발간물
ODA 정책연구
This study examines Indian household consumption and financial behaviors using data from the Consumer Pyramids Household Survey (CPHS), focusing on how spending patterns and financial strategies evolve in response to economic conditions, demographic factors, and forecasting errors.
Chapter 2 analyzes household consumption patterns, revealing that food accounts for nearly half of total expenditures, emphasizing its critical role in household budgets and food security. Non-food consumption is more dynamic, with significant shifts during the COVID-19 pandemic. Spending on non-essential categories like entertainment and dining declined, while healthcare saw a modest increase. Education and healthcare remain smaller components of spending, reflecting budgetary constraints, particularly among lower-income households where post-pandemic financial pressures further limited these expenditures.
The chapter also highlights regional and demographic disparities. Rural households allocate a larger share of their budgets to food, reflecting subsistence needs, while urban households spend more on non-food items due to higher incomes and market access. Female-dominated households allocate slightly more to health and education, suggesting a prioritization of family welfare and human capital investment influenced by socio-cultural factors. These findings underscore the need for targeted policies to address disparities in essential spending areas like health and education.
Chapter 3 explores how forecasting errors—discrepancies between expected and actual financial outcomes—shape household financial decisions, including consumption, savings, and borrowing. Households with optimistic errors increase non-food consumption while reducing savings, particularly in liquid assets like fixed deposits, favoring immediate consumption. Conversely, pessimistic households reduce spending on non-essential services while increasing savings across all asset types as a precaution against economic uncertainty.
Urban households with optimistic errors show stronger tendencies to reduce formal savings and increase spending on food and services. Rural households with pessimistic errors prioritize informal savings mechanisms but reduce food expenditure more significantly. Post-COVID trends reveal that pessimistic households intensified precautionary savings across all asset types while reducing debt exposure, reflecting heightened economic caution.
Borrowing behavior also varies with forecasting errors. Optimistic households favor informal borrowing channels like shop-based credit, especially among low-income groups with limited access to formal financial institutions. Pessimistic households broadly reduce debt exposure across both formal and informal sources, with this effect being more pronounced in rural areas. Post-COVID analysis shows that the cautious approach tied to pessimistic errors has intensified, while the impact of optimistic errors on borrowing has diminished. Overall, this study highlights how Indian households adapt their financial strategies based on economic conditions and sentiment-driven forecasting errors. It underscores significant regional and demographic variations in these behaviors, emphasizing the need for targeted policy interventions to promote balanced growth in essential areas like health and education while enhancing financial resilience across household segments. These insights are critical for designing policies that address disparities and foster stability in the face of economic uncertainty.
Chapter 2 analyzes household consumption patterns, revealing that food accounts for nearly half of total expenditures, emphasizing its critical role in household budgets and food security. Non-food consumption is more dynamic, with significant shifts during the COVID-19 pandemic. Spending on non-essential categories like entertainment and dining declined, while healthcare saw a modest increase. Education and healthcare remain smaller components of spending, reflecting budgetary constraints, particularly among lower-income households where post-pandemic financial pressures further limited these expenditures.
The chapter also highlights regional and demographic disparities. Rural households allocate a larger share of their budgets to food, reflecting subsistence needs, while urban households spend more on non-food items due to higher incomes and market access. Female-dominated households allocate slightly more to health and education, suggesting a prioritization of family welfare and human capital investment influenced by socio-cultural factors. These findings underscore the need for targeted policies to address disparities in essential spending areas like health and education.
Chapter 3 explores how forecasting errors—discrepancies between expected and actual financial outcomes—shape household financial decisions, including consumption, savings, and borrowing. Households with optimistic errors increase non-food consumption while reducing savings, particularly in liquid assets like fixed deposits, favoring immediate consumption. Conversely, pessimistic households reduce spending on non-essential services while increasing savings across all asset types as a precaution against economic uncertainty.
Urban households with optimistic errors show stronger tendencies to reduce formal savings and increase spending on food and services. Rural households with pessimistic errors prioritize informal savings mechanisms but reduce food expenditure more significantly. Post-COVID trends reveal that pessimistic households intensified precautionary savings across all asset types while reducing debt exposure, reflecting heightened economic caution.
Borrowing behavior also varies with forecasting errors. Optimistic households favor informal borrowing channels like shop-based credit, especially among low-income groups with limited access to formal financial institutions. Pessimistic households broadly reduce debt exposure across both formal and informal sources, with this effect being more pronounced in rural areas. Post-COVID analysis shows that the cautious approach tied to pessimistic errors has intensified, while the impact of optimistic errors on borrowing has diminished. Overall, this study highlights how Indian households adapt their financial strategies based on economic conditions and sentiment-driven forecasting errors. It underscores significant regional and demographic variations in these behaviors, emphasizing the need for targeted policy interventions to promote balanced growth in essential areas like health and education while enhancing financial resilience across household segments. These insights are critical for designing policies that address disparities and foster stability in the face of economic uncertainty.
Executive Summary
Chapter Ⅰ. Introduction
1.1 Background
1.2 Literature Review
1.3 Data
1.4 Structure of the Report
Chapter II. Consumer Behavior in India
2.1 Consumption patterns in India
2.2 Household Financial Portfolio in India
Chapter III. Optimism and Consumer Behavior
3.1 Introduction
3.2 Estimation Strategy
3.3 Household Consumption and Saving in India in Relation to the Direction of Forecasting Error
3.4 Category 2 Consumption Expenditures Relative to Income
3.5 Food Subcategories
3.6 Saving Rate
3.7 Household Financial Portfolio
3.8 Conclusion of Chapter 3
Chapter IV. Conclusion
4.1 Summary of the Research
4.2 Discussion
References
Appendix Tables: Household consumption by region and gender
Chapter Ⅰ. Introduction
1.1 Background
1.2 Literature Review
1.3 Data
1.4 Structure of the Report
Chapter II. Consumer Behavior in India
2.1 Consumption patterns in India
2.2 Household Financial Portfolio in India
Chapter III. Optimism and Consumer Behavior
3.1 Introduction
3.2 Estimation Strategy
3.3 Household Consumption and Saving in India in Relation to the Direction of Forecasting Error
3.4 Category 2 Consumption Expenditures Relative to Income
3.5 Food Subcategories
3.6 Saving Rate
3.7 Household Financial Portfolio
3.8 Conclusion of Chapter 3
Chapter IV. Conclusion
4.1 Summary of the Research
4.2 Discussion
References
Appendix Tables: Household consumption by region and gender
판매정보
| 분량/크기 | 127 |
|---|---|
| 판매가격 | 7,000 원 |
같은 주제의 보고서
연구자료
유럽의 첨단산업 지원 현황과 정책 시사점
2025-10-28
연구자료
북유럽 및 발트 3국의 탈러시아 경제 정책 성과 및 전망
2025-09-18
연구자료
중국의 핵심광물 공급망 강화 전략과 시사점
2025-08-14
연구보고서
한·일 국교정상화 60년과 미래비전 2050
2025-08-29
중국종합연구
대전환기의 대중국 전략 연구2
2024-12-31
중국종합연구
대전환기의 대중국 전략 연구1
2024-12-31
세계지역전략연구
인도의 인프라 정책 및 수요 분석과 한·인도 협력방안: 개발협력을 중심으로
2024-12-31
연구자료
홍해 위기가 우리 경제에 미친 영향과 물류 회랑 다변화에의 시사점
2025-05-27
기타
2024 KIEP 정책연구 브리핑
2025-04-30
기본연구보고서
일본의 핵심광물자원 확보전략과 한ㆍ일 협력 시사점
2024-12-31
기본연구보고서
한-아프리카 자원 협력을 통한 핵심광물 확보 전략
2024-12-30
중장기통상전략연구
인도의 데이터 거버넌스 분석과 한·인도 협력에 대한 시사점
2024-12-31
기본연구보고서
우크라이나 전쟁 이후 중앙아시아 글로벌 가치사슬 변화 전망과 한-중앙아 협력 시사점
2024-12-30
기본연구보고서
한국의 대중남미 통상환경 평가와 정책 과제
2024-12-30
세계지역전략연구
Strengthening Korea’s Economic and Development Cooperation with Africa: Focusing on Key Agendas of the 2024 Korea-Africa Summit
2024-12-31
기본연구보고서
걸프 국가의 아시아 중시 정책과 한국의 대응방안
2024-12-30
기본연구보고서
인도의 국영기업 주도 경제개발전략과 한국-인도 협력 방안
2024-12-31
세계지역전략연구
Exploring Urban Perception on Climate Change in Developing Countries
2024-08-29
기타
2023 KIEP 정책연구 브리핑
2024-06-28
기본연구보고서
대러 경제 제재가 러시아 경제에 미치는 영향과 한-러 경제협력 안정화 방안
2023-12-29
공공저작물 자유이용허락 표시기준 (공공누리, KOGL) 제4유형
대외경제정책연구원의 본 공공저작물은 "공공누리 제4유형 : 출처표시 + 상업적 금지 + 변경금지” 조건에 따라 이용할 수 있습니다. 저작권정책 참조
콘텐츠 만족도 조사
이 페이지에서 제공하는 정보에 대하여 만족하십니까?
