Consumption Structure Research Articles

Прогнозування обсягів електроспоживання в Україні з урахуванням міграції населення внаслідок воєнних дій

The peculiarities of energy consumption in the field of housing and communal services are characterized by a high dependence on the population's demand for various services provided by enterprises and institutions of various subordination. The volume of fuel and energy usage depends on the lifestyle, population size, structure, and other demographic characteristics. Household electricity consumption norms depend on the social level of comfort provision for the population. In Ukraine, the onset of war has led to significant population displacement, altering the usual way of life and comfort level. This research aims to analyze the impact of population migration due to wartime on electricity consumption volumes for various uses. Data on population size before and after full-scale invasion by regions and countrywide are analyzed. Absolute population changes in each region and the country as a whole are determined. Migration patterns and their influence on changes in electricity consumption are studied. The distribution of migrants by regions and changes in electricity consumption volumes in these regions are examined. The main significant factors affecting population energy consumption during wartime are identified. The average annual electricity consumption per capita is calculated, and comparisons are made with major European countries. Trends in the structure of electricity consumption by the population during the retrospective period are analyzed, along with potential influencing factors. Keywords: energy consumption, specific electricity consumption per capita, population, migration, forcibly displaced persons.

Analysis of energy consumption and change structure in major economic sectors of Pakistan.

Studying and analyzing energy consumption and structural changes in Pakistan's major economic sectors is crucial for developing targeted strategies to improve energy efficiency, support sustainable economic growth, and enhance energy security. The logarithmic mean Divisia index (LMDI) method is applied to find the factors' effects that change sector-wise energy consumption from 1990 to 2019. The results show that: (1) the change in mixed energy and sectorial income shows a negative influence, while energy intensity (EI) and population have an increasing trend over the study period. (2) The EI effects of the industrial, agriculture and transport sectors are continuously rising, which is lowering the income potential of each sector. (3) The cumulative values for the industrial, agricultural, and transport sectors increased by 57.3, 5.3, and 79.7 during 2019. Finally, predicted outcomes show that until 2035, the industrial, agriculture, and transport incomes would change by -0.97%, 13%, and 65% if the energy situation remained the same. Moreover, this sector effect is the most crucial contributor to increasing or decreasing energy consumption, and the EI effect plays the dominant role in boosting economic output. Renewable energy technologies and indigenous energy sources can be used to conserve energy and sectorial productivity.

The Impact of the Digital Economy on Provincial Carbon Productivity: Empirical Evidence from China

With the introduction of the dual carbon goals of “carbon peak” and “carbon neutrality”, low-carbon economic development has become the focus of attention for all sectors in China. Improving carbon productivity (CP) is the key to developing a low-carbon economy and is essential to achieving carbon emission reduction and economic growth. The rapid development of the digital economy (DE) provides a new breakthrough for improving carbon productivity, but there are few studies on the digital economy and carbon productivity in the existing literatures. We empirically investigate the impact mechanism of the digital economy on provincial carbon productivity using China’s provincial panel data from 2010 to 2019. This study finds that the digital economy significantly raises provincial carbon productivity; this result remains valid after a series of robustness tests. The digital economy can impact provincial carbon productivity through both energy consumption structure (ECS) and green technology innovation (GTI) and can contribute to the improvement of provincial carbon productivity by optimizing energy consumption structure and improving green technology innovation. In addition, different environmental regulations have different impacts. Command-and-control environmental regulation (CER) weakens the positive impact of the digital economy on provincial carbon productivity, whereas market-based environmental regulation (MER) enhances the positive impact of the digital economy on provincial carbon productivity. This study extends the research on the digital economy in the field of low-carbon development, providing insights and policy suggestions for relevant departments to promote low-carbon development from the perspective of the digital economy.

EFFICIENCY OF ENVIRONMENTAL PROTECTION EXPENDITURE OF THE GENERAL GOVERNMENTS IN EUROPEAN UNION MEMBER STATES IN THE CONTEXT OF SUSTAINABLE DEVELOPMENT IN WASTE MANAGEMENT

Aim: Pursuing sustainable development justifies incurring expenditure in the field of environmental protection because the state’s active fiscal policy is an essential determinant of achieving sustainable development goals. The distribution of public funds should depend on the efficiency of their use. The purpose of the research procedure is (1) to analyze the structure of environmental protection expenditure of the general government in the European Union and the individual member states; (2) to assess the efficiency of environmental protection expenditure of the general government in the implementation of sustainable development goals in waste management. Methods: The study uses linear regression with regression confidence bounds. The indicator chosen to assess the efficiency of expenditure was the Recycling rate of municipal waste (SDG_11_60). Results: The structure of environmental protection expenditure of the general government in most member states in 2012–2021 was stable, which may result from the adopted national environmental policies or internal conditions of a given country. Waste management expenditure dominates the structure of environmental protection expenditure of the general government in many countries. The analysis of the efficiency of environmental protection expenditure of the general government in waste management confirmed its efficiency in a significant number of states. Conclusions: The research procedure indicated that positive relations between general spending on the environment and achieving sustainable goals can be confirmed. Unfortunately, there is a problem with data consistency of various indicators measuring sustainable goals. Therefore, extending such research to a multiple factor case, for example, can be difficult.

A fenntartható élelmiszer-fogyasztás összefüggései

The past seventy years have been perhaps the fastest development phase in human history. The concept of sustainable development is the sense of responsibility towards future generations, the so-called emphasizes intergenerational solidarity by recognizing the right of future generations to meet their needs. The biggest challenge facing humanity is finding solutions to reduce the damage it causes. The key to this is changing consumption habits. We believe that a food consumption structure that has a low environmental impact, but at the same time an insufficient nutrient density, cannot be considered sustainable, as this leads to malnutrition and deficiency diseases. A sustainable food system (SFS) is a food system that ensures food security and healthy nutrition for all, in a way that does not jeopardize the economic, social and environmental foundations for future generations. Based on what has been described so far, it is clear that the environment and health are two key dimensions of a sustainable diet or sustainable food consumption. The article presents the implementation possibilities of sustainable food consumption through examples.JEL Codes: E2, Q5

Model Pengeluaran Rumahtangga Peternak Ayam Broiler Di Kecamatan Tenayan Raya Kota Pekanbaru Provinsi Riau

Household expenditure is the amount of money used by households to meet household consumption. This study aims to analyze the characteristics of broiler farmers, the structure of household income and expenditure, and analyze the factors affecting broiler farmers household expenditure. This study uses a survey method. The sampling method used simple random sampling with a total sample of 56 broiler farmers. There are 4 findings in this study. First, the age of the broiler farmers is productive with a high school education level. They are experienced in their business. Second, the structure of broiler farmers household income consists of broiler business income and non-farm income. Broiler business income has a large contribution to household income. Third, household expenditure consists of food and non-food expenditure. Non-food expenditure has the largest share of household expenditure. Fourth, significant dominant factors affecting household expenditure are household income, number of family members, savings and household assets. However, farmer's education does not significantly affect household expenditure

Концепція маркетингової логістики продукції рослинництва та її роль у економічній діяльності сільськогоспо-дарських підприємств

This study adopts a unique approach, drawing on the dialectical method of cognition, fundamental economic theory, marketing, and logistics principles, as well as the works of domestic and foreign scientists. The focus is on the formation of marketing logistics concepts for agricultural enterprises in crop production in the agri-food products market, presenting a fresh perspective that will intrigue and engage the reader. To carry out the research, various general and special scientific research methods were used, including theoretical generalization and comparison (formulation of conclusions and terminology in marketing logistics), monographic (in-depth study of marketing logistics), historical-retrospective (analysis of marketing logistics development), heuristic (assessment of marketing logistics processes in agri-food product markets), graphic (representation of research results and economic process trends), etc. The ‘supply chain of agro-food products’ and its economic significance are explained in detail, making the audience aware of its crucial role. The study establishes the crucial role of logistics in supplying agri-food products for ensuring global food security and promoting competitiveness in Ukraine’s agricultural sector. An analysis of the functions of marketing and logistics of agricultural enterprises revealed a strong connection between the two. Typically, this relationship is demonstrated through elements of the marketing mix, such as product and pricing policies and distribution policies. The product policy in marketing is identified as the most significant element of the marketing mix for agrarian sector enterprises. The author’s definition of the economic essence of the concept of “marketing logistics” is proposed, which performs the management function of coordinating and coordinating marketing and logistics activities in food supply chains and is focused on methods that ensure an adequate level of customer service to provide competitive advantages to enterprises of the agrarian sector in the markets of agri-food products. The concept of marketing logistics for an agricultural enterprise was developed to improve the effectiveness of logistics functions in agrarian formations and implement marketing-based logistics activities. The study provides a comprehensive analysis of the long-term evolution (1961-2021) and price forecast (2023-2031) for agri-food products in real terms. It also offers insights into the structure of global consumption of agri-food products according to needs (food needs, animal feed, biofuel, other needs) in 2019-2021, and a forecast of its development for 2031 based on data from the Food and Agricultural Organization of the United Nations (FAO). This information will keep the audience informed and prepared for future developments in the agri-food industry. Keywords: marketing logistics, logistics supply chains of agri-food products, world prices for agri-food products, grain crops, corn, food safety, the complex marketing of an agricultural enterprise, the concept of marketing logistics of an agricultural enterprise.

Carbon footprint of household meat consumption in China: A life-cycle-based perspective

The food industry accounts for 25% of global carbon emissions, of which animal food accounts for 57%. Therefore, the reduction of carbon emissions from meat products consumption is one of the important issues of global climate governance. This study calculates and compares the carbon footprints of major meat products in China at various stages of production and consumption and the trends of their development based on life cycle assessment and questionnaires, which will help to understand the emission characteristics and reduction potential of the food sector in China. The results show that the main stages of the life cycle and the size of the total carbon footprint of the meat category for the same unit standard exhibit the following order: beef > mutton > pork > poultry (chicken and duck) > seafood (fish and shrimp); the farming factor has a greater impact on carbon emissions, followed by transportation and a smaller impact at the meal-making stage; from 2010 to 2021, China's total meat products consumption and carbon emissions continue to increase, but the structure of meat consumption is gradually diversified and balanced, and the trend of carbon emissions shows a slowdown in growth with structural changes. Finally, based on the results of the study, this paper proposes countermeasures for meat production and consumption.

Environmental regulation effect on health poverty in China

How does government spending on environmental protection benefit people's health? The current paper analyzed 2010 and 2018 data from the China Family Panel Studies (CFPS) database to measure the impact of province-level environmental regulations on the health of local population. The study also applied the Alkire Foster method to develop the multidimensional health poverty (MHP) score, a new index intended to measure the health status of individuals in a holistic manner. Our results indicated that more fiscal spending on environmental regulation could improve health of the local population, especially among low-income population living in the rural areas. Further, the size of health benefit differs by the type of environmental regulation. More specifically, regulations focusing on preventing environmental pollution can achieve more sizable health benefits than remedial ones. Finally, fine inhalable particle (PM2.5) has the largest mediating effect on the relationship between environmental regulation and public health. These results provide several policy implications, which highlight the importance of: scaling up fiscal environmental expenditure and optimizing the structure of environmental expenditure with more emphasis on rural areas where more low-income population are located; shifting from ex-post accountability to ex-ante prevention; and strengthening regional cooperation in environmental protection among local governments, and establishing a cross-regional coordination mechanism.

Study on the current situation and influencing factors of corn import trade in China – based on the trade gravity model

Abstract With the rapid development of China’s economy and society, the income level of Chinese residents is increasing day by day, and the dietary consumption structure of domestic residents is constantly optimized and upgraded. The consumption demand for livestock products such as meat, eggs and milk, and corn starch industrial products is increasing day by day. Therefore, as the main raw material of feed industry and deep processing owners, the consumption scale of China corn market is constantly expanding. However, the corresponding domestic corn production scale has not expanded, and the domestic corn production presents an obvious problem of insufficient supply scale, which leads to a sharp and rapid increase in the number of corn imports in China, which seriously impacts the domestic corn market and affects China’s healthy development of corn industry. In recent years, the continuous spread of the COVID-19 epidemic has seriously affected the global grain production and trade. The fierce military conflict between Russia and Ukraine, the two major grain exporting countries, has once again brought a serious adverse impact on the supply and price of the global grain market, resulting in an increase in the import cost of corn in China and a change in the import pattern of corn in China. In this regard, this study analyzes the current situation of corn production and import trade in China, and based on the relevant trade data between China and major corn importing countries from 2013 to 2022, establishes a trade gravity model to quantitatively evaluate the main factors affecting China’s corn import trade, and analyzes the trade potential of sample countries. It was found that in 2022, China’s import and export trade volume and trade value were 20.62 million tons and 7.11 billion US dollars, respectively, compared with 2013, trade volume and trade volume increased by 6.3 times. Statistics on the potential types of various trading countries showed that the proportion of potential countries was 14.2%, and Brazil had the greatest potential in China’s corn import trade. The proportion of potential expanding countries is about 71.4%, and Laos is a mature country with less opportunities for further development. In order to promote the benign development of the domestic corn industry and the development of China’s corn import trade, this paper puts forward a series of countermeasure suggestions based on the above research.

Public hospital reform, family health consumption and health inequality: evidence from China Family Panel Studies.

In 2017, China launched a comprehensive reform of public hospitals and eliminated drug markups, aiming to solve the problem of expensive medical treatment and allow poor and low-income people to enjoy basic health opportunities. This study attempts to evaluate the policy impact of public hospital reform on the health inequality of Chinese residents and analyze its micro-level mechanism from the perspective of household consumption structure. Studying the inherent causal connection between public hospital reform and health inequality is of paramount significance for strengthening China's healthcare policies, system design, raising the average health level of Chinese residents, and achieving the goal of ensuring a healthy life for individuals of all age groups. Based on the five waves of data from the China Family Panel Studies (CFPS) conducted in 2012-2020, We incorporates macro-level statistical indicators such as the time of public hospital reforms, health insurance surplus, and aging, generating 121,447 unbalanced panel data covering 27 provinces in China for five periods. This data was used to explore the impact of public hospital reform on health inequality. Logical and empirical tests were conducted to determine whether the reform, by altering family medical care and healthy leisure consumption expenditures, affects the micro-pathways of health inequality improvement. We constructed a two-way fixed model based on the re-centralized influence function (RIF_CI_OLS) and a chained mediation effects model to verify the hypotheses mentioned above. Public hospital reform can effectively improve the health inequality situation among Chinese residents. The reform significantly reduces household medical expenses, increases healthy leisure consumption, promotes the upgrading of family health consumption structure, and lowers the health inequality index. In terms of indirect effects, the contribution of the increase in healthy leisure consumption is relatively greater. Public hospital reform significantly alleviates health inequality in China, with household health consumption serving as an effective intermediary pathway in the aforementioned impact. In the dual context of global digitization and exacerbated population aging, enhancing higher education levels and vigorously developing the health industry may be two key factors contributing to this effect.

Energy intensity convergence among Chinese provinces: a Theil index decomposition analysis

China, the world’s largest carbon emitter, has one of the most stringent provincial emissions reduction programs, incorporated into its Five-Year National Plan to reduce carbon emissions. However, the widening energy intensity gap between provinces poses a great challenge for carbon reduction. In this study, we analyze the convergence of Energy intensity (EIC), i.e., the time-dependent decrease of differences among regional energy intensity over time focusing on a data set of 30 Chinese provinces from 2000 to 2015. Our goal is to identify the provinces that are responsible for the observed divergence in energy intensity and identify the factors causing that divergence in each individual case. The Theil index is used to capture inter-provincial energy inequality. We use the LMDI decomposition analysis to identify the drivers of energy inequality (energy consumption structure, energy efficiency, and industrial structure). The results suggest that reducing energy intensity in Inner Mongolia, Xinjiang, and Hebei is the key to solving China's increasing energy intensity “gap” dilemma. The factors causing the energy intensity divergence in Inner Mongolia and Xinjiang are related to lagging economic growth and low energy efficiency, which impedes carbon emission reductions significantly. The factors causing the divergence of energy intensity in Hebei are rooted in its heavy industrial structure. Our findings are directly applicable to crafting regional energy policy with more targeted and practical emission reduction programs.

The impact of energy efficiency on ecological footprint in the presence of EKC: Evidence from G20 countries

Energy efficiency is the force behind economic growth that has a significant impact on the environment. This study investigated the impact of energy efficiency on ecological footprint by incorporating the environment Kuznets curve (EKC) model. Analysing data from G20 economies, the basic outcomes indicated that energy efficiency reduced ecological footprint and EKC is valid. Robustness test results validated the above conclusion. Institutional quality weakened the positive effect of energy efficiency on the environmental quality. Besides that, the mediation outcomes confirmed that energy efficiency leads to reduced fossil fuel consumption, thereby decreasing ecological pressure. When crossing the threshold value of the energy consumption structure, the parameter of energy efficiency underwent a transition from positive to negative. When the manufacturing proportion exceed a certain value, the influence of energy efficiency on ecological degradation was swift from negative to positive. By focusing on energy efficiency as an approach to address the ecological strain in the G20 economies, this research topic can serve as a springboard for policy conversations between researchers and governments. The study also proposed the following policy implications based on the findings: (1) governments should increase investments in energy efficiency improvement technologies; (2) policies should be strategically integrated to address a variety of concerns, including those related to the environment; and (3) energy and industrial structures should be upgraded to improve the environment.

Exploring ways to improve China's ecological well-being amidst air pollution challenges using mixed methods

Ecological well-being performance (EWP), a novel concept in sustainable development research, diverges from traditional ecological efficiency in terms of perspectives, core content, and driving factors. However, research on EWP remains insufficiently comprehensive, particularly the corresponding theoretical and methodological investigations into driving pathways. To address this gap, this study develops an “economy-environment-health” framework, incorporating air pollution and associated health losses into the evaluation system, and employs a two-stage Super-NSBM and Window DEA model for reevaluating EWP. The study further investigates the primary pathways of EWP, focusing on environmental regulations, technological innovation, and structural adjustments through both quantitative and qualitative methods. Quantitative spatial econometric analysis reveals that factors such as market-driven environmental regulations, green invention patents, and industrial and energy consumption structures significantly enhance EWP. While examining the “net effects” contributions of individual variables using spatial econometric models, the fsQCA method is employed to identify four effective driving paths for EWP from a configurational perspective. These paths are 1) technological innovation and structural adjustment under environmental regulations with public participation; 2) a combination of environmental regulation, technological innovation, and structural adjustment; 3) structural adjustment with minimal influence from environmental regulations and technological innovation; and 4) structural adjustment directed by market-incentive environmental regulations.

Correlation analysis of energy consumption, carbon emissions and economic growth

In today's highly advanced industrialised and modernised world, China's economy is still growing, and its demand for energy is increasing daily. It is crucial to examine the connection between energy consumption, carbon emissions, and economic growth in order to promote economic growth based on energy conservation and emission reduction. Using Dezhou City in Shandong Province as an example, the study builds a VAR model of carbon emission, energy consumption, and economic growth in Dezhou City based on simplified macroeconomic sub-models, energy sub-models, and environmental sub-models. It then determines the correlation and influence mechanism between the three using tests like ADF unit root and Granger causality. The pertinent elements affecting Dezhou's carbon emissions were then investigated using grey correlation analysis. Finally, based on the study's findings, policy suggestions are made regarding energy use, carbon emissions, and economic expansion. It is necessary not only to restrain high-energy consumption industries and fundamentally optimize the energy consumption structure, but also to find new economic growth points and improve economic growth channels, so as to optimize the industrial structure. In this process, increasing the proportion of the tertiary industry is a key measure. In addition, the government needs to advocate the citizens to adopt a low-carbon lifestyle, and the concept of low-carbon environmental protection will be deeply rooted in the hearts of the people. This study will provide suggestions and theoretical guidance for China's energy consumption and carbon emissions, and help achieve high-quality growth of China and even the world economy.

Impacts of the pilot policy for carbon emissions trading on pollution reduction in China

Global environmental problems are worsening. Among various regulatory measures, market-oriented approaches are most favored by governments worldwide. Using provincial panel data from 2004 to 2020, a multi-period DID model was hereby constructed to empirically study the pollution reduction effects of the pilot policy for carbon emissions trading in China. Findings of this paper could be listed as follows: (1) The pilot policy has achieved notable reductions in waste gas and solid waste, although its effect on wastewater pollutants has been less pronounced; (2) Pollution reduction in the pilot regions can be achieved by optimizing the energy consumption structure; (3) Significant variations in pollution reduction effects are observed between the Northern and Southern pilot regions, with notably stronger policy effects in the north across various pollutants compared to the south. Overall, this paper offers pertinent policy recommendations to aid the Chinese government in enhancing its carbon market.

Regional policy options for carbon peaking in the Yangtze River Delta under uncertainty

The Yangtze River Delta (YRD) region plays a crucial role in achieving China's carbon peaking goal. However, due to uncertainties surrounding future economic growth, energy consumption, energy structure, and population, the attainment of carbon peaking in this region remains uncertain. To address this issue, this study utilized the generalized Divisia index method to analyze the driving factors of carbon emissions, including economy, energy, investment, and population. Subsequently, Monte Carlo simulations were combined with scenario analysis to dynamically explore the peak path of regional heterogeneity in the YRD from 2022 to 2035 under uncertain conditions. The findings highlighted that economic uncertainty has the most significant impact on carbon emissions. Furthermore, reducing energy intensity and promoting the transformation of the energy consumption structure contribute to carbon reduction. The study also revealed that the carbon peak in the YRD exhibits regional heterogeneity. According to the baseline scenario, carbon emissions in the YRD will not peak before 2035. However, under the low-carbon development scenario, the carbon emissions of Zhejiang and Shanghai will peak before 2030. Moreover, under the enhanced emission reduction (EE) scenario, carbon emissions in Jiangsu, Zhejiang, and Shanghai will peak before 2025, while Anhui will reach its peak before 2030. Collectively, the entire YRD region is forecasted to attain a carbon emissions peak of 2.29 billion tons by 2025 under the EE scenario. This study provides valuable insights into the carbon emission trajectories of the YRD region under uncertain conditions. The findings can be instrumental in formulating carbon peaking policies that account for regional heterogeneity.

Investigating the driving factors of carbon emissions in China's transportation industry from a structural adjustment perspective

Promoting the transport industry to achieve a carbon peak and controlling carbon emissions in various regions of China through structural adjustment are important means to significantly reduce CO2 emissions. To explore the drivers of carbon emissions from China's transportation sector from 2006 to 2021. And constructs the IPAT-S (IPAT model considering structural adjustment) model, the structural equation is combined to explore the carbon emission reduction path of China's transportation industry from the perspective of structural adjustment. The results show that the structural adjustment is beneficial to alleviate the pressure of emission reduction, carbon emissions from the national transportation sector show a pattern of “low in the north and high in the south”, with the trend gradually shifting to the central region, and the spatial structural effect on carbon emissions has been significantly strengthened, the industrial structure, energy structure and transportation structure still contribute to the carbon emissions of the transportation industry. From the regional level, there are some differences in the impact of structural adjustment on carbon emission reduction in different regions, but optimizing the energy structure will be conducive to carbon emission reduction. In the case of the Northeast region, the energy consumption structure, industrial structure, and transportation structure do not inhibit carbon emissions, and the structural emission reduction in the Central region has begun to bear fruit. The structural adjustment in the eastern and western regions has yet to be improved, which will also provide the government with policy recommendations for structural emission reduction based on regional differentiation.

Does Expenditure Structure Affect Rural Poverty Alleviation in Indonesia? The Role of Village Fund Management

This study aimed to explore public financial management at the village level and identify the types of village fund expenditures that had the most significant relationship in reducing short-term rural poverty in Indonesia. Using the 2019-2021 panel data and the fixed effect method, the authors analyzed the relationship between the five types of village fund spending on poverty in 49,192 village units. The estimation results showed that spending merely on village development negatively and significantly affected the number of low-income rural families in Indonesia. Meanwhile, spending on disaster management, emergencies, and village urgency indicated a positive and significant relationship with the number of low-income families in the village. It implies that the government should focus on spending programs and activities that create job opportunities and increase income for rural poverty reduction. The government also needs to improve data related to uniformity and validity in measuring, recording, and reporting data in ministries, institutions, and regional governments. Thus, in allocating village funds, the government must expand the formula allocation so that village funds can significantly reduce rural poverty.

A Study on the Impact of the Scale and Structure of China's fiscal expenditure on people's Livelihood

As a public finance model with Chinese characteristics, people's livelihood finance is rooted in China's current national conditions and development stage. This concept marks a major shift in China's development strategy, from a single fo cus on economic construction in the past to a comprehensive development model that attaches equal importance to economic growth and people's well being. This change not only reflects the country's great attention to people's livelihood issues, but also indicates that China's economy and society are moving towards a new stage that pays more attention to people's livelihood. However, translating ideas into concrete policies and practices does not happen overnight, and requires time to settle and co ntinuous explorati on. Therefore, the key to the construction of people's livelihood finance is to reasonably determine and optimize the scale and structure of financial expenditure in the field of people's livelihood. This paper aims to deeply analyze the current sit uation of China's fiscal expenditure investment in the field of people's livelihood, explore its development trend through empirical an alysis, and reveal the existing problems. Specifically, this paper first makes a quantitative analysis of the scale of China's f iscal livelihood expenditure to reveal its changing trend over time. Then, we will further explore the changes in the expenditure structure, i ncluding the proportion and distribution of investment in key livelihood areas such as education, health care and social security. On this basis, this paper will reveal the existing problems of the current financial expenditure on people's livelihood. In order to deeply analyze the reasons behind these problems, this paper will further explore the main factors that le ad to the scale and structure of fiscal expenditure on people's livelihood. These factors may include unclear policy guidance, imperfect fisc al system, and imperfect supervision mechanism. Through the in depth analysis of these reasons, this paper aims to provide targeted optimization suggestions for the construction of livelihood finance.