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High‐frequency daily variability (HFDV), as a fundamental aspect of climate variability, has drawn increasing attention due to its crucial impacts on public health, regional ecosystems and economic growth rates. The statistical metrics are of great importance to measure the changes in HFDV. In this study, we compared two common statistical metrics of monthly HFDV, including the standard deviation (SD) and the day‐to‐day difference (DTDx), for various variables (temperature, specific humidity and horizontal wind) using the NCEP/NCAR reanalysis dataset. Here, we show that the SD of daily variables includes mainly sub‐semiannual variability (<180 days), while DTDx can separate the synoptic variability (<12 days, DTD1), submonthly variability (<25 days, DTD3) and subseasonal variability (<60 days, DTD5) from other temporal scales. Moreover, a wider dominant timescale of DTDx causes a higher climatological mean and a closer relationship with SD. We also find that the linear trend in SD exhibits remarkable differences from that of the DTDx nearly all over the world, which can be explained by the significant change in the autocorrelation with different lag days under climate change. Our findings highlight that the DTDx is superior to SD in measuring HFDV, especially in a changing climate. [ABSTRACT FROM AUTHOR]

Values play a significant role in decision-making, especially regarding nature. Decisions impact people and nature in complex ways and understanding which values are prioritised, and which are left out is an important task for improving the equity and effectiveness of decision-making. Based on work done for the IPBES Values Assessment, this paper develops a framework to support analyses of how decision-making influences nature as well as whose values get prioritised. The framework is used to analyse key areas of environmental policy: a) the present model for nature protection in market economies, b) the role of valuation in bringing nature values into decisions, and c) values embedded in environmental policy instruments, exemplified by protected areas for nature conservation and payments for ecosystem services. The analyses show that environmental policies have been established as mere additions to decision-making structures that foster economic expansion, which undermines a wide range of nature's values. Moreover, environmental policies themselves are also focused on a limited set of nature's diverse values. This article is part of the theme issue 'Bringing nature into decision-making'. [ABSTRACT FROM AUTHOR]

An increasing number of scientists have illustrated how economic growth is an underlying driver of the climate crisis. This article examines how associated levels of excess work, production, and consumption repress human flourishing and drive global warming. Drawing from the work of Herbert Marcuse and André Gorz, we discuss the irrationality of a system of excess work, production, and consumption in terms of unnecessary human repression and environmental destruction. In the context of the climate crisis, this system becomes even more irrational as it threatens the habitability of Earth for humans. We examine work-time reduction and related sufficiency measures as a rational response to the climate crisis. [ABSTRACT FROM AUTHOR]

Using a panel data set comprising 284 prefecture‐level and above cities in China during 2005–2018, this study develops a theoretical mechanism harnessing the spatial Durbin model (SDM) to accumulate evidence and explain how innovation affects China's economic growth. It is found that regional economic growth is facilitated by local innovation activities as well as the absorption capacity of innovation and technology spilled over from other regions. This study also identifies 12 regional innovation poles across the country, which are found to have played a significant role in promoting urban economic development within a physical distance range of 150 km of a given region. This finding attests to the radiation effect from regional innovation poles in cultivating more such poles for China, to promote sustainable high‐quality economic growth, suggesting a route for China to avoid the curse of the middle‐income trap. [ABSTRACT FROM AUTHOR]

Agglomeration economies can bring about positive externalities, while excessive agglomeration backfires. However, existing literature on place‐based policies mainly focuses on policies that enhance agglomeration economies. Few studies discuss dispersion policies coping with the negative externality from excessive agglomeration. Owing to the unclear effects of dispersion policies, we conduct empirical research on the noncapital function relief (NCFR) policy, which is implemented to decrease the agglomeration in Beijing, the capital of China, and promote the development of surrounding areas. Exploiting the difference‐in‐difference model, we find that the NCFR policy implementation significantly facilitates the economic growth of the surrounding areas of Beijing. Changes in the distribution of new firm entry and population are two main channels, while no significant effect on the productivity is found. Furthermore, areas that are less‐developed could benefit more from the NCFR policy. Our findings may enlighten other developing countries in urban economic management. [ABSTRACT FROM AUTHOR]

Land reforms have been implemented in many parts of the world because of both justice and the attractive developmental policy objectives of improving poor people's welfare – as the prime beneficiaries. Land reform also facilitates rural economic growth. In some parts of the world, like China and India, there is evidence that land reform has been effective in poverty reduction and in enabling economic growth. However, in other parts of the world, like South Africa, the impact of land reform has been very minimal mainly due to poor policy implementation, which entails inadequate support structures. Using an integrative literature review approach and key policy documents on South Africa's land reform, this article dissects this policy–practice gap in South Africa's land redistribution policy and proposes that land redistribution be implemented by a private independent entity to reduce state bureaucracy and inefficiencies and, in turn, improve execution. [ABSTRACT FROM AUTHOR]

The migration of both unskilled and skilled labour force can alter economic conditions and environmental sustainability of both host and home countries. Consequently, this study endeavors to investigate the impact of skilled labour migration on economic growth, energy demand, and environmental sustainability of both home and host countries. This objective is achieved by constructing a multiregional computable general equilibrium model for developed and developing countries. Moreover, developing countries are classified into four distinct groups based on their income levels such as high income, upper middle income, lower middle‐income and low‐income countries. The outcome of policy simulations indicate that skilled labour migration diminishes the gross domestic product, welfare, energy consumption and carbon emissions in home countries, and the reverse is true for the host countries. The influx of remittances to home counties is shown to bolster their economic growth, energy consumption, and CO2 emissions, whereas a contrary trend in remittance outflow is observed in host countries. Likewise, reverse migration has the potential to augment economic growth in developing countries alongside an increase in energy demand and CO2 emissions. The study advocates for developed countries to harness the skills of immigrants in environment‐friendly manufacturing industries. Furthermore, it emphasizes that developing countries should utilise remittances for both socio‐economic and environmental development to retain the migration of skilled labour forces. [ABSTRACT FROM AUTHOR]

Can the expansion of a prosperous middle class help China to rebalance to consumption-led growth? We address this question through analysis of macro- and micro-level data. Using macro statistics, we examine trends in national aggregate consumption and GDP growth from 2000 through 2019. We observe growth in aggregate consumption but do not find convincing evidence of consumption-led growth. Using micro-level household survey data from 2002, 2007, 2013 and 2018, we estimate the size of China's prosperous middle class and its contribution to aggregate consumption growth. We find that the prosperous middle class expanded rapidly but contributed less to aggregate consumption growth than expected. We discuss features of this class that diminished its contribution to consumption-led growth, including its low propensity to consume out of income and its limited expansion beyond urban subgroups. We conclude that the expansion of the prosperous middle class is necessary but not sufficient to bring about rebalancing. [ABSTRACT FROM AUTHOR]

Purpose: This paper explores whether data back the claim that imports of armaments are inherently bad for economic growth. Regardless of one's point of view, the production and trade of weaponry is a significant industry with serious economic implications that warrant investigation. The financial repercussions of military spending have been extensively studied, but the economic effects of arms importation remain unknown. Design/methodology/approach: This study adopts a pooled mean group approach to investigate the nexus between arms imports, military expenditure and per capita GDP for a balanced panel of twenty-five of the top arms importers in the world from 2000 to 2021. Findings: The authors find that arms imports and military spending negatively impact GDP per capita in the short run, but military spending is beneficial over the long run. The authors also used the Dumitrescu Hurlin Granger causality test, which revealed a unidirectional causation between per capita GDP and military expenditure, and a unidirectional causal relationship from military spending to arms imports. Research limitations/implications: This paper is deficient in a few aspects: first, it looks at only those countries comprising the top 70% of arms imports. Second, it omits many political, technological and legal factors that impact arms imports and military expenditures. Originality/value: This paper looks into the impact of defense spending and arms imports on economic growth for twenty-five nations with the highest share of arms imports in recent times. It is a significant addition to the literature as it resolves the debate of whether or not the military expenditure is wasteful and whether arms imports significantly harm the nation's economic growth. [ABSTRACT FROM AUTHOR]

This study investigates the role of energy imports in domestic production function in the case of 15 energy-importing countries for the period of 1995–2015. Apart from energy imports, renewable energy consumption, non-renewable energy consumption, capital, trade openness, and urbanization are included in the growth model. In doing so, long-run elasticity coefficients are estimated with the Dynamic Seemingly Unrelated Regressions (DSUR) model after determining the cointegration relationship between the variables. In addition, for robustness checks, Panel Correlated Standard Errors (PCSE) and Feasible Generalized Least Squares (FGLS) estimators are applied. Our results show that renewable energy consumption, non-renewable energy consumption, trade openness, and capital have a positive effect on economic growth. Energy imports negatively affect economic growth. The Dumitrescu-Hurlin causality analysis reveals a bidirectional causality relationship between renewable energy consumption, capital, trade openness, urbanization, and economic growth. A unidirectional causality relationship exists from economic growth to non-renewable energy consumption and energy imports. This analysis can be interpreted as having a negative impact on economic growth by putting pressure on the current account deficit due to energy imports. Therefore, investments in the renewable energy sector will play an important role in economic growth. [ABSTRACT FROM AUTHOR]

This study examines the short-run and long-run impacts of foreign aid and remittances on economic growth in a panel of 31 African countries from 1980 to 2019 utilizing the ARDL Pool Mean Group (PMG) estimation technique. The PMG is utilized based on the outcome of the Hausman test which justifies it appropriateness. There is long-run association among the regressors and the regressand in the model. Our results indicate that, in the short-run, remittance and foreign aid respectively have a negative impact on economic growth but that impact is statistically insignificant. In the long-run, however, remittances have a positive and significant impact on economic growth while foreign aid has a positive but insignificant effect on economic growth on the continent. These results have substantial policy implications. African governments should adopt effective policies to maximize the usefulness and effectiveness of foreign capital, such as foreign aid and remittances, in boosting economic growth. [ABSTRACT FROM AUTHOR]

The purpose of this study is to reveal the long- and short-term asymmetric effects of remittance, economic growth and inflation on Turkey's financial development using the 1974–2019 period data. For this purpose, long- and short-term asymmetric effects were investigated with the non-linear autoregressive distributed lag (NARDL) model. NARDL findings revealed that there are long- and short-term asymmetrical relationships among variables. Long-term findings show that increases in remittances and economic growth increased financial development, but increases in inflation reduced financial development. The short-term findings show that increases in remittances, economic growth and inflation increased financial development. In addition to ensuring macroeconomic stability, policy makers in Turkey should formulate regulations that encourage remittance entry in order to attract more remittances to the country and channel them into the financial system. [ABSTRACT FROM AUTHOR]

Multiple conflicts of spatial planning are currently intensifying in the context of sustainability transformations. This paper aims to better understand the conflicts involved in planning inter-municipal commercial areas (IMCA) in city-regional constellations. Choosing an explicit conflict perspective integrating different strands of literature, a qualitative in-depth case study using cognitive-affective mapping (CAM) is carried out. The case study analyzes a region comprising a large urban center and multiple smaller surrounding communities in Southern Germany, where several attempts to cooperate have failed, ostensibly due to poor urban-rural relations. Our findings reveal that the situation is more complex: IMCA is hindered by vertical and horizontal governance conflicts and sectoral conflicts of interest. While land use conflicts on where to implement IMCA are hindering concrete projects, a deeper conflict potential lies in the question of whether to plan new commercial areas at all. Albeit IMCA are proposed as the solution for reducing land take and realizing economic growth, the planning of IMCA reflects this global tension on the regional and local level without being able to solve it per se. We conclude that an explicit conflict perspective as well as the CAM method can be fruitful for planning research and practice. [ABSTRACT FROM AUTHOR]

The purpose of this article is to analyse the state and the dynamics of developmental and other aspects of investments in research and development (R&D) in the group of countries in Southeast Europe. The analysis is performed for several countries in Southeast Europe together and by individual countries. The period from 1996 to 2020 is observed in the analysis. In most countries of Southeast Europe, the allocation for R&D is relatively small. Applied research is the most represented. Significant differences can be noticed regarding the sources of financing and to the implementation of allocations for R&D. A particularly important part of this work is devoted to the analysis of the impact of the gross expenditures on R&D on economic growth. This analysis was performed on the basis of regression analysis. Several regression models were formed in which the dependent variable was gross domestic product per capita It can be concluded that the parameters of the financial condition of the observed economy have the greatest influence on the economic growth of the observed group of countries. Allocations for research and development still do not have a significant enough impact on economic growth in observed countries in Southeast Europe. [ABSTRACT FROM AUTHOR]

This paper investigates the spillover effect of government locations on economic growth by exploring more than 180 relocation events of city governments in China. Empirical results demonstrate that government relocations improve regional economic growth measured by night lights. This positive effect decreases with the distance to city governments' new locations. Government relocations are also found to accelerate urbanization. Potential mechanisms include the changes in land conversion and firm birth patterns in the move-in areas. These results indicate that the relocation of local governments can be an effective place-based policy to improve economic growth and urbanization. [ABSTRACT FROM AUTHOR]

Carbon mitigation and net-zero targets have an important place on the political agenda for all countries. Countries have been seeking to decouple economic growth and carbon emissions to achieve decarbonization. However, there is a cost of the decarbonization of economies, which can be called as Green Sacrifice Ratio (GSR), and this is critical for developing countries because they have been in the growing stage. By considering the critical role of GSR in achieving net-zero emissions by decarbonizing economies, the study comparatively examines how much environmental quality should be sacrificed for per capita economic growth in China and India. In line with this purpose, the study uses the Fourier-Shin cointegration test and various time series estimators with Fourier approximations for the period from 1989/Q1 to 2022/Q4. Estimation results are as follows: (i) all variables follow the non-stationary process, (ii) the long-run relationship exists between variables, and (iii) Estimation results show that GSR is 0.65% for China and 0.78% for India. Therefore, China and India sacrifice a significant amount of environmental quality for a 1% increase in per capita income level. Also, the ecological cost of increasing economic welfare in India is higher with regard to China. Besides, the results are robust according to the alternative method. Thus, the study recommends that both Chinese and Indian policymakers should revise the economic expansion structure with green growth strategies to prevent irreversible environmental degradation due to higher economic growth. [ABSTRACT FROM AUTHOR]

We build an endogenous growth model featuring a new mode of human capital accumulation in a data economy. Data are generated as the byproducts of economic activities and then used by consumers for human capital accumulation apart from education. Although we find similar growth patterns compared with those in the related literature, economic growth is further accelerated by the new use of data factor. Quantitative analyses suggest that although the accumulation of human capital is promoted by the increasing importance of data, this promotion is not unlimited since data may over-absorb resources and crowd out education. In the transition dynamics, we see that consumers suffer temporary welfare loss. However, as data become a key factor in human capital accumulation, welfare ultimately increases. Our paper provides a first view of the effect of the data factor in the process of human capital accumulation. • Digital economy promotes economic growth through human capital accumulation. • A model is built to incorporate data into human capital accumulation. • The promotion effect of data on human capital accumulation is not unlimited. • In transition dynamics, consumers may face temporary welfare loss. [ABSTRACT FROM AUTHOR]

• Investigation on an asymmetric impact of the informal sector on economic growth. • The informal sector asymmetrically affects the economic growth in Bangladesh. • Urbanization and capital growth contribute to increase economic growth in Bangladesh. • Diminishing the prevalence of informality is suggested for higher economic growth in Bangladesh. The role of the informal sector in economic growth still remains an issue of debate. This study contributes to resolving this by taking into account the asymmetric effect of the informal sector on economic growth. The study applies the Non-linear Autoregressive Distributed Lag (N-ARDL) model to capture the asymmetric relationship between the informal sector activity and economic growth for the period 1982–2018 in Bangladesh. The estimation of the N-ARDL model reveals that the informal sector asymmetrically affects the domestic output and economic growth in Bangladesh for both the short-run and the long run. The study has observed an asymmetrically larger effect on output and economic growth from the falling contribution of the informal sector. Urbanization and capital growth also contribute to an increase in economic growth. Therefore, proper incentives and careful policy measures are suggested to effectively diminish the prevalence of informality and promote its transition towards a more formalized framework. [ABSTRACT FROM AUTHOR]

This paper examines how the worship of ancient wisdom affects economic progress in historical China, where the learned class embraced classical wisdom for millennia but encountered the shock of Western industrial influence in the mid-nineteenth century. Using the number of sage temples to measure the strength of classical worship in 269 prefectures, I find that classical worship discouraged intellectuals from appreciating modern learning and thus inhibited industrialization between 1858 and 1927. By contrast, industrialization grew faster in regions less constrained by classicism. This finding implies the importance of cultural entrepreneurship, or the lack thereof, in shaping modern economic growth. "The humor of blaming the present, and admiring the past, is strongly rooted in human nature, and has an influence even on persons endued with the profoundest judgment and most extensive learning." —David Hume (1754, p. 464). [ABSTRACT FROM AUTHOR]

In 2013, China launched her targeted poverty alleviation, and a large amount of fiscal anti-poverty funds have been invested. However, whether the enormous fiscal anti-poverty funds have had a positive impact on the local economy has been ambiguous. This study investigates the impact of fiscal anti-poverty funds on local economic growth, drawing on Chinese fiscal data at the county level. Our results indicate that fiscal anti-poverty funds are not conducive to local economic growth. Further analysis reveals that anti-poverty funds reduce fiscal support for the service industry, manufacturing industry, enterprise development, and technical innovation. This is because impoverished counties are forced to supply extra fiscal anti-poverty funds, which leads to compression of fiscal expenditures in other areas due to local deficient finance. [ABSTRACT FROM AUTHOR]

New generation' free trade agreements now include 'Trade and Sustainable Development' (TSD) chapters designed to improve environmental provisions within overall trading arrangements. The wide-ranging European Union (EU)-Japan agreement of 2018 represents the culmination of a trend towards the greater inclusion of such TSD elements, and, as it covers one-third of global GDP, the significance of this agreement for trading relations cannot be understated. Comparing it with other agreements involving Japan and the EU, I argue that greater attention to sustainable development in trade connections, notwithstanding tangible significant environmental improvements, further embeds an anthropocentric narrative of trade-environment linkages and supports a 'win–win' linkage between enhancing economic growth and ensuring environmental protections. Through an eco-centric critique, I seek to challenge the fundamental anthropocentric assumptions underpinning such inclusions and explore the ways in which the language of environmental protection and climate change has been depoliticised by a particular framing of sustainable development. [ABSTRACT FROM AUTHOR]

Population aging has become a social issue of concern to the whole world, and as the world's most populous country, how to cope with population aging will be a hot issue that all sectors of Chinese society must think about. This paper uses provincial panel data from 30 provinces in China from 2000 to 2021 to study the relationship between population aging and economic development based on the perspective of health expenditure. The DIFF-GMM model, the fixed effect model (FE), and fixed effect instrumental variable model (FE-IV) are used to test this study. The following two conclusions are drawn from the empirical study: (1) population aging has a significant inhibitory effect on economic development, while health expenditures have a significant promotional effect on economic development; and (2) increased health expenditures help to alleviate the negative impact of population aging on economic development. However, the deepening of population aging will likewise inhibit the positive effect of health expenditure on economic growth. Based on the conclusions of the study, it is recommended that the government and society should continue to increase spending in the field of health protection, encourage and guide residents to carry out self-care, and moderately increase personal health expenditure, to promote economic development with healthy bodies and realize the goal of "Healthy China". [ABSTRACT FROM AUTHOR]

The unavoidable option for socially sustainable development is a low-carbon economy. One of the essential steps for China to attain high-quality development is reducing carbon emissions. It is necessary to realize low-carbon development in Sichuan, as it is not only an important economic zone but also an ecological protected area. The concurrent relationship among energy consumption, carbon emissions, and economic growth was examined in this study using the Tapio decoupling indicator, and the factors affecting energy consumption and carbon emissions in Sichuan were broken down using the logarithmic mean Divisia indicator (LMDI). The findings demonstrate a fundamental relative decoupling relationship between Sichuan's energy use and carbon emissions. Analysis of energy consumption and carbon emissions in Sichuan Province from 2005 to 2020 shows distinct patterns. From 2005 to 2012, in 2014, and from 2016 to 2020, the relationship between energy use and carbon emissions was relatively decoupled, with decoupling values ranging between 0 and 1. Absolute decoupling occurred in specific years: 2010, from 2013 to 2018, and in 2020. These periods are characterized by economic growth alongside reductions in carbon emissions. Factors affecting energy consumption and carbon emissions were consistently analyzed, showing similar impacts throughout the study periods. We find that population and economic growth are the main driving forces of these effects. The effects of energy intensity and industrial structure mainly play restraining roles, and the latter has a slightly weaker effect than the former. [ABSTRACT FROM AUTHOR]

The digital economy (DE) has become a major breakthrough in promoting industrial upgrading and an important engine for high-quality economic growth. However, most studies have neglected the important driving effect of regional economic and social (RES) development on DE. In this paper, we discuss the mechanism of RES development promoting the development of DE, and establish a demand-driven regional DE development model to express the general idea. With the help of spatial analysis toolbox in ArcGIS software, the spatial development characteristics of DE in the Yangtze River Delta City Cluster (YRDCC) is explored. We find the imbalance of spatial development is very significant in YRDCC, no matter at the provincial level or city level. Quantitative analysis reveals that less than 1% likelihood that the imbalanced or clustered pattern of DE development in YRDCC could be the result of random chance. Geographically weighted regression (GWR) analysis with publicly available dataset of YRDCC indicates RES development significantly promotes the development of DE. [ABSTRACT FROM AUTHOR]

The transformation and upgrading of China's manufacturing industry is supported by smart and green manufacturing, which have great potential to empower the nation's green development. This study examines the impact of the Made in China 2025 industrial policy on urban green economic growth. This study applies the super-slacks-based measure model to measure cities' green economic growth, using the double machine learning model, which overcomes the limitations of the linear setting of traditional causal inference models and maintains estimation accuracy under high-dimensional control variables, to conduct an empirical analysis based on panel data of 281 Chinese cities from 2006 to 2021. The results reveal that the Made in China 2025 strategy significantly drives urban green economic growth, and this finding holds after a series of robustness tests. A mechanism analysis indicates that the Made in China 2025 strategy promotes green economic growth through green technology progress, optimizing energy consumption structure, upgrading industrial structure, and strengthening environmental supervision. In addition, the policy has a stronger driving effect for cities with high manufacturing concentration, industrial intelligence, and digital finance development. This study provides valuable theoretical insights and policy implications for government planning to promote high-quality development through industrial policy. [ABSTRACT FROM AUTHOR]

For almost a decade, countries have been working to achieve the Sustainable Development Goals (SDGs). Yet progress on the SDGs across countries, as well as across the 17 goals, has proven frustratingly slow. Even countries that have performed relatively well on the SDGs may have done so by causing negative externalities, such as environmental degradation, in other parts of the world. To determine if this is the case empirically, we developed and tested hypotheses concerning how a country's SDG performance is associated with such externalities. We then ran a regression to examine correlations between indices measuring SDG progress, ecological footprints and international spillovers. We found that SDG progress is positively correlated with increased ecological footprints and spillovers. The results indicate that SDG progress remains closely associated with conventional measures of economic growth, and that negative environmental and social impacts of internationally-sourced consumption represent behavioural and structural barriers to meaningful progress on sustainability. [ABSTRACT FROM AUTHOR]

This study investigates the relationship between Foreign Direct Investment (FDI) inflows and economic growth at sectoral levels in Bangladesh, employing a panel study framework. Utilizing sectoral-level panel data spanning six sectors from 2007–08 to 2018–19, the analysis is conducted using Panel Vector Error Correction Model (Panel VECM). Results from panel unit root tests confirm that all variables are integrated of order one I (1), indicating stationarity. The Pedroni panel co-integration test further supports the presence of co-integration among the variables. Notably, the Panel VECM reveals evidence of a unidirectional causal relationship from Real Gross Domestic Product (RGDP) to Real Foreign Direct Investment (RFDI) across all six sectors of Bangladesh. The findings underscore the significance of formulating pragmatic policies and implementing them effectively to attract FDI across sectors, thereby contributing to the overall economic growth of Bangladesh. [ABSTRACT FROM AUTHOR]

In this paper, we study asymptotic model change detection in multivariate linear regression by using the Kolmogorov–Smirnov function of the partial sum process of recursive residuals. We approximate the rejection region and also the power function of the test by establishing a functional central limit theorem for the sequence of the partial sum processes of the recursive residuals of the observations. When the assumed model is true, the limit process is given by the standard multivariate Brownian motion which does not depend on the regression functions. However, when the assumed model is not true (some models change), the limit process is represented by a vector of deterministic trend plus the standard multivariate Brownian motion. The finite sample size rejection region and the power of the test are investigated by means of Monte Carlo simulation. The simulation study shows evidence that the proposed test is consistent in the sense that it attains the power larger than the size of the test when the hypothesis is not true. We also demonstrate the application of the proposed test method to Indonesian economic growth data in which we test the adequacy of three-variate low-order polynomial model. The test result shows that the growth of the Indonesian economy is neither simultaneously constant nor linear. The test has successfully detect the appearance of a change in the model which is mainly caused by the COVID-19 pandemic in 2020. [ABSTRACT FROM AUTHOR]

The current research project investigates the correlation between economic growth, government spending, and public revenue in seventeen Indian states spanning the years 1990 to 2020. An analysis of the relationship between key fiscal policy variables and economic growth was conducted utilising a panel data approach, the Generalised Method of Moments (GMM), and fully modified Ordinary Least Squares (FMOLS & DOLS) estimation. In our investigation, we assessed the impacts of non-tax revenue, development plan expenditure, tax revenue, and development non-plan expenditure on (i) the net state domestic product (NSDP) and (ii) the NSDP per capita. The findings indicate that the selected fiscal variables are significantly related. The results indicate that expeditious expansion of the fiscal sector is obligatory to stimulate economic growth in India and advance the actual development of the economies of these states. [ABSTRACT FROM AUTHOR]

We assess the impact of the EU Regional Policy on regional economic growth by applying a new evaluation strategy, which integrates mediation analysis with a quasi-experimental framework. Using the R&D expenditure as an indicator of innovation capability, we evaluate how much of the total effect of the EU Regional Policy is due to R&D in the poorest EU regions. Consistently with the previous literature, we found a positive impact of the overall policy on economic growth, but, among the convergence regions, those investing a higher proportion of funds in R&D have the same convergence rate as regions investing more in other priorities. These findings confirm that the EU Regional Policy played an important role in the economic recovery of the poorest regions in the aftermath of the Great Recession. However, focusing resources on R&D does not seem to provide additional economic benefits, at least in the short run. [ABSTRACT FROM AUTHOR]

The aim of development in a country or region is to improve the welfare and prosperity of society in a fair and equitable manner, one of which is by increasing sustainable economic growth. Because with high economic growth, it will reduce the unemployment rate, crime rate and changes in economic structure so that it has a positive impact on economic development itself. The main objective of this study is to analyze the effect of domestic investment, foreign investment, population, crime and unemployment on economic growth in Deli Serdang Regency. The data analysis method used is the Autoregressive Distributed Lag (ARDL) approach in the time series data model and the observation time span of this study starts from 2010 to 2021 where data interpolation will be carried out in quarterly. According to the results of the analysis, the variables domestic investment and foreign direct investment have a positive significant effect on economic growth. Meanwhile, the variables of population, crime and unemployment have a negative significant impact on economic growth in the long run. However, in the short run, the variables of direct investment, foreign investment, population and crime have a positive significant impact on economic growth. On the other hand, only the number of unemployed has a negative significant effect on economic growth. Based on the results of this study, it is appropriate for the Government of Deli Serdang Regency to optimize programs that are oriented towards increasing investment both domestic and foreign, suppressing the rate of population growth and the number of unemployed and maintaining regional security in the Deli Serdang Regency area. [ABSTRACT FROM AUTHOR]

This paper aims to add to the debate on the negative externalities of tourism-related megaprojects. It examines the policy adoption and implementation of two contentious airport projects in two tourist-heavy regions, Heraklion (Kastelli), Greece, and Cusco (Chinchero), Peru. In the context of destination competitiveness and commitment to neoliberal economic growth, national and regional governments in both countries became attracted by the idea of regional economic development and further increasing the number of international tourists and tourism investments. Deciding whether building a new airport serves the public interest or not is a complex policy problem with technical uncertainties and conflicting interests, which entails both a technical and political process of expressing and pairing policy actors' goals and means. The aim of the paper is to identify similarities and differences between the tactics adopted and arguments used for and against the two airport development projects by the respective advocacy coalitions. [ABSTRACT FROM AUTHOR]

City deals – place-based agreements between central and local state actors – are an increasingly common intervention for supporting economic performance in urban areas. This paper presents empirical evidence on the effectiveness of city deals by estimating the impact of the UK's City Deals scheme on rates of economic growth, productivity and job creation across England between 2010 and 2019. Because the City Deals were introduced in two waves, we estimate its effects using a differences-in-differences (DiD) with multiple time periods (MTPs) approach. Our DiD estimates indicate that, overall, the City Deals were associated with improvements in local economic performance, but that the first wave of city deals resulted in gains of around 2.5% to 3% that were not observed in the second wave. These results suggest that city deals are most effective when appropriate institutional structures are in place and highlight the value of MTP approaches. [ABSTRACT FROM AUTHOR]

This study examines university-driven partnerships that promote entrepreneurship in underserved communities, drawing from the experiences of NCGrowth, an economic development center at the University of North Carolina at Chapel Hill. We address the following questions: Who are the central stakeholders? How do they interact? What do their challenges and experiences imply for policymaking and practice in nurturing entrepreneurship ecosystems in underserved communities? We employed social-network analyses of NCGrowth's projects spanning 2013–2019, supplemented by document analysis of archival data and in-depth interviews. The study uncovers highly asymmetric connections among stakeholders, with universities and government agencies emerging as dominant entities, leveraging universities' specialized knowledge and community relationships. Nevertheless, challenges surface due to overlapping roles as facilitators, the absence of consistent community carriers of development plans, and a dearth of financial institutions. Our findings advocate for an ecosystem-focused approach to economic development in underserved areas, emphasizing the involvement of additional anchor institutions such as hospitals, major corporations, and philanthropists. Furthermore, policies and practices should integrate the objectives of entrepreneurship, economic growth, and social equity to cultivate inclusive entrepreneurship ecosystems. [ABSTRACT FROM AUTHOR]

In recent years, as China experiences economic expansion and its corporations become more global, it has notably become a central hub for cross-border mergers and acquisitions (M&A) on the world stage. The Chinese government, in tandem, leverages these international M&A operations to drive industrial transformation and progress in technology. This research investigates the role of China's industrial policies in shaping cross-border M&A activities by examining recent instances. Findings indicate that relaxing financial barriers and applying specific industrial tactics bolster companies' abilities to secure funding, consequently energizing cross-border M&A initiatives. Several firms in these international mergers and acquisitions are intricately connected to political strategies, markedly affecting the formulation of industrial policies. This assertion is corroborated through the analysis of relevant statistical evidence. The study methodically collects and scrutinizes data to quantitatively depict the current landscape and influencing elements of cross-border M&A, thus providing concrete evidence for policy and business strategy formulation. [ABSTRACT FROM AUTHOR]

Many regions or countries seek to transition to a low-carbon economy, but there is ambiguity about how carbon emissions change with economic growth. This paper captures characteristics of carbon emissions in China using the Tapio Method. To detect driving factors of carbon emissions in economic growth, we adopt the Log-Mean Divisia Index decomposition method. The results of the paper are as follows: (1) Economic growth in most regions of China has outpaced the growth rate of carbon emissions, showing the characteristics of decoupling. (2) Metropolitan cities have a greater impact on the level of decoupling in neighboring provinces and municipalities. (3) The decoupling of carbon emissions from economic growth is caused by declining energy intensity in China. (4) The energy mix and industrial structure have little impact on the growth rate of carbon emissions. In addition, some policy implications are summarized according to the findings of this paper. [ABSTRACT FROM AUTHOR]

Nowadays, economic growth is influenced by many domestic and foreign global issues, concerning the decrease of industrial output for the rise in economic inequality and the weakening of the overall condition in the countries. The role of economic growth is based on human capital and investment. Therefore, in this paper, the human capital and economic management system (HC‐EMS) has been proposed to enhance the country's quality based on the capital structure investment. HC explores the role of command and its significance in the production and creation aspects of human capital such that an area can grow creatively. HC‐EMS analysed critical monitoring systems for developing human resources and the high‐tech and creative economic sectors and presented suggestions for change. Besides, there is a need to prove the shortcomings and benefits of human resource development systems and statistical approaches for gathering and analysing information. The impact of financial services and financial transactions may vary; therefore, it is critically important for fostering economic growth. The experimental result suggests that the proposed HC‐EMS achieves the highest growth development ratio than other existing methods. [ABSTRACT FROM AUTHOR]

In the present study, the causality between resource rents, openness, and economic growth was investigated using the quantile causality method and quarterly data (2006–2021) in Iran. The advantage of this method is that it makes it possible to investigate the relationships of variables in the conditional distribution tail and all quantiles by using quantile‐based conditional regressions. The results showed a bi‐direction causality between resource rents and growth in the tail of the distribution. Therefore, in the upper median quantiles, the causality is from the resources rent to growth, and in the lower quantiles, the causality is in the opposite direction. The results confirmed, in general, the presence of bi‐direction causality between economic growth and openness in quantiles. In the middle quantile, there is a uni‐direction causality relationship from growth to the trade openness, and in the upper quantile, there is causality from openness to economic growth. In addition, the results showed evidence of a tail dependency between resource rents and trade openness, in some quantiles, the causal relationship is from openness to the resources rent, and in the median quantiles, the causality is from rent to openness. These results show that the rent effect of natural resources can be considered as an opportunity for economic growth by adopting appropriate and flexible policies by governments. We recommend the implementation of more trade liberalization policies to maximize the benefits from trade openness, especially in the countries where the resource curse phenomenon reported. Important policy implications can be learned from the empirical results. [ABSTRACT FROM AUTHOR]

We construct a sustainable development model by examining the short‐run relationship, long‐run relationship and causality between renewable energy consumption and economic growth. We consider a sample of 142 countries for 1991–2019 and employ time series analysis. The study noticed the long‐run and short‐run relationship between economic growth and renewable energy consumption in the case of all Countries Groups and regions such as Europe and Central Asia, Middle East and North Africa, Sub‐Saharan Africa and low‐income economies. Overall, we conclude that renewable energy consumption positively influences economic growth, which can motivate countries to achieve sustainable development goals. A nation cannot only focus on economic development when growing environmental and climatic concerns exist. What is essential is the prioritisation of sustainable development goals. The constructed model will help the countries plan, modify and implement national and international sustainable development policies. The results will also be helpful to intergovernmental organisations for channelling countries' efforts towards sustainable development. [ABSTRACT FROM AUTHOR]

China is currently proposing to build the world's biggest national park system, but the country's existing natural conservation is easily affected by population growth and economic pressures. The Huangshan National Park construction area holds great ecological significance and is one of 49 national parks to be established in China. It locates in the Yangtze River Delta region, where the conflict between people and land is intense. Based on this, this paper quantifies the species richness, ecosystem services, and landscape diversity values, counts the index of human activity intensity, calculates the protection advantage and irreplaceability values of each planning unit, and completes the boundary delineation of the Huangshan National Park construction area through the analysis of marginal benefits. Finally, this study delineates the boundary of Huangshan National Park with a 37% protection ratio, which is primarily located in the central and southern regions of the research area, covering an area of approximately 9498.41 km2. This study develops a scientific boundary delineation solution for the Huangshan National Park construction area, which provides a reference for the spatial management and control of Huangshan National Park and a theoretical foundation for the boundary delineation of Chinese potential national parks in the future. [ABSTRACT FROM AUTHOR]

This study aims to investigate the transportation literature through questions with both the methods used and the econometric findings obtained by several analyses. In this context, CO2, GDP, freight transport (truck transport) and trade openness are considered as variables by performing multivariate regression, Johansen, Phillips-Ouliaris, Engle-Granger co-integration, FMOLS, DOLS, CCR and ARDL tests. According to results of econometric analysis truck transport, trade openness, economic growth caused environmental degradation and there is a stable long-run relationship among variables. All econometric models clearly confirm each other as empirically. The priority area in transportation is the reduction of emissions in road transportation, which has the largest share in greenhouse gas emissions. The steps to be taken at the global level in this field will accelerate the spread of hybrid and electric vehicles all over the world. The market share of electric vehicles is increasing day by day with the widespread use of electric vehicle technologies in recent years and many countries in the world turning to this new technology. With the interest in electric vehicles, it is observed that battery systems compatible with vehicles, engine systems, especially charging station systems have been developed, thus new market areas have emerged. Establishing the necessary infrastructure to achieve this transition is of great importance, and for this purpose, strategy development and planning activities for the development of electric vehicle and charging infrastructure should be aimed to be carried out to reduce carbon emissions. It is seen that there is also a feedback effect between the trade openness and CO2 emissions. Trade openness also affects economic growth by encouraging industrialization. Economic growth will also lead to an increase in energy demand. Similarly, insufficient energy supply will hinder economic growth by affecting exports and imports, and as a result, energy consumption will decrease. In this way, the "Green Deal Action Plan" will be a roadmap that is compatible with the transformation policies taking place in the world economy, especially in the EU, that encourages green investments, contributes to the transformation of global value chains, and thus supports value-added production. Thus, the green deal action plan can achieve the stated objectives. [ABSTRACT FROM AUTHOR]

Fragile ecosystems that are affected by erosion from high pollution environmental loads pose a serious threat to human health and well-being. The evaluation of regional environmental loads has become a major issue for eco-environmental conservation and management. As a key region in central China, Hubei Province relies on ecosystems and the environment, which offer an important foundation for sustainable development and continuous improvements in social productivity. For this study, seven influencing factors were selected, and a correlation degree model was applied to assess Hubei Province's environmental loads during the period from 1995-2019. The results show that the overall environmental loads exhibit a fluctuating decreasing trend in response to economic growth and development actions. Moreover, as eco-environmental pollution problems have been addressed and improved over time, the ecosystem operating status has been gradually optimized. Finally, the paper concludes with a proposal of specific measures designed to mitigate Hubei Province's ecological loading from the perspectives of industrial structure, public awareness and technological innovation. [ABSTRACT FROM AUTHOR]

Among south Asian countries, Bhutan has the second lowest poverty incidence; but, there is a large difference in poverty incidence between urban and rural areas. While urban areas registered a very small poverty incidence, 12.0% of rural population were still below the national poverty line in 2017. Poverty is by and large a rural phenominon in Bhutan. Against this background, this study examines whether Bhutan's rural economic growth was pro-poor from 2007–2017 by using the Bhutan Living Standard Surveys. It also conducts an IV probit analysis to explore the determinants of poverty. Even in rural areas, growth is necessary for the reduction of poverty. Besides relying on trickle-down effects from hydropower projects and tourism, promotion of agriculture-based small scale industries is essential for the acceleration of rural economic growth, where further development of basic industrial and transportation infrastructure and socioeconomic facilities is imperative. The country also needs to promote and strengthen basic education since education is found to have played an important role in reducing poverty. Many rural households are vulnerable to poverty. To prevent vulnerable households from falling into poverty, more effective social safety net programs may be necessary based on regional differences in factors affecting living conditions. [ABSTRACT FROM AUTHOR]

In this essay, I assess Stalin's ideas and concepts about nationalities, their 'manipulability' and their legacies. I do this by briefly reconstructing their theoretical and political roots in both Tsarist and socialist traditions. Special attention will be paid to the discovery of a positive correlation between economic development and the growth of nationalism among 'backward' peasant peoples, which went against the grain of previous socialist beliefs, and to the appearance of a theory according to which socialism would naturally produce a superior national-popular society. After discussing the evolution of these ideas and concepts, their practical applications, and the reaction they generated up to 1953, I will focus on the Soviet post-Stalinist theories and practices, and their results, also by taking into consideration the development in Soviet times and after 1991, of new, hybrid variants of Russian nationalism, as well as of Eurasian trends. [ABSTRACT FROM AUTHOR]

The aim of this paper is to examine the impact of a country's entry into the monetary union on its economic variables growth rate of real GDP as well as on GDP per capita growth for the period from 2010 to 2020. The clustering method and the ANFIS method were used in the data analysis. A total of two cluster analyses were performed. The first cluster includes countries that joined the EU in 2004 and became EZ members by 2010. The second cluster refers to those countries that joined the EU in 2004 but are not yet members of the EZ. For the first individual cluster analysis two models were analysed and for the second individual cluster three models were analysed using the ANFIS method. As expected, the results showed that GDP growth is connected with trade, inflation and gross investments in fixed capital in the observed countries, while GDP per capita is connected with unemployment, interest rates and public debt. With regard to GDP growth, the difference between countries that are in the eurozone and those that are not is not significant, which is in line with other studies. [ABSTRACT FROM AUTHOR]

The current situation of the Romanian economy must be understood beginning from the analysis of the main measures of fiscal-budgetary policy applied over the last years by the public authority. In general, the Romanian fiscal policy (before and after accession) was procyclical. However, we continue by presenting some of its characteristics for the past years when we underwent the last ascending phase of the economic cycle. Actually, Romania's GDP exceeded constantly the potential level, and the demand surplus became predominant, generating inflationary pressures. Maintaining the expansionist level of the fiscal policy, in the conditions of a positive deviation of GDP, as of 2017, and opting-out regarding the structural deficit target contributed to affecting the stability of public finances, on short-and medium-term. Romania entered into an extremely difficult economic context, generated by the pandemic, with an extremely narrow fiscal space which limited a lot the possibilities of combating the effects of the pandemic. In this paper we analyzed a period limited to the year 2020, because we consider this time as marking the end of an economic cycle in a period of peace and economic calm, as another is about to begin based on the new realities. [ABSTRACT FROM AUTHOR]

Background: Recent years have witnessed a growing interest among academics and policymakers in understanding the mechaninsms through which Chinese outward direct investment (OFDI) impact economic growth in Africa. Method: This study utilzes a dataset spanning 41 African countries from 2005 to 2020,employing panel‐corrected standard error (PCSE) and quantile regression. Objective: This study explore the mechanisms through which Chinese OFDI stock contributes to economic growth in Africa,with a particular focus on financial development and transport infrastructure. Results: The results indicate a significant and positive impact of the interaction between Chinese OFDI stock and both financial development and transport infrastructure on economic growth. The subregional analysis reveals varying correlations across regions, while the quantile regression analysis demonstrates a stronger effect on economic growth as we move to higher quantiles. Conclusion: The study underscores the importance of enhancing infrastructure and financial sector development to attract more Chinese OFDI and maximize its positive impact of economic growth in African nations. Hence, we recommend that African countries improve the infrastructure and financial sector of their country to attract more chinese OFDI and also enhance its effectiveness on their economic growth. [ABSTRACT FROM AUTHOR]

An inquiry into the impact of external and domestic borrowings is considered timely for Nigeria, given the growing public debt profile amid deteriorating human capital development. Using data from 1990 to 2021, the study estimates the effects of domestic and external debts on Nigeria's human capital development. The study employed the fully modified ordinary least squares and canonical cointegration regression as the main estimation technique and the robustness check, respectively. The study discovered that domestic and external debt, economic growth and debt servicing exert positive and significant influence on human capital development in Nigeria while environmental pollution has an inverse and significant impact on human capital development in Nigeria. Premised on the outcomes, policy suggestions aimed at enhancing human capital development in Nigeria have been put forward. [ABSTRACT FROM AUTHOR]

With the rapid progress of urbanization in China, the real estate industry, characterized by a long industrial chain, has become a pillar industry for economic development. Therefore, we inspect the nexus between land finance, housing prices, and economic growth. For this purpose, we use the panel data of 277 cities at the prefecture level or above in China from 2011 to 2019, and empirically examine it by using the Panel Vector Auto Regression (PVAR) model. The results show that there is a causal relationship between housing prices and economic growth. Housing prices promote economic growth in the short term and inhibit it in the long term. Both economic growth and housing prices have a significant impact on land finance. The economic growth show a significantly positive impact, while housing prices promote land finance in the short term with a long-term trend from positive to negative. This is the first study that tries to probe the relationship between urban housing prices, land finance, and economic growth by considering 277 prefecture-level and above cities in China. To promote the stable development of the regional economy, local governments need to overcome their dependence on the housing market and land finance and promote the healthy development of the housing market. [ABSTRACT FROM AUTHOR]