The microcredit for poverty alleviation initiative was first introduced in 2014 to support poor households with the will and productive capacity to exit poverty, but lacking the capital to do so. The mechanism consisted of:

  • Small loans of up to RMB 50,000, repayable within three years;
  • Removing any requirements for guarantors or collateral;
  • Loans were issued at benchmark interest rates with full government interest subsidies;
  • To mitigate the inherent credit risk for lending institutions and encourage their participation, government bodies and insurance companies collaborate to establish county-level risk compensation funds and to offer diversified insurance products;
  • To determine the appropriate loan terms, financial institutions and government departments conduct a structured assessment of the applicants' credit ratings, proposed production scale, and project cycles.
  • The repayment structure was designed to reduce pressure on borrowers: principal was due at maturity, while interest payments, made monthly or seasonally, were reimbursed to households or paid directly to lending institutions by the government.

A rigorous, data-driven national registration system was used to select eligible beneficiaries, collecting multidimensional data - such as income, education, housing, and health- and incorporating grassroots evaluation

The programme's design reflects a deliberate effort to align financial incentives with productive use. Loans were intended to support industrial development in poor areas, including smallholder agriculture, livestock, and rural enterprises. To ensure the funds are utilised effectively for these purposes, the government provided essential supplementary support, including technical training and market information, thereby enhancing the borrowers' self-development capabilities.

Following the formal declaration of poverty elimination in February 2021, the programme entered a new phase. Its target population shifted from registered poor households to "marginal vulnerable households", those recently lifted out of poverty and at risk of falling back. Additionally, the full interest subsidy was replaced by a partial subsidy, reflecting both the changed circumstances of beneficiaries and the government's transition from poverty eradication to rural revitalisation.

To ensure inclusivity, the microcredit for poverty alleviation targets particularly disadvantaged populations, including households with disabilities, as well as labour-capable widows, widowers, and orphans. Through dedicated rural outreach stations and close coordination with local officials, these highly vulnerable groups receive tailored financial support to purchase essential production tools and engage in feasible, locally adapted business activities, thereby fostering their economic independence and integrating the most marginalised individuals into the broader poverty alleviation effort.

According to a 2021 report on the Fight against Extreme Poverty Census conducted by China’s National Bureau of Statistics, of the 14.82 million poor households investigated, 5.21 million have been engaged in productive activities through microcredit, accounting for 35.16% of the total.

Yet this only represents the percentage of households that chose to apply for microcredit. By June 2020, in the 832 poor counties, the coverage rate of rural basic financial services reached 99.6%, according to the China Banking Regulatory Commission. Nearly all the rural households could apply for microcredit to conduct productive activities when they have the demands.

The cost input of microcredit for poverty alleviation includes many aspects, mainly involving loan issuance, training, risk control and other links:

  • Loan cost: The loan principal is provided by the financial institutions for poor households. Since the implementation of the microcredit for poverty alleviation policy in 2014, as of the end of 2020, the cumulative amount issued has exceeded 710 billion yuan.
  • Risk compensation cost: It is mainly reflected in the risk compensation fund established by the county. For example, Guanling Buyi and Miao Autonomous County in Guizhou Province will set up 5% of the increment of general public budget revenue at the county-level finance every year into a risk compensation fund to provide risk compensation for poor farmers to develop microcredit for production.
  • Loan training cost: Provide training for loan managers, financial institution staff and borrowers to improve their ability to manage and use loans.

Government-led, collaborative governance with financial institutions and public participation in supervision.

In China a 'National Information System for Monitoring to Prevent Relapse into Poverty and for Advancing Rural Revitalization' has been established. It integrates the functions of collecting information on the poor, analysing the causes of poverty, implementing policies for the prevention and treatment of poverty, tracking the situation of the poor as they move out of poverty, and providing early warning of the return of the poor to poverty. Apart from the national system, in China different provinces have developed different systems in line with their actual needs.

Take Fujian Province as an example, it has an online regulatory system on the funds for poverty alleviation(https://hm.czt.fujian.gov.cn/xczxpc/#/drdh?key=0.6384897269685896). In this system the detailed information on the microcredit is presented.

Effect on poverty and inequality

Poverty Alleviation: China’s Experience and Contribution (SCIO, 2021):

To help the poor apply for low-interest loans, in 2014 the government began to try small loans for poverty alleviation – loans under RMB50,000 to be issued to poor people without requirements for guarantee or collateral and paid back in three years. The loans are issued at benchmark interest rates with interest subsidies and risk compensation funds set up at county level. Targeted at the weaker links hindering the poor from doing business, these loans have brought valuable financial tools to poor areas, making it easier for the poor to start businesses. People who have used them have also built up their awareness of the market, of risk prevention, and of the credit system. The loans have given motivation to the poor, and increased effective financial supply to rural areas. As of the end of 2020, more than RMB710 billion had been issued in small loans to 15 million poor households.


Income growth for poor households

Estimating the Impact of Poverty Alleviation Microcredit on the Income of Poor Households Using the Propensity Score Matching Method: Evidence from China (Yu et al., 2020):

The results show that the poverty alleviation microcredit positively affects the production income of poor households, including those who are poor due to lack of funds and poor households with female heads.

Effect of Micro-Credit for Poverty Alleviation on Income Growth and Poverty Alleviation—Empirical Evidence from Rural Areas in Hebei, China (Yin et al., 2023):

This paper employs the OLS model and Logit model to empirically test the effect of micro-credit for poverty alleviation on the income level and stability of income growth of farmers based on the field survey data of 458 registered poverty-stricken farmer households in Fuping County and Quyang County of Hebei Province. The results suggest that micro-credit for poverty alleviation can increase farmers’ income, stabilize the growth of their income, and exert significant short-term and long-term effects on income growth and poverty alleviation. The specialized farmer cooperatives, the scale of production and operation, the proportion of family labor force, and the education level of the head of the farmer’s household exert a significantly positive effect on the farmers’ income and the stable growth of their income. There is a significant interaction between micro-credit for poverty alleviation and specialized farmer cooperatives. The physical conditions of family members exert a negative effect on the stable growth of their income, and other financing channels have no significant effect.


Women empowerment and gender equality

The Impact of Microfinance on Women's Poverty Alleviation: An Analysis from the Perspective of Financial Empowerment

The results show a significantly positive relationship between microfinance and poverty alleviation and microfinance and women empowerment. This confirms that microfinance is indeed what is required to bring people out of poverty and for improving the empowerment of women. Gender-based violence and woman empowerment have a significantly negative relationship. When gender-based violence increases women’s, empowerment decreases and vice versa. It was also seen that gender-based violence has no significant impact on poverty alleviation. Financial inclusion as a moderator had a significant impact on the relationship between gender-based violence and women’s empowerment. This means that even if gender-based violence increases if women are financially included then they will still have increased empowerment. Thus, it can be concluded that financial freedom goes a long way in making women feel like they are equal like they have autonomy, and freedom to make choices


Multidimensional relative poverty alleviation of the targeted microcredit in rural China: a gendered perspective (Wu et al., 2024):

Targeted microcredit can alleviate multidimensional relative poverty among rural households in the new era, mainly by reducing income and opportunity inequality. Targeted microcredit can promote women’s empowerment, mainly by enhancing their social participation, thereby helping alleviate households’ multidimensional relative poverty. The effect of the targeted microcredit on multidimensional relative povertyis more significant in medium-educated women households and non-left-behind women households. The multidimensional relative poverty alleviation effect is stronger in villages with a high degree of digitalization.


Professional background of loan officers and the effectiveness of loans issuance

Commercialization and Mission Drift: Evidence from a Large Chinese Microfinance Institution (Jia et al., 2016):

Loan officers who were formerly farmers or worked in local government were better able to maintain lending to poorer borrowers, without incurring substantially lower repayment rates on their loans. In short, it appears that the career backgrounds of loan officers did play a role in preventing mission drift.


References:

Jia, X., Cull, R., Guo, P., & Ma, T. (2016). Commercialization and mission drift: Evidence from a large Chinese microfinance institution. China Economic Review, 40, 17–32.

State Council Information Office of the People's Republic of China (SICO). (2021, April). Poverty alleviation: China's experience and contribution. Foreign Languages Press.

Wu, B., Niu, L., Tan, R., & Zhu, H. (2024). Multidimensional relative poverty alleviation of the targeted microcredit in rural China: A gendered perspective. China Agricultural Economic Review, 16(3), 468–488.

Yin, S., Chen, X., Zhou, X., Chen, C., & Liu, J. (2023). Effect of micro-credit for poverty alleviation on income growth and poverty alleviation—Empirical evidence from rural areas in Hebei, China. Agriculture, 13(5), 1018.

Yu, J., Han, X., Chen, B., & Ren, J. (2020). Estimating the impact of poverty alleviation microcredit on the income of poor households using the propensity score matching method: Evidence from China. Agriculture, 10(7), 293.


Summary of additional findings:

During its national poverty alleviation campaign, China disbursed over 710 billion yuan in microcredit, pioneering a flagship model to address the global challenge of limited access to affordable credit. A third-party survey commissioned by the State Council Leading Group Office of Poverty Alleviation and Development microcredit for poverty alleviation have contributed 12.4% to the income growth of poor households.

Microcredit for poverty alleviation has been crucial in eradicating poverty by effectively addressing the issue of insufficient startup capital for poor households to engage in production. This financial access enabled vulnerable populations to improve their livelihood skills, launch micro and small enterprises, and expand production. Beyond direct income generation, the initiative stimulated an entrepreneurial spirit, empowering households to achieve self-sufficiency while fostering local industries with distinct regional advantages. Furthermore, it significantly expanded the reach of rural financial services, fostering a more equitable financial environment.

Finally, microcredit for poverty alleviation has also played a vital role in the global fight against hunger. By supporting the agricultural value chain (from production to processing and sales) microcredit has boosted the rural economy and increased farmers’ incomes, directly improving the dietary diversity and living standards of vulnerable populations.

Some of the lessons learned from implementing microcredit policies for poverty alleviation:

  • Precise identification of targets for poverty alleviation work: In the implementation of the microcredit for poverty alleviation policy, the precise identification of poverty alleviation targets has ensured that funds are directed to the households that truly need assistance. In financial services, it is essential to further accurately identify target populations that need assistance to ensure the utility of resources.
  • Policy support and institutional safeguards: Strong government support and robust institutional safeguards are crucial for the success of microcredit for poverty alleviation. For example, government-provided interest subsidies and the establishment of guarantee funds effectively reduce the financing costs and risks for poor households. It is imperative to ensure policy continuity and stability while also setting up comprehensive regulatory and safeguarding mechanisms.
  • Multi-party collaboration and coordination: The effectiveness of microcredit for poverty alleviation is enhanced through collaboration among multiple departments and institutions. Local governments, financial institutions, non-governmental organizations (NGOs), and technical service providers and other parties work together to integrate and complement resources. Cross-departmental cooperation mechanisms are established to pool efforts and advance the implementation of microcredit for poverty alleviation.

SDG 1 - No poverty

  • Target 1.1 - By 2030, eradicate extreme poverty for all people everywhere, currently measured as people living on less than $1.25 a day
  • Target 1.2 - By 2030, reduce at least by half the proportion of men, women and children of all ages living in poverty in all its dimensions according to national definitions
  • Target 1.4 - By 2030, ensure that all men and women, in particular the poor and the vulnerable, have equal rights to economic resources, as well as access to basic services, ownership and control over land and other forms of property, inheritance, natural resources, appropriate new technology and financial services, including microfinance


SDG 2 - Zero hunger

  • Target 2.3 - By 2030, double the agricultural productivity and incomes of small-scale food producers, in particular women, indigenous peoples, family farmers, pastoralists and fishers, including through secure and equal access to land, other productive resources and inputs, knowledge, financial services, markets and opportunities for value addition and non-farm employment


SDG 5 - Gender equality

  • Target 5.a - Undertake reforms to give women equal rights to economic resources, as well as access to ownership and control over land and other forms of property, financial services, inheritance and natural resources, in accordance with national laws


SDG 8 - Decent work and economic growth

  • Target 8.3 - Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial services


SDG 10 - Reducing inequalities

  • Target 10.1 - By 2030, progressively achieve and sustain income growth of the bottom 40 per cent of the population at a rate higher than the national average
  • Target 10.2 - By 2030, empower and promote the social, economic and political inclusion of all, irrespective of age, sex, disability, race, ethnicity, origin, religion or economic or other status
  • Target 10.4 - Adopt policies, especially fiscal, wage and social protection policies, and progressively achieve greater equality

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