Consumption Structure Research Articles

Corrigendum: Analysis of the structure and trend prediction of China's total health expenditure

Corrigendum: Analysis of the structure and trend prediction of China's total health expenditure

The Impact of Carbon Emissions Trading Policy on Regional Economy and Pollution Reductions in Chinese Provinces

Carbon emissions trading policy is an important tool to achieve carbon peaking and carbon neutrality goals. In order to explore the effectiveness of carbon emissions trading policy, this paper adopts the difference-in-differences model to analyze the effects of China’s pilot policy on regional economic development and pollution reductions. The results show that carbon trading policy can significantly promote economic development and reduce total carbon emissions, industrial SO2 emissions and solid wastes production of pilot regions. Further research finds that there is significant regional difference in policy effectiveness, with the policy more effective in western areas. In addition to direct effects, carbon trading policy could exert an indirect effect on carbon emissions, air quality, industrial solid wastes and regional economic development by optimizing energy consumption structures and industrial structures and increasing technological investment. This result verifies the “Porter hypothesis”. China should improve the construction of national carbon trading markets, covering more industries, considering the regional differences and negative spillover effect.

Changes in the Global Structure of Energy Consumption and the Energy Transition Process

The global energy transition represents a pivotal aspect of the pursuit of sustainable development and the reduction of greenhouse gas emissions. The objective of this study was to examine the dynamic relationships between global primary energy consumption and the consumption of individual energy sources (nuclear, oil, coal, natural gas, renewables) from 2011 to 2023. To examine both long-run and short-run relationships between variables, advanced econometric methods were employed, including the Johansen cointegration test and the Vector Error Correction Model (VECM). Furthermore, an Index of Sustainable Energy Transformation (ISTE) was devised to quantify the advancement of the transition to low-carbon energy sources. The analysis confirms the existence of long-term equilibrium relationships between global primary energy consumption and the consumption of individual energy sources. The analysis revealed that renewable energy consumption exerts a considerable influence on primary energy consumption, both in the short and long term. The ISTE index demonstrated a notable increase over the period of 2011 to 2023, indicative of advancement in the global energy transition. The results confirm the existence of a stable long-term equilibrium between global primary energy consumption and the consumption of individual energy sources. The observed increase in the ISTE index indicates progress towards low-carbon energy sources, which has important implications for energy policy and sustainable development. The results can support policymakers in monitoring the progress of the energy transition and shaping policies to accelerate the development of renewable energy sources.

An Empirical Analysis of the Influencing Factors of the Changes in the Energy Consumption Structure in Henan Province

An Empirical Analysis of the Influencing Factors of the Changes in the Energy Consumption Structure in Henan Province

Changes in the European Union households' consumption structure and the sustainable development

The subject of this study is the relationship between the households' consumption structure changes and sustainable development. This research was conducted for the European Union (EU) countries in the years 2008-2020. Additionally, in the investigation, the considered area is divided into two separate regimes: countries that joined the EU before 2000 (referred to as Old EU Member States) and countries that joined the EU later (called New EU Member States). It is widely known that the territorial units in the first regime are relatively wealthier than those in the second group. As a result of differences in wealth between the defined regimes, consumer behaviours can vary. Sustainable consumption (SC) is one of the major aspects of sustainable development. SC indicates consumer choices that are both intentional and effective, and these choices demonstrate a positive impact on environmental and/or social conditions. In this research, the influence of households' consumption changes on the environmental pillar of sustainable development is evaluated. Caring for the natural environment is one of the main challenges today. In this research, another approach to measure environmental development is proposed. So far, different types of footprints have been used. This analysis considers most of the environmental indicators defined in the Sustainable Development Goals (SDG's). The environmental development of EU countries is evaluated based on the synthetic measure of development proposed by Hellwig. Moreover, the spatio-temporal sensitivity models are estimated and verified. The sensitivity parameter of these models shows the impact of consumption structure changes on environmental development, wherein the consumption structure is categorized into four groups of goods: services, non-durable, semi-durable, and durable. The spatial autoregressive (SAR) models are also estimated and verified. The investigation results point out the differences in the influence of consumption structure changes on sustainable development depending on the considered group of countries.

ANALYSIS OF MODERN APPROACHES TO FINANCIAL SUPPORT OF HEALTHCARE FACILITIES IN UKRAINE

The purpose of the study is to analyze modern effective approaches to the financial support of healthcare institutions, which have been successfully implemented in the leading countries of the world, in order to form a unique model of their financing in Ukraine. The uniqueness of the model is ensured by taking into account the institutional features of modern Ukrainian reality. The article analyzes the financial instruments for providing healthcare under various models of financing the healthcare system, which are used in global practice. The process of reforming the healthcare system in Ukraine was studied, which made it possible to establish changes in the financing of healthcare. The components of the healthcare institution's budget are given. The main advantages and disadvantages of approaches to financing healthcare in Ukraine are determined. The volume and structure of expenditures of the Consolidated Budget of Ukraine on healthcare, as well as the main results of the activities of medical care providers covering all regions of Ukraine, were analyzed. The problems of financing healthcare facilities at the local level in Ukraine, which negatively affect the availability and quality of medical services, have been identified. The need to develop a mixed model of healthcare financing in Ukraine through a rational partnership between state medical institutions and the private sector is substantiated. Taking into account the identified problems and needs, a comprehensive approach to improving the financing of healthcare facilities through the introduction of mandatory health insurance and the development of public-private partnerships in the form of facility management, including resource optimization and technological innovations, is proposed.

Sustainability of Local Public Finances from the Perspective of Territorial Disparities in the Rural Areas of Romania

The sustainability of local public finances is of general interest in the context of the socio-economic transformations of recent decades. In former communist countries such as Romania, where there has been no real reform of local government, this interest is heightened by the strong disparities between administrative units that have adapted to the new context and those that, for various reasons, have become dependent on government subsidies to be able to function. Using information derived from the budget execution for 2019–2023 at the level of the administrative units in rural areas, this study analyzes the structure of income and expenditure budgets. The territorial disparities are demonstrated by typological analyses showing strong regionalization, with a well-defined income or expenditure structure profile. In the same sense, multivariate analysis which uses a series of illustrative demographic and socio-economic profiles as explanatory variables shows significant correlations with the structure of local budgets. It is thus possible to distinguish certain regional patterns, depending on the level of development, geographical position, or quality of infrastructure. The study results demonstrate the need for genuine administrative reform to reduce the dependence of local budgets on subsidies and increase their self-sustainability, especially in rural areas.

Energy Price Distortions and Urban Carbon Emission Efficiency: Evidence from China’s Energy-Intensive Sectors

With a primary focus of achieving carbon neutrality, the energy-intensive industrial sectors (EIIs) contribute to more than half of China’s carbon dioxide (CO2) emissions. During the process of China’s rapid economic development, distorted energy prices gradually became the main obstacle to energy conservation and emission reductions in the EIIs. Therefore, this study focused on determining the mechanisms affecting the energy price distortions of carbon emission efficiency (CEE) in China’s EIIs. Based on a stochastic frontier analysis, the changing trend of CEE in China’s EIIs was evaluated. The channels impacting the energy price distortions of CEE were further analyzed by a mediating effect and moderated mediating effect model. The main contributions and findings include the following: energy price distortions have a significant negative impact on CEE by suppressing technological innovations and hindering the restructuring of energy consumption; governmental environmental regulatory policies mitigate their suppressing effect on technological innovations and reduce the preventing effect by improving the energy consumption structure. The results suggest that market-based price reforms and moderate environmental regulation by the government could help to improve CEE in China’s EIIs. These findings are of great significance for promoting the sustainable development of the energy-intensive industrial sectors and achieving carbon neutrality.

The Promoting Effect of Green Bonds on Reducing Carbon Emission Intensity Through Energy Structure Transition

Climate change poses a significant threat to the sustainable development of all countries. The transition to low-carbon energy sources is a crucial strategy for reducing carbon emissions and mitigating climate change. We investigate the mediating role of clean energy consumption (EC) and fossil energy supply (ES) on the promoting of carbon emission intensity per unit of GDP (CO2/GDP) reduction by green bonds (GBs). We develop a mediating model to analyze how GB influences CO2/GDP reduction through EC and ES, utilizing panel data from 13 prefecture-level cities in Jiangsu province spanning the years 2007 to 2021. Additionally, we assess the model’s reliability through endogeneity and robustness tests. We find that GBs contribute to reducing CO2/GDP by facilitating the structural transition of energy supply and consumption. Furthermore, the development of GBs enhance the consumption of clean energy and plays a direct role in advancing the transition in structure of both energy supply and energy consumption. Notably, we observe heterogeneity in the effectiveness of GBs on CO2/GDP reduction across different regions. Therefore, it is imperative for the government to actively promote the development of GBs to achieve sustainable economic growth. Furthermore, both financial and energy policies should be tailored to align with the specific energy structures of various regions.

A study on the impact of high-speed rail on the consumption structure of urban and rural residents in China.

Consumption is crucial to individual well-being and national economic development. This study investigates whether high-speed rail (HSR) influences consumption expenditure (CE) and consumption structure (CS) of urban and rural Chinese citizens. Using panel data from 2003 to 2019 and econometric models, this study finds that: (1) HSR significantly increases CE for both urban and rural residents, promotes CS upgrades in rural areas, but inhibits CS upgrades in urban areas. These results remain robust after extensive testing. (2) HSR's impact on urban consumption is relatively focused and singular, whereas its effect on rural consumption is dispersed and extensive. Additionally, the impact of HSR on consumption exhibited significant delays and regional characteristics. (3) Mediation analysis reveals that HSR significantly enhances urban and rural CE and facilitates rural CS upgrades through market, price, and income effects. However, it also triggers housing price increases, impeding urban CS upgrades. This study provides important references for the government to optimize transportation infrastructure investments, promote balanced economic development between urban and rural areas, and enhance residents' well-being.

The Impact of Changes in China's Population Structure on Consumption Patterns

Consumer spending is the key engine driving economic growth in China. However, in recent years, the overall consumption pattern in China has been affected by domestic epidemics, leading to an increase in unemployment rates among residents and a decrease in consumer willingness. As a result, the annual changes in final consumption expenditure have tended to stabilize, with almost no upward trend. Consequently, numerous studies have emerged based on the current consumption situation in China, providing recommendations to promote consumption. This paper, using data from the World Bank and China's National Statistical Yearbook, conducts research on the impact of demographic changes on consumption structure and proposes relevant suggestions to boost consumption in China. Researching the development of China's population structure reveals several notable trends. These include a decrease in the working-age population accompanied by a significant aging trend, improvements in population quality due to enhanced human capital, and a noticeable trend towards urbanization and increased population mobility. Therefore, this paper provides a series of recommendations, encourages national policies and corporate innovations that promote consumption, and offers solutions to potential issues arising from changes in population structure.

Spatio-temporal variations of energy carbon emissions in Xinjiang based on DMSP-OLS and NPP-VIIRS nighttime light remote sensing data.

With the rapid economic development of Xinjiang Uygur Autonomous Region (Xinjiang), energy consumption became the primary source of carbon emissions. The growth trend in energy consumption and coal-dominated energy structure are unlikely to change significantly in the short term, meaning that carbon emissions are expected to continue rising. To clarify the changes in energy-related carbon emissions in Xinjiang over the past 15 years, this paper integrates DMSP/OLS and NPP/VIIRS data to generate long-term nighttime light remote sensing data from 2005 to 2020. The data is used to analyze the distribution characteristics of carbon emissions, spatial autocorrelation, frequency of changes, and the standard deviation ellipse. The results show that: (1) From 2005 to 2020, the total carbon emissions in Xinjiang continued to grow, with noticeable urban additions although the growth rate fluctuated. In spatial distribution, non-carbon emission areas were mainly located in the northwest; low-carbon emission areas mostly small and medium-sized towns; and high-carbon emission areas were concentrated around the provincial capital and urban agglomerations. (2) There were significant regional differences in carbon emissions, with clear spatial clustering of energy consumption. The clustering stabilized, showing distinct "high-high" and "low-low" patterns. (3) Carbon emissions in central urban areas remained stable, while higher frequencies of change were seen in the peripheral areas of provincial capitals and key cities. The center of carbon emissions shifted towards southeast but later showed a trend of moving northwest. (4) Temporal and spatial variations in carbon emissions were closely linked to energy consumption intensity, population size, and economic growth. These findings provided a basis for formulating differentiated carbon emission targets and strategies, optimizing energy structures, and promoting industrial transformation to achieve low-carbon economic development in Xinjiang.

Regional energy consumption policy practice to promote low-carbon economy

IntroductionEnergy is the fundamental driving force for world economic and social development. However, the growth of carbon dioxide emissions and increasing environmental challenges are becoming increasingly problematic, limiting the pace of economic development.MethodsTo optimize the energy consumption structure and promote the development of low-carbon economy, this study took Shaanxi Province as an example to analyze the impact of low-carbon economy policy variables on the energy consumption structure dominated by coal. The purpose of this study is to examine the influence of policy variables on the evolution of energy consumption structure by constructing a system dynamics model. In addition, this study will explore policy optimization issues.ResultsThe error of simulation results was within ±10%. The consumption of non-fossil energy increased from 2,196,400 tons of standard coal in 2009 to 22.578 million tons in 2030, which is in line with the development trend. Under these four policy combinations, the share of coal will fall to 57.8 percent by 2030. In addition, the share of non-fossil energy sources will increase to 21 percent and the share of natural gas will reach 16 percent.DiscussionThe policy suggestions put forward in this paper are of great significance to the optimization of energy structure led by coal. The model constructed can be effectively applied to practical policy simulation and adjustment, and can provide reference for the development of low-carbon economic policies in other regions.

Transportation of Liquefied Natural Gas (LNG) via Long-Distance Low-Temperature Pipeline and Cascade Utilization of Cold Energy

In addition to methane, liquefied natural gas (LNG) typically contains valuable light hydrocarbons such as ethane, propane, and butane. Establishing LNG receiving stations for imported LNG can effectively alleviate regional energy supply-demand conflicts, optimize energy consumption structures, promote sustainable regional economic development, and improve ecological environments. The technology for long-distance low-temperature pipeline transportation of LNG facilitates the efficient transfer and cascading utilization of the cold energy contained in LNG, allowing for deep coupling with cold networks and natural gas pipelines, thereby promoting the integrated development of LNG, cold energy, and natural gas transportation. This paper systematically summarizes the current status of LNG long-distance low-temperature pipeline transportation technology, cold energy cascading utilization technology, pipeline regulation technology, and multi-network integration technology. It analyzes the key challenges these technologies face under new strategies and looks ahead to future development trends, aiming to provide scientific insights and directions for the application of LNG long-distance low-temperature transportation and multi-network integration in China.

Urban housing prices and consumption structure upgrading: Different relationships in urban and rural China

The dynamics of housing prices can play a pivotal role in shaping household behavior. Motivated by the limited research on the impact of housing prices on consumption structure upgrading in China, this paper presents a series of analyses that deploy panel data from 276 Chinese cities between 2005 and 2019 to scrutinize this impact. Firstly, fixed effect models were used to investigate the relationship between urban housing price and the consumption structure upgrading, and it was found that urban housing price has an inverted U-shaped effect on the consumption structure upgrading of Chinese urban residents, while it has an inhibitory effect on the consumption structure upgrading of Chinese rural residents. Then, we conducted multiple robustness tests, all of which corroborated the benchmark results’ reliability. Finally, deeper than existing research, the mechanism of the impact of urban housing prices on the consumption structure upgrading was further explored and it was found that increasing urban housing prices can affect consumption structure upgrading by affecting residents’ marginal propensity to consume in development and enjoyment. Our findings provide key alternatives for China’s government to promote residents’ consumption structure upgrading.

Enormous inter-country inequality of embodied carbon emissions and its driving forces in South America

South America is a crucial developing region under significant pressure to reduce emissions and achieve carbon neutrality. This study fills a vital gap by comprehensively analysing the continent’s carbon emissions from both production and consumption perspectives. Utilizing the most up-to-date global Multi-Regional Input-Output (MRIO) models, we examine the emissions embodied in the internal and external trade of nine major South American countries, tracing the emission flows from their origins to final consumers and analyzing the socio-economic drivers behind these patterns. Our analysis reveals that regions bearing heavier burdens of energy-intensive production often face exacerbated economic disparities. Trade-related emissions are embodied in heavy industry and transportation, and the share of emissions attributable to developing countries is continuously climbing. Brazil is the sole net-exporter of emissions, while Colombia has become a significant net importer. Energy intensity offsets the increase in carbon emissions caused by per capita consumption, especially in Brazil. Meanwhile, Colombia experiences an increase in emissions due to its energy structure, whereas a general trend towards decreasing emissions is noted elsewhere. The impact of the industrial chain is mainly domestic and extends forward along the supply chain. Interestingly, the consumption structure reduces emissions in Argentina and Bolivia, but increases them in other countries. Key emission mitigation initiatives include Brazil enhancing its leadership in bioenergy, Chile intensifying the development of green industrial chains for high-emission sectors, and Uruguay advancing its wind energy projects to increase clean energy exports, etc. These measures could facilitate targeted and effective decarbonization while promoting equitable and sustainable economic development across South America.

Exploring carbon footprints and carbon intensities of Indonesian provinces in a domestic and global context

Within Indonesia, the structure of consumption and production differs significantly across provinces. This implies that carbon footprints and intensities between provinces are also diverse. This paper calculates historical consumption- and production-based carbon emissions at the provincial level using a multi-scale input-output (IO) database for 2010, in which an environmentally extended multi-regional IO (EE MRIO) table for 34 Indonesian provinces is integrated in the global EE MRIO EXIOBASE with data for 43 countries and 5 rest of the world regions. Emissions from consumption are detailed by product and their points of origin, while emissions from production are detailed by industry and their destinations. Our results show the heterogeneity of Greenhouse Gas (GHG) emissions under both sides. The Java region is a net importer of carbon emission, while Sumatra and Kalimantan are net exporters. In the global context, the Asia Pacific region plays important role in national GHG emissions. Services product contributed 57.1% of national consumption-based GHG emissions, followed by manufacture (30.6%), and agriculture (12.3%). On the national level, 63.5% of national GHG emissions are related to household consumption. There is a high disparity across provinces in Indonesia in carbon footprints. Provincial average per capita carbon footprints vary from 2 t CO2e/capita in East Nusa Tenggara to 13.84 t CO2e/capita in East Kalimantan. Carbon intensity also varies from 0.83 kt CO2e/M Euro in Jakarta to 2.37 kt CO2e/M Euro in North Kalimantan. Agriculture and food products dominate household carbon footprints, while construction leads in government carbon footprints. Utilities and transportation services play important roles on national carbon intensities. We further correlated the Human Development Index (HDI) with per capita carbon footprints and expenditure, and find that provinces with similar GHG emissions and expenditure per capita income as Java, tend to have a lower HDI. Understanding development status and province-level characteristics is important for selecting policy strategies.

Incorporating embodied carbon transfer and sequestration service flows into regional carbon neutrality assessment in China

Reliable and effective carbon neutrality assessments are crucial prerequisites for implementing various low-carbon policies and achieving carbon neutrality goals. Although the impact of embodied carbon transfer and carbon sequestration service flows on regional carbon neutrality is becoming increasingly significant, these factors are not effectively incorporated into current carbon neutrality assessments. Based on a thorough review of the literature and theoretical analysis, this study attempts to construct a regional carbon neutrality assessment framework that incorporates embodied carbon transfer and carbon sequestration service flows. This framework is then applied to assess carbon neutrality and its influencing factors in China's provinces. Our findings reveal that carbon emissions and sequestration capacities have increased across Chinese provinces, with the highest emissions in North and East China, and the highest sequestration in Southwest China. Economically developed provinces like Beijing, Zhejiang, and Jiangsu transfer substantial embodied carbon to provinces such as Inner Mongolia, Shanxi, and Hebei, while Guangxi, Sichuan, Yunnan, and Qinghai are major providers of carbon sequestration services. Carbon neutrality levels in Chinese provinces show a ring-shaped distribution, increasing from the inner to outer rings. Higher levels are found in Southwest and Northwest provinces (e.g., Yunnan, Qinghai, Guangxi), and lower levels in North and East provinces (e.g., Shanxi, Beijing, Zhejiang). Factors like urbanization rate, population density, per capita GDP, and energy consumption structure negatively impact carbon neutrality levels, whereas ecological land area and annual precipitation have positive impacts. In summary, incorporating embodied carbon transfer and carbon sequestration service flows into the regional carbon neutrality assessment framework facilitates a more comprehensive analysis of regional carbon neutrality levels and their influencing factors. This approach broadens the theoretical and methodological scope of regional carbon neutrality assessments and provides scientific references for the implementation of low-carbon policies and the advancement of carbon neutrality goals.

Impact of urban-rural resident basic medical insurance on consumption quality of middle-aged and older adult residents: evidence from rural China.

In the context of the Chinese government's advocacy for "Internal Circulation", ongoing reforms in medical insurance policies raise critical questions about whether the basic medical insurance system can stimulate resident consumption and enhance its quality. Based on five waves of panel data from the China Health and Retirement Longitudinal Survey (CHARLS), this paper analyzes the impact of medical insurance on the consumption scale and structure of middle-aged and older adult rural residents by using the time-varying difference-in-differences (time-varying DID) method. The findings indicate that the Urban-Rural Resident Basic Medical Insurance (URRBMI) effectively stimulates the consumption scale of rural middle-aged and older adult individuals, particularly enhancing non-food consumption, development-oriented spending, and hedonic consumption. This, in turn, optimizes the consumption structure and improves overall consumption quality. Notably, URRBMI significantly enhances the consumption scale and structure among rural middle-aged and older adult women, unmarried individuals, and residents in western China. These results suggest that URRBMI plays a crucial role in alleviating consumption inequality within rural areas and across different regions, providing a theoretical foundation for policy-making.

How does ICT development in resource-exhausted cities promote the urban green transformation efficiency? Evidence from China

The contradiction between resource depletion and economic growth in resource-exhausted cities is becoming prominent. The role of ICT has been reflected in many policies to promote sustainable urban development. It is necessary to clarify the mechanism of ICT for urban green transformation efficiency (UGTE) in resource-exhausted cities. In this research, 39 resource-exhausted cities in China were selected as the research samples, and panel data were collected for 20 years to assess their ICT development level and their UGTE. The panel regression model, PVAR model, heterogeneity test, and moderating effect test were used to analyze the relationship between the two. The main findings are as follows: (1) ICT has a facilitating effect on UGTE in resource-exhausted cities, with a regression coefficient of 0.170⁎⁎⁎. (2) The improvement of ICT significantly promotes the UGTE in these cities, and the promotional effect reaches a peak after a lag of 6 periods; the original UGTE also has a negative impact on the future ICT development level, and the negative impact reaches a peak after a lag of 6 periods. (3) The promotional effect of ICT on UGTE in resource-exhausted cities consists of being strongest in the eastern region (0.477⁎⁎⁎), then in the central region (0.233⁎⁎⁎), weaker in the western region (0.167⁎⁎), and weakest in the northeastern region (0.080*). (4) The improvement of energy structure, green innovation structure, and urban-rural consumption structure strengthens the promotional effect of ICT on UGTE in resource-exhausted cities. Finally, targeted policy recommendations were proposed.