GDP Growth Research Articles

The Relationship between Tourism, Financial Development and Economic Growth in MP

Tourism and economic growth in India from 1960 to 2014 are examined in this research, takinginto account the relative importance of financial development in that time period. It has been shown thatboth the long-term and short-term development of India's economy is enhanced by inbound tourism. Alsofound is a long-term one-way Granger causality between tourism and economic development.Furthermore, the outcomes of the Granger causality test indicated a one-way association between twovariables ranging from GDP growth to tourist development. The findings support the rise of economicdriventourism in MP.

Directions for Effective Use of Modern Marketing Research in Increasing the Export of Leguminous Products

This paper explores the pivotal role of modern marketing research methodologies in augmenting the export potential of leguminous products. In a global marketplace, the demand for legumes continues to rise, creating an opportune moment for exporters. However, realizing this potential necessitates a nuanced understanding of market dynamics, consumer preferences, and effective marketing strategies. The paper begins by delineating the current landscape of leguminous product exports, highlighting the challenges faced by exporters in penetrating diverse international markets. It then delves into the multifaceted benefits of employing modern marketing research techniques, emphasizing their role in identifying target markets, understanding consumer behavior, and crafting tailored marketing campaigns. Moreover, the research delineates various modern marketing research methodologies, including data analytics, consumer surveys, and trend analysis, elucidating their practical applications in the leguminous export industry. By integrating these methodologies, exporters can gain insights into market trends, competitive positioning, and consumer perceptions, enabling them to develop innovative strategies for market expansion. Furthermore, the paper offers a strategic framework for the effective utilization of modern marketing research in the context of leguminous exports. It emphasizes the significance of data-driven decision-making, adaptive marketing strategies, and agile market responsiveness. In conclusion, this paper underscores the indispensable role of modern marketing research in enhancing the export prospects of leguminous products. By leveraging these methodologies effectively, exporters can navigate the complexities of global markets, capitalize on emerging trends, and foster sustained growth in the leguminous product export industry.

Growth of Horticultural Export Market: The implication of Post-harvest Handling Practices among Small Scale Farmers in South Rift, Kenya

The inclusion of rural smallholder farmers in the export of horticultural products has two major implications: increased household income through access to a promising global market and enhanced productivity, cumulatively contributing to the growth of Gross Domestic Product (GDP) and foreign exchange. Currently, there are an estimated 2,500 smallholder farmers participating in horticultural exports South Rift of Kenya. Consequently, this study aimed to investigate the relationship between post-harvest handling practices by smallholder farmers and the growth of the horticultural export market. Quantitative data were collected using a structured questionnaire from a sample of 334 small-scale horticultural farmers, randomly selected for the study. Validity and reliability tests were conducted prior to the main study. Descriptive statistics and simple linear regression were employed to analyze the data. Post-harvest handling practices were assessed through the utilization of packaging materials, storage facilities, energy supply, hygiene, and transportation facilities. The findings indicated a statistically significant relationship between post-harvest handling practices and the growth of horticultural export markets. However, deficiencies were observed among small-scale farmers in South Rift, Kenya, in managing horticultural products after harvest. The study recommended for strategic interventions for the adoption of modern technologies in every stage of the supply chain and establishes collaborations with key stakeholders in order to minimize cost of investment per farmer and ultimately enhancing market standards compliance and competitiveness in the fruit and vegetable export market. Keywords: Post harvest, storage, packaging, Hygiene, Export, Markets

Utilization of Quality Organic Fertilizer at P4S Sari Sedana, Badung, Bali

This Community Partnership Program (CSP) conducted in Desa Selat, Kecamatan Abiansemal, Kabupaten Badung, has achieved significant advancements in organic agricultural development. The program focused on the implementation of both hard and soft technologies. Hard technologies included the development of high-quality organic fertilizers using local waste materials such as livestock manure, biochar, Trichoderma, NPK fertilizers, and dolomite, processed with simple equipment. These innovations addressed local waste management issues and enhanced agricultural productivity. Soft technologies involved comprehensive training on production management, business operations, and marketing strategies, which empowered the P4S Sari Sedana Group with essential skills for sustainable operation. The program demonstrated high relevance to local needs, effectively transforming waste into valuable resources and introducing environmentally friendly production methods. It also fostered active community participation and generated substantial environmental and economic benefits, including increased soil fertility and reduced reliance on chemical fertilizers. The project produced several key outputs: high-quality organic fertilizer, enhanced community skills, scientific publications, intellectual property registration, and online media coverage. Future sustainability will be supported through institutional capacity building, market expansion, product innovation, and ongoing monitoring and evaluation.

Strategi Pemasaran dalam Meningkatkan Penjualan pada UMKM Zuana Rasa

Zuana Rasa's income experiences increases and decreases or fluctuates. This fluctuating income is caused by the lack of implementing appropriate marketing strategies at Zuana Rasa. In order to increase her income, Zuana Rasa must have the right strategy. Zuana Rasa can determine the right marketing strategy by using SWOT analysis so that internal and external factors can be identified which are strengths, weaknesses, opportunities and threats. Therefore, a SWOT analysis is really needed to reduce the obstacles that occur by using the opportunities that exist at Zuana Rasa. The aim of this research is to analyze Zuana Rasa's strengths and weaknesses, so that it can identify opportunities and avoid threats from other competitors. This research uses SWOT analysis with qualitative descriptive research methods. Research data was obtained from primary and secondary data. The results of the research show that the Zuana Rasa Store is in quadrant I supporting an aggressive strategy with an environmental opportunity value of 1.4 and internal strength of 1.8, so the strategy that must be implemented is market growth, market development, product development and market penetration through innovation and development products, promotional development and implementing integrated strategies.

Exploring the Influence of Export Environment on Market Standard Dimensions and Horticultural Market Growth in South Rift, Kenya

The inclusion of rural smallholder farmers in the export of horticultural products has two major implications: increased household income through a promising global market, which is a catalyst for productivity, cumulatively growing Gross Domestic Product (GDP) and foreign exchange. So far, there are an estimated 2500 smallholder farmers who participate in the export of horticulture in Kenya. As a result, the current study sought to establish the influence of export environment on the relationship between market standard dimensions and export market growth of the horticultural products from small scale farmers in south rift of Kenya. The study collected quantitative data using a structured questionnaire from a sample of 334 small-scale horticultural farmers who were randomly selected. Validity and reliability tests were performed before the main study. Then, descriptive and multiple regression was used to analyze the data. Export environment was measured through: government support and services for export, government regulations and certifications and trade agreements and market access. Findings indicated that there was a statistically significant influence relationship between market standard dimensions and the growth of horticultural export market, where export environment on each predictor variable had the highest influence on market dynamics, followed by quality control, traceability and post-harvest handling practices being the least. This implies that the export environment plays a critical role in making the smallholder farmers’ products more competitive in export market. The study concluded that, appropriate policies, regulations and trade agreements were critical in market standards compliance. The government should create a framework to effectively disseminate information on trade agreements so as to benefit farmers and in addition establish collaboration between farmers, the government and private sector in export intervention measures. Keywords: Export, Horticulture, quality, Post-harvest, Traceability, Market

Monetary and fiscal policy impacts under alternative trilemma regimes

Using a new set of trilemma indexes for exchange rate stability, financial market openness, and monetary policy independence, this paper first locates more than one hundred economies in the trilemma triangle over time. Second, the paper depicts individual economies’ trilemma regimes, defined by combinations of the three indexes, in the global map. Third, the paper tests econometrically the impact of monetary and fiscal policies on key macroeconomic variables (i.e., the real GDP growth rate gap, inflation, and their variability/volatility) under alternative trilemma regimes. Fourth, it examines the roles of trilemma regimes in influencing the macroeconomic variables. Econometric analysis uses a sample of 61 emerging market & developing economies over the period 1971–2020. The two-stage least squares estimation results largely support the Mundell-Fleming predictions made for three “corner” regimes. Monetary policy is effective in raising the real GDP growth rate gap and its variability under the “flexible exchange rate” corner regime, but not under the “financially open fixed rate” regime. Monetary policy is most effective in stimulating inflation and inflation volatility under the “flexible rate” regime. Fiscal policy has a positive impact on the GDP growth rate gap under the “flexible rate” regime and positive impacts on inflation and variability/volatility measures under the “financially closed fixed rate” regime, while it has no such impact under the “financially open fixed rate” regime, a somewhat surprising finding. The “financially open fixed rate” regime has a role of achieving price stability in a financially open economy.

Time management as the growth factor of small manufacturing enterprises

The article deals with small manufacturing enterprises as a point of an industry economic growth which potentially outpaces the average growth rate of the industry and the GDP growth rate that makes it possible to increase the share of gross production product in the general structure of small business of Russia. As one of the reserves of growth of such enterprises the author presents implementation of corporate time management technologies which allow the administration of the enterprises to increase the time for solving the tasks facilitating the economic growth: working with the major clients and contracts, searching for new financial sources, introduction of new capacities, development of new products, formation and development of new management teams. The author suggests the structure of a corporate time management standard which regulates the issues of managing meetings, calendars, operational tasks, work communications. The article contains description of the method of implementation of corporate time management at the example of a small manufacturing enterprise of the instrumentation industry.

Strengthening the supply chain of bamboo resources in Bukidnon, Philippines

This research note focuses on strengthening the supply chain of bamboo resources in Bukidnon, emphasizing the identified key players and their respective roles. Bamboo is a valuable and sustainable resource with significant economic, social, and environmental benefits. However, the existing supply chain in Bukidnon faces challenges such as inadequate infrastructure, limited value addition, and a lack of market linkages. This study outlines key strategies and interventions to address these challenges and promote a vibrant bamboo industry. The methods involve a comprehensive analysis of the current state of the bamboo supply chain in Bukidnon, including a review of existing literature, consultations with industry experts, and case studies from successful bamboo industries in other provinces. The study recommends several strategies for strengthening the bamboo supply chain. First, enhancing bamboo production through sustainable cultivation practices, providing technical assistance to farmers, and adopting modern techniques are crucial. Second, promoting responsible harvesting practices and regrowth management through training programs can ensure the long-term sustainability of bamboo resources. Third, improving processing and value addition by investing in modern facilities and equipment can enhance competitiveness and quality. Lastly, establishing effective market linkages through trade fairs, networking events, and online marketplaces will connect producers with buyers, foster collaboration, and open up new market opportunities. The study concludes that a strengthened supply chain will contribute to economic growth, enhance the competitiveness of Bukidnon's bamboo industry, and generate higher economic returns. Moreover, establishing effective market linkages will facilitate knowledge sharing and collaboration, leading to domestic and international market expansion.

Exchange Rate Volatility and Foreign Remittances in SAARC Countries

This study explores the relationship between exchange rate volatility and foreign remittances on the economies of SAARC countries over the period 2000 to 2023. With the ongoing debate among policymakers and researchers on this subject, the study employs the Cross-Sectional Autoregressive Distributed Lag (CS-ARDL) model to analyze data from eight SAARC nations. The variables considered include remittances, foreign reserves, trade, foreign direct investment (FDI), political stability, and GDP growth, sourced from the World Development Indicators (WDI), while exchange rate volatility is calculated using the GARCH method. The analysis involves two models. In the first model, remittances serve as the dependent variable, with exchange rate volatility, GDP growth, trade, inflation, and political stability as independent variables. In the second model, exchange rate volatility is the dependent variable, with remittances, GDP growth, trade, inflation, foreign reserves, and FDI as the independent variables. The results indicate both long-run and short-run relationships between exchange rate volatility and foreign remittances in SAARC countries. The findings show that remittances are positively associated with GDP growth and inflation, while exchange rate volatility, trade, and political stability have negative relationships with remittances. Additionally, exchange rate volatility has a positive association with inflation, while GDP growth, remittances, trade, FDI, and foreign reserves exhibit negative associations with exchange rate volatility. Granger causality tests reveal complex bidirectional and unidirectional causal relationships among the variables. These insights offer valuable implications for policymakers aiming to manage exchange rate volatility and enhance remittance inflows in the SAARC region.

Beyond tradition: charting a greener future for cassava starch industry using multi-criteria decision-making

Cassava, a staple food crop, is widely used for starch production, but its inconsistent supply, price volatility, and substantial waste generation pose challenges to the cassava industrial market's growth. This study aims to identify a sustainable biorefinery pathway by optimizing conventional cassava starch plants (business-as-usual, BAU) for economic and environmental benefits. Four scenarios were evaluated: animal feed from peel waste (Scenario 1), fungal protein from thippi waste (Scenario 2), fish feed from digested wastewater (Scenario 3), and conversion of all waste streams into animal feed, fish feed, and fungal protein (Scenario 4). Scenario 4 emerged as the best pathway using the multi-criteria decision-making (MCDM) approach, with a performance score of 0.282. Despite the highest energy consumption (18.91 MWh), Scenario 4 was favored for producing four value-added products alongside starch, yielding the highest profit at USD 8.85 million. In contrast, profits for BAU, Scenario 1, Scenario 2, and Scenario 3 were 1.91, 2.30, 5.01, and USD 8.79 million, respectively. Waste valorization in Scenarios 1, 2, 3, and 4 resulted in CO2 avoidance of 36.5., 42.6., 21.7, and 57.45 t CO2eq., respectively. However, producing value-added products increased energy consumption by 13, 73, 7, and 74% compared to BAU (4.58 MWh). The global warming potential analysis showed negative values for scenarios 2 and 4, at -436 and -434 kg CO2eq./t root, respectively. This study highlights the potential of a biorefinery approach for sustainable cassava starch production, providing insights for future research and policy development.

Synergistic Development Pathways for National Parks and Local Regions: Shared Socioeconomic Pathway Scenario Forecasting and Optimization

National parks play a crucial role in protecting ecosystems and biodiversity while facing challenges in balancing nature conservation and economic development. However, because of the difficulty in the unified simulation of natural protection functions and regional socioeconomic development, there is a lack of integrated prediction research on the comprehensive development pathways of national parks and their surrounding areas. This study adopts the Shared Socioeconomic Pathway (SSP) framework that links climate change research with socioeconomic development paths, taking China’s first national park—Sanjiangyuan National Park—region as an example, to conduct research on the synergistic development path of regional socioeconomic development and national parks. The model design includes five typical paths to cover a wide range of socioeconomic development possibilities. These paths are based on different assumptions, including factors such as population growth, economic development, energy use, technological progress, and policy choices. By applying scenario planning methods, optimal development pathways are identified based on environmental, economic, and social priorities. The results show that GDP growth is fastest under the sustainable development and fossil fuel development pathways. By 2050, the population difference under different pathways will approach 100,000, and the GDP gap will be close to CNY 200 billion. This study provides valuable insights for the planning, decision-making, and management of Sanjiangyuan and similar national parks and their surrounding areas, contributing to the promotion of sustainable ecological and economic development of national parks and their regions.

A Study on the Phenomenon of Conspicuous Consumption in South Korea’s Luxury Market Under Economic Uncertainty

This paper investigates the phenomenon of conspicuous consumption in South Korea’s luxury market under conditions of economic uncertainty. While traditional economic theories suggest that luxury spending should decrease during periods of financial instability, the South Korean market demonstrates a contrasting trend, where luxury consumption not only persists but often intensifies. Through qualitative interviews with consumers, industry experts, and market analysts, this study explores the cultural, social, and psychological factors driving this behavior. The findings reveal that social status, identity, and emotional coping mechanisms play crucial roles in sustaining luxury consumption, even amidst economic downturns. Furthermore, the influence of K-Culture and social media amplifies the desire for luxury goods, especially among younger consumers. The study also highlights the complex interplay between economic variables, such as GDP growth, unemployment rates, and consumer confidence, and their impact on luxury spending patterns. This paper contributes to a deeper understanding of the unique dynamics at play in the South Korean luxury market and offers insights for luxury brands, marketers, and policymakers to develop effective strategies in this rapidly evolving environment.

Strategic Dynamics and Growth Opportunities in the Ready-to-Eat Food Industry: A Comprehensive Analysis of “Wei Zhi Xiang”

The comprehensive study on the ready-to-eat (RTE) food industry elucidates the strategic dynamics and growth avenues, focusing on the Chinese brand "Wei Zhi Xiang." It scrutinizes the industry's evolution, driven by cultural and social shifts towards convenience and nutrition-conscious consumption. The analysis navigates through the intricacies of market trends, consumer behaviors, and technological advancements that have catalyzed the proliferation of RTE foods. A particular emphasis is placed on the escalating demand for products that blend convenience with nutritional value, highlighting the industry's response to the modern consumer's fast-paced lifestyle. Through a detailed market analysis, the report dissects the competitive landscape, identifying key players and their strategic maneuvers within the industry. The future outlook section anticipates continued growth, propelled by urbanization and the burgeoning single-person household trend. A SWOT analysis of "Wei Zhi Xiang" reveals strengths in product diversity and distribution, while also pinpointing areas for improvement, particularly in health perception and environmental sustainability of packaging. Strategic recommendations for "Wei Zhi Xiang" suggest a focus on product innovation tailored to health trends, eco-friendly packaging, and market expansion into emerging economies. The report concludes that leveraging technological advancements and consumer engagement can fortify "Wei Zhi Xiang’s" market position and drive the RTE food sector towards a sustainable and health-conscious future.

Application of handheld near infrared spectrometer in quality control of traditional Chinese medicine: Rapid screening and quantitative analysis of Lonicerae Japonicae Flos adulteration

Traditional Chinese medicine (TCM) prescription, with its intricate formulations and nuanced compositions, is a cornerstone of holistic health practices. However, the expansion of the TCM market has led to a surge in herb adulteration, which significantly undermines the quality and safety of these medicinal products. A case in point is Lonicerae Japonicae Flos (LJF), a widely utilized herb for treating colds, which has been adulterated by the cheaper Lonicerae Flos (LF), thereby affecting its therapeutic effectiveness. Therefore, a method utilizing handheld NIR spectroscopy combined with chemometrics has been developed to provide a portable, real-time solution for the rapid and accurate detection and quantification of adulterants in TCM. By collecting NIR spectra from LJF, LF and adulterated samples (AS), we’ve established a spectral database enabling deep insights into the correlation between spectral features and sample compositions. Resultantly, a classification model with a 99.58 % cross-validation accuracy, reaching 100 % for test set, effectively identified adulterants. And further spectral similarity analysis and classification identification of samples with different adulteration ratios were carried out. The cross-validation accuracy under the optimal model reached 98.38 %, and the test set accuracy was 99.20 %. In addition, the study extends to quantifying different levels of adulteration, employing 20 standard adulterated samples across a 0–100 % adulteration gradient. Via data preprocessing, feature extraction, and regression techniques, the full concentration prediction models were developed, later refined by segmenting samples based on high and low adulteration ratios. Under the SGFD_CARS_PLS (Savitzky-Golay smoothing with the first derivative_competitive adaptive reweighted sampling_partial least squares) model, exceptional performance was achieved, with a R2p of 0.983, RMSEp of 3.402, and RPDp of 7.757 for the homemade adulterated prediction set. In conclusion, the application of this technology not only improves the efficiency and accuracy of screening, but also has the advantages of low cost, easy operation and rapid results compared with traditional chemical analysis methods. It effectively protects the safety of drugs for consumers, maintains the integrity of the TCM market, and provides a strong technical support for the on-site rapid detection of TCM.

Comparative Study of Management Information Systems in Cement Companies in Southeast Nigeria, South Sulawesi, Kenya

This study explores the impact of Management Information Systems (MIS) and technological innovations on the performance of cement manufacturing firms in Southeast Nigeria, South Sulawesi, and Kenya. This study examines the use of management information systems in the cement industries of Southeast Nigeria, South Sulawesi, and Kenya using a literature review methodology. Through a comprehensive literature review of three key journals, the findings reveal a significant positive correlation between the use of decision support systems, transaction processing systems, and executive support systems, and the enhancement of corporate performance. In Southeast Nigeria, these systems increased firm performance by 0.321, 0.496, and 0.501 respectively. Impact of information technology on agency capacity in the cement industry in South Sulawesi. The effect of information technology on body skills is 0.267 and p-value 0.025, it has a significant effect on the statement, which proves that information technology has a direct effect on the body. They have the ability to support movement. In Kenya, the adoption of strategic and technological innovations notably improved sales volumes, operational efficiency, and cost reduction, with a mean aggregate score of 4.12 from surveyed department heads. The findings underscore the importance of strategic innovations tailored to specific industry needs and the necessity of training programs to equip employees with essential technical skills. This research provides actionable insights for cement firms aiming to enhance their competitive edge and achieve sustainable growth in a dynamic global market.

A Financial Analysis and Valuation of Diamondback Energy

Because of the importance of its products and huge value, the oil and gas industry itself occupies an important position in the national economic system. However, the development of this industry is unbalanced and insufficient, with large differences in market size, liquidity, solvency, profitability, valuation, and growth potential, and few companies have achieved good performance in all of these dimensions. This study delves into the unbalanced development and varied performance metrics among key petrochemical companies listed in the U.S. stock market, utilizing both fundamental analysis and non-financial analysis method, as well as to conduct a specific study on the competitive situation of Diamondback Energy. This study has elucidated that Diamondback Energy lags behind its peers in terms of liquidity and solvency. However, it is worth noting that despite macroeconomic challenges such as economic downturns and industry-wide downturns, its profitability remains relatively strong within the industry. Additionally, it holds a certain advantage over its peers in terms of financial valuation and growth potential, making it a growth-oriented enterprise. The study suggests that investors should consider market volatility and the company's management risk when entering the oil and gas industry in order to maximize returns.

STATE AND PROSPECTS OF WIND ENERGY AS A FACTOR OF UKRAINE’S ECONOMIC DEVELOPMENT

The purpose of the research was to study and systematize the economic, ecological and technological advantages and disadvantages of wind energy and the conditions, opportunities and problems of its development in Ukraine as a factor of the country’s economic development in the conditions of war. The methodology of the conducted research is based on the application of the descriptive-analytical method in the process of studying the phenomena and processes, that are taking place in the energy base of the countries of the world and, in particular, in Ukraine, which is combined with the organic synthesis of the results obtained due to the application of the descriptive-analytical method of the results, their systematization and generalization, as well as with the comparative method, which turned out to be particularly suitable in the process of analyzing the trends in the development of wind energy in Ukraine. It is established that wind power has significant technological, economic and environmental advantages over other branches of renewable energy, but it also has certain disadvantages. The comparative analysis showed that the total assessment of the advantages of wind energy is much higher than the total assessment of its disadvantages, which, by the way, decreases over time as the relevant technologies progress. The rate of wind energy development in the pre-war period in Ukraine was also quite high, and even during the war, it continued to develop. Ukraine is intensively rebuilding destroyed wind energy facilities, actively building a network of new wind power plants on controlled territories, as there is an understanding of the need to start rebuilding the economy without waiting for victory, and that it should start with wind power, which can significantly reduce and eliminate the energy deficit in the country relatively quickly. The main factors that will influence the scenario of liquidation of the consequences of russian military aggression in the wind energy industry of Ukraine and its post-war reconstruction are the time and conditions of the end of the war, the pace of recovery, and forecasting indicators of GDP growth, the rate and completeness of market integration with the EU, the quality of the state support for wind energy in terms of creating favorable economic conditions for it, since favorable natural conditions for the development of wind power industry in Ukraine are objectively available.

THE DIGITAL ENTERPRISE LANDSCAP: HOW DESI METRICS SHAPE ECONOMIC GROWTH IN THE EU

The European Union’s (EU) economic growth is increasingly driven by digitalization across all areas, including the digital transformation of businesses. This paper explores how the digital transformation of enterprises could influence economic growth in the EU by analyzing data from the Digital Economy and Society Index (DESI) and economic metrics from Eurostat for the post-pandemic period (2021-2022). This paper uses econometric techniques like Panel Corrected Standard Errors (PCSEs) and Robust Regression with Huber Iteration (RRHI) to investigate the cause-and-effect relationships between digitalization and economic factors such as GDP growth rate and real GDP per capita growth. The results show that different digital strategies have varying effects on economic performance. The paper also emphasizes the critical role of real labor productivity in connecting digital transformation with economic performance. The implications of this paper highlight the need for nuanced policy strategies that foster digital skills, improve technological infrastructure and support the Small and Medium Enterprises (SMEs) in their digitalization efforts in order to achieve the ambitious objectives of the EUs Digital Decade. The results also propose a strategic focus on specific technologies that offer immediate economic advantages and enable a stronger incorporation of digital progress across various business operations in the member states.

Multi-factor fuzzy sets decision system forecasting consumer insolvency risk

The objective of this study is to develop a multi-factor decision system predicting insolvency risk for natural persons with the use of fuzzy sets. Considering that the financial situation of households is affected by various endogenous and exogenous factors, the main assumption of this study is that the system for predicting financial difficulties should not be limited to the use of only a few financial variables concerning consumers, but also include variables describing the environment. The author proposes a system consisting of three different forecasting models that connect the macroeconomic and microeconomic environments. It monitors the economic situation of households by also identifying those environmental variables, which may directly, or indirectly, endanger the consumer, such as unemployment rate (job market situation), inflation and interest rates, exchange rates, or economic situation in the country (GDP growth rate, the dynamics of retail sales, etc.). Moreover, the created cause-and-effect tool is in the form of a flexible application that can be easily adapted to changing economic conditions. Another unique feature of the study is the proposed use of newly developed ratios in household finance, similar to that in financial ratio analysis, which is commonly used in corporate finance. The proposed ratios demonstrated high predictive abilities. The paper also identifies the predictive capabilities of selected macroeconomic variables from the perspective of their impact on the risk of consumer insolvency. The research relies on four samples consisting of a total of 2400 consumers from Taiwan and Poland. The author created three forecasting models separately for the South-East Asian and Central European regions, and two multi-factor systems, each consisting of 1260 decision rules. The findings clearly showed that fuzzy logic is a significantly more effective method compared to traditional models based on classical logic.