Indicators Of Economic Activity Research Articles

Информационно-аналитические аспекты обеспечения количественной и качественной характеристики деятельности организаций аграрной сферы в ходе межотраслевых отношений

The modern agricultural economy is going through a qualitatively new stage of development, due to the formation of information and analytical systems to improve the quality of operational work, ensure accounting operations and evaluate the performance of organizations. The domestic agricultural sector, striving to achieve sustainable development goals, is exposed to threats and risks from the global information space. At the epicenter of the most important challenges are sectors of the economy, on the one hand, responsible for food security, and on the other, for the conservation of natural resources. Integrating elements of information and communication technologies during the implementation of inter-industry relations makes it possible to reduce losses of production resources and create a system of transparency in the movement of products from the manufacturer to the end consumer. The authors characterize the main current information and analytical systems, which include not only performance indicators of production, economic and management activities of organizations in the agricultural sector, but also reflect their industry specifics.

Information warfare: Analyzing COVID-19 news and its economic fallout in the US

By separating the ‘good news’ from the ‘bad news,’ we analyze the asymmetric effects of the infodemic and market emotions on the US weekly economic activity index (WEI) during COVID-19. The ‘hot stove effect’ and complicated, asymmetric, and time-varying coherence structures are present when we use the nonlinear autoregressive distributed lag and wavelet coherence methods. Our findings contrast existing literature based on the pandemic’s symmetric impacts, which claim that the economy was negatively affected by non-pharmaceutical actions and that the severity of COVID-19 was the cause of the negative economic and financial shocks. We also discovered that while ‘good news’ has strong and favorable effects on WEI, ‘bad news’ has little to no impact. Furthermore, policymakers react to ‘bad news’ more slowly than they do to ‘good news.’ Therefore, to affect the representative agent’s behavior and ensure an effective response to pandemic occurrences, policymakers should distinguish between deterioration (bad news) and improvements (good news) in shocks.

Early Warning Systems for World Energy Crises

Different severe energy crisis episodes have occurred in the world in the last five decades. Energy crises lead to the deterioration of international relations, economic crises, changes in monetary systems, and social problems in countries. This paper aims to show the essential determinants of energy crises by developing a binary logit model that estimates the predictive ability of thirteen indicators in a sample that covers the period from January 1973 to December 2022. The empirical results show that the energy crises are mainly due to energy supply–demand imbalances (petroleum stocks, fossil energy production–consumption imbalances, and changes in energy imports by countries), energy investments (oil and natural gas drilling activities), economic and financial disruptions (inflation, dollar indices, and indices of global real economic activity) and geopolitical risks. Additionally, the model is capable of accurately predicting world energy crisis events with a 99% probability.

Засоби розміщення мігрантів: досвід Польщі

The social properties of the hotel business are objectively determined by the course of phenomena and processes that reflect, on the one hand, the relevance of the increase in the economic activity of the social component, which is focused on the social needs of the consumer, and on the other hand, the strengthening of the importance of the social factor in the conditions of humanitarian crises. The trigger that led to the growth of the social function of the hotel business was the full-scale invasion of Russian troops into Ukraine, which caused a wave of migration of the Ukrainian population. In these conditions, the Polish hotel business imple­mented the function of social responsibility towards Ukrainian refugees, offering temporary shelter and organizing needs. The research aim of this paper is to analyze the role of hotels in the direction of Ukrainian refugees support during 2022. General scientific and special methods of cognition were applied: abstract-logical and comparison; analysis and synthesis, analogies, questionnaires; theoretical generalization and formulation of conclusions. The obtained results of the research on the peculiarities of providing temporary accommodation and food services to refugees indicate that the satisfaction of their primary needs intensified the determination of the importance of the social functions of the hotel business in the conditions of humanitarian crises. It has been proven that it is expedient to include informational and social services (assistance in employment) in the structure of hotel services. It has been established that the needs and expectations of refugees will require the hotel business to develop a certain algorithm of actions to attract external funding, which is a factor in ensuring (growth) of revenue and the ability of hotels to increase the amount of support to refugees without reducing key indicators of economic activity. The relevance of the topic of gender is confirmed by the coverage of the issue of providing guarantees to the hotel business by the United Nations Refugee Agency in order to create proper conditions for refugees in the conditions of military conflicts. Support for migrants is, on the one hand, "search for sources of funding" and, on the other, "assis­tance in the integration process." The article describes the areas of support offered by hotels to refugees seeking temporary shelter in Poland. Taking into account the experience of the social activities of Polish hotels will allow to increase the level of social responsibility of national hotel chains, gives them the opportunity to be involved in the decision-making process that will restore the hotel business in Ukraine.

The role of spillovers when evaluating regional development interventions: evidence from administrative upgrading in China

Direct effects of regional development interventions on targeted areas may be amplified by positive spillovers from elsewhere or offset by negative spillovers. Yet spillovers are often ignored in the applied literature, where impact analyses based on difference-in-differences typically treat spatial units as independent of their neighbours. We study spatial spillovers from a popular regional development intervention in China—converting counties to cities. China’s top-down approach lets only central government bestow city status on an area, with over ten percent of counties upgraded to cities in the last two decades. A growing literature estimates impacts of these conversions, with spatial units typically treated as independent of their neighbours. In contrast, our spatial econometric models use a 20-year panel for almost 2500 county-level units to allow indirect spillover effects on indicators of local economic activity. The positive direct effects on GDP and luminosity of a county being upgraded are amplified through positive indirect effects, especially in the eastern regions of China where economic activity and population are more densely concentrated. The models without spatial lags that ignore spillovers give estimated effects of converting counties to cities that are only two-fifths to two-thirds as large as the estimated effects coming from the spatial models.

Economic principles of small and medium-sized enterprise development in Ukraine in times of war

The article examines the definition of the concepts of "small and medium-sized enterprises," the essence, significance, reasons for the economic downturn, and the insignificant improvement in the indicators of economic development of these entities in the country. Attention is drawn to the fact that these economic entities are important components of the country's economic potential in market relations. Emphasis is placed on the peculiarities of business development in the conditions of a pandemic and wartime in Ukraine. The method of distinguishing small and medium-sized enterprises among micro and large enterprises in the economic system of Ukraine is investigated. A comparative analysis of the indicators of economic activity of active small and medium-sized enterprises in recent years is conducted. Some perennial problems of the economic development of SMEs are outlined, and new main challenges and problems of SME development associated with Russia's full-scale invasion of Ukraine are identified. Some positive shifts in the economic activities of small and medium-sized enterprises during the war in Ukraine and prospects for the post-war period are revealed. The authors formulate proposals for stabilizing and gradually increasing the potential of enterprises and the development of SMEs in the economy of the country, which is at war with the russian aggressor on the territory of Ukraine.

Monitoring Indicators of Economic Activities in Sudan Amidst Ongoing Conflict Using Satellite Data

ABSTRACT Political tensions in Sudan between the Sudanese Armed Forces (SAF) and Rapid Support Forces (RSF) escalated into an armed conflict on 15 April 2023, and continues to unfold to date. Besides the severe humanitarian catastrophe, the war disrupted access to basic public services and constrained access to markets and continued to trigger considerable scarcity of life-saving goods and services. In this paper, we utilize satellite data (nitrogen dioxide (NO2) concentration and nightlight intensity) and spatial mapping tools to provide a swift analysis of how the conflict has changed the patterns on economic activity, which are bound to have severe implications on food security in Sudan. We show that immediately after the outbreak of the armed conflict, NO2 concentration and nightlight intensity reduced in those areas affected by the conflict while remaining stable in those areas not directly affected by the conflict. We also demonstrate how these types of remote sensing and remote data collection methods can be deployed to monitor economic activities amidst armed conflicts and similar abrupt crises and guide economic, development and environmental policies.

The Federal Reserve’s responses to the post-Covid period of high inflation

In the face of the COVID-19 pandemic in March 2020, the Federal Reserve committed to using its full range of tools to support the U.S. economy. Over the next year and a half, with progress on vaccinations and strong policy support, indicators of economic activity and employment strengthened while inflation moved higher. Faced with a tight labor market and elevated inflation, the Federal Open Market Committee (FOMC) began a process of unwinding the very accommodative stance of monetary policy and moving to a restrictive policy stance to address inflation pressures. Here we review the sequence of actions taken by the Committee between late 2020 and mid-2023 as well as discuss some issues it contemplated along the way; the table provides a chronological list of key events over this period.

On the Asymmetric Relation between Inflation and Growth in Mexico: A NARDL Approach

The effects of various geopolitical tensions, conflicts between countries and the global post-pandemic COVID-19 have caused an acceleration in the price level in many countries around the world. This research focuses on Mexico since its monetary policy has created intricate interactions between inflation and growth in the short and long term, maintaining recently one of the highest real interest rates in Latin America (on average 5.75% vs. the US 2.3%). This paper examines the asymmetric link between the National Consumer Price Index and the Global Economic Activity Index in Mexico during the period 1994–2023. To do this, a Nonlinear Autoregressive Distributed Delay (NARDL) model is used with monthly data, which will allow the relationship between both variables to be more adequately investigated. The main empirical finding is that upward or downward shocks to the consumer price index have caused different effects in magnitude and sign on economic growth over time. Finally, several reasonable, practical, and feasible recommendations are provided for the design of the monetary policy considering non-linear effects.

Economic analysis and control of crisis phenomena in the activities of enterprises

The article analyzes the essence of crisis phenomena and the causes of their occurrence in the activity of the enterprise. In the activity of anyone enterprise there are quite a few reasons that can lead to a crisis situation, in the scientific literature there are external and internal factors that can cause a crisis situation that have a mutual impact. The emergence of crisis situations in the enterprise is an inevitable stage in the life cycle. In order to avoid excessively negative consequences of the crisis, the company needs to carry out early diagnosis of the possibility of crisis situations and, if necessary, to introduce a set of measures aimed at preventing or countering the crisis. In order to early detection of a crisis situation or the probability of its occurrence, it is necessary to systematically diagnose the financial security of the enterprise, which involves the implementation of express diagnostics, complex analysis and fundamental diagnostics. The article provides an indicative list of indicators for the implementation of express diagnostics of the financial and economic state of the enterprise, including: indicators of own sources of formation of financial resources and financial stability; indicators of liquidity and payment and settlement discipline; indicators of the state of fixed assets; performance indicators of economic activity and management of the enterprise. The list of these indicators is not exhaustive, because in each case the specifics of the industry, the market and the enterprise itself should be taken into account. Three main stages of the crisis development at the enterprise are considered: hidden crisis (efficiency crisis, strategy crisis), solvency crisis (performance crisis), threat of bankruptcy (liquidity crisis). The main manifestations of crisis situations at the enterprise at each stage and the main mistakes that management makes in an attempt to counteract the crisis are determined. The main tools for the development and application of anti-crisis measures have been identified. At any stage of the crisis, subject to the introduction of an effective marketing strategy, effective tools of crisis management and the sufficiency of financial resources, it is possible to restore the normal rhythm of the enterprise and strengthen market positions. The experience of well-known companies that have received a useful effect from the crisis situation is considered. The effectiveness of the anti-crisis management system at the enterprise is achieved subject to the flexibility and adaptability of the management mechanism, the ability to diversify and rapid situational response, the ability to effectively use the potential of the enterprise and the introduction of informal management methods. The article considers tendencies of development of Ukrainian enterprises in conditions of crisis caused by the war. In the context of economic sectors, the main obstacles in the development of enterprises are outlined. The analysis of dynamics of development of the existing business and the beginning of a new one (by sectors of the economy and by regions) is carried out.

FORMATION OF PRODUCT ASSORTMENT OF RETAIL ENTERPRISES

The article examines the peculiarities of the formation of the product range of retail trade. An optimal product range was formed in order to increase consumer loyalty to the company's products. In the article have been defined that in the direction to ensure consumer loyalty to the company, first of all, the optimal assortment should be formed and, accordingly, the formation of goods should be carried out. Namely, the application of the integrated ABC/FMR analysis of the product range allows you to classify product stocks according to the criteria of "profitability of product sales" and "level of demand», and will contribute to the formation of an optimal product range which helps to ensure the rhythmic work of the trading company and serves as the basis for achieving the target indicators of economic activity. The application of the integrated ABC/FMR analysis of the product range made it possible to classify the product stocks according to such criteria as: "profitability of product sales" and "level of demand", which, thereby, will contribute to the formation of the optimal product range, ensuring a high level of efficiency of the trading enterprise. The proposed approach to structuring the product range, which is based on the results ofккня ABC/FMR analysis, makes it possible to classify the entire set of product units in the selected product line into nine subgroups. It also has been identified that in sales management, the "degree of demand" of a product or the requests frequency for certain groups of products serves as an important criterion for positioning product groups in the marketing strategy of management (the slogan "we have them all"). In goods management, FMR analysis is used to determine the location of goods storage, so the most frequently requested ("fast" - fast) positions are located closer to the assembly areas.

БЕНЧМАРКІНГ ЯК МЕТОД ДЛЯ ПОКРАЩЕННЯ ДІЯЛЬНОСТІ ПІДПРИЄМСТВА

The article emphasizes the importance of improving management processes at the enterprise, using new approaches. Emphasis is placed on the need to master benchmarking technologies and their effective use. It is highlighted that the assessment of the firm's competitive status is formed by determining the level of the firm's strategic potential at each stage of its life cycle of competitive advantage. It is emphasized that at the current stage there is no consensus on the definition of the essence of benchmarking. Various definitions of the term "benchmarking" have been proposed. The statements of both domestic and foreign scientists are analyzed. A proper statement of the term "benchmarking" is proposed and its optimal meaning is determined. The main purpose and goals of benchmarking are highlighted and it is emphasized that the objects of benchmarking can be methods, processes, technologies, quality parameters of products,and indicators of financial and economic activity of the enterprise. The importance of taking into account the main principles of benchmarking, which determine its effectiveness, is emphasized. The main principles of benchmarking are proposed and the interpretation by the authors is analyzed. The main stages of benchmarking are highlighted and the interpretation of the stages by scientists is given. It is emphasized that conducting a benchmarking comparison requires focusing on key indicators of competitiveness. It is important to note that the benchmarking approach can be applied both independently and with the participation of a team of consultants. The positive consequences of the application of benchmarking are business improvement, awareness of the comparative state of the enterprise, obtaining a strategic advantage, and increasing the level of organizational knowledge. It is emphasized in the conclusions that benchmarking, as a tool, allows you to compare performance indicators and identify the strengths and weaknesses of the enterprise. In the perspective of further research, the introduction of practical application of benchmarking is envisaged in order to increase the effectiveness and logic of business processes and increase competitiveness.

Relationship of Payment Statistics and Sector-Wise Gross Value Added in the Indian Economy: A Regression Analysis Approach

Purpose: To explore the impact of payment statistics on sector-wise gross value added (GVA) in the Indian economy.   Theoretical framework: Payment statistics are a measure of the volume and value of payments made in an economy. They are an important indicator of economic activity, as they reflect the flow of goods and services between buyers and sellers. GVA is a measure of the total value of goods and services produced in an economy, after subtracting the cost of intermediate inputs.   Design/Methodology/Approach: The study uses regression analysis to examine the relationship between payment statistics and sector-wise GVA in India from 2011 to 2022. Findings: The study finds that payment statistics exhibit a significant influence on major sector-wise GVA during the specified period.   Originality/Value: The study contributes to the literature by providing empirical evidence on the relationship between payment statistics and sector-wise GVA in India.

Constructing high frequency economic indicators by imputation

Summary Monthly and weekly economic indicators are often taken to be the largest common factor estimated from high and low frequency data, either separately or jointly. To incorporate mixed frequency information without directly modelling them, we target a low frequency diffusion index that is already available, and treat high frequency values as missing. We impute these values using multiple factors estimated from the high frequency data. In the empirical examples considered, static matrix completion that does not account for serial correlation in the idiosyncratic errors yields imprecise estimates of the missing values irrespective of how the factors are estimated. Single equation and systems-based dynamic procedures that account for serial correlation yield imputed values that are closer to the observed low frequency ones. This is the case in the counterfactual exercise that imputes the monthly values of consumer sentiment series before 1978 when the data was released only on a quarterly basis. This is also the case for a weekly version of the Chicago Fed National Activity Index of economic activity that is imputed using seasonally unadjusted data. The imputed series reveals episodes of increased variability of weekly economic information that are masked by the monthly data, notably around the 2014–2015 collapse in oil prices.

Providing software support for economic analysis

Today, modern software and hardware of information technologies are used to automate production processes, starting from modeling of technical developments and automated computer systems. This study is aimed at describing the process of implementing software support for economic analysis of the enterprise, which will calculate the main economic indicators and informatively display the calculated data. The object of the study is an automated system for calculating and maintaining the main economic indicators of the enterprise. The subject of research is methods of database design and development, data visualization and web applications. A review of literature sources allowed to conclude that most often to assess the economic performance of the enterprise, standard technologies are used, which the authors adapt to specific economic problems. In addition, the analysis of modern research has not identified a single software product that would collect, accumulate, analyze information and calculate the main indicators of economic activity of the enterprise, as well as monitor changes in such indicators in the dynamics. Automation of calculation of economic indicators, statistical analysis and visualization of data gives the chance to carry out effective management of the enterprise in modern economic conditions. The developed system allows to analyze the use of fixed assets; working capital analysis; analysis of the use of labor resources; profitability analysis; analysis of financial stability of enterprises. The paper shows the process of developing a functional model of a web application for the automated calculation of key economic indicators, and presents the advantages and disadvantages of working with the PostgreSQL database management system. The structure of the developed database, which consists of four tables, is given. An example of the work of the developed web application is presented.

ACCOUNTING AND INFORMATION FEATURES OF THE GLOBAL MARKETING ECOSYSTEMS’ ACTIVITIES

Goal. To analyze and summarize the peculiarities of the activities of business entities that are representatives of different jurisdictions and are components of the general global marketing ecosystem that provides services of an advertising nature for the promotion of products (goods, works, services), in the context of the influence of such peculiarities on approaches to determining the main financial and economic indicators of activity and accounting processes and processes of formation of various types of reporting in such an ecosystem. Method. Methods of studying and summarizing information, methods of system analysis, synthesis, and generalization were used for the research. The results. The article examines the peculiarities of the accounting and regulatory nature of the activities of global marketing ecosystems and their components, which, most often, have different jurisdictions for the implementation of their business and economic activities, in the context of determining the main financial and economic indicators of their activities and the formation of various forms of reporting (accounting, financial, tax, management). Scientific novelty. The generalized stages of a methodical approach to the creation (improvement) of information and analytical support for the task of assessing financial and economic indicators of global marketing ecosystems have been defined. Practical value. Taking into account the accounting features identified based on the analysis of the implementation of global marketing ecosystems’ activities will allow the formation of specific practical recommendations for improving approaches to automating accounting processes within such an ecosystem.

THE The Influence of Capital, Labor and Length of Business on Traders' Income in the Beringkit Animal Market Badung Regency

he current development of the Indonesian economy can be measured by the development of trade centers. The existence of a trade center is one of the most obvious indicators of community economic activity in a region. In terms of economic interests, the increasing number of trade centers, both traditional and modern, encourages the creation of job opportunities for many people. Starting from the services of security forces, shopkeepers, delivery people, cleaning services, to transportation services. This means that the presence of a trade center participates in alleviating the problem of poverty. This research uses quantitative research methods and statistical analysis, especially analysis of numbers and statistical analysis with the aim of confirming previously established hypotheses. Multiple linear regression method, partial test and simultaneous F test. Based on the SPSS calculation results, results were obtained 1). The income of traders at the Beringkit animal market in Badung Regency is partly positively and significantly influenced by capital, labor, but not significantly by the length of business. 2) The income of traders at the Beringkit animal market in Badung Regency is also simultaneously influenced positively and significantly by capital, labor and length of businesshe current development of the Indonesian economy can be measured by the development of trade centers. The existence of a trade center is one of the most obvious indicators of community economic activity in a region. In terms of economic interests, the increasing number of trade centers, both traditional and modern, encourages the creation of job opportunities for many people. Starting from the services of security forces, shopkeepers, delivery people, cleaning services, to transportation services. This means that the presence of a trade center participates in alleviating the problem of poverty. This research uses quantitative research methods and statistical analysis, especially analysis of numbers and statistical analysis with the aim of confirming previously established hypotheses. Multiple linear regression method, partial test and simultaneous F test. Based on the SPSS calculation results, results were obtained 1). The income of traders at the Beringkit animal market in Badung Regency is partly positively and significantly influenced by capital, labor, but not significantly by the length of business. 2) The income of traders at the Beringkit animal market in Badung Regency is also simultaneously influenced positively and significantly by capital, labor and length of business

Assessment of open-pit captive limestone mining areas using sentinel-2 imagery with spectral indices and machine learning algorithms

Limestone mining is a significant economic activity in India, accounting for around 10% of the GDP however, it has certain negative environmental consequences. The objective of this study is to determine the spatial distribution area of captive limestone mines using remote sensing datasets, spectral index, and machine learning algorithms and compare their area estimation with industrial field survey reports for the financial year 2019. The study area includes a limestone resource area of 2226.16 ha with an excavation area of 487.10 ha in 2019. In the present research, we used a high-resolution Sentinel-2A satellite dataset to map and compute the active mining area by implementing the Normalised Vegetation Index (NDVI), Iterative Self-Organizing Data Analysis Technique (ISODATA), K-Nearest Neighbours (KNN), and Random Forest (RF) algorithms in the QGIS 3.18 software tool. The RF classifier estimated a limestone mine area of 379.57 ha with user accuracy (UA) of 97.25% and producer accuracy (PA) of 99.18% with a kappa coefficient value of 0.957. The mine area was estimated at 417.47 ha with a UA of 98.99% and PA of 99.10% and kappa value of 0.947 of the KNN method, The NDVI method estimated 469.92 ha with a UA of 93.63% and PA of 92.04% and kappa value 0.685. This research confirmed that the RF classifier well performed in classification with overall accuracy (OA) of 95.79% to KNN (OA of 94.78%), NDVI (OA of 79.84%) classifiers, and ISODATA poor in classification with OA of 64.16%. This research assists limestone mine owners and environmental engineers in making environmentally sustainable decisions, eco-friendly mine design, and monitoring.

Индексный подход к сравнительной оценке устойчивости сельского хозяйства субъекта федерального округа

Abstract. The development of agriculture and food security are becoming global today. The domestic agro-industrial complex actually ensures stability, balance of economies and well-being of people on all continents. Therefore, in the conditions of increasing crisis phenomena in the economy, the importance of a comprehensive analysis of the sustainability of the industry's development increases, which should be based on an assessment of the state and trends of changes in natural resource potential, on the study of effective indicators of economic activity and on the development of the main directions and measures to increase its level in the future. The solution of this problem is also relevant for the North Caucasus Federal District, which is a large agricultural region. In this regard, the purpose of this study is to give a comparative assessment of the sustainability of agriculture and to establish the significance of the main factors determining its level in the context of the subjects of the North Caucasus Federal District. The research methodology included the use of various methods of economic-mathematical, statistical, index and other methods. Scientific novelty. For the first time, in relation to regional peculiarities, priority factors providing an increase in the sustainability and efficiency of agricultural production for the subjects of the North Caucasus Federal District are justified on the basis of the index system. The results of the research have shown that the indicators included in the industry efficiency index have the greatest negative impact on the sustainability of agricultural production in most subjects of the district. At the same time, in the Stavropol Krai, these are the values that form the index of natural and climatic conditions. Nevertheless, the integrated indicator of agricultural sustainability of the region (2,216) significantly exceeds the corresponding indicators of all subjects of the district. The analysis of the level of the final comprehensive indicator of agricultural sustainability on average for 2018–2021 made it possible to eventually group the subjects of the NCFD into three blocks according to the degree of sustainability, identify systemic problems of the industry in each and suggest some ways to solve them.

Australia’s Black Summer wildfires recovery: A difference-in-differences analysis using nightlights

This study examines how communities of New South Wales (NSW), Australia, recovered from the extreme wildfire event of 2019–2020 (i.e., the Black Summer fires). Using monthly night-time radiance as an indicator of economic activity in a geographic area (i.e., a mesh block) from January 2017 to June 2021, I conducted a spatio-temporal and socio-economic analysis of economic recovery after the 2019–2020 wildfires using the difference-in-differences method. This is the first study to examine the intersectional role of space with time and socio-economic characteristics for extreme wildfire recovery. The findings reveal that wildfire-affected locations had about 0.038σ and 0.026σ lower night-time radiance in major cities and rural hinterlands (i.e., inner regions), respectively, than the unaffected areas. These numbers translate to approximately 30% reduction in economic activities in both areas. The findings remain consistent when using Facebook’s movement range data. The pace of recovery varied spatially across time and socio-economic groups. In rural hinterlands of NSW, wildfire-affected communities, both poor and non-poor, followed a slower recovery trajectory than wildfire-affected city dwellers. In major cities, the economic recovery of poor communities lagged behind non-poor communities. Accounting for such spatial, temporal and socio-economic heterogeneity in the natural hazard recovery process can support the design of equitable wildfire risk reduction and management strategies and programs. If unaddressed, gaps in wildfire recovery can increase location and economic group specific vulnerabilities to future wildfires. Note that nightlights are not a good proxy for economic activity in heavily forested remote and rural areas; thus limiting the application of the use of high frequency satellite data for wildfire recovery analysis only in major cities and rural hinterlands.