Patterns Of Economic Development Research Articles

Sectoral Composition of Outward FDI and its Impact on Export Diversification in Saudi Arabia

This research explores the relationship between outward foreign direct investment (FDI) and export diversification in emerging economies, with a focus on the case study of Saudi Arabia. Utilizing a multi-equation model and vector autoregression analysis, the study investigates various factors such as the level and sectoral composition of outward FDI, income levels, institutional factors, and regional trade agreements. The findings suggest that while outward FDI can influence export diversification, its impact varies based on factors such as the sectoral distribution of investments, income levels, and institutional quality. Additionally, cointegration and vector error correction models reveal long-term relationships among key variables, highlighting the complex interplay between economic development, governance, and investment patterns. Impulse response analysis sheds light on the dynamic nature of shocks and their effects on the economy over time, emphasizing the interconnectedness of variables. Variance decomposition analysis further elucidates the significance of shocks in explaining fluctuations in model variables, underscoring the systemic interdependencies at play. Overall, the study provides valuable insights into the mechanisms through which outward FDI influences export diversification and economic development in emerging economies like Saudi Arabia and institutional reforms are essential; strengthening institutions and improving regulatory frameworks can amplify the positive effects of outward FDI on export diversification.

Spatio-temporal evolution and prediction of carbon balance in the Yellow River Basin and zoning for low-carbon economic development.

Studying the carbon effect of land use in watersheds is important for mitigating global warming, promoting coordinated emission reduction in different regions within the watersheds, and realizing high-quality development of the watersheds. Although a number of scholars have carried out relevant studies in the past, they mainly focused on carbon emissions, rarely involved the carbon balance formed by carbon sources and sinks, and lacked relevant studies on the development of low-carbon economy sub-region. Based on this, this study takes the Yellow River Basin as an example, explores the spatial and temporal evolution of carbon emissions from land use in counties in the Yellow River Basin from 1980 to 2020, and predicts the spatial pattern of carbon income and expenditure from land use under natural conditions in 2030 and 2060 using the PLUS model; and then superimposes on the main functional area planning, divides 735 counties in the Yellow River Basin into six low-carbon economic development subregions, and analyzes their economic development The model of their economic development is analyzed. The results show that: (1) the spatial and temporal differentiation of land use carbon balance in the Yellow River Basin has changed greatly over the past 40years, (2) the spatial distribution pattern of land use carbon balance in the natural context in 2030 and 2060 is more similar to that in 1990, (3) the carbon emission reduction potentials and pattern optimization of the different low-carbon economic development subregions differ greatly, and they have different low-carbon economic development patterns. The results of this study provide a theoretical basis for scientifically and rationally formulating economic policies for low-carbon development in the counties of the Yellow River Basin, and also provide an important reference for related studies in other similar basins or regions in the world.

Economic Development Pattern and Trade Imbalance: Comparing the U.S. with East Asia

With the development of trade globalization, East Asian countries have occupied an important position in global trade. The rise of the East Asian economy has led to a long-term trade deficit between the United States and East Asian countries, causing economic imbalance. Focusing on the economic development patterns of the United States and East Asian countries, this paper proposes a research question: How does the difference in economic development between the U.S. and East Asian countries lead to trade imbalance? This article uses comparative advantage and absolute advantage theory, Keynesian political economy, global savings glut hypothesis and the flying-geese model to provide theoretical support for the research, and then uses data from the World Bank and Bureau of Economic Analysis to further demonstrate. The last part of this paper makes an empirical analysis through case analysis and model tests. This study argues that differences in economic development lead to an international division of labor and a savings-investment gap, which in turn lead to trade imbalances.

The degree of economic development pattern of economy

In this article, we explore the concept and measurement of the degree of economic development pattern (DEDP) of economy, which refers to the extent to which the development of an economy can serve as a reference for other economies. Utilizing 76 macroeconomic indicators across 217 economies, the economic development paths in a standardized space of economy is compared to identify variations in DEDP through the regression analysis on the relationship between the similarity of development paths and the growth rate on gross domestic product (GDP) per capita. To measure DEDP of economy from different perspective, two types of metrics are constructed. One is the determination coefficient of regression analysis, which exhibits significant positive correlations with population size of economy, uncovering differences of development paths among economies of varying population sizes. The other type of metrics is based on the consistency on regression coefficients and effectively explains disparities among economies in the growth rate on GDP per capita, economic complexity index and economic fitness. These findings reveal the differences in development paths among different countries from the perspective of referentiality for development patterns, suggesting the potential existence of the paths with more universal meaning to economic development.

Changes in Economic Network Patterns and Influencing Factors in the Urban Agglomeration of Guangdong–Hong Kong–Macao Greater Bay Area: A Comprehensive Study

The aim of this study is to comprehensively evaluate the economic network patterns and their influencing factors of the Guangdong–Hong Kong–Macao Greater Bay Area (GHMGBA) in China, considering population scale, economic development level, and land-resource endowment. By employing a modified gravity model and a social-network method, we quantitatively analyzed urban agglomeration integrity indices, such as network density, edge–core structure, cohesive-subgroup index, and urban individual index (e.g., centrality degree) of this region, encompassing nine cities in Guangdong Province and two special administrative regions. The results revealed significant changes in the economic network patterns within the GHMGBA over time. Furthermore, the quadratic assignment procedure correlation analysis index was used to identify the various factors affecting the strength of the economic interaction. The findings demonstrated an annual increase in the strength of economic interaction between cities and regions within the GHMGBA over the past 20 years, along with the emergence of a polycentric economic development pattern. The results also suggest that the spatial location and level of economic development are key determinants influencing the strength of economic linkages in this area. This study supports the conclusion that deepening exchanges and cooperation among core cities, bolstering economic development in sub-core cities, and facilitating the construction of an integrated regional transportation network will expedite the process of economic integration.

Community forest, environment conservation and rural livelihood

The study analyses the economic benefit to rural people derived from the community forest and the role of community forest in the livelihood of the rural people. For this purpose, Khajure Community Forest of Dang district was selected. This article analyses interactions among economic development, the environment, and natural resource use pattern. Community forestry promotes sustainable management of forests by the local community for their collective benefits and promotes equal rights regardless of caste, ethnicity and gender. Community Forest Users’ Group highly depend on CF for their basic households needs such as fuel wood, grass, fodder and timber. Community participation in managing forest has contributed to forest conservation, scientific utilization of forest products and social inclusion which ultimately fosters community ownership in management and use of natural resources. But there are problems in CF governance and benefit sharing. The main issues of community forest are elite dominance in decision-making, social exclusion, and unequal benefit sharing. Rural people go through the exploitation of forest resource haphazardly for their survival. Exploitation of natural resources, including forest resource, contribute to global environmental problems and climate change. Electric cook stoves could be a good, clean fuel source while also helping to reduce the trade deficit. Scheduled firewood collection has resulted to shortage of fuel wood and has increased dependency on cow dung cake for daily cooking. Socio-economic condition of community members has remained as the obstacle for fuel shifting towards modern and clean energy that produces no smoke and no indoor air pollution, and thus, reducing respiratory diseases. Fuel transition has great positive impact on forest conservation,too.

Can China railway express enhance the economic-trade vitality of cities? A spatial empirical evidence from China

The process of globalization has encountered obstacles, with increasing regional conflicts and unforeseen events, posing greater challenges to global cooperation. Particularly, transportation bottlenecks are hindering international economic and trade activities and exerting significant pressure on economic recovery. In response to the principles of economic development, China introduced the Belt and Road Initiative (BRI) that targets to enhance economic and trade activities in the regions along the route. China Railway Express (CR Express) is an essential vehicle for the BRI, characterized by advantages such as convenience, safety, stability, and promotion of green economy. It serves as a necessary means for China to enhance economic and trade influence. This study conducts quantitative research utilizing a dataset from 287 prefecture-level Chinese cities, with a primary focus on examining the operational effects of the CR Express and deriving the following conclusions. Firstly, combining theoretical insights with practical experience, a comprehensive analytical framework was established, and an economic and trade vitality (ETV) index was constructed. The results showed that the ETV increased in over 43.9% of cities. Secondly, using a multi-temporal asymptotic spatial different-in-differences (SDID) model, we obtained that CR Express exhibited significant spatial spillover effects, making a substantial contribution to urban ETV. Thirdly, spatial heterogeneity detected that the intensity of CR Express policy effects varied across city types due to diverse patterns of economic development and consumption structures. Ultimately, mechanisms for the impact of CR Express on ETV was examined more precisely and an integrated five-sphere mechanism was proposed. The conclusions of this research enrich the vital connection between CR Express and urban ETV, providing managerial insights for both enterprises and governments seeking new development opportunities.

Spatiotemporal pattern evolution and influencing factors of population spatial distribution in Changsha-Zhuzhou-Xiangtan urban agglomeration, China

<p class="MsoNormal" style="text-align: justify;"><span lang="EN-US" style="font-family: 'times new roman', times, serif; font-size: 14pt;">Population, as a fundamental element in urban development, often reflects a city's economic development pattern through its spatial distribution and dynamic changes. Studying population spatial distribution is pivotal for bolstering the economic activity capacity in urban agglomerations and guiding regional economic health. Using the Changsha-Zhuzhou-Xiangtan urban agglomeration as a case study, this paper analyzes its overall spatial structure and the spatiotemporal evolution of population at the district and county levels. This analysis utilizes population density, population redistribution index, and population geographic concentration as key indices. Additionally, a spatial econometric model is constructed to assess the impact of economic, social, and environmental factors on population spatial patterns. Findings reveal several key points: (1) Furong District serves as the primary central area, boasting a population geographic concentration of 25.1% in 2021. Tianxin District, Kaifu District, Yuhua District, Shifeng District, Yuelu District, and Hetang District constitute the secondary central areas, while Yutang District, Tianyuan District, Lusong District, Yuhu District, Wangcheng District, and Changsha County form the tertiary level areas. (2) Population density within the Changsha-Zhuzhou-Xiangtan urban agglomeration gradually decreases from Furong District outward. The first central area and sub-central areas experience increasing population density, highlighting a polarization trend in the population distribution. (3) The overall Moran's index for the spatial distribution of population in the Changsha-Zhuzhou-Xiangtan urban agglomeration is significantly positive, indicating a strong spatial autocorrelation and a deepening spatial agglomeration of population distribution. (4) Per capita disposable income, financial expenditure, and education level positively influence the geographical concentration of population in the urban agglomeration, while GDP per capita, road area per capita, and environmental quality exert a negative impact. Notably, the most influential factors shaping population spatial distribution are GDP per capita, disposable income per capita, and air quality.</span></p>

A Study on the Changes of Green Total Factor Productivity in Chinese Cities under Resource and Environmental Constraints

Confronting the dual challenges of excessive resource consumption and environmental pollution, the traditional extensive economic development pattern significantly impeded the high-quality development of the Chinese economy. Examining variations in green total factor productivity across different types of cities holds substantial practical significance for promoting coordinated regional development and facilitating the green transformation of urban economies. Panel data from 283 cities in China spanning the years 2006 to 2020 were selected for analysis. The window-Malmquist–Luenberger index model, incorporating a mixed distance function, was employed to assess changes in green total factor productivity among the sample cities. The results were then categorized and analyzed based on different city attributes. The findings indicate that (1) the variation in green total factor productivity across China’s four major regions from 2006 to 2020 is generally characterized by an initial decline followed by an increase; (2) the proportion of cities with significantly improved green total factor productivity decreases from the east to the central, western, and northeastern regions; (3) the increase in green total factor productivity is positively correlated with city size, suggesting that larger cities experience higher growth in green total factor productivity; (4) first- and second-tier cities exhibit a relatively high mean value of green total factor productivity growth, while third-, fourth-, and fifth-tier cities demonstrate relatively lower growth.

Analysis of Regional Social–Economic Spatial Pattern and Evolution along the Beijing–Hangzhou Grand Canal

With the proposal of the Beijing–Hangzhou Grand Canal Cultural Belt, the Beijing–Hangzhou Grand Canal has become an indispensable component of China’s economic development pattern. Despite relatively high regional-economic-development levels along the canal, there still exists a common imbalance in regional development which will hinder the high-quality collaborative development of the region, highlighting the importance of measuring this disparity. This study adopts the district and county as spatial scales and selects five dimensions: economic growth, livelihood benefits, green ecology, innovation drive, and food guarantee in order to construct a comprehensive socio-economic index. Entropy weight method, Moran index, and Theil index analyses are used to examine the recent ten-year evolution laws in regional socio-economic spatial patterns along the Beijing–Hangzhou Grand Canal. Results indicate that socio-economic indicators designed for each dimension effectively measure both individual districts’ and counties’ economic situations as well as those of entire regions. In 2021, limited significance was observed regarding the level of regional economic agglomeration along the Grand Canal region, suggesting a tendency towards fragmented development rather than forming a well-coordinated model. Over the decade from 2011 to 2021, there was an increase in social and economic agglomeration. From a city unit perspective, developmental disparities among districts and counties within cities follow three distinct patterns. Cities at different stages of development can learn from each other’s models to enhance integration cooperation and collectively promote high-quality economic advancements in the Grand Canal region.

Does Industrial Symbiosis Improve Carbon Emission Efficiency? Evidence from Chinese National Demonstration Eco-Industrial Parks

Improving carbon emission efficiency (CEE) is a necessary consideration in response to economic downturn and climate change. In this case, industrial symbiosis paves the way for cities to conserve energy, reduce carbon emissions, and upgrade economic development patterns. This paper verifies the influence of industrial symbiosis policies on CEE, represented by National Demonstration Eco-industrial Parks (NDEPs). The difference-in-differences (DID) and spatial DID (SDID) models, as well as panel data of 282 Chinese cities during 2003–2019, were used to complete this argumentation process. The results show that NDEP policy dramatically increases the CEE of pilot cities. Compared with cities without NDEP, pilot cities climb by 3.49% on CEE, mainly due to industrial structure upgrading and green technological innovation. Moreover, eastern, non-resource-based, and multi-NDEP cities experience a noticeable increase in CEE. NDEP increases not only the CEE of pilot cities but also that of their neighboring cities within 450 km through diffusion and demonstration effects. All these findings help promote China’s NDEP construction and offer decision-making guidance for climate governance and low-carbon transition in China and others following a similar pathway.

Study on the Development Trends and Strategies of International Economy and Trade under the New Situation

Abstract In today’s increasingly globalized world, trade between countries has become more interconnected, and international trade has emerged as the primary driver of economic development for all nations. This paper proposes a standard trade model for the new situation using the Dixit-Stiglitz model. Starting from the consumer’s point of view, the two-stage maximum method is adopted. Using the Lagrange function, the demand utility function of consumer preferences is processed, and the model optimization scheme is deduced. The ARMA model is used to predict the volume of merchandise foreign trade, and the prediction range includes autoregressive and moving average processes. The indicators are used to evaluate the smoothness of the series within the sample period. A suitable sample of international trade data is selected. The results of the analysis are as follows: in the logistic autoregressive analysis test, the significance of all factors, except for the language and religion factors, passes the significance test of 0.001, and at the same time, the model goodness-of-fit is greater than 0.1, ranging from 0.115 to 0.175. In the analysis of the spatial evolution pattern of international economic trade and trade dynamic development, the spatial Gini coefficients of the first category of goods in 2000, 2014, and 2019 and the third category in 2000 are 0.4306, 0.4717, 0.4956, and 0.4673, respectively, which are lower than 0.5, showing a more balanced evolution pattern.

Influence of financialization on the business activity of non-financial enterprises in Poland

Motivation: Financialization is connected with the phenomenon of dominance of the financial sphere in relation to the real sphere. Financialization, when applied to non-financial entities, means the increase of importance of financial motives in the decision-making processes of enterprises. Changes result from transformations of the system of economic incentives and development patterns, both in the economy and among economic entities, which are focused on fast earning. Enterprises for that purpose, they use leverage and financial instruments to generate profit, limiting the operational and investment activity.Aim: The aim of this paper is to examine if the processes of financialization have affected the activities of non-financial enterprises operating in Poland based on a multifaceted analysis of the financialization of enterprises: from the point of view of investment activities (assets), sources of external financing (liabilities), income and management. Moreover, an attempt was made to answer the question if these processes apply equally to particular industries and enterprises according to their size.Results: The conducted research showed that non-financial enterprises operating in Poland do not show signs of financialization of their activities. There is a noticeable upward trend in active and passive financial instruments of the balance sheet total. However, it does not translate into an increase in financial income. Research related to factors affecting ROE as a measure of shareholder value assessment, showed that it is determined by operating performance. In addition, the research showed that there were no statistically significant differences in the financialization of operations between large companies and the SME sector. With regard to sectors, the research indicated that there were sectors that differed from the others. In terms of the degree of financialization of assets, liabilities and income, it is sector L — “Real estate activities”.

Does urban shrinkage equate to a decline in development levels? – Urban development measurement and influencing factors analysis

Under the theoretical framework of urban sustainable development, combined with the development planning and industrial policies being implemented in China, this study constructed a multi-dimensional comprehensive urban development model with Chinese characteristics using Northeast China as the verification object. Then, it extensively analyzed the development status and explored driving factors in the background of urban shrinkage. The trend of expansion–shrinkage–expansion was observed in the urban development degree (∆k) of these provinces and cities as the state steered economic and urban development mode reform and industrial transformation. The results verify that urban shrinkage is a dynamic process and that new economic vitality and impetus for economic and industrial restructuring will enhance urban development. Based on exploratory spatial data analysis, the study analyzed global and local correlations of the degree of urban development in Northeast China and analyzed the factors and spatial effects of urban development. In 2011–2019, the integrated development of urban clusters led to an urban agglomeration effect, resulting in an increase in the global spatial correlation among cities in Northeast China. In addition, the results of the local correlation analysis show that a single economic and social development pattern of resource-based cities puts them in a difficult position to allocate industries and run comprehensive urban functions. In Northeast China, Liaoning Province underwent more profound changes and has been the pacesetter for “re-expansion in shrinkage.” Through the case study, suggestions aimed to contribute to the exploration of development model of shrinking cities and achieving high-quality development were proposed.

CHARTING THE GREEN PATH: EMPIRICAL INSIGHTS INTO EU-UKRAINE ENVIRONMENTAL CONVERGENCE

The aim of the study is to conduct an empirical analysis of environmental convergence between the EU and Ukraine. This involves evaluating a set of indicators, identifying clusters of EU and Ukrainian countries to obtain adequate empirical estimates, and directly assessing not only the convergence process but also other patterns of environmental and economic development. Methodology. In addition to the classical models of beta, sigma, gamma and delta convergence, the study of environmental convergence should apply methods that focus on the growth process and the increase in the level of economic development of less developed countries, rather than simply on the reduction of development disparities. Such methods should emphasise the importance of efforts and policies aimed at bringing countries closer together and creating favourable conditions for their growth towards higher levels of development. The authors use the concept of upward convergence (divergence). The empirical analysis of environmental convergence between the EU and Ukraine was conducted for the period 2000-2021, divided into two sub-periods: 2000-2013 and 2014-2021, in order to identify trends in the Russian military invasion in 2014 and its impact on environmental and economic convergence during the war. Results. Studies of different types of convergence between Ukraine and the EU show different results: some indicators indicate convergence, while others show divergence. In fact, the interaction between Ukraine and the EU is a complex process that manifests itself differently depending on the specific indicators. Some aspects of cooperation are already leading to convergence and similarity between the countries, while others are leading to divergence. This demonstrates the need to implement effective strategies and policies of cooperation between Ukraine and the EU to achieve sustainable development. Practical implications. The results obtained can be used to develop environmental policies, commitments, forms of manifestation and main consequences for the ecological and economic system of Ukraine in the context of the Association Agreement and the European Green Deal. The fulfilment of obligations under these initiatives should become the basis for developing effective means of ensuring sustainable development through the implementation of the relevant state environmental and economic policy. Value/originality. The advantage of the proposed approach is that it takes into account negative growth, including environmental pollution. The results of the upward convergence assessment serve as a basis for the development of appropriate strategies, mechanisms, policies, effective governance, investment in human capital and infrastructure, and the creation of favourable conditions for entrepreneurship and innovation.

Quantitative simulation and verification of the tourism economic resilience in urban agglomerations.

The concept of tourism economic resilience emphasizes the sustainable development level of tourism economy under uncertainty and risk. Focusing on urban agglomerations, this study aims to describe how the tourism economic resilience is developing, explore whether the resilience level is enhanced with urban agglomerations and whether spatial elements affect resilience levels. With the combination of the aggregation and diffusion effects and crowding effects of regional development, the study uses a combination of dynamic evaluation method, spatial kernel density, and mathematical models of urban agglomeration development to quantitatively analyze the spatiotemporal dynamic evolution of tourism economic resilience from 2006 to 2019, simulates and verifies its development patterns. The conclusions show that: (1) The tourism economic resilience in urban agglomerations is closely related to regional development and prosperity; (2) The development of tourism economic resilience also follows the spatial economic development pattern which moves towards equilibrium in aggregation process; (3) The tourism economic resilience of urban agglomerations has a fluctuation climbing node, generally presents as a wave-like upward trend with fluctuations and stages; (4) The evolutionary trend of tourism economic resilience in urban agglomerations presents as a slight wave-like upward curve that changes with time and co-opetition.

Analysis of the Temporal and Spatial Pattern and Convergence Characteristics of High-Quality Sustainable Economic Development of Urban Agglomeration

Based on the sample data of 149 cities in ten major urban agglomerations from 2004 to 2019, the entropy method, Dagum Gini coefficient, and three-dimensional kernel density estimation method are used to calculate and describe the spatial pattern of the high-quality, sustainable economic development of these ten major urban agglomerations. We then use the spatial econometric model to estimate the β convergence trend within the urban agglomerations and among the urban agglomerations at different levels. Our main findings include the following: First, the urban agglomeration tends to develop a high-quality economy, but the gap between the urban agglomerations can be large. Second, although the gap within the overall group of urban agglomerations is expanding, the gap between high-quality individuals and the average is constantly shrinking; the gap between groups is still the leading cause of the spatial gap, with a contribution rate of 70.51%. Third, all urban agglomerations have an absolute and conditional β convergence trend, and the convergence speed presents the characteristics of “high level slow, low level fast”. Government intervention, financial development, urbanization, and human capital contribute to the high-quality, sustainable economic development of each urban agglomeration. There is a heterogeneous influence; there is also absolute and conditional β convergence among urban agglomerations at all levels, and the convergence rate presents a gradient characteristic of “third level > second level > first level”, and by balancing the financial relationships between city groups within each level, development differences can promote the dynamic coordination of high-quality, sustainable economic development rates.

Cross-border e-commerce integrated with regional economic development on mixed depression among financial professionals

BackgroundIn recent years, mixed-type depression has become a widely recognized mental health issue. The rise of cross-border e-commerce and the new pattern of regional economic development may make financial professionals face more complex work environments, which may affect their mental health status. Considering that the combination of cross-border e-commerce and regional economic development may have a certain degree of impact on the mental health of financial practitioners, the study aims to explore the nature and extent of this impact, in order to take effective measures to improve the work environment and quality of life of financial practitioners.Subjects and MethodsThe study followed 80 financial professionals with mixed depression for 1 year. It investigated the extent of mixed-type depression in patients before and after the intersection of cross-border e-commerce and regional economic development. The study used the Hamilton Depression Scale (HAMD) to assess the severity of mixed depressive symptoms.ResultsAfter the mutual integration of cross-border e-commerce and regional economic development, the average HAMA score of mixed depression among financial employees decreased to approximately 10.45, with a significant pre-post difference (P<0.05), indicating that the patients’ mixed depression was significantly alleviated.ConclusionsThe combination of cross-border e-commerce and regional economic development has a significant positive impact on the mixed depression of financial professionals. Prove that while promoting economic restructuring and cross-border e-commerce development, it also indirectly promotes the psychological health of practitioners.AcknowledgementThe 2019 Research Project of Humanities and Social Sciences by Chongqing Municipal Commission of Education (No. 20skz092).

Digital economy and inclusive green growth: The moderating effect of government environmental regulation.

As digital economy flourishes, there have been fundamental changes in the patterns of economic development, social structure, and ecological environment, which are the key elements of inclusive green growth (IGG). However, whether digital economy can effectively contribute to IGG requires further investigation. This paper evaluates the direct and spatial spillover effect of digital economy on IGG of 280 cities in China during 2011-2019 using Spatial Durbin Model (SDM). It further explores how government environmental regulation (GER) moderates this facilitating effect. The empirical results show that digital economy significantly reinforces IGG while GER weakens the benefits of digital economy to IGG. There is a significant spatial spillover effect of digital economy on IGG in neighboring regions; specifically, IGG in peripheral cities is more significantly encouraged by digital economy than in central cities. In addition, digital development demonstrates the most significant impact on IGG in central regions of China, followed by the eastern regions, with western regions lagging behind. This paper contributes theoretically and empirically to promote digital economy selectively for IGG in different regions and provides a guideline for policymakers to achieve IGG through proper GER.

Addressing carbon inequity: Examining factors driving the path to just transition

The urgent need to address climate change has led to global efforts towards achieving carbon neutrality. However, it is crucial to recognize the existence of carbon inequity, where certain regions or communities bear a disproportionate burden of carbon emissions compared to others. This paper explores the concept of carbon inequity and highlights the importance of considering driving factors in the pursuit of just energy transition. By examining the socioeconomic, environmental, and policy-related factors that contribute to carbon emissions, a comprehensive understanding of the underlying causes of carbon inequity is gained. The study emphasizes the need to address systemic issues such as economic development patterns, industrial structures, energy consumption habits, and social inequalities that perpetuate carbon inequity. It further discusses the significance of collaborative and inclusive approaches to carbon reduction, focusing on bridging the gap between regions with high and low carbon emissions. Policy implications are derived to guide decision-makers in formulating effective strategies for achieving carbon neutrality while ensuring equity and fairness. By considering both the overarching goal of carbon neutrality and the distributional aspects of carbon emissions, a more holistic and equitable approach can be adopted to accelerate the transition to a sustainable and low-carbon future.