Time to digitize ‘social welfare benefits’ and make them better accessible

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India is a country on the move, with crores of people moving out of their villages and towns every year searching for better livelihood opportunities elsewhere in the country. Against this backdrop, social welfare benefits meant for them and other eligible beneficiaries must be made portable, so they can be availed no matter where the beneficiary is physically located at a given point in time.

A big step in this direction is the implementation of the One Nation One Ration Card (ONORC) under the Public Distribution System (PDS). Earlier, beneficiaries could get ration only from a specific fair price shop in their home locality. This limitation meant that migrants were denied their food grain entitlement at the destination. In one stroke, ONORC has solved this fundamental constraint. The reform’s grand vision is to allow beneficiaries to get their entitlement of government-subsidized wheat and rice from any fair price shop anywhere in the country, at their convenience. The implementation of ONORC has assumed greater velocity in the wake of the plight of domestic migrant workers since the Covid-19 pandemic began last year.

One of the key design features of ONORC is the concept of Single Source of Data (SSOD). SSOD is a data storage principle, whereby all the data is collected close to its source and stored in a centralized place to be accessed by all authorized parties, no matter where they are physically located. In any large system (like a government or corporate), if the SSOD principles are followed, it ensures that the data is verifiable and non-repudiable.

For ONORC, the Union government has collated the data about ration card-holders to a single, centralized platform that was held only at the state level until recently. The merging of the databases has made it possible for a migrant worker, say from Bihar to avail of food benefits even when he is in Maharashtra, where he may be working for a few months.

By using the SSOD concept in ONORC, India has created a good data management and governance model while providing the portability of services across geographical barriers. Similarly, the policymakers can consider adopting SSOD principles in their data management and implementing other social welfare programmes, to make them more efficient and provide nationwide portability.

How Single Source Enabled Ration Card Portability

Two-thirds of India’s population, or around 80 crore people, are entitled to subsidized food grain under the National Food Security Act (NFSA, 2013). The targeted beneficiaries under NFSA receive the foodgrain through the public distribution system (PDS).

In the last decade, the governments, both at the state and the union level have taken rapid strides in reforming the PDS. At the union government level, one of the most important reforms was the end-to-end computerization of PDS operations. This included digitization of the beneficiary database, online allocation of food grain, and computerization of the supply chain (from FCI warehouses to FPS shops).

At the state-level too, the reforms included digitizing all the ration cards and seeding the Aadhaar number for each ration card. With these measures alone, the states and union territories could remove around 4.39 crore fake, ineligible, duplicate ration cards between 2013 to 2020. Further, to make ONORC possible, states have shared their ration card databases with the union government, creating a central-level database. By now, 34 states have implemented ONORC, while two more states — Chhattisgarh and Assam — are likely to get on board within a few months.

Those entitled to get subsidized food grains are already availing the benefits of ONORC. Presently, a monthly average of about 2.2 crore portability transactions (including inter-/intra-State and PM-GKAY foodgrain transactions) are being recorded in ONORC.

There are four main ways in which ONORC incorporates the SSOD principles:

Data collection close to the source of data: States collect information about ration card-holders, such as their names, age etc., at the unit closest to them, such as at village level. In addition, beneficiaries’ credentials are validated using biometrics and Aadhar card details, reducing the possibility of fake beneficiaries making the data reliable and non-repudiable data.

Creation of a centralized database: Though ration cardholder data is collected and managed by states, it is also shared with a centralized database and updated periodically. By seeing all state-level data on a single, central dashboard, policymakers can get the big-picture of what’s going on across the country. This data can be used to support budget baselines, help data-based cost estimates of projects, remove duplicate beneficiaries and for setting performance benchmarks for departments.

Real-time data sharing: The ONORC platform has been set up such that when a beneficiary makes a transaction, both the state and central-level databases are updated in real or near real-time. For instance, when a person from Bihar withdraws food grains from Delhi, the system sends a message to the centralized database, Bihar, and Delhi databases, that a transaction has happened. This reduces the chance of ‘double-dipping’ where a person can withdraw grains from two places simultaneously.

‘Minimalism’ by design: While each state collects the beneficiary and the transaction details in their own way, the central database extracts only that information which is present across all the state databases using APIs. This allows states the freedom to continue collecting data that they feel is necessary.

The Backbone for Other Welfare Plans

ONORC isn’t the only programme that has implemented SSOD. Its principles were used to execute India’s LPG subsidy reform. In this, customer data that was being held across databases of three different oil marketing companies was collated in one place. This single database of beneficiaries allowed authorities to identify and weed out 4.49 crore duplicate, fake and non-existent beneficiaries. That saved the exchequer INR 71,301 crore, as on March 31, 2020.

Multiple other government welfare programmes can implement these principles to make them more efficient and effective.

The Single Source of Data principle can support various health initiatives for maternal and child health. Studies have shown that women who work as migrant labour have poorer health outcomes. These women often return home and by the time they get registered for health services, their pregnancy is in the last stages, compromising crucial health care for themselves and their unborn child. Solutions that include the portability of these services can be a huge step in ensuring better health outcomes.

Government’s much ambitious Pradhan Mantri Jan Arogya Yojana (PM-JAY), popularly known as Ayushman Bharat that aims to provide health insurance to 500 million people can be made portable through the SSOD principle to ensure that migrant people continue to get health cover as they move.

One prime use case would be in the world’s largest public-works programme provided under the Mahatma Gandhi Rural Employment Guarantee Act. In this, the government guarantees at least 100 days of employment to every rural household. Households can avail of this programme within a radius of five kilometers of their village, and in some cases, it is available at the block level. However, if the programme could be made portable, it would allow villagers to find employment anywhere in India.

This blog first appeared as an Op-ed in the ET Government on September 30, 2021.

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Facilitating cottage, micro, small, and medium enterprises during the pandemic

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Cottage, micro, small and medium enterprises (CMSMEs) in Bangladesh are having an increasingly challenging time under the COVID-19 pandemic. 94 per cent of enterprises experienced a significant loss of sales in 2020, with a 49 per cent decrease in sales on average for micro-enterprises. This is likely to decline further in 2021. The struggle for survival is not new for CMSMEs. These enterprises operate on slim margins (IFC, 2020), have a high dependence on the supply chain, and face cash-flow issues. The pandemic has aggravated these problems.

Furthermore, they face low customer demand, business closure due to state lockdown policies, and reduced opportunities to meet new clients. CMSMEs account for about 99 per cent of all business units in Bangladesh. Studies mention that 99 per cent of about 7.7 million CMSMEs in the country are in distress, failing to pay wages to workers and struggling with the impact of the economic slowdown caused by the COVID-19 outbreak.

Stimulus packages and disbursements: The government announced stimulus packages in different categories for industries to recover from the economic crisis caused by the pandemic outbreak. These include a package of USD 3.55 billion for large-scale industries and services sector, a package of USD 2.37 billion and an additional package of USD 35.5 million for CMSMEs, a package of USD 1.51 billion for export-oriented industries, a package of USD 591 million for farmers and a package of USD 355 million for people of low-income groups. Due to the slow disbursement of working capital loans for the CMSME sector initially, the government introduced a credit guarantee scheme of USD 236 million to encourage banks to extend loans to CMSMEs.

However, financial service providers disbursed only 60 per cent of the CMSME package until January 2021 and 75 per cent until May 2021. The finance ministry noted that only 10.8 per cent of this went to low-income farmers, and cottage and micro enterprises. Bangladesh Bank data indicate that of the USD 1.78 billion earmarked for the CMSMEs, the largest share has gone to small and medium enterprises engaged in manufacturing and service, with very few cottage and small enterprises in manufacturing or trading receiving these loans.

The wellbeing of CMSMEs is vital for socio-economic development both at the national and enterprise level. CMSMEs together account for 80 per cent of industrial employment. Their contribution to the GDP is said to be 25 per cent , and their export contribution is said to be 75 per cent. CMSMEs impact Bangladesh’s national strategic plans such as Vision 2021 (based on the Perspective Plan 2010-2021) and Vision 2041 (the Perspective Plan of Bangladesh 2021-2041, which seeks to eliminate extreme poverty, reach the upper-middle-income country status by 2030). COVID-19’s impact on CMSME might also adversely affect the country’s graduation from the least developed country to the status of a developing country. This is scheduled to happen in 2026 according to the government.

Stakeholders need to take a more strategic view of CMSMEs: Lenders’ inability to serve all CMSMEs is a symptom, not the root problem per se. Many CMSMEs cannot meet bank requirements and are unwilling to apply for the package because of the lengthy process. A survey by the Dhaka Chamber of Commerce and Industry (DCCI) earlier found that 59 per cent of the CMSMEs found the disbursement process complex, and 18 per cent of them were still unbanked, while many said that the loan amount is insufficient.

This is not all. The trade licensing and licence renewal is a lengthy process that CMSMEs do not want to go through as the opportunity costs are high. Formalisation of CMSMEs has perils too – many CMSMEs still do not want to be account for value added tax (VAT). Is there a way that will promote the formalisation of CMSMEs? Some initial thoughts could include a more straightforward registration and renewal process, with increased ceilings to counter the additional burden of taxes.

Formalisation alone will not help CMSMEs: Bangladesh must develop strategies to promote and enhance entrepreneurship at the grassroots. These may include incentives for digital adoption where agent banking and mobile money providers offer cash incentives for business transactions of CMSMEs. Digital literacy and awareness campaigns are designed for CMSMEs through the network of Union Digital Centers (UDCs). The role of Microfinance institutions (MFIs) to support CMSME entrepreneurs needs to be formalised. MFIs can emerge as a viable alternative to fund MSMEs due to their vast network across Bangladesh and experience in handling high-volume, low-value portfolios.  MFIs in the country serve 32.34 million CMSMEs already. If the government channelled the relief funds directly via MFIs – many more CMSMEs would have received support during these times of distress.

Similarly, data disaggregated by gender and geography — for example, any data that allows comparison between women and men CMSMEs, or comparison between CMSMEs in Sylhet and Rajshahi — could inform and enhance policy-making to support CMSMEs.

Categorisation of CMSMEs: The most important and strategic step, however, will be to refine the categorisation of CMSMEs for improved targeting.  The current bundling of CMSMEs includes medium enterprises, which often take the form of large factories. A smaller, well-defined group of the cottage, micro, and small enterprises can help the government provide better-targeted support. For example, New Zealand has a specific Small Business Strategy catered toward enterprises with 20 or fewer employees.

The definition of small enterprise in Bangladesh is not drastically different from that of New Zealand. Still, the fundamental contrast is that there isn’t a policy specifically for small businesses. Also acknowledged by the  Industries Minister of Bangladesh, the definition of medium enterprises needs to evolve for the betterment of CMSMEs and 7.8 million Bangladeshis who are directly and indirectly linked to CMSMEs.

The Financial Express first published this article on 25th September, 2021.

Making Elephants Dance – A case study on shared agent banking in Uganda

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FSD Uganda commissioned MSC to conduct a study and document how shared agent banking came into play in Uganda, why it was necessary, what has gone well so far, the challenges encountered, and the lessons learned. As the title of this case study suggests, uniting the vision and direction of at least 19 supervised financial institutions  and getting them to collaborate in a typically competitive space is a difficult task, akin to Making Elephants Dance.

This case study covers:

  • The circumstances that led to the introduction and development of the shared agent banking network;
  • The functionalities and implementation of the shared agent banking platform and how these may have contributed to the operational success of the system;
  • The key successes, weaknesses, challenges faced, and opportunities for the shared agent banking network in Uganda; and
  • Key lessons from the implementation of the shared agent banking network in Uganda and exploring how these may be replicated in other markets that seek to implement a shared agent network.

We welcome you to read this report here:

Bridging the digital divide using innovative approaches to financial and digital education

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[podcast_playlist series=”bridging-the-digital-divide-using-innovative-approaches-to-financial-and-digital-education”]

Life on credit: Why and how do corner shop owners take loans?

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Yuyun sells food items and products of daily use from a small shop from her home in Central Java, Indonesia. By late February, 2021, Yuyun had four outstanding loans. While four concurrent loans seem excessive, Rahmat Kabir from Hrishipara in central Bangladesh goes a step further. By the middle of 2021, Rahmat had 13 outstanding loans—seven from multiple microfinance institutions (MFIs), five from friends, and one from a neighbor.

However, juggling multiple loans is not common to all micro-enterprise owners. Only two of our diarists from India had more than two outstanding loans—most had either one loan or no loan at all. One such diarist, Manish Chouhan, runs a grocery shop in Madhya Pradesh, India. Manish was trapped in a vicious cycle—reduced stocks due to a drop in income led to lower sales and a consequent decrease in revenue. To break this cycle, Manish had to borrow INR 10,000 (~USD 134.79) from his friends to purchase supplies for his shop.

These examples illustrate the difference in borrowing patterns in the three Asian countries of our Corner Shop Diaries research—India, Indonesia, and Bangladesh. By analyzing the loan transaction data of our diarists, we identified the key insights discussed below.

1. Taking loans is more common in Bangladesh, followed by India and Indonesia

Only eight out of 25 diarists had outstanding loans in India. These diarists had a total of 10 outstanding loans. In Indonesia, 10 diarists had a total of 17 outstanding loans, while in Bangladesh, four out of five diarists had as many as 27 running loans in total. Bangladesh also tops the list in terms of total loan value disbursed, as depicted in Graph 1. The reason behind the significant difference in the number and value of loans is the phenomenal growth of MFIs in Bangladesh since the 1990s. These MFIs facilitate access to credit for the low- and moderate-income (LMI) segment in rural and urban areas.

Other possible reasons for the difference in number and value of loans across countries:

The diarists did not divulge the details of loans taken willingly. We had to gain their trust and make them comfortable enough to reveal this information. Taking loans is not a desirable practice in the cultures of some of our countries of research. This may be a significant factor responsible for this reluctance in sharing information, and the levels of reluctance also vary across countries. Another factor is the difference in skills of data collectors who acquired the sensitive information related to credit. However, we can safely assume that these are not the only factors that contribute to the significant difference in the number of loans. Borrowing behaviors may also vary based on historical and market-level aspects of the country, as mentioned before.

2. Banks and MFIs are significant sources of loans

In general, borrowers in India prefer to take loans from formal institutions- mainly banks and some NBFCs. In Indonesia, informal institutions like Rotating Savings and Credit Associations (ROSCAs) and formal institutions like banks, cooperatives, and MFI are familiar sources of loans. With the historical evolution of its microfinance industry to curb rural poverty, MFIs are the major source of credit in Bangladesh . The country has been expanding its banking industry to push economic growth—most recently through agent banking. Besides these sources, borrowers in Bangladesh also take loans from informal sources like friends and family.

These practices reflect the experiences of our diarists in these countries. Diarists in India prefer to secure loans from banks, with seven out of 10 loans taken from banks. In Indonesia, diarists took almost half of the loans (eight out of 17 or 47%) from MFIs, five from banks, and the remaining four from other sources like cooperatives and friends or relatives. Since we conducted our research in the primary working area of CU Lestari, our partner in Indonesia, several diarists have outstanding loans with the MFI.

Due to the overwhelming presence of MFIs in Bangladesh, diarists took 70% i.e. 19 out of 27 loans from MFIs. The remaining eight loans were taken from informal sources like friends and relatives. The abundance of access is a major factor that influences the choice of borrowers regarding the source of the loan. Prominent MFIs like Grameen Bank and BRAC, mid-sized MFIs like DSK, and smaller local MFIs like Sahaj Sanchay operate in Hrishipara, the area that our project covered. This made it easier for diarists to take multiple loans, either under their names or through accounts owned by people they know. Moreover, most MFIs in Bangladesh have also relaxed their terms of repayment after the pandemic.

The interest rates also vary significantly depending on the source of the loan. In India, banks charge interest rates of 7% to 13%, whereas money lenders charge interest as high as 18%. In Indonesia, the interest rates range from 2% to 24%, and in Bangladesh, they can go as high as 36% per year.

Informal loans from friends or relatives are usually interest-free and have flexible terms of repayment. Hence, these loans are the first choice for many. Informal loans are also the choice of instrument to repay other outstanding loans with stricter terms of repayment.

3. Diarists take loans primarily for business purposes

Diarists in India took more than half of the loans (six out of 10) for personal reasons and the other four to support their businesses. However, loans for business or livelihood were more predominant in Indonesia and Bangladesh—11 out of 17 (65%) loans in Indonesia and 22 out of 27 (81%) loans in Bangladesh were business loans. In Bangladesh, borrowers take business loans but often use the amount for various purposes. Borrowers generally use informal loans for a single purpose, such as to on-lend to others or repay debts, or smoothen their income. They consume such loan amounts swiftly. In contrast, borrowers use MFI loans mainly for business purposes and spend this amount slowly. They also use some parts of such loans to repay other loans or smoothen their income, among others.

Conclusion

The samples[1] from India, Indonesia, and Bangladesh highlight the difference in behavior regarding loans in South and Southeast Asia. Financial service providers can extract essential lessons from the complete picture of how and why borrowers take loans, their pain points, and the catalysts of loan adoption.

Loans are not always a burden but a stepping stone for growth, as evident in Case 1. Micro and small enterprises need access to finance to scale up and grow their business. Even small loans can have a significant impact on these enterprises. Loans help in consumptions smoothing, to build a cash reserve or to repay another loan, as highlighted in Case 2. However, mostly informal micro-enterprises still struggle with the lack of loan products tailored to their needs.

Stakeholders can learn from the example of CU Lestari—the MFI has attracted numerous LMI customers through its direct approach, such as providing a cash pick-up service for loan repayments. As businesses bounce back after the pandemic and the demand for credit rises, early movers will reap the benefit.

[1] We have not extracted the diaries data from a representative sample. Hence, the insights cannot be generalized.

Wi-Fi voucher: A top-selling product for rural corner shops in Indonesia

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Corner shop owner Yuyun finds it difficult to connect to the internet on her phone from her village of Gunungpayung in the hilly terrain of Temanggung regency. The village in Central Java lies 458 kilometers east of the capital of Jakarta. Yuyun sells daily necessities from a corner shop in her home. She also runs a coffee roasting business in the village. She is one of our diarists from MSC and L-IFT’s Corner Shop Diaries project. Gunungpayung is not the only rural area in Indonesia that has no or limited internet access.

However, even though she faced difficulties accessing the internet, Yuyun used several methods to sell her products to her clients, who live as far away as Jakarta. These included the use of WhatsApp to advertise her small business, promotional posters that she created on a design app, and Shopee—an e-commerce platform—to sell her products. What is her secret of being technologically savvy and well connected in a place without internet access?Reports indicate that access to 4G networks evades 12,548 villages in the country. While 90% of 4G signals are available in urban areas, the number falls to only 76% in rural areas. In Java, the most developed and populous island in the archipelago, the internet penetration rate is only 56.4%. In less populous islands, such as Sulawesi and Papua, the rate of internet penetration falls to below 10%. This inequality results from various factors, including geographical conditions, a notion among providers that rural and sparsely populated areas are not profitable, and a lack of regulation in infrastructure and frequency-sharing.

Yuyun showed us a box stenciled “Voucher – Wi-Fi” where she kept a pile of paper coupons (the vouchers). The coupons allow buyers to access the internet. She sells two kinds of coupons, one worth IDR 2,000 (~USD 0.14) for two-hour unlimited use and another worth IDR 5,000 (~USD 0.35) for all-day unlimited use. Such coupons are reasonably cheap and cost the same as a small box of milk that children usually buy. The package details are printed on the coupon. Customers only need to turn on the Wi-Fi feature on their mobile phone, enter the username and password, and connect to the internet.

The chart below shows the share of Wi-Fi voucher sales in Yuyun’s weekly revenue compared to other products, for example, snacks and daily necessities. The revenue from Wi-Fi voucher sales varied from time to time, from IDR 8,000 (~USD 0.56) to IDR 185,000 (~USD 12.96) per week. It shows that despite not being the main selling product, the Wi-Fi voucher remained a constant part of Yuyun’s total revenue.

Yuyun is not the only one who sells Wi-Fi vouchers in her area. The Wi-Fi voucher business is mushrooming, especially in densely populated areas with many blank spots in Temanggung and Wonosobo. The business model of Wi-Fi vouchers is through agencies. Small sellers like Yuyun are agents who receive routers and coupon papers from larger entrepreneurs. These entrepreneurs usually understand networks and other technical issues better and also determine the market price of Wi-Fi vouchers. Agents like Yuyun earn around IDR 500 – IDR 1,000 (~USD 0.035 – USD 0.070) from sales per coupon.

The signal of the Wi-Fi network, which Yuyun sells vouchers for comes from an access point device installed in her house. The access point functions as a “repeater” and extends the range of the internet signals that the users could not reach earlier. Yuyun spent IDR 70,000 (~USD 4.89) to install the access point. Meanwhile, the fee charged for personal use is IDR 350,000 (~USD 24.45) for access point installation and IDR 30,000 (~USD 2.10) for internet usage per user per month.

The Wi-Fi signal is sourced from the fiber optic cables owned by big internet providers, such as PT Telekomunikasi Indonesia (IndiHome). The Wi-Fi voucher entrepreneurs usually live close to the location of the fiber optic cables. They subscribe to internet data from an established provider and then they connect their modem to the router using a LAN cable. This router serves as a bandwidth distributor. Some routers also have an implanted access point to transmit the signal to the user, although others have to buy an access point device separately. The router has hotspot software embedded. The device is then connected to the PC using a cable to operate the software. The Wi-Fi voucher entrepreneur then sells the Wi-Fi signal through agents like Yuyun. They install access point devices in the agent’s house or corner shop so the signal can be distributed there. Ideally, Wi-Fi users should be maximum of five meters from the access point device to get optimum signal strength.

The router, access point devices, and other tools needed for this business are not hard to procure. These tools can be purchased easily at local computer stores or through e-commerce platforms. The prices also vary and are dynamic following the fluctuation of the USD exchange rate.

The quality of the Wi-Fi signal is more stable than the ordinary mobile network signal because it comes from an optical cable and is relayed by several extenders constantly. Errors or outages are rare. When they occur, it is usually for three reasons. First, the big providers may experience system disruption, for example, due to extreme weather. Second, the Wi-Fi entrepreneur may not have paid the internet subscription bill to the primary provider. Third, the access point device may be damaged, for example, due to unstable electricity or lightning strikes. Disruptions are rare because the big providers carry out system maintenance routinely and the electricity supply is usually good. However, if services are disrupted, an agent like Yuyun cannot do anything because they depend heavily on the performance of the Wi-Fi entrepreneur and the primary provider.

The Wi-Fi voucher model is not something new. Big mobile providers like Telkomsel have previously sold internet voucher products at affordable prices. The demand for internet packages has increased since 2013, along with the widespread use of Android-based mobile phones. However, the bigger mobile providers’ signal usually comes from a base transceiver station (BTS) tower, which is not as stable as the signal from optical cables. Compared to optical cables, the BTS tower has a broader coverage area. The signal from the BTS tower faces more obstacles or blockaders, such as hills, large trees, and buildings, resulting in blanks spots. The Wi-Fi voucher business carried out by local entrepreneurs who use optical cables covers these gaps.

The Wi-Fi voucher customers are diverse. However, Yuyun observed that the low-priced packages are usually in demand by children and teenagers, while adults usually consume the more expensive packages. The Wi-Fi voucher is used mainly for online gaming, streaming via YouTube and Facebook, and downloading big-sized data. These vouchers have also helped support school-from-home activities, which corresponds with MSC’s study that household internet needs have spiked during the pandemic.

Coming back to Yuyun, we see that despite limited access to resources, Wi-Fi vouchers proved to be an opportunity. The entrepreneur used the internet to develop her business despite limited access to resources. However, information obtained from the internet was not the only inspiration for Yuyun to become technologically savvy. For example, migrant neighbors or relatives visiting from the city also gave Yuyun insights into current events and opportunities for those like her who lived in rural Indonesia.

Even though Yuyun is internet literate, she is yet to explore other technological tools and services. For example, she has never tried using digital payments. Her store on the e-commerce platform Shopee is dormant, and she is yet to reactivate it. Yuyun is young and relatively more tech-savvy compared to other micro-entrepreneurs in her village. However, concerted efforts from both public and private sectors are needed to enable digital infrastructure and provide digital skills to micro-enterprises in remote rural areas. These efforts can then speed up the trickle of benefits from Indonesia’s booming digital economy down to the villages like Gunungpayung.

Countries such as India and China now harness the benefits of public investments from building an inclusive digital infrastructure. Yet digital infrastructure alone is not adequate to ensure inclusive digital ecosystems: awareness, skills, and the application of digital tools are required.

Indonesia has set ambitious goals through the BAKTI program, UKM Naik Kelas, and Payments Vision 2025 to ensure that country is well prepared to build an inclusive digital economy. While such programs encourage the private sector to provide digital services to the last mile, they must also use rural community networks to ensure effective delivery and enhanced adoption of their program and initiatives. Involving and empowering rural entrepreneurs like Yuyun is crucial.