Escaping poverty: changing characteristics of China's rural poverty reduction policy and future trends

The paper addresses how China’s rural poverty governance has evolved from absolute to relative poverty contexts and identifies optimal policy instruments for the new phase. It situates poverty within classic debates (absolute vs. relative poverty) and highlights China’s rural poverty trajectory since reform and opening-up, where rapid growth widened urban-rural gaps and prompted large-scale anti-poverty initiatives. Absolute rural poverty declined dramatically between 1985 and 2000, and by 2020 China met its poverty eradication targets under existing standards. With absolute poverty eliminated, governance priorities are shifting to relative poverty, requiring prevention of relapse and reduction of dependency. The study poses two questions: (1) What characterized the government’s poverty governance model and operational logic during absolute poverty governance? (2) In the relative poverty period, how is policy logically related to prior approaches, and which policies should be adopted? The paper aims to reveal dynamic changes in policy instruments, assess their utility and limitations, and offer optimization suggestions with broader implications for global poverty reduction.

The review surveys typologies of policy instruments and factors shaping their selection. Classifications include regulatory vs. non-regulatory (Dahl & Lindblom), government supply/production/subsidies/regulation (Hughes), supply/environment/demand (Rothwell & Zegveld), and voluntary/hybrid/coercive (Howlett & Ramesh). Instrument “fit” with targets, state capacity, civil society, time, domain attributes, instrument attributes, and policy strength affects effectiveness. Empirical applications in China span new energy vehicles, low-carbon city pilots, and power sector attention. Chinese scholarship often adopts the supply–demand–environment framework, applying it to environmental governance, energy policy, and photovoltaic poverty alleviation. In poverty alleviation, developing countries (including China) leverage financial support, infrastructure, education, talent development, employment, public services, savings/insurance to raise incomes and reduce vulnerability. However, inductive analyses using policy instrument typologies for poverty policy evolution remain scarce. This study fills that gap via content analysis of central policy texts (1984–2022), linking word frequency mining with coding to categorize and quantify poverty alleviation instruments and discuss their application in governance.

The study applies content analysis to 762 central government policy texts on rural poverty alleviation (1984–2022), primarily sourced from the Peking University Chinese Laws and Regulations Database and supplemented by official websites (State Council, Bureau of Rural Revitalization, and related agencies). Selection criteria: government-issued documents closely related to poverty reduction (e.g., notices, announcements, opinions, methods, decisions) across social development domains. Analytical framework: three dimensions—(1) time of policy issuance; (2) policy goals categorized as economic development, service support, and capacity building; (3) policy instruments using Rothwell & Zegveld’s supply-side, demand-side, and environment-side categories. Supply-side includes financial inputs, information services, talent training, infrastructure; demand-side includes government purchase, service outsourcing, market shaping, collaborative exchanges; environment-side includes target planning, regulatory control, tax incentives, guiding publicity. Using NVivo12, texts were coded via a three-level scheme: period–instrument type–specific content (e.g., A-1-d). A second coder validated credibility; disagreements were resolved and coding guidelines aligned. Recoding in reverse order yielded a Cohen’s Kappa of 0.875 (>0.81), indicating high reliability. The analysis quantified temporal trends, goal distributions, and instrument usage including secondary/tertiary nodes and content frequencies.

• Time evolution: Policy issuance increased over 1984–2022 with peaks in 2000, 2013, and 2018. Four stages were identified: (1) Regional development-oriented poverty alleviation (1984–2000; 109 documents), emphasizing subsistence resolution in poor counties; (2) Comprehensive poverty alleviation (2001–2012; 224 documents), shifting focus to poor villages and from “blood transfusion” to “blood creation”; (3) Precise (targeted) poverty alleviation (2013–2020; 429 documents), elevating strategy with top-level designs (e.g., rural revitalization, anti-corruption/formalism crackdown, deep poverty focus); (4) Relative poverty governance (2021–), currently exploratory.
• High-frequency keywords reflected shifting emphases: 1984–2000 (“economy,” “funding,” “education,” “minority,” “training”); 2001–2012 (“services,” “health,” “pilot,” “poverty-stricken village”); 2013–2020 (“accurate/precision,” “poverty registration,” “employment,” “assessment,” “urban–rural integration,” “planting industry”).
• Policy goals distribution (nodes): Economic development dominated 76.07% of nodes, with counts by phase: 186 (Phase I), 1510 (Phase II), 2414 (Phase III). Service support comprised <20%: 146, 375, 514. Capacity building comprised <5%: 11, 46, 201. Emphasis remained on infrastructure and economic growth, with comparatively limited attention to services and capabilities.
• Policy instruments by stage (percentage of nodes): • 1984–2000: Supply 71.85%; Demand 8.61%; Environment 19.54%. • 2001–2012: Supply 42.67%; Demand 14.22%; Environment 43.11%. • 2013–2020: Supply 43.47%; Demand 22.50%; Environment 36.31%. Demand-side use rose over time but remained comparatively low; environment-side increased notably in Phase II.
• Instrument content distribution (total nodes): • Supply-side (3235 nodes): Infrastructure construction 39.41%; Financial inputs 31.66%; Talent training 18.42%; Information services 10.51%. • Environment-side (2471 nodes): Tax incentives 37.51%; Target planning 36.02%; Guiding publicity 19.87%; Regulatory control 6.60%. • Demand-side (1202 nodes): Market shaping 44.18%; Collaborative exchanges 34.28%; Service outsourcing 11.06%; Government purchase 10.48%.
• Overall, poverty alleviation relied on government-led supply-side push complemented by environment-side support, with a marked deficit in demand-side pull. The production-oriented welfare model framed poverty reduction through economic growth and infrastructure, while service support and capacity-building goals were underemphasized.

Findings indicate China’s absolute poverty governance model was government-led, top-down, and production-oriented, prioritizing infrastructure and economic growth to generate trickle-down effects. While effective for rapid absolute poverty reduction, this approach yielded diminished marginal returns and risks of inequality widening and dependency when over-relying on financial inputs. The analysis shows a persistent imbalance: service support and capacity-building targets lag behind economic development, and demand-side instruments are underutilized. For the relative poverty era, the paper argues policies should break path dependence, align with an evolutionary governance pattern, and pivot to a collaborative, multi-actor model. Strengthening demand-side tools (e.g., market shaping, government purchasing, service outsourcing, collaborative exchanges) can add needed pull, while environment-side measures (laws, plans, tax incentives, advocacy) can shape conducive contexts. Enhancing capacity building and service support is crucial to foster endogenous motivation, human capital, and equitable distribution rather than only redistribution. The path dependency–institutional change lens suggests a co-evolution where old and new instruments coexist before path creation consolidates an optimized set for relative poverty governance.

China’s rural poverty governance achieved rapid absolute poverty reduction through a pressure-based, centralized, and government-led model centered on supply-side instruments and economic development. However, insufficient emphasis on internal motivation, education, service support, and capacity building limits sustainability. For the relative poverty phase, the study advocates: (1) following an evolutionary policy cycle with legal grounding, monitoring, third-party evaluation, and social oversight; (2) improving policy coherence and alignment to address multidimensional relative poverty; (3) coordinating instrument portfolios—optimizing supply-side quality (talent, information, public services, digitalization, vocational training); intensifying demand-side use (expanding procurement, leveraging markets, multi-stakeholder participation, service outsourcing); and strengthening environment-side guidance (laws/regulations, innovative finance and tax incentives, effective communication to build intrinsic motivation). These directions aim to transition from reliance on push forces to a balanced push–pull–environment system for sustainable, equitable rural revitalization and relative poverty governance.

The analysis of the current relative poverty governance phase (from 2021 onward) is limited, as this period is still exploratory and not discussed in depth.