China launched a national pilot program for long-term care insurance (LTCI) in 2016 in 15 cities; it was expanded to 49 pilot cities or zones in 2020. Local LTCI policies and certain observed results are heterogeneous; systematic causality attributable to geography is not demonstrated. What this evaluation brings to light goes beyond Chinese care policy: it poses a fundamental question about the capacity of centralized systems to produce uniform progress when territories are not equally equipped.

The Essentials

  • Chinese LTCI reduces the need for instrumental assistance (shopping, home management) among those 65 and older, but does not improve fundamental capacities such as washing or moving about, according to a 2024 NCBI evaluation.
  • Program scores vary from 57.5 to 92.5 depending on regions (out of 100), a disparity that reflects unequal density of home care services across the territory.
  • With 217 million people over 65 years old in 2023 (15.4% of the population) and a projection of 77 million disabled seniors by 2030, the issue of coverage is structural.
  • The mechanism is clear: strong central funding produces rapid deployment, but the actual effect depends on local care infrastructure, and this remains deeply fragmented.
  • The tension between funding uniformity and diversity of territorial capacities foreshadows the challenge that all aging economies will have to resolve in the coming decades.

LTCI, Eight Years After Its Launch: A Mixed Assessment

The Chinese long-term care insurance program was designed to respond to a demographic reality that left little room for maneuvering. At the end of 2023, China had 217 million people aged 65 and over, representing 15.4% of its population. This figure grows each year. The literature cites a projection of more than 77 million disabled elderly adults by 2030. Facing this pressure, Beijing oversaw a pilot expanded to 49 cities or zones in 2020; financing and expanding coverage are largely determined at the local level within the national framework.

The 2024 NCBI evaluation addresses the design and content of local policies, not a causal effect of LTCI on instrumental autonomy. Available data do not allow establishing a general effect of the program on instrumental autonomy scores, or IADL, such as shopping, managing one’s home, or using transportation. Policies and their evaluation scores are heterogeneous; this study does not allow concluding that there is heterogeneity in IADL outcomes for beneficiaries.

Regarding ADL, in contrast, fundamental Activities of Daily Living such as washing, dressing, getting up, or eating without assistance, the program produces no measurable effect. Elderly people whose physical autonomy is most degraded do not derive documented functional benefit from LTCI. Available data do not allow attributing observed results to insufficient local capacity.

Unequal Effects of the Same Insurance Across Regions

The most telling figure in the evaluation is the range of scores: 57.5 to 92.5 out of 100 depending on the region, for an average score of 71.8. Funding modalities vary locally and constitute one of the dimensions considered in score disparities. Gaps reflect a multidimensional grid for evaluating local policies, including notably financing, coverage, services, and administration.

Available data do not allow establishing that coastal regions and major metropolitan areas systematically have more developed infrastructure or measuring its effects on LTCI beneficiaries.

Available data do not allow generally characterizing the supply of caregivers, day care facilities, and home services according to these regional categories.

Available data do not allow establishing that LTCI finances, in these regions, nonexistent or insufficient service provision. The pilot LTCI is a device with partial and variable coverage depending on cities, primarily intended for insured persons and heavily dependent eligible individuals.

This pattern is documented in other countries. Japan, which launched its own long-term care insurance system (kaigo hoken) in 2000, encountered similar difficulties in its rural regions, despite coherent national financing. Germany, with its Pflegeversicherung created in 1995, took two decades to partially fill regional inequalities in caregiver density. The Chinese case reproduces this pattern at a demographic scale without equivalent.

Central Financing That First Produces Speed, Then Rigidity

Carl Benedikt Frey, economist of innovation at Oxford, developed in his work a thesis on the dynamics of centralized institutions facing technological and social progress. His reading of industrial history shows that systems that concentrate authority and limit local competition often produce rapid initial deployment by mobilizing resources at large scale, then enter sclerosis when needs diversify and local responses cannot adapt without central authorization. Chinese LTCI illustrates this mechanism with almost pedagogical precision.

The pilot was launched in 2016 in 15 cities and expanded to 49 cities or zones in 2020. No Western democracy could have imposed a similar program so quickly. Coverage expanded, funds were mobilized, a national architecture was established. These are achievements that matter.

But as soon as the evaluation looks beneath the surface, the model’s limitations appear. The program finances what central institutions can measure and allocate: hours of care, codified benefits, administrative categories of autonomy. It does not finance, and cannot directly finance, training a caregiver in a Sichuan village, creating a day care facility in a Yunnan town, or networking local associations in inland provinces. These are capacities that are built over decades, with active local governance.

The analogy with other infrastructure policies is useful here. When China deployed its high-speed rail networks, the deployment speed was impressive, but stations built far from urban centers long functioned empty, lacking a local ecosystem to support them. LTCI reproduces this logic in the care sector: the central envelope exists, but the ecosystem that gives it content is unevenly developed.

The Contribution of Institutionalist Analysis to Diagnosis

LTCI raises a care governance question that goes beyond allocated amounts or deployment speed. Daron Acemoglu and Simon Johnson, in their work on institutions and the distribution of gains from technological progress, show that the way a system is governed, who decides, who controls, who adapts, largely determines who benefits from its effects. The national framework establishes common rules, while implementation modalities vary across pilot cities.

Available data do not allow prioritizing financial and institutional factors in LTCI outcomes. The effects of increased financing are not established; the pilot framework combines national standards and margins for local adaptation. Available data do not allow attributing score gaps to local institutional capacity, municipal administration, professional associations, or local experimentation. Central financing gave them leverage; preexisting infrastructure gave them purchase.

This reading does not invalidate the program. A national financing system for long-term care is necessary, and its absence would be worse than its current imperfections. But it invites distinguishing deployment from adaptation, whose modalities can vary across pilot cities.

Public Policy Requirements Facing 77 Million Disabled Seniors by 2030

The projection of 77 million disabled seniors by 2030 constitutes a public policy challenge whose contours are known. Partial solutions already exist in other aging economies. China must have the time and institutional mechanisms to deploy them at the scale that is its own.

Two trajectories emerge from available data. The first extends the current model: reinforced central financing, gradual LTCI expansion to new cities, improved benefit schedules. The effects of such a trajectory on scores and care needs are not established. The geographic distribution of dependent elderly persons and their effective access to LTCI are not established by available data.

The second trajectory requires a shift in institutional gravity: delegate to provincial and municipal governments an increasing share of service design and management, while setting national quality objectives without standardizing delivery modalities. Local experiments exist in certain pilot cities, but their effects on home care provision are not established by available data. These hybrid models have not yet been evaluated at large scale, but their initial results suggest that decentralized governance of delivery can coexist with central financing.

The signal to watch in coming years will be the decision, or not, to extend these hybrid experiments beyond major eastern metropolitan areas. If second-generation LTCI reform maintains the logic of national standardization, the regional gradient will persist. If it integrates an architecture of progressive delegation, regions with weak infrastructure could narrow part of the gap, not in a decade, but over a horizon of fifteen to twenty years.

Caregiver training constitutes another structuring signal. China chronically lacks qualified geriatric personnel. Future caregiver needs depend notably on training, remuneration conditions, and service organization. This deficit requires training programs, attractive remuneration, and social revaluation of the profession. These conditions can contribute to local LTCI implementation.

Lessons from the Chinese Case for Aging Systems

Japan, South Korea, Germany and, within a decade, India and Brazil will face similar demographic equations. All share the temptation of the centralized model for understandable reasons: deployment speed, political clarity, capacity to mobilize resources at large scale. The evaluation of Chinese LTCI offers concrete instruction on the limits of this approach.

Sustainable financing is important, but the Chinese pilot model relies primarily on locally determined mechanisms within a national framework. Adequate local care infrastructure is an important condition, but not sufficient by itself. Building this infrastructure requires time, active governance at the local level, and an adaptive capacity that highly centralized systems struggle to produce. Financing must remain centralized, with minimum standards; service design and adaptation to local needs must be distributed.

The question that remains open, for China as for its neighbors, is that of pace. Building care infrastructure takes decades. The 77 million disabled seniors projected for 2030 do not have decades ahead of them. It is in this gap between the long time of institutions and demographic urgency that the true challenge of future aging policies lies. What is done in the interim—local experiments, progressive delegation, partnerships with private and nonprofit sectors—will determine how many people fall through that gap.

Sources

  1. NCBI 2024, Evaluation of the Chinese LTCI Program (China Health and Retirement Longitudinal Study): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12834800/
  2. Carl Benedikt Frey, The Technology Trap: Capital, Labor, and Power in the Age of Automation, Princeton University Press, 2019
  3. Daron Acemoglu & Simon Johnson, Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity, PublicAffairs, 2023
  4. National Bureau of Statistics of China, Communiqué on Population 2023 (figure of 217 million people over 65)
  5. Organisation for Economic Co-operation and Development (OECD), Health at a Glance: Asia/Pacific, successive editions, for regional comparisons on long-term care systems