To see the other types of publications on this topic, follow the link: Determinants of household savings.
Journal articles on the topic 'Determinants of household savings'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Determinants of household savings.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Ruranga, Charles, and Scott Hacker. "The Determinants of Households Having Savings Accounts in Rwanda." Rwanda Journal of Social Sciences, Humanities and Business 1, no. 1 (August 5, 2020): 6–19. http://dx.doi.org/10.4314/rjsshb.v1i1.2.
Full textAbstract:
This paper analyses the determinants of Rwandan households having savings accounts using Integrated Household Living Conditions Survey (IHLCS) data of 2010/11. After a background discussion and literature review an empirical analysis is presented with different variables adopted and analysed as determinants of household’s head having savings accounts. Poverty level, age, gender, residential area and level education of household head (literate or not) were considered as independent variables of the study. Findings from the estimations of logit models indicate the likelihood of a household having a savings account is positively and significantly related to each of the following: non-poor status of the household,the household residing in an urban area, the household head being male, and the household head being literate. Having the household head be literate tends to be more important for younger household heads and for non-poor households. The proportion of households having money in a savings account more than doubled over the decade between the IHLCS 2000/2001 survey and the IHLCS 2010/2011 survey. Government policies on savings and poverty reduction may explain the trend of increased cash balances in saving accounts.
Key Words: Savings, Bank Accounts, Households, Determinants,
2
Chua, Nina Ellorah A., Shaira Kasey L. Kiong, Kristine Honey M. Villa, and Ronald B. Paguta. "A Tobit Analysis of the Determinants and Potentials of Savings in the Case of Payatas Households." Information Management and Business Review 8, no. 3 (July 31, 2016): 47–57. http://dx.doi.org/10.22610/imbr.v8i3.1331.
Full textAbstract:
This case study aims to identify the factors affecting household savings in the Area B of Payatas, Quezon City. Particularly, the variables included in the analysis are economic expectations, homeownership, household consumption, household debt, household disposable income, and number of dependents in the household. This paper also aims to analyze the saving potentials of households in Payatas. A total of 422 conditionally and randomly selected households were interviewed through a guided survey questionnaire. The researchers utilized Tobit regression and computed for the conditional marginal effects for both the censored and truncated sample. The results of the study were divided into three: Tobit regression results, conditional marginal effects results on all respondents, and the conditional marginal effects results on household savers. Significant variables such as economic expectations and household disposable income were found to be positively related to household savings, and household consumption was negatively related to household savings. This case study shows that Payatas B households do have saving potentials irrespective of their low income showing high request for accessibility on formal saving institutions.
3
Szopiński, Tomasz. "THE DETERMINANTS OF HOUSEHOLD SAVINGS IN POLAND." Acta Scientiarum Polonorum. Oeconomia 16, no. 2 (June 30, 2017): 117–25. http://dx.doi.org/10.22630/aspe.2017.16.2.24.
Full textAbstract:
The relevant literature provides an array of factors determining the propensity of households to save. There is no unanimity among researchers as to the direction of statistical relationships among some variables such as, e.g. household income, the place of residence or concerns regarding the worsening of financial circumstances, and a household’s propensity to save. The aim of this article is to verify the statistical relationships between the amount of savings of Polish households and their attributes, such as: income, biological type of the family, and the size of the place of residence. The author of the article analyses the responses provided by Polish households with regard to the size of their savings measured as a multiple of their income. The data under analysis were collected during a panel study Diagnoza społeczna 2015 (ang. Social Diagnosis 2015). Higher earnings were accompanied by higher levels of savings. It was more common for households from bigger cities to have higher earnings. Taking into consideration the biological type of the family, childless marriages and people, who lived alone, declared having the highest savings.
4
Wierzbicka, Ewa. "DETERMINANTS OF INCREASING HOUSEHOLD SAVINGS IN POLAND." Zeszyty Naukowe Wyższej Szkoły Humanitas Zarządzanie 19, no. 4 (December 31, 2018): 61–77. http://dx.doi.org/10.5604/01.3001.0013.1642.
Full textAbstract:
Research carried out, among others ordered by the Polish Bank Association, indicate untapped potential savings for Polish society. The aim of the article is to present the reasons for a low propensity to save households, as well as to identify factors and motives that decide about saving, and to suggest directions for actions to increase the propensity to save, especially long-term. The author limits her considerations to voluntary savings of households, not responding to the compulsory saving for pension purposes resulting from the social insurance system. Accumulation of savings is of great importance not only at the micro level but also for the entire economy, because it is internal, domestic source of financial capital. Long-term savings, which stabilize the financial system and may have an impact on reducing the costs of servicing public debt and changing its structure, limiting the participation of foreign investors, are particularly important. The greater the propensity to save, the more national resources may beminvested in the polish economy. Moreover, the shortage of domestic savings is not only a serious challenge for bank risk management due to the need to top up the missing domestic capital with foreign funds. The deficiency of domestic savings in relation to the needs of the economy and the state also increases the systemic risk of the national economy and country.
5
A. Burney, Nadeem, and Ashfaque H. Khan. "Socio-economic Characteristics and Household Savings: An Analysis of the Households' Saving Behaviour in Pakistan." Pakistan Development Review 31, no. 1 (March 1, 1992): 31–48. http://dx.doi.org/10.30541/v31i1pp.31-48.
Full textAbstract:
Domestic resource mobilization is one of the key determinants of sustained economic growth. Pakistan's perfonnance with regard to domestic resource mobilization has been poor despite maintaining a respectable economic growth rate. Why is the savings rate so low in Pakistan? In this paper we analyse the household savings behaviour in Pakistan, using micro level data of the Household Income and Expenditure Survey (HIES) for the year 1984-85. Three different non-linear savings functions attributed to Keynes, Klein, and Landau are estimated separately for the urban and the rural households, using the Ordinary Least Squares (OLS) technique. It is found that the average income and saving of an urban household are considerably higher than those of overall Pakistan or a rural household. However, contrary to the general belief, it is found that the propensity to save of the rural households is much higher than that of their urban counterparts. The dependency ratio and the various categories of education are found to have a negative influence on household savings. No systematic relationship is found between savings and the employment status and occupation of the household head. It is found, however, that saving increases with age but tends to decline when the age crosses a certain limit - a finding consistent with the Life Cycle Hypothesis.
6
Zwane, Talent, Lorraine Greyling, and Mokadi Maleka. "The Determinants Of Household Savings In South Africa: A Panel Data Approach." International Business & Economics Research Journal (IBER) 15, no. 4 (June 30, 2016): 209–18. http://dx.doi.org/10.19030/iber.v15i4.9758.
Full textAbstract:
This study employs panel data estimation models to investigate the determinants of household savings in South Africa over the period 2008 – 2012. The novelty of some panel data models is their power to overcome the problems of endogeneity bias, in addition to controlling for unobserved heterogeneity across households. The study used the three waves of the new unique and rich first national representative longitudinal survey, the National Income Dynamics Study (NIDS), which tracks changes in individuals’ livelihoods over time. The distinctiveness of NIDS data is that it is available in a panel format and can be used to investigate the structure and impact of different aspects of socio-economic factors on household savings. The results of this study reveal that household savings in South Africa are strongly driven by income, age structure, education achievement and employment status. Yet the causal nexus between savings and the household size was found to be negative, a sign that larger families compromise households savings prospects.
7
De Vos, Chantel, Lawrence Ogechukwu Obokoh, and Babatunde Abimbola Abiola. "Determinants of savings among non-Ricardian households in South Africa." International Journal of Social Economics 47, no. 11 (October 6, 2020): 1329–43. http://dx.doi.org/10.1108/ijse-11-2019-0692.
Full textAbstract:
PurposeThis paper examines the determinants of savings among low-income households, regarded as non-Ricardian households (NRHs), in South Africa. NRHs comprise low-income households largely depending on government welfare benefits for sustenance. This research investigates socio-economic factors determining savings pattern of low-income households in South Africa.Design/methodology/approachThe research makes use of the National Income Dynamics Study (NIDS) data set wave one to five. The longitudinal survey models are analysed in determining the socio-economic characteristics of NRH in South Africa. The estimators include Pooled ordinary least square (OLS), fixed and random effects methods.FindingsThe household grant contributes positively to the level of savings, but the savings level is still considerably low: majority of the low-income households have zero or negative savings. The average size of a NRH is about twice the size of the Ricardian, despite the NRHs’ debt burden impoverishing them.Research limitations/implicationsThe self-perpetuated poverty problem makes every factor in the vicious cycle both cause and effect of another factor, warranting reverse causality and threatening the reliability of Pooled OLS estimates for the research.Practical implicationsThe growing cost of government grant hinges on the increased level of inflation while largely depending on the number of households entering the low-income threshold.Social implicationsThe study recommends that the government creates a more enabling environment for NRHs to engage in productive activities. Also they create more low-skilled jobs and encourage reduction of birth rate among low-income households; this will reduce their expenditure and increase their level of savings and will assist in pulling them out of the vicious circle of poverty. Government can boost NRHs’ savings through increase in various grants.Originality/valueThe study makes significant contribution towards addressing the unfortunate situation of household savings among low-income brackets in South Africa. The research corroborates other studies on the effectiveness of the fiscal stimulus package to boost the welfare and savings condition of NRHs in South Africa. The result explicitly confirmed the redistribution policy of the grant to the low-income household. The grant has a significant positive effect on the savings pattern of the household. An increase in it beyond the poverty threshold could indeed break the vicious circle of poverty since the effect does not only stop at expenditure but also pass through to savings, which may ultimately boost investment. Further studies should continue the investigation of grant transmission channels to investment and income.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2019-0692
8
Temel Nalın, Halime. "Determinants of household saving and portfolio choice behaviour in Turkey." Acta Oeconomica 63, no. 3 (September 1, 2013): 309–31. http://dx.doi.org/10.1556/aoecon.63.2013.3.3.
Full textAbstract:
This study investigates the determinants of Turkish households’ saving and portfolio choice behaviour for the period of 2002–2006. The dataset includes 59,855 households, of whom only 10,829 report to have saved and invested. Hence, we first estimate a logit model to identify the characteristics of the households that have saved. Next, we estimate a multinomial logit model where the investment alternatives for the households are real estate, gold, foreign exchange, bank accounts, capital market investments, and investing into own business. The factors affecting the portfolio choices are the variables representing various aspects of households’ demographic, socioeconomic and residential location characteristics. The inflation level nearly doubled during the study period in Turkey. Hence, we also analyse the effects of inflation on households’ saving and portfolio choice decisions. The results of our logit model support the view that the inflation can increase the household savings on condition that the other macroeconomic factors are constant. Furthermore, inflation is also found to increase the probability of investing in capital market instruments. Households’ incomes, education levels, occupation, place of residence (rural/urban), car ownership and household size are found to be significant variables in explaining the variation in households’ saving and portfolio choice behaviour.
9
Niculescu-Aron, Ileana, and Constanţa Mihăescu. "Determinants of Household Savings in EU:What Policies for Increasing Savings?" Procedia - Social and Behavioral Sciences 58 (October 2012): 483–92. http://dx.doi.org/10.1016/j.sbspro.2012.09.1025.
Full text
10
Nwosu, Emmanuel O., Charles N. Anumudu, and Chioma E. Nnamchi. "Microeconomic Determinants of Household Savings in Nigeria." Journal of International Development 32, no. 2 (September 3, 2019): 150–67. http://dx.doi.org/10.1002/jid.3440.
Full text
11
KORZENIOWSKA, Anna Magdalena. "INSTITUTIONAL DETERMINANTS OF HOUSEHOLD SAVINGS IN POLAND." Journal of Research in Business 1, no. 4 (July 1, 2019): 55–63. http://dx.doi.org/10.23892/jrb.2019453295.
Full text
12
Zhuk, Mykola. "Macroeconomic Determinants of Household Savings in Ukraine." Economics & Sociology 8, no. 3 (October 20, 2015): 41–54. http://dx.doi.org/10.14254/2071-789x.2015/8-3/3.
Full text
13
Khan, Ashfaque H., Lubna Hasan, and Afla Malik. "Dependency Ratio, Foreign Capital Inflows and the Rate of Savings in Pakistan." Pakistan Development Review 31, no. 4II (December 1, 1992): 843–56. http://dx.doi.org/10.30541/v31i4iipp.843-856.
Full textAbstract:
National savings are critically important to help maintain a higher level of investment which is a key determinant of economic growth. Although savings rates have fallen in many developing countries during the last two decades, Pakistan presents a unique picture of experiencing high rates of economic growth along with very low savings rates. In fact, the national savings rate of Pakistan is not only low compared to that in many countries with per capita income about the same as Pakistan's but it is even lower to that in some South Asian countries with lower per capita income. Pakistan's economic performance during the last three decades has been impressive. Real gross national product (GNP) has grown at an average rate of 6.0 percent per annum since 1960. The national savings rate, on the other hand, has fluctuated around an almost horizontal trend (15 percent) during the same period. Thus, Pakistan's saving performance and its overall economic performance appear to be incongruous. Although the low savings rates have become a major source of concern in recent years, not much attention has been devoted to highlight the key determinants of saving in Pakistan. In recent years, few studies have been done on this issue using both the time-series and cross-section data. Qureshi (1981); Abbot and DeRosa (1984) and Khan (1988) using time-series data have examined various determinants of household/national savings. Qureshi (1981) concentrated on economic determinants and found income and its rate of growth, the rate of return on financial assets and rate of inflation as key factors influencing household savings in Pakistan.
14
Maniriho, Aristide, Edouard Musabanganji, Ferdinand Nkikabahizi, Charles Ruranga, and Philippe Lebailly. "An Analysis of the Determinants of Household Expenditures in Rwanda." ISSUE EIGHT 5, no. 1 (June 30, 2021): 8–17. http://dx.doi.org/10.25079/ukhjss.v5n1y2021.pp8-17.
Full textAbstract:
Economists use two different approaches, unitary and collective, to analyze household decisions. The unitary approach ignores the differences between single-person and multi-person households, whereas the collective approach states that each person in the household must be characterized by specific preferences. The household’s decisions concern mainly the allocation of their income to current consumption or for savings and future consumer expenditures. This study uses the Comprehensive Food Security and Vulnerability Analysis (CFSVA) data collected from a random sample in 2015 in Rwanda. The ordinary least squares (OLS) method was applied to a linear regression model to estimate the household demand functions (total household consumption expenditures, household food consumption expenditures and household nonfood consumption expenditures). The results show that the socioeconomic characteristics of the household, the possession of productive assets and wealth conditions as well as the household locational controls are among the primary drivers of its consumption expenditures. The findings highlight the policy efforts that improve household human capital (education, health), access to and capitalization of productive assets and financial capital, continuous urbanization of rural areas, and sustained provision of quality infrastructure, to achieve high standards of household welfare.
15
Hunt, Ethan, Hyungjoon Jeon, and Sang Lee. "Determinants of Household Savings: An Empirical Evidence from the OECD Member Countries." Business and Economic Research 11, no. 2 (March 24, 2021): 62. http://dx.doi.org/10.5296/ber.v11i2.18369.
Full textAbstract:
Using the data from the 36 OECD member countries over a time period of 1970-2017, we study variations in household saving rate across the countries through the lens of the socio-economic and -demographic shifts over time. In addition to traditional determinants of household saving such as life expectancy, education, average number of children born per woman over a lifetime, and household debts, we examined changes in the socio-economic and -demographic conditions that are conducive to the human capital value of female labor force and thus female employment opportunities. We have identified that the narrower is the gap between genders in higher education attainment and employment, the higher is the household saving rate. Our empirical findings also suggest that both giving childbirth at an old age and preferential income tax rates for households with children are negatively affecting the household saving rate.
16
Simleit, C., G. Keeton, and F. Botha. "The Determinants of Household Savings in South Africa." Studies in Economics and Econometrics 35, no. 3 (December 1, 2011): 1–19. http://dx.doi.org/10.1080/10800379.2011.12097228.
Full text
17
Atamja, Louis, and Sungjoon Yoo. "Credit Constraint and Rural Household Welfare in the Mezam Division of the North-West Region of Cameroon." Sustainability 13, no. 11 (May 25, 2021): 5964. http://dx.doi.org/10.3390/su13115964.
Full textAbstract:
The purpose of this study is to examine the effect of the rural household’s head and household characteristics on credit accessibility. This study also seeks to investigate how credit constraint affects rural household welfare in the Mezam division of the North-West region of Cameroon. Using data from a household survey questionnaire, we found that 36.88% of the households were credit-constrained, while 63.13% were unconstrained. A probit regression model was used to examine the determinants of households’ credit access, while an endogenous switching regression model was used to analyze the impact of credit constraint on household welfare. The results from the probit regression model indicate the importance of the farmer’s or trader’s organization membership, occupation, and savings to the household’s likelihood of being credit-constrained. On the other hand, a prediction from the endogenous switching regression model confirms that households with access to credit have a better standard of welfare than a constrained household. From the results, it is necessary for the government to subsidize microfinance institutions, so that they can take on the risk of offering credit to rural households.
18
Vasseur, Véronique, and Anne-Francoise Marique. "Households’ Willingness to Adopt Technological and Behavioral Energy Savings Measures: An Empirical Study in The Netherlands." Energies 12, no. 22 (November 11, 2019): 4294. http://dx.doi.org/10.3390/en12224294.
Full textAbstract:
The aim of this paper is to investigate households’ willingness to adopt technological and behavioral energy savings measures, in their dwellings and for daily mobility. Based on the evidence that occupants’ behavior has a major impact on energy uses at home and on the road, this paper aims at investigating which determinants influence household preferences for energy-saving measures, both technical as well as behavioral ones, as well as highlighting the key determinants for adopting energy-savings measures, at the household scale. This paper will attempt to shed more light on the factors that may bridge the intention–behavior gap. The analysis is based on an empirical survey carried out in the Netherlands. Main results show that (1) behavioral energy saving measures are more acceptable than technical ones; (2) the adoption of energy savings measures at home is more likely than on the road; (3) there is a relatively small market for technical energy measures, especially through the initial investment and the low return on investment; (4) environmental aspects seem to be more important for relatively expensive technical energy measures; (5) the reason for taking technological energy measures is rather to be found in differences among socio-demographic background than in environmental concerns; and (6) comfort at home and on the road is an important explanatory variable that many respondents used to justify not implementing energy savings measures and should be investigated in further research.
19
Morozko, Nina, Natalia Morozko, and Valentina Didenko. "Determinants of the savings market in Russia." Banks and Bank Systems 13, no. 1 (May 2, 2018): 196–208. http://dx.doi.org/10.21511/bbs.13(1).2018.18.
Full textAbstract:
The main component of the bank’s efficient operations is a sufficient amount of deposit resources. The sharp devaluation of the national currency, the unstable situation of banks, and a significant number of bankruptcies adversely affected the propensity of the subjects to save. In the banking sector, a critical situation has developed when depositors, having lost confidence in banking institutions, began to withdraw money from deposit accounts, and in the crisis, this issue becomes the most important, because the massive withdrawal of deposits significantly worsens the liquidity of banks. With that in mind, the purpose of the article is to consider the main trends and prospects for the savings market development in Russia.The article analyzes the strengths and weaknesses of Russia’s savings market. Using banking statistics, similarities and differences in the savings market are shown, based on determinants such as the share of deposits in bank liabilities; the volume of deposits in national and foreign currencies, the role of leading banks; number of accounts; the volume of guaranteed deposits; and banking conditions. The study focuses on an empirical analysis of the relationship between gross savings and banking variables such as demand deposits, interest spread, and the bank capital to assets ratio. The domestic market of household savings is analyzed. This conclusion is also made visible as a result of the correlation-regression experiment.
20
Endrődi-Kovács, Viktória, Gábor Kutasi, and Tímea Adél Tóth. "A kelet-közép-európai háztartási megtakarításokat és eladósodást meghatározó makrogazdasági tényezők = The determinants of household savings." Köz-gazdaság 16, no. 2 (June 20, 2021): 116–27. http://dx.doi.org/10.14267/retp2021.02.09.
Full textAbstract:
A különböző közgazdasági irányzatok között egységes álláspont, hogy a háztartások megtakarítása a beruházáson keresztül a gazdasági növekedés egyik motorja. Azt illetően azonban, hogy a lakossági megtakarításokat, illetve az eladósodottságot milyen tényezők határozzák meg, éles vita figyelhető meg a szakirodalomban. Amíg például a neoklasszikus közgazdaságtan a kamatlábra helyezi a hangsúlyt, addig a keynesi megközelítés inkább a jövedelemre. A tanulmány a kelet-közép-európai (V4+3) gazdaságok háztartási megtakarítására vonatkozóan végez OLS panelregressziós elemzést. A különböző torzító hatások kiszűrésével beazonosítja azokat a makrogazdasági változókat, amelyek ténylegesen hatnak a háztartási szektor megtakarításaira és eladósodására. Mindebből következtetni lehet a hatékony megtakarítás-ösztönzőkre. = There is a common approach among the various economics schools that households’ savings are an engine of the economic growth by investments. However, a sharp discussion can be observed in the literature about the real determinant factors of household savings and indebtedness. While the neoclassical economics focuses on interest rates among others, the Keynesian approach emphasises rather the role of income. The study performs OLS panel regression analysis about the household savings of Central and Eastern European (V4+3) economies. It identifies the macroeconomic variables that factually affect the households’ savings and indebtedness by filtering the various distorting effects. The results give opportunity to conclude about the effective incentives for savings.
21
Jongwanich, Juthathip. "The determinants of household and private savings in Thailand." Applied Economics 42, no. 8 (March 2010): 965–76. http://dx.doi.org/10.1080/00036840701721067.
Full text
22
Sahoo, Auro Kumar, Bibhuti Bhusan Pradhan, and Naresh Chandra Sahu. "Determinants of Financial Inclusion in Tribal Districts of Odisha: An Empirical Investigation." Social Change 47, no. 1 (February 1, 2017): 45–64. http://dx.doi.org/10.1177/0049085716683072.
Full textAbstract:
The study has tried to investigate the status of the financial inclusion of tribal people in two tribal concentrated districts, namely Bolangir and Mayurbhanj, in the state of Odisha. Field investigations were undertaken to find out the status of financial inclusion in six villages of these two districts where the proportion of the tribal population was larger than that of the total population. Primary data were collected from 300 households by using a semi-open survey schedule. It was found that about 71.7 per cent of households had no savings bank accounts; 70.7 per cent were not involved in self-help group activities and 97.7 per cent did not have post office savings accounts. Additionally, a logit regression model was used to identify the various determinants of financial inclusion of tribal households. The results revealed that years of education attained by the household head, size of private-owned land, total annual income of the household and participation in the Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) were significant determinants for financial inclusion among tribal people.
23
Modisaatsone, Naledi C. "What Drives Private Saving in Botswana?" Journal of Economics and Behavioral Studies 5, no. 9 (September 25, 2013): 603–11. http://dx.doi.org/10.22610/jebs.v5i9.434.
Full textAbstract:
This study examines the determinants of private saving in Botswana for the period covering 19942009. We use quarterly time series data to evaluate the magnitude and direction of the effects of key policy and non-policy variables on private saving. The variables examined are inflation, real interest rates, real gross national disposable income, degree of financial depth and dependency ratio. The dependency ratio is included in order to capture the effect of demographic influence on private savings. The stated determinants of savings are articulated in the context of the life cycle hypothesis. We investigate the short and long run behavior of the variables using an ARDL-ECM. The results suggest that there is a positive relationship between household income and their savings. The dependency ratio exerts a negative impact on private savings which supports the Lifecycle Hypothesis. The results also suggest that financial sector development has induced a positive impact on private savings in Botswana. Interest rates have a positive relationship with private savings; and, lastly, inflation has a negative relationship with private savings. Financial depth and real interest rates are the core policy instruments that the government can use to encourage savings in Botswana.
24
Wołoszyn, Andrzej, and Romana Głowicka-Wołoszyn. "Income and education as determinants of household savings rate in Poland." Zeszyty Naukowe Uniwersytetu Szczecińskiego Finanse, Rynki Finansowe, Ubezpieczenia 2015, no. 74/1 (April 30, 2015): 733–43. http://dx.doi.org/10.18276/frfu.2015.74/1-64.
Full text
25
Samantaraya, Amaresh, and Suresh Kumar Patra. "Determinants of Household Savings in India: An Empirical Analysis Using ARDL Approach." Economics Research International 2014 (July 16, 2014): 1–8. http://dx.doi.org/10.1155/2014/454675.
Full textAbstract:
Indian economy witnessed significant transformations in the postreform period both in terms of change in policy paradigm adopting greater market orientation and overall macroeconomic performance with development of a broad-based financial market and increasing global integration. Guided by the fact that domestic savings play a critical role in augmenting capital accumulation and contributing to achieve and sustain high economic growth, an attempt to review and reassess the role of various factors influencing domestic savings under the changed environment is quite relevant for sustaining the growth momentum. In this backdrop, the present study empirically analyzed the role of various determinants of household savings in India with the latest available data. It employed ARDL approach for this purpose due to its suitability for estimating an equation with a mix of stationary and nonstationary variables of order I(1) and address potential endogeneity problems. The estimated results revealed that GDP, dependency ratio, interest rate, and inflation have statistically significant influence on household savings in India, both in the long run and short run. As regards policy implications, we suggest that ensuring price stability and avoiding any disruption to the growth process will be useful for augmenting savings and sustaining the savings-growth spiral in India.
26
Antwi, Michael, and Clarietta Chagwiza. "Factors influencing savings among land reform beneficiaries in South Africa." International Journal of Social Economics 46, no. 4 (April 8, 2019): 474–84. http://dx.doi.org/10.1108/ijse-06-2018-0309.
Full textAbstract:
Purpose The purpose of this paper is to determine the effects of socio-economic factors of land redistribution for agricultural development project beneficiaries on savings in the North West Province, South Africa. Design/methodology/approach A binary logistic regression model was employed to determine the effects of socio-economic factors of project beneficiaries on their savings. Findings The results show that the average number of trainings attended by the beneficiaries, the proportion of youth per project and the average net farm income of the project positively and significantly influence the level of savings by the beneficiaries. About 62 percent of the beneficiaries did not have savings; thus, only 38 percent of beneficiaries had savings. Of the 38 percent who had savings, the majority (77 percent) had an annual net farm income of less than R1,000. Only 2 percent of the projects had an annual net farm income of more than R10,000. Research limitations/implications The findings of this study are valuable to policymakers dealing with the issue of land reform and could shed some light on how land redistribution can achieve its intended purposes. These findings should be granted serious consideration when formulating policies aimed at improving savings within collective groups. Practical implications The findings of this study have revealed the importance of training and participation of youth in influencing savings. As well, the findings imply that an organization or household with a health income have a higher propensity of saving. Social implications The research findings point out to the importance of saving. With savings, a household is in a better position to deal with situations that arises in case of emergency. Originality/value This paper is among the few studies to analyze the determinants of savings at a group or project level. Most studies are done at household or individual level.
27
Ting, Ling, and Umakrishnan Kollamparambil. "Nature and determinants of household retirement savings behaviour in South Africa." Development Southern Africa 32, no. 6 (September 10, 2015): 675–96. http://dx.doi.org/10.1080/0376835x.2015.1063987.
Full text
28
Qureshi, Sarfraz K., Musleh-ud Din, Ejaz Ghani, and Kalbe Abbas. "Domestic Resource Mobilisation for Development in Pakistan." Pakistan Development Review 36, no. 4II (December 1, 1997): 891–912. http://dx.doi.org/10.30541/v36i4iipp.891-912.
Full textAbstract:
This paper examines the determinants of private, domestic, and household savings in Pakistan. The analysis shows that private savings can be expected to grow gradually as a result of rising per capita income, falling dependency burden, improved financial deepening, and macro stability. Bivariate causality tests between GNP and savings show that GNP causes both domestic and public savings. However, the causality test is inconclusive in the case of causation between GNP and private savings. This finding has important policy implication in the sense that once a virtual cycle succeeds in accelerating growth, saving would catch up with a lag. In this sense, financing of investment is not a major constraint. The paper underlines the following policy options: (i) a strong effort spread over tax policy (tax reforms as well as tax administration), expenditure restraint, effective expenditure management, and public sector corporate reforms should aim at raising public savings to about 6 percent of the GDP; (ii) the incentives for private savings in Pakistan need to be revamped.
29
Mondal, Md Sanaul Haque, Takehiko Murayama, and Shigeo Nishikizawa. "Determinants of Household-Level Coping Strategies and Recoveries from Riverine Flood Disasters: Empirical Evidence from the Right Bank of Teesta River, Bangladesh." Climate 9, no. 1 (December 29, 2020): 4. http://dx.doi.org/10.3390/cli9010004.
Full textAbstract:
Although recurrent floods cause detrimental impact for the people living in riverine floodplains, households are taking up various risks management strategies to deal with them. This paper examined household’s post-disaster coping strategies to respond and recover from riverine floods in 2017. Data were collected through a questionnaire survey from 377 households from the right bank of Teesta River in Bangladesh. Households employed different coping strategies including borrowing money, assets disposal, consumption reduction, temporary migration, and grants from external sources, to cope with flood. Results from logistic regression models suggested that increasing severity of flood reduced households’ consumption. Exposed households were more likely to borrow money. Consumption reduction and temporary migration were mostly adopted by agricultural landless households. Income from nonfarm sources was found to be an important factor influencing household’s decisions on coping. Furthermore, households that recovered from the last flood disaster seek insurance through their own savings and available physical assets, highlighting the role of disaster preparedness in resilient recovery. This study calls for the policy intervention at the household-level to enhance the adaptive capacity of riverine households so that people at risk can cope better and recover from flood disaster using their resources.
30
Hua, Thanh Xuan, and Guido Erreygers. "Applying quantile regression to determine the effects of household characteristics on household saving rates in Vietnam." Journal of Asian Business and Economic Studies 27, no. 2 (December 6, 2019): 175–93. http://dx.doi.org/10.1108/jabes-06-2019-0053.
Full textAbstract:
Purpose The purpose of this paper is to analyse the determinants of the saving behaviour of Vietnamese households and to explore the possible heterogeneity of household saving propensities. Design/methodology/approach The authors estimate the effects of household characteristics on Vietnamese household saving rates by means of a quantile regression approach using the Vietnam Household Living Standard Survey 2010 data set. Findings The results suggest that the way household characteristics influence saving rates is different for each quantile of the household saving rate distribution. Household characteristics tend to have stronger effects at lower quantiles. Particularly, the marginal propensity to save of households at low quantiles is higher than those at high quantiles. Analysing rural and urban households separately, the authors find evidence that household and household head characteristics have stronger significant effects for rural than for urban households. Children and elderly members should be treated as part of the household labour force, instead of household dependency, since both of them increase household saving rates. Originality/value This research contributes to the literature on Vietnamese household saving behaviours, especially for households living in urban areas.
31
FUCHS‐SCHÜNDELN, NICOLA, PAOLO MASELLA, and HANNAH PAULE‐PALUDKIEWICZ. "Cultural Determinants of Household Saving Behavior." Journal of Money, Credit and Banking 52, no. 5 (October 22, 2019): 1035–70. http://dx.doi.org/10.1111/jmcb.12659.
Full text
32
Harris, Mark N., Joanne Loundes, and Elizabeth Webster. "Determinants of Household Saving in Australia." Economic Record 78, no. 241 (June 2002): 207–23. http://dx.doi.org/10.1111/1475-4932.00024.
Full text
33
AGRAWAL, PRADEEP, SAHOO PRAVAKAR, and RANJAN KUMAR DASH. "SAVINGS BEHAVIOR IN INDIA: CO-INTEGRATION AND CAUSALITY EVIDENCE." Singapore Economic Review 55, no. 02 (June 2010): 273–95. http://dx.doi.org/10.1142/s0217590810003717.
Full textAbstract:
This study investigates the determinants of savings behavior in India and the direction of causality between savings and income per capita as these have important implications for development policy. We estimate long-run savings functions for India using modern co-integration procedures. Our empirical results show that higher income per capita and improved access to banking facilities significantly improves savings in India. On the other hand, foreign savings and public savings have negative impact on private and household savings. We also carry out an analysis of the direction of causality between savings and income. The results suggest that there is a one-way causation from income per capita to the savings rate.
34
Nwuba, Chukwuma Christopher, Iche U. Kalu, and John A. Umeh. "Determinants of homeownership affordability in Nigeria’s urban housing markets." International Journal of Housing Markets and Analysis 8, no. 2 (June 1, 2015): 189–206. http://dx.doi.org/10.1108/ijhma-06-2014-0020.
Full textAbstract:
Purpose – This paper aims to investigate homeownership affordability in Nigeria’s urban housing market to establish the determinants of households’ affordability outcomes, and the nature of their impact. Design/methodology/approach – The cross-sectional survey design was adopted. Semi-structured questionnaire was used to collect data from a sample of households selected through a stratified random technique across Kaduna State, the study area. The binary logistic regression was used to model the probability of homeownership affordability as a function of specified explanatory variables. Findings – Household income, savings, construction period and education are determinants of homeownership affordability with positive impact. Conversely, household size, cost of land, building cost inflation, current rental housing expenditures, non-housing expenditures and building cost relative to income are determinants of affordability with negative impact. Practical implications – The findings have the potential to provide a framework for formulation of policy measures to improve access to homeownership. Social implications – Delayed access to homeownership places pressure on the rented sector with the potential for rental housing affordability problems. It is a deferment of the actualisation of a strong aspiration which is detrimental to individual and family well-being and stability. Originality/value – The study extends the housing affordability debate to housing markets operating on informal financing where households build rather than buy their homes, an area hitherto not deeply explored. It provides empirical basis for problem-solving on housing affordability and can be a framework for housing policy reforms in Nigeria.
35
Acwin Dwijendra, Ngakan Ketut, and Ngakan Putu Sueca. "The Determinant Factor of Home Transformation in Bali, Indonesia." Journal of Social Sciences Research, no. 512 (December 25, 2019): 1855–60. http://dx.doi.org/10.32861/jssr.512.1855.1860.
Full textAbstract:
In the context of providing adequate housing, a large number of people in developing countries are transforming their homes. This informal housing provision also occurs in Bali, both in BTN (National Savings Bank) housing and in traditional homes. The purpose of this study was to determine a number of determinant factors of home transformation. To achieve the objectives, this study used a survey research strategy, and two case studies were selected. Using a questionnaire as the main tool, one hundred and sixty-six respondents were interviewed. Logistic regression analysis states that both household and residential characteristics are important determinants of transformation. Two home variables, namely the size of the house and the number of original beds are good predictors. The study also shows that four household characteristics appear to be important, namely total expenditure, number of residents, type of household, and ownership.
36
Garcia, Maria Teresa Medeiros, Pedro Nuno Louro Silvestre Rodrigues, and Francisco Nunes. "Private Saving Determinants in Portugal." Mediterranean Journal of Social Sciences 10, no. 2 (March 1, 2019): 57–68. http://dx.doi.org/10.2478/mjss-2019-0023.
Full textAbstract:
Abstract The combination of projected increases in the expenditure of the public pension scheme and low rates of private saving constitutes a policy challenge in Portugal. Policy debate embrace pension reform and the redoubling of household saving efforts. The purpose of this paper is to revisit the determinants of household saving in order to inform the debate with research findings, employing a constructed public pension wealth variable in a life cycle consumption/saving model pioneered by Feldstein (1974). We use time series techniques and data from 1983 to 2012. The findings show that an increase in the public pension wealth variable does not boost saving suggesting that concerns with saving to cope with the length of the life expectancy at the retirement age are not enough to reject the view that the public pension benefit is a substitute for household wealth. The other results are consistent with expectations: increases in disposable income positively impact saving; there is a significant negative propensity to save out of household wealth increase; and improvement in the government balance engender significant saving decrease.
37
Gupte, Jaideep, Patricia Justino, and Jean-Pierre Tranchant. "Households amid Urban Riots." Journal of Conflict Resolution 58, no. 8 (September 1, 2014): 1445–73. http://dx.doi.org/10.1177/0022002714547886.
Full textAbstract:
This article analyzes the determinants of household riot victimization, based on a unique survey collected in Maharashtra, India. We adopt a multilevel framework that allows neighborhood and district effects to randomly influence household victimization. We find that economically vulnerable households, households living close to unsafe areas, and shop owners are more prone to suffer from riots. Households report lower levels of victimization if they live further from police stations, exhibit higher levels of trust, are able to rely on outside help in times of need and accumulate savings. The results show, however, a double-edge effect of income: wealthier households are better able to cope with the adverse effects of riots, but also have more to lose from riots and are more exposed to opportunistic violence and looting. We find further that affluent neighborhoods and neighborhoods where caste fragmentation is high report higher levels of victimization. Neighborhoods with stronger social interactions experience lower levels of victimization.
38
AIDOO-MENSAH, Daniel. "DETERMINANTS OF RURAL HOUSEHOLD SAVINGS BEHAVIOUR: THE CASE OF TOMATO FARMERS IN GHANA." Review of Agricultural and Applied Economics 22, no. 2 (November 2019): 55–70. http://dx.doi.org/10.15414/raae.2019.22.02.55-70.
Full text
39
Qin, Duo. "Determinants of household savings in China and their role in quasi-money supply1." Economics of Transition 11, no. 3 (September 2003): 513–37. http://dx.doi.org/10.1111/1468-0351.00161.
Full text
40
Grosh, Margaret E., and Paul Glewwe. "Data Watch: The World Bank's Living Standards Measurement Study Household Surveys Margaret E. Grosh and Paul Glewwe." Journal of Economic Perspectives 12, no. 1 (February 1, 1998): 187–96. http://dx.doi.org/10.1257/jep.12.1.187.
Full textAbstract:
Since 1985, the World Bank has been collecting household survey data in developing countries that provide a rich source of information for assessing household welfare, understanding household behavior, and evaluating the impact of government policies. This article describes these household surveys, known as Living Standards Measurement Study (LSMS) surveys, and explains how to obtain their data. LSMS surveys have been implemented in over twenty developing countries and have been used to analyze poverty, labor markets, health and education pricing policies, determinants of school performance, savings and consumption smoothing, health and nutrition policies, and gender and fertility issues.
41
Azhar, B. A. "Rural Savings: Their Magnitude, Determinants, and Mobilisation." Pakistan Development Review 34, no. 4II (December 1, 1995): 779–88. http://dx.doi.org/10.30541/v34i4iipp.779-788.
Full textAbstract:
The general view about the rural population in Pakistan is that a vast majority of it has a deplorably low standard of living. The incomes of most of the rural people are so low that one wonders how they manage to survive. Studies on poverty in the country show that the incidence and the intensity of poverty in the villages is much higher than in the towns. Yet the available data about rural incomes and family budgets show that the average propensity of the rural households to save is much higher than the national average. Several questions need to be answered in this regard. Are the data about rural incomes and expenditures reliable? Are the findings a consistent feature over time or only a temporary phenomenon for a year or so? Do only larger farmers save or do the smaller peasants and non-farm rural people also manage to save? Is this finding unique only to our rural populace or is there evidence of similar findings from elsewhere? What is the possible rationale for this unusual saving behaviour? What is the magnitude of rural savings and what could be their role in rural development? Finally, how could these savings be encouraged and mobilised? This paper aims at exploring and answering these questions with the help of whatever data are available. Apart from the Introduction, the paper is divided into five sections. In the first section, we present evidence of high rates of rural savings in Pakistan and some other countries. Section 2 discusses the rationale of this savings behaviour and the determinants of rural savings. In Section 3, we examine the magnitude of rural savings and their possible role in rural development. Section 4 deals with the problem of mobilisation of rural savings. The final section sums up the discussion.
42
Sujakhu, Nani Maiya, Sailesh Ranjitkar, Hua Yang, Yufang Su, Jianchu Xu, and Jun He. "Quantifying farmers’ climate change adaptation strategies and the strategy determinants in Southwest China." International Journal of Climate Change Strategies and Management 12, no. 4 (July 20, 2020): 511–32. http://dx.doi.org/10.1108/ijccsm-12-2019-0073.
Full textAbstract:
Purpose This paper aims to document the adaptation strategies developed by local farmers to adjust to climate change and related hazards in Lijiang Prefecture in Southwest China, and quantify the determinants of the adaptation measures. Design/methodology/approach The study conducted a household survey with 433 respondents in Lijiang to documents adaptation measures. The authors used a multivariate probit model to quantify five categories of adaptation measures against a set of household features, extension and information, resources, social network, financial assets and perception variables. Findings The most significant determinants consisted of information on early climate warnings and impending hazards, ownership to land and livestock, irrigation membership in community-based organisations, household savings, cash crop farming and perceptions of climate change and its related hazards. Adaptation strategies and policies highlighting these determinants could help to improve climate change adaptation in the region. Originality/value This study quantified the determinants of adaptive strategies and mapped important determinants for the region that will provide farmers with the appropriate resources and information to implement the best practices for adapting to climatic changes. The method and findings could be useful and easily replicable for future agriculture policies.
43
Mundra, Kusum, and Ruth Uwaifo Oyelere. "Determinants of Homeownership among Immigrants: Changes during the Great Recession and Beyond." International Migration Review 52, no. 3 (August 13, 2018): 648–94. http://dx.doi.org/10.1111/imre.12311.
Full textAbstract:
In this paper, we explore factors correlated with immigrant homeownership before and after the Great Recession. We focus solely on immigrants because of recent evidence that suggests homeownership rates declined less for immigrants than natives in the United States during the recession and onward. Specifically, we examine to what extent an immigrant's income, savings, length of stay in the destination country, citizenship status, and birthplace networks affected the probability of homeownership before the recession, and how these impacts on homeownership changed since the recession. We examine these questions using microdata for the years 2000–2012. Our results suggest that citizenship status, birthplace network, family size, savings, household income, and length of stay are significant for an immigrant's homeownership. In comparing the pre‐recession period to the period afterward, we find that the impact of birthplace networks on homeownership probabilities doubled while the impact of savings slightly declined.
44
Adamu, B. D., F. Tanko, T. M. Barnabas, and E. U. Adejoh. "DETERMINANTS OF HOUSEHOLD’S POVERTY AMONG CROP FARMERS IN KADUNA STATE, NIGERIA." FUDMA JOURNAL OF SCIENCES 5, no. 1 (June 29, 2021): 529–38. http://dx.doi.org/10.33003/fjs-2021-0501-600.
Full textAbstract:
This study examined the households’ poverty status among crop farmers in Kaduna State. Multi-stage sampling procedure was used to select 242 farmers for this study. Data were collected through using structured questionnaire with the help of trained enumerators. Descriptive and inferential statistics such as tobit regression and Foster, Greer and Thorbecke (FGT) model was employed in this study. The results showed that the mean age of the respondents was 45 years and were married, mean household size of the farmers was 11 persons, and about (80.6%) had formal education. The poverty situation of the farmers revealed that 51% were poor and the strategies adopted by the farmers to combat poverty were mostly through diversification into commercial farming, increased personal savings and involvement in non-farming activities. Tobit regression analysis revealed that age, household and income negatively influences the poverty status of the farmers, statistically significant at 1%, this implied that, poverty is concentrated among households in the study area. Major constraints encountered by the crop farmers, include high cost of inputs, inadequate credit facilities and inadequate market linkages. In conclusion, poverty incidence had a negative and significant effect on rural crop farmers. It was recommended that farmers should form cooperative societies to access micro loan; farmer should be linked to the urban market through extension agent and media to attract good value for their crops. Government and Non-Governmental Organizations (NGOs) should make farm inputs readily available at a subsidized rate
45
Adnyani, Achintya Widhi, and Lilik Sugiharti. "Profil Dan Determinan Kerentanan Kemiskinan Rumah Tangga." JURNAL ILMU EKONOMI & SOSIAL 10, no. 2 (November 8, 2019): 100–118. http://dx.doi.org/10.35724/jies.v10i2.2412.
Full textAbstract:
Concept of vulnerability to poverty appears by a presence of shocks as an important dimension of poverty. The existence of shocks lead to insecurity in household welfare. This measurement of vulnerability to poverty is trying to measure probability of households fall in to poverty in the future. This study aims to measure household vulnerability to poverty and examine its determinants on the basis of a household survey data for Indonesia. Sampel data used is secondary data from IFLS 5 (Indonesia Family Life Survey) year 2014. The measurement of vulnerability to poverty is analyzed using three stage FGLS (Feasible Generalized Least Square), while its determinant is analyzed using logit regression methods. Results of this study show that Lampung province, DKI Jakarta, Sumatera Utara, Sumatera Barat, Kalimantan Selatan, dan Nusa Tenggara Barat have a high average value of vulnerability to poverty. Moreover, Lampung Province is the most vulnerable in 2014. Furthermore, this study find that age of household head, education of household head, household size,location, saving ownership,and land ownership have a significant effect on household value of vulnerability to poverty.
46
Yasmeen, Prof Dr GHazala, and Muhammad Hashaam. "INCOME, CONSUMPTION, SAVING, POVERTY ALLEVIATION AND SOCIOECONOMIC DEVELOPMENT." Pakistan Journal of Humanities and Social Sciences Research 3, no. 01 (June 30, 2020): 91–100. http://dx.doi.org/10.37605/pjhssr.3.1.1.
Full textAbstract:
Economic literature shows correlation in poverty alleviation and socioeconomic development. The researchers become increasingly responsive to the poverty alleviation when giving policy suggestions to the stakeholders about socio-economic development. If socio-economic development is the function of poverty alleviation then the crucial role of the determinants of poverty alleviation cannot be challenged. Though poverty alleviation needs a multi-dimensional approach to combat the issue, however modern economic literature uses economic dimension e.g. income of the household as a determinant of poverty alleviation. Present study suggest that it’s not only income that impact the poverty alleviation and socio-economic development but practically the capability of household for consumption and saving actually determines the poverty alleviation. Consequently the effective capability of the household to consume and save is the prerequisite. This study is based on the data obtained from 300 households using the proportional stratified sampling technique in the urban area of Peshawar District to quantify the factors that determine income, consumption and saving function of the urban households that in turn effect the poverty alleviation and socio-economic development. Hence the present study identifies the factors that directly or indirectly ascribed for poverty alleviation and socio-economic development in Pakistan.
47
Saliya, Abdela Yasin. "Determinants of Urban Household Saving Behavior in Ethiopia: A Survey Study in Mekelle City." Üniversitepark Bülten 7, no. 2 (December 15, 2018): 82–95. http://dx.doi.org/10.22521/unibulletin.2018.72.1.
Full text
48
Olasehinde, Noah, and Olanrewaju Olaniyan. "Determinants of household health expenditure in Nigeria." International Journal of Social Economics 44, no. 12 (December 4, 2017): 1694–709. http://dx.doi.org/10.1108/ijse-12-2015-0324.
Full textAbstract:
Purpose The purpose of this paper is to examine the determinants of health expenditure at the household level in Nigeria with specific focus on the household and individual unique characteristics. It presents some stylised facts about the Nigerian health system and its financing options. It went further to show that household is the major financial organ of healthcare in Nigeria. The study aims to expand the domain of household health expenditure by analysing at national, urban and rural levels. Design/methodology/approach It adopted Engel curve approach, which was estimated using ordinary least squares technique. The model was structured to take care of life-cycle implications by examining effects of age in years and age groups (0-9, 10-19, 20-39, 40-59 and 60+) on healthcare spending. Data were drawn from the 2010 Harmonised Nigeria Living Standards Survey (HNLSS) conducted by the National Bureau of Statistics and analyses were conducted nationally, for urban and rural locations. Findings The result shows that individual characteristics like age, religion, education and household characteristics like income, size and headship commonly influence healthcare expenditure in Nigeria significantly. The household-level variables possess stronger significant effects among the rural households while marital status and employment had differential effects in both urban and rural locations. It also confirmed that Nigeria engages in intergenerational transfer of healthcare by the working population to the young and older generations. Research limitations/implications HNLSS was only limited to those who were sick or injured in the last two weeks preceding the survey, leaving out those whose sickness preceded the two weeks before the survey. Also, the scope of health expenditure is limited to curative care spending that exclude expenses on preventive care, rehabilitative care as well as other cost-saving services. Originality/value This paper fulfils an identified need to examine the determinants of household health expenditure at the national, urban and rural locations.
49
Mutamuliza, Eularie, K. Vishwanatha, and SR Mbaraka. "Determinants of smallholder farmers’ participation in microfinance markets in Huye district, southern province, Rwanda." African Journal of Food, Agriculture, Nutrition and Development 21, no. 07 (September 2, 2021): 18319–29. http://dx.doi.org/10.18697/ajfand.102.19445.
Full textAbstract:
Microfinance markets play a significant role in enhancing socio-economic development of developing countries. In Rwanda, access to microfinance in financing agriculture is very important for future development. Despite this development, smallholder farmers still have limited access to institutional financial services. This study assessed factors that affect smallholder farmers’ participation in microfinance markets in three sectors of Maraba, Mukura and Ngoma in Huye district in Southern province of Rwanda. Primary data were collected using questionnaires and personal interviews. A total of 300 respondents were selected using a simple random sampling technique from participants and non-participants in microfinance markets. Data collected were analyzed through descriptive statistics and Probit regression model. Results from descriptive statistics revealed that major sources of income were farming and business activities. Findings revealed also that each household had an average of about five members with standard deviation of 1.901 and mean value of household land size of 1.87 ha with standards deviation of 0.758. Findings from Probit analysis revealed that household size, education, total annual income, cooperative membership, and household savings had a positive and significant effect on smallholder farmers’ participation in microfinance markets. Distance from microfinance institutions negatively influenced participation in microfinance markets. Households that were located far from to the microfinance institutions were less likely to participate in microfinance markets compared to those nearer to the institutions. This study recommends microfinance institutions in Rwanda to expand their financial systems to enable smallholder farmers access affordable agricultural finance. Further, there is need for microfinance institutions to create more awareness programs to help smallholder farmers get key information related to microfinance services. This is expected to influence smallholder farmers’ willingness to apply for microcredits for agricultural development. This will in the long-run help the smallholder farmers to adopt new practices and technologies thus increasing their agricultural production.
50
Pandey, Ashish. "Micro study of low-income households in India: a poverty expectation hypothesis?" Qualitative Research in Financial Markets 10, no. 1 (February 5, 2018): 2–14. http://dx.doi.org/10.1108/qrfm-12-2016-0051.
Full textAbstract:
Purpose The purpose of this paper is to explore whether existing theories on saving behaviour and empirical findings on the determinants of saving behaviour can be generalised for the low-income households in developing countries. Design/methodology/approach The paper adopts Van Manen’s hermeneutic phenomenology approach. Semi-structured interviews were conducted with female household members that belong to low-income households and do not have any member of the household with a permanent job. Interviews were conducted in the cities of Bangalore and Indore in India. Lived experience of participants was captured using conversational interviews and thematic analyses. Findings The paper provides evidence that the existing literature on saving behaviour is inadequate in explaining either the saving behaviour or the determinants for saving for low-income households in developing countries. This paper finds evidence of poor institutional access and reliance on informal financial intermediaries for low-income households. Research limitations/implications This paper establishes the need for a qualitative study with a large sample size to determine the policy interventions and institutional drivers that will encourage low-income households to migrate from the informal financial intermediaries to formal banking institutions. Originality/value To the best of author’s knowledge, this is the first qualitative paper aimed at understanding saving behaviour of low-income households. Extant literature is focused on normative economic frameworks that bear limited relation to the contextual realities of low-income households in the developing countries.