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Data for: Research on the impact of low-carbon city pilot policy on green total factor productivity of manufacturing enterprises

低炭素都市パイロット政策が製造業企業のグリーン全要素生産性に与える影響に関する研究のデータ (AI 翻訳)

Kalbinur Kahar

Mendeley Dataデータセット2026-06-09#政策Origin: CN対象セクター: manufacturing
DOI: 10.17632/5gj539cgb9.1
原典: https://doi.org/10.17632/5gj539cgb9.1

🤖 gxceed AI 要約

日本語

本データセットは、中国の低炭素都市パイロット（LCCP）政策が製造業企業のグリーン全要素生産性（GTFP）に与える影響を分析するためのものです。2007～2027年の中国上場製造業企業のパネルデータを用い、段階的差分の差分法（DID）を採用しています。分析の結果、LCCP政策はグリーン技術革新の促進と資金調達制約の緩和を通じてGTFPを向上させることが示されました。

English

This dataset supports research on the impact of China's Low-Carbon City Pilot (LCCP) policy on green total factor productivity (GTFP) of manufacturing firms. Using a staggered difference-in-differences model on a panel of Chinese listed manufacturing firms from 2007 to 2027, the analysis shows that LCCP policy significantly enhances GTFP through promoting green technology innovation and alleviating financing constraints. Market power negatively moderates the effect, and the effect is stronger for SOEs and high-pollution firms.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

中国の低炭素都市パイロット政策の実証分析であり、日本の製造業における脱炭素政策の効果検証や中国市場で事業展開する日本企業にとって示唆に富む。

In the global GX context

This paper provides rigorous empirical evidence on the effectiveness of place-based low-carbon policies in improving industrial green productivity. It contributes to the global literature on policy evaluation for decarbonization, with insights for policymakers designing similar transition policies.

👥 読者別の含意

🔬研究者:Empirical researchers can learn from the staggered DID design and mechanism tests for policy evaluation.

🏢実務担当者:Corporate sustainability teams in manufacturing may find the evidence on green technology innovation and financing constraints useful for strategy.

🏛政策担当者:Policymakers can use the findings to assess the impact of localized low-carbon policies on manufacturing productivity.

📄 Abstract（原文）

1. Hypotheses： H1: The LCCP policy can enhance the green total factor productivity (GTFP) of manufacturing firms. H2: The LCCP policy can improve manufacturing firms' GTFP by promoting green technology innovation. H3: The LCCP policy can improve manufacturing firms' GTFP by alleviating financing constraints. H4: Ceteris paribus, the stronger the market power of a firm, the weaker the positive effect of the LCCP policy on its GTFP. 2. Dataset Content This dataset is an unbalanced panel of Chinese manufacturing listed firms from 2007 to 2027, covering all three batches of the Low-Carbon City Pilot (LCCP) policy (2010, 2012, 2017). 3. Variables The dependent variable is green total factor productivity (GTFP), measured using the super-efficiency EBM-GML index. The core explanatory variable is the LCCP policy dummy interaction term (treat × time), where treat indicates whether a firm is located in a pilot city, and time is a dummy variable for the post-policy period. The mediating variables are green technology innovation and financing constraints. The moderating variable is market power. Control variables include firm size (Size), ownership type (SOE), leverage ratio (Lev), return on equity (ROE), liquidity ratio (Liquid), revenue growth rate (Growth), shareholding ratio of the top five shareholders (Top5), and management expense ratio (Mfee). 4. Data Sources and Methodology Firm-level data are mainly sourced from the Wind, CSMAR, CNRDS databases, and annual reports of listed companies. City-level data are obtained from the China City Statistical Yearbook. The baseline model is a staggered difference-in-differences (DID) model with firm and year fixed effects. The dataset also supports mechanism tests and heterogeneity analyses by equity balance, ownership nature, and pollution intensity. 5. Key Findings The LCCP policy significantly enhances the GTFP of manufacturing firms, and this effect operates through two pathways: promoting green technology innovation and alleviating financing constraints. Market power negatively moderates the policy effect. Moreover, the policy effect is more pronounced among firms with higher equity balance, state-owned enterprises (SOEs), and firms in heavily polluting industries.

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