1{"record_id": "84fe25f12d7833b71a83f2c2ae3a06dfc013ffcf", "eligible": true, "short_ref": "Fu et al. (2019)", "country": "China", "city": "Beijing and Shanghai", "property_type": "residential plots (apartment estates), plot-level average", "price_type": "log selling price (10,000 RMB, FANG.com purchasing records, plot-level)", "n_obs": null,2 "sample_period": "2015", "data_source": "FANG.com house purchasing records + Baidu Street View panoramas (71,332 Beijing / 91,759 Shanghai) + Baidu POI + AutoNavi roads", "methods_compared": ["robust OLS double-log hedonic without view indices", "robust OLS hedonic with GVI", "robust OLS hedonic with GVI+BVI", "robust OLS hedonic with GVI+BVI+SVI"],3 "best_method": "robust OLS hedonic with all three street-view indices", "metric": "R2", "best_value": 0.7242, "hedonic_value": 0.7242,4 "test_set": "none", "features_ai": "street-view CNN",5 "incremental_ai_gain": 0.0421, "incremental_ai_metric": "R2 (Beijing: +0.0421 from adding GVI, BVI, SVI to the baseline hedonic; Shanghai: +0.0297; stepwise contributions GVI 0.0214/0.0184, BVI 0.0032/0.0025, SVI 0.0175/0.0088)", "marginal_effects": "coefficients", "notes": "Table 2 full model adjusted R2 = 0.7242 (Beijing) and 0.7511 (Shanghai), in-sample robust OLS; best_value reports Beijing. AI features are PSPNet semantic-segmentation view indices (green, building, sky) aggregated over 800-m road buffers around each plot. Number of residential plots is not printed in the main text (data on figshare). Implicit prices: 1% GVI increase -> +0.3151% price (RMB 39,377) in Beijing, +0.1853% (RMB 21,689) in Shanghai; SVI +0.0899%/+0.0466%. All models are in-sample; no holdout.", "confidence": "high"}6