orientation. The cross case analysis also adds value by representing an international perspective from the major ports in key geographical regions. The results show that more than half of the 30 cases are actively engaged in green marketing. However, ports focus more on strategies, and less on structures and functions. It is recommended that ports should connect the three essential aspects in green marketing efforts.

G. Corrado, L. Corrado

Francisco dos Santos, Lino Costa, Leonilde Varela

With the growth of industrialization, researchers have also become increasingly concerned about environmental protection. Environmental issues have been one of the problems and one of the objectives to consider when it comes to production scaling problems, mainly minimizing energy consumption, and minimizing carbon emissions, as well as various other objectives to optimize. Measures that put pressure on organizations to pay more attention to the environment have been created, along with other measures, not only economic but also social. Good production scheduling allows organizations to be more successful in business, as it contributes to a better environment and society. Therefore, the search for processes that allow for more effective and efficient decision-making is becoming a subject of paramount importance to study. Sustainability is currently an urgent challenge for engineering and organizations. One of the ways to contribute to more sustainable manufacturing systems is the development of intelligent technologies and the sharing of manufacturing systems. This paper studies the literature on production scheduling approaches in distributed companies and their potential benefits for the environment and society, in addition to the economic benefits. In this way, the optimization of environmental, social, and economic measures in the planning and scheduling of production in extended company contexts, using approaches based on multiobjective optimization, is a primary focus of this work.

Alireza Nafissi, Seyed Hossein Akhavan Alavi, Ali Maleki

Purpose: Authors intended to identify the main bases of local development and present a framework for better understanding of its theoretical process from the perspective of the activists in the community-based development process in Iran.            Methodology: This qualitative research used the Grounded Theory method. Data were collected from deep interviews with community-based development activists in five successful case studies in Iran and then were analyzed. Findings: The results, validated by respondent validation and triangulation methods, demonstrate that local development with a community-based approach is appreciated by Iranian activists more of a human and social phenomenon than an economic, political, and environmental issue. Results also show that human capital is identified by concepts like accountability, proactiveness, and psychological empowerment rather than the common indicators emphasized by international organizations. Moreover, social capital and participation are evaluated by such concepts as positive relations, collective actions, positive norms, bridging social capital, and by institutionalization and mobilization of national resources. The final theoretical framework of the article shows that both human capital and social capital not only enhance local participation which can improve economic, political, and environmental indicators, but also are themselves promoted through the reinforcing loops and consequently can enable the ongoing running of the development engine. Originality: Despite the considerable literature existing on community-based development, the authors could not reach any published article involving relations among fundamental concepts of community-based development in Iran, nor did they come across a general understanding of its process by the relevant activists. The suggested framework in this paper well supports the understanding of the process.

Kushagra Gupta, David Fridovich-Keil

We present a novel algorithm for game-theoretic trajectory planning, tailored for settings in which agents can only observe one another in specific regions of the state space. Such problems arise naturally in the context of multi-robot navigation, where occlusions due to environment geometry naturally mask agents' view of one another. In this paper, we formalize these settings as dynamic games with a hybrid information structure, which interleaves so-called "open-loop" periods (in which agents cannot observe one another) with "feedback" periods (with full state observability). We present two main contributions. First, we study a canonical variant of these hybrid information games in which agents' dynamics are linear, and objectives are convex and quadratic. Here, we build upon classical solution methods for the open-loop and feedback variants of these games to derive an algorithm for the hybrid information case that matches the cubic runtime of the classical settings. Second, we consider a far broader class of problems in which agents' dynamics are nonlinear, and objectives are nonquadratic; we reduce these problems to sequences of hybrid information linear-quadratic games and empirically demonstrate that iteratively solving these simpler problems with the proposed algorithm yields reliable convergence to approximate Nash equilibria through simulation studies of overtaking and intersection traffic scenarios.

Ana Carolina Tomé Klock, Brenda Salenave Santana, Juho Hamari

Gamification is a technological, economic, cultural, and societal development toward promoting a more game-like reality. As this emergent phenomenon has been gradually consolidated into our daily lives, especially in educational settings, many scholars and practitioners face a major challenge ahead: how to understand and mitigate the unethical impacts of gamification when researching and developing such educational technologies? Thus, this study explores ethical challenges in gamified educational applications and proposes potential solutions to address them based on an umbrella review. After analysing secondary studies, this study details and proposes recommendations on addressing some ethical challenges in gamified education, such as power dynamics and paternalism, lack of voluntarity and confidentiality, cognitive manipulation, and social comparison. Research and development decision-making processes affected by such challenges are also elaborated, and potential actions to mitigate their effects in gamification planning, conducting and communication are further introduced. Thus, this chapter provides an understanding of ethical challenges posed by the literature in gamified education and a set of guidelines for future research and development.

K. Kostetska, N. Khumarova, Yuliia Umanska et al.

Abstract The article considers international trends and directions of inclusive growth which is considered as an inclusive economic growth and is measured by heterogeneous growth indicators, as an index of inclusive development. Considering the above, was analysed the existing state of the country’s growth considering the environmental, economic, social and technological components as prerequisites for inclusive environmental management. Thus, the main focus of this article is on the formation of prerequisites for inclusive nature management in socio-economic and environmental practices and their subsequent methodological support. So segments of population prosperity means not just material consumption, but social vision formation and the institutional support creation for enables everyone to participate in the socio-economic achievements. The main gaps in the institutional support of the inclusive environmental management process are disclosed: in the social sphere: limited access to economically viable means that meet the real needs of the population in terms of health care, social assistance, basic education and awareness; in the ecological and economic sphere there is no effective and efficient management of providing the population with products that comply with the requirements of eco-certification and eco-labelling, which negatively affects the replenishment of the state budget and the promotion of the rational use of natural resources. Therefore, in order to create a favourable climate and institutional support of inclusive environmental management, in this article, will conduct a thorough analysis of the status of its components and assess the compliance of the existing conditions with current international requirements for inclusiveness. Inclusive growth requires environmental inclusion, which can be achieved through the introduction of new metrics and resource value indicators in regional development projects and programs. In doing so, measures should be developed and recommendations made to improve further planning and control.

Maryna Hrysenko, Olena Pryiatelchuk, Liudmila Shvorak

The creative economy is currently demonstrating quite intensive development indicators, and the share of the creative sector in GDP creation is constantly growing. The aim of this article is to reveal the interrelation and interdependence of socio-economic development factors and to clarify the place of the creative sector in ensuring sustainable economic growth. On the basis of 19 variables, the economies of the EU countries were analyzed by means of cluster analysis, which allowed the authors to single out 8 clusters in the constructed dendrogram, united by the nature and trends, as well as the role of the creative sector in these processes. In addition, the degree of correlation and interaction between the influencing factors themselves was described. Using RStudio, the authors built two multiple regression models, where the dependent variables were GDP and the global creativity index, and the factors were the indicators used to calculate the creativity index. Innovations and creativity are one of priorities of the program of socio-economic development of the European Union. There is a universal approach to understanding the importance of creative economy in the EU. However, the practical implementation of the strategy of development and activity of the creative industries by the EU countries is carried out in the following different directions – the foreign economic expansion of the creative industries themselves; the promotion of all national culture at the international level; export-oriented development of the creative sector of the economy; the lack of a separate comprehensive strategy of foreign economic activity for the creative industries, but the implementation of various programs and measures aimed at promoting exports of products of these industries as part of a national development strategy. Overall, the active functioning of the EU creative sector directly or indirectly affects the economy by improving its performance and creating jobs, stimulating innovation, and contributing to social and sustainable development. As a result, it was found that the global creativity index is largely dependent on the share of the creative class. It has also been proved that the creative and cultural industries determine the growth of a country's economy in terms of traditional economic and employment indicators. Investments in the creative economy will increase the qualitative and quantitative indicators of sustainable economic development.

Nina M. Baranova, Daria S. Loginova

In 2015, the UN Member States took 17 Sustainable Development Goals. Innovative development and environmental protection played a significant role in them. The solution to this problem directly depends on the environmental programs adopted at the state level, competent management, development of environmental innovations and their introduction. This article considers how sustainable development programs at the oil and gas enterprises are implemented to preserve the environment on the example of PJSC Gazprom. PJSC Gazprom, following the principles of sustainable development, combines economic growth and environment preservation. In 1995, PJSC Gazprom adopted an ecological program and gradually solves the environmental problems of the corporation, country and the world. Therefore, the study of some indicators of oil and gas enterprises affecting Russian environmental ecology, on the example of Gazprom Corporation, is relevant. The proceedings of Russian and foreign scientists were analyzed; UNDP’s annual and environmental reports for 2018-2022 were studied; leading Russian oil and gas companies for 2009-2021 and their environmental activities were analyzed to conduct the study. The calculations were carried out using Rosstat (2009-2021), World Bank (2009-2021), PJSC Gazprom (2009-2021). The regression analysis and econometric modeling were carried out through MS Excel and Eviews 12. The linear and exponential models of the innovative component in the environmental protection system were built and studied. It was proved the linear model can be used to build short-term forecasts, while the exponential model turned out to be untenable. PJSC Gazprom invested 658,284 billion rubles in environmental protection and rational use of natural resources, 139,1 billion rubles in RD from 2009 to 2021. In 2021, PJSC Gazprom fulfilled all of its innovative and environmental objectives and approved Environmental Program until 2024 with an outlook for 2030. The company’s contribution to the implementation of the UN sustainable development goals and objectives amounted to 89,9 %.