Young people's perceptions of the challenges and opportunities during the Mainland China–Hong Kong convergence

After the 1997 handover and under “One Country Two Systems,” Mainland China–Hong Kong convergence (CHC) has intensified, coinciding with growing socio-political controversies and youth-led demonstrations. Authorities and observers suggest that beyond politics, blocked socio-economic progression and CHC-related pressures contribute to youth discontent. This study asks: what opportunities and challenges do young people perceive during CHC, and what factors are associated with their acceptance of convergence? Focusing on 1997–2017, the study aims to identify CHC-related facilitators and barriers from youths’ perspectives to inform policy that can ease tensions and support smoother convergence.

Education: University places are limited (fewer than 23% enrolled), with low-income students underrepresented (<15%). Returns to higher education have weakened; graduates face similar pay to secondary school completers, fiercer competition, and more contract-based middle-class jobs. Youth income growth lags the overall workforce; many carry student loan burdens, reducing upward mobility and heightening pessimism.

Housing: Private property prices surged after 2003; policies (e.g., eligibility of non-locals to gain residency via property investment) and supply shortfalls worsened affordability. Youths spend over 40% of income on housing; only ~11% of those aged 30–35 own property and many live with parents. Public housing eligibility thresholds exclude many ordinary workers, creating a trap between earning more and qualifying for subsidized housing. Developers’ hoarding and insufficient public supply exacerbate problems.

CHC: Policies (e.g., talent schemes) increased mainland presence in Hong Kong’s economy, higher education, and labor market, heightening competition. Locals perceive resource competition in education and social services; social frictions and stereotypes emerged. Tourism inflows via the Individual Visit Scheme brought congestion and crowding. Some describe “mainlandization” of policies, economy, and culture, fueling localism and identity differentiation. While CHC may offer growth and mobility, youth often experience invasion shocks and fear for their middle-class prospects.

Design: Mixed-methods with sequential exploratory design. Phase 1 used qualitative focus groups to identify grounded themes; Phase 2 constructed a quantitative questionnaire from those themes and tested relationships via OLS regression while controlling for demographics. Informed consent was obtained.

Focus groups: Ten groups (March–May 2017), ~2 hours each; N=83 permanent Hong Kong residents recruited via purposive sampling to maximize diversity (age, gender, occupation, political spectrum, education). Participants included political activists across spectra, students from varied institutions/programs, and professionals (e.g., medicine, surveying, accounting, education, social work). Discussions covered CHC, housing, education, economy/business, employment, culture, politics/society, and social cleavages. Sessions were audio-recorded, transcribed, coded line-by-line, and thematically analyzed with reflexivity. Four main themes emerged: (1) challenges associated with entrepreneurship and innovation (EI), (2) housing challenges (HC), (3) socio-economic challenges (SEC – social and economic), and (4) opportunities via CHC (acceptance of Chinese identity, cross-border living/working, and convergence).

Survey: A self-administered questionnaire (15–20 minutes) was developed from qualitative themes; pilot-tested for feasibility and reliability. Data collection (July–September 2017) used three channels: on-campus, food courts/high-traffic locations across Hong Kong Island/Kowloon/New Territories, and online/email (to include NEET youth). Valid responses: N=1253 (44.1% male; mean age 27.2; 48.7% bachelor’s or above; 32.4% rented housing). Occupations classified per ISCO.

Measures: Four constructs rated on 5-point Likert scales (1=strongly disagree to 5=strongly agree). EI (4 items) assessed perceived need for tech/industry diversification and support for entrepreneurship; HC (6 items) assessed pro-local housing policy preferences (e.g., stamp duty on non-locals, linking HOS prices to median income, more subsidized housing, developer unit-size restrictions); SEC (16 items) captured social and economic challenges (e.g., constrained self-expression, declining freedoms, insufficient income, loss of local/international characteristics, resource inequality, consortia dominance, lack of diversification); CHC (8 items) measured acceptance across Chinese identity, cross-border living/working, and convergence. Internal consistency (Cronbach’s α): HC 0.768; EI 0.845; SEC 0.812; CHC 0.818. Composite scores (means out of 5): HC 4.051; EI 4.003; SEC 3.466; CHC 2.829.

Analysis: Descriptive statistics, distribution checks (skewness/kurtosis), and OLS regressions predicting CHC from each main predictor separately while controlling for age, gender, marital status, personal income, homeownership, and employment. Four models tested H1–H4.

Qualitative:

• Youth identified three major challenge domains: (1) entrepreneurship and innovation constraints (insufficient policy support, regulation barriers, lack of R&D, capital, networks; monopolies/consortia dominance; high commercial rents; industrial monotony favoring finance/real estate/services), (2) housing challenges (unaffordable prices/rents; perceived policy bias; developer hoarding; exclusion from public housing due to stringent thresholds), and (3) socio-economic challenges (resource inequality, constrained expression, pressure to conform, low and disproportionate pay, intergenerational tensions, perceived political dysfunction, loss of local characteristics and competitiveness).
• Opportunities attributed to CHC centered on: acceptance of Chinese identity (with calls for mutual respect and autonomy), cross-border living/working (more jobs, entrepreneurship opportunities, lower costs on the mainland; Hong Kong youths’ soft-skill advantages), and acceptance of convergence (policy and infrastructure benefits like high-speed rail and Stock Connects; learning from mainland e-commerce/FinTech models).

Quantitative:

• Reliability and central tendency: Cronbach’s α ranged 0.768–0.845. Composite means: HC 4.051, EI 4.003, SEC 3.466, CHC 2.829 (indicating stronger perceived challenges than acceptance of CHC overall). Many agreed that CHC-related cooperation could increase mainland employment opportunities for Hong Kong youth (CHC item mean 3.43).
• OLS regressions (controlling age, gender, marital status, income, homeownership, employment): • H1: HC → CHC: negative (B = −0.21, p<0.001). Greater housing challenges predict lower acceptance of CHC. • H2: Education → CHC: negative (B = −0.05, p<0.001; small effect). Higher educational attainment predicts lower acceptance of CHC. • H3: SEC → CHC: strongly negative (B = −0.69, p<0.001). Greater socio-economic challenges predict lower acceptance of CHC. • H4: EI → CHC: positive (β = 0.11, p<0.01). Greater perceived EI challenges associate with higher acceptance of CHC (i.e., viewing convergence as a pathway to EI-related opportunities).
• Among controls, employment had a significant positive association with CHC across models; age effects were small and borderline.

Overall inference: Youth generally perceive substantial challenges in housing, socio-economics, and EI. Acceptance of CHC is mixed and below neutral on average, yet many recognize specific CHC-linked opportunities, particularly for jobs/entrepreneurship on the mainland.

The study clarifies how different domains of youth challenge perceptions relate to acceptance of Mainland China–Hong Kong convergence. Stronger housing and socio-economic pressures and higher education levels are associated with lower CHC acceptance, suggesting that those most constrained in local structures and those with higher educational investments are more skeptical of convergence. Conversely, youths perceiving EI-related challenges are more open to CHC, perhaps seeing cross-border integration as a route to diversify industries, access capital/space, and pursue startups.

These results explain youth discontent during convergence by linking structural barriers (housing affordability, consortia dominance, industrial monotony, perceived inequality) to reduced willingness to engage with cross-border opportunities. At the same time, the qualitative findings highlight nuanced opportunity recognition—acceptance of Chinese identity under conditions of respect and autonomy, and pragmatic openness to cross-border work/living when it yields tangible mobility gains. Policy significance lies in addressing domestic constraints (especially housing and industrial diversification) to raise youth acceptance of and ability to benefit from convergence.

The study contributes an empirically grounded, mixed-methods account of Hong Kong youths’ perceived challenges and opportunities during CHC (1997–2017). It identifies three key challenge domains—housing, socio-economic, and EI—and shows via OLS that housing and socio-economic challenges and higher education correlate with lower CHC acceptance, whereas EI challenges correlate with higher acceptance. Despite overall cautious or pessimistic views of CHC, youths recognize concrete opportunities in cross-border employment and entrepreneurship.

Policy implications include: (1) expanding subsidized/affordable housing and regulating developers/speculation; (2) diversifying the economic/industrial base beyond finance/real estate through innovation policy, R&D support, and SME/entrepreneurship platforms; (3) ensuring balanced, mutually beneficial CHC policies that preserve Hong Kong’s unique legal/cultural/economic features while easing access to mainland opportunities; and (4) reducing privileges of interest groups and aligning rewards with individual effort to bolster perceptions of fair mobility. Future research could employ longitudinal designs, validated multi-context measures, and post-2017 cohorts to track evolving attitudes and evaluate policy impacts on convergence acceptance and youth mobility.

• Timing: Data reflect perceptions circa 2017; subsequent socio-political and economic changes may limit temporal generalizability.
• Measurement: Scales were newly constructed for this unique context (no pre-existing validated tools), though internal consistency was acceptable; further validation (e.g., construct, criterion validity) is warranted.
• Sampling: Focus groups used purposive sampling and the survey employed convenience/venue/online approaches; samples are not probability-based, limiting population generalizability.
• Design: Cross-sectional analyses preclude causal inference; OLS models test associations only.
• Context specificity: The CHC under “One Country Two Systems” is unique; external generalizability to other settings may be limited.