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外 Waitan Ludi Policy Terminal China industrial-policy monitor · updated 2026-10-25
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Results: provincial responsiveness

The pre-registered test: the decline is not statistically established (0.61, 0.28–1.07).

The pre-registered test of the Insights headline ("28% of directives answered within a year for 2013–15, 12% for 2022–26"), run under reports/pap_responsiveness.md with the deviations logged in its section 12. Outputs are in reports/data/pap/ (p1_20261022.json, rivals_20261022.json, s3_…, r6_…, title_only_…), from analysis/pap_run.py, pap_rivals.py, pap_s3.py, pap_r6.py and pap_title_only.py on inputs frozen in reports/data/pap/inputs_20261022/.

A first version of this note was written with an event rule that missed later basis responses. It used the first citing document's flag instead of basis_doc_id, affecting 29 response rows. Everything below uses the corrected rule; the correction is logged in the plan's section 12.

Verdict

Failed, narrowly. The point estimate says provinces in the primary panel answered State Council directives about 40% less often in 2022–25 than in 2013–15. But on the 150 labelled directives the 95% interval reaches just past 1, so under the plan's rules the decline is not established.

EstimandRR (2022–25 ÷ 2013–15)95% intervalVerdict (section 8)
P1: basis response within a year, standardised to the 2022–25 mix, corrected for coverage0.610.28–1.07failed
Published figure (for comparison)0.45——

P1 uses only the directives with coder labels (40 early, 30 late; 120 and 90 directive–province pairs), as 5.2 step 4 requires once the regex mandate screen failed. The expected-precision simulation (section 12) already showed that the primary panel cannot reliably reach "held" at this size. The extended panel (S2) is where the power is.

Sensitivities

VersionRR95% intervalVerdict
2013–15 mix (the plan as first written)0.580.28–1.01failed
No coverage correction0.540.24–0.99shrank
No correction, province-years with coverage ≥ 0.8 only (in effect Guangdong, 82 pairs)0.760.22–1.60failed
XJ's mandate labels instead of the tie-broken ones0.570.26–1.01failed
Unstandardised, uncorrected0.46——

Fujian's gazette (collected 2026-10-25, 2012–2016 only). It is a complete published list for those years. We hold 19–40% of its 闽政 and 闽政办 documents (0.22, 0.19, 0.29, 0.36, 0.40), lower than the serial estimate used (0.39–0.46). With these as Fujian's 2012–16 coverage, P1 is 0.59 (0.27–1.04, failed): the early correction was a little too small, not the cause of the verdict. Late coverage for Fujian and Anhui is still serial-based (fj_gazette_sensitivity_20261025.txt). The gazette's own documents are not added to the panel, since collection for one cohort only would break the collection rule (5.1).

The verdict sits on the line: every version's upper bound is between 0.99 and 1.07, apart from the Guangdong-only subset.

Raw one-year response rates by window, all three provinces (r1_windows_20261022.txt):

DirectivesPairsRateAnhuiGuangdongFujian
Window ends before 2019-05-152010.350.490.390.16
Window straddles 2019-05-15510.350.470.410.18
2019-05-15 to 2021960.280.310.310.22
2022 on990.140.180.180.06

The fall is concentrated in directives from 2022 on. Guangdong's coverage is essentially complete against its gazette (0.92–1.00 every year), and it falls too, from 0.39–0.41 to 0.18.

Two-year incidence (S3)

EstimandRR95% intervalVerdict
S3: basis response within two years, 2019–23 against 2013–15 directives0.800.57–1.09failed

Its late cohort, 2019–23, is mostly the 2019–21 directives, which are answered only somewhat less than 2013–15 ones. A one-year ratio on the same pairs is close to the two-year one, so responses are not arriving later.

Cox model, for continuity (S4)

EstimandEstimate95% interval
Cox HR, 2022–25 against 2013–15 (mandate and kind adjusted, stratified by province, errors clustered by directive; no coverage correction)0.420.20–0.87 (p = 0.02)
Time-varying cohort effect (late × log t)coefficient −0.43p = 0.31: no evidence the gap changes over the year
Restricted mean time to response within 365 days293 days early, 337 late+44 days

Like P1 without the coverage correction (0.54, 0.24–0.99), the Cox model excludes 1. What pulls P1's interval past 1 is the correction for Fujian's and Anhui's low collection coverage, which raises and spreads both cohorts' corrected incidence. So the verdict depends on how coverage is measured for those two provinces. Their serial estimates count documents issued, not published, and so err toward over-correction (5.1). A published-document frame like Guangdong's gazette would settle it.

Peer effect (S6, exploratory)

Term (Cox, time-varying)HR95% intervalp
Each other panel province that has already responded1.590.94–2.680.09
The same, × the 2022–25 cohort1.820.55–6.080.33

There is weak evidence that a province responds sooner once its peers have, and no evidence that this changed. The errors are model-based, not clustered (s6_20261022.json).

Rival explanations

A rival accounts for the decline when it moves log RR at least halfway to zero, and for part when a quarter to a half (section 6).

RivalTestAdjusted RRResult
R1 disclosure fell (2019 rule)Timing: is the decline concentrated in windows after 2019-05-15?—Partly. The rate steps from 0.35 to 0.28 after the rule, and the main fall (0.14) comes with 2022 directives. The disclosure-rate test itself was not run
R2 we collect less of recent yearsP1 against no correction0.54 uncorrectedDoes not account: the correction moves RR toward 1 a little, from 0.54 to 0.61
R3 directive mix changedP1 within M2 directives only0.69 (0.26–1.32)Accounts for part (26%). Both coders put M2 at 48–50% of 2013–15 directives and 37% of 2022–25 ones
R6 authority moved to the PartyS1 with B4, θ = 0.05 (θ = 0.013 gives 1.01)0.87 (0.48–1.57)Accounts, as computed, but see below
R7 copying without citingS1 with B1, θ = 0.013 (pre-fixed)0.81 (0.51–1.19)Accounts, as computed, but see below
S1 with B1, θ = 0.050.60 (0.32–0.97)Does not account
R8 our extractor driftedP1 with cohort recall correction (1.00 early, 0.88 late)0.69 (0.32–1.22)Accounts for part (26%)
R8, title-only citationsCitations of an 印发《X》 directive by its inner title 《X》, counted0.63 (0.31–1.08)Does not account (7%); 3 such pairs
R9 dating artefactsOwn-dated responses only0.61Does not account: 1,164 of 1,166 response documents carry their own date
R10 right-censoring——Excluded by design
R5 responses delegated to departmentsS1 with B3: department basis responses counted (b3_departments_20261022.csv)0.64 (0.31–1.13)Does not account (12%). Department-only responses are 0.8%, 0.9%, 2.5% and 1.1% of pairs by cohort. Only 817 department documents are held for the three provinces, so this is a weak test
R4 responses through ministriesB2: a provincial-government document whose basis is a ministry document that itself states the directive as its basis (b2_ministry_20261022.csv)—Does not account: 1 directive–province pair in the whole panel. Of 3,278 ministry documents held, 284 state a directive as their basis, and provincial governments almost never cite those as theirs

R7 at θ = 0.013 is driven by false matches (exploratory, not in the plan).

R6 rests on a handful of documents of one kind.

Silent adoption and citation without adoption (S5, θ = 0.05): 3.3%, 0.9%, 5.8% and 3.3% of pairs silently adopt, and 3.3%, 2.6%, 2.5% and 2.2% cite without adopting. Neither has a trend.

Validation (section 9)

CheckResult
Basis-response precision (9.2)1.00 by DXP's labels, 0.99 by XJ's
Recall (Horvitz–Thompson, 9.2)1.00, 0.94, 1.00, 0.88 by cohort
Inter-coder α, responses0.93 (basis or not 0.99)
Inter-coder α, mandate0.78 overall; 0.88, 0.79, 0.59, 0.84 by cohort
Inter-coder α, adoption0.76 overall; 2013–15 0.65
Regex mandate screen against the codersα ≈ 0 (it finds 13 of 82 M2), so it fails 5.2 step 4
θ (5.3 B1)0.013 under either coder's labels; precision by cohort 0.74–0.87 at 0.013, 0.89–1.00 at 0.05

About the labels:

What this means for the headline

Not yet done