Impact of embedded global value chains on the quality of export forest products in the context of “double cycle”

doi:10.12302/j.issn.1000-2006.202310017

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2025, Vol. 49 ›› Issue (2): 242-251.doi: 10.12302/j.issn.1000-2006.202310017

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Impact of embedded global value chains on the quality of export forest products in the context of “double cycle”

XIONG Lichun¹^,²(), ZHANG Zhiguo¹, CHENG Baodong³, WANG Fengting¹^,², XU Chenying⁴

1. College of Economics and Management,Zhejiang A & F University,Hangzhou 311300,China
2. Institute of Ecological Civilization,Zhejiang Province Key Cultivating Think Tank Research Academy for Rural Revitalization, Zhejiang A&F University,Hangzhou 311300,China
3. College of Economics and Management,Beijing Forestry University,Beijing 100083,China
4. College of Art and Design, Zhejiang A&F University,Hangzhou 311300,China

Received:2023-10-18 Accepted:2024-04-08 Online:2025-03-30 Published:2025-03-28

Abstract

Abstract:

【Objective】This study clarifies how embedded global value chains affect the quality of exported forest products and their internal mechanisms and provides theoretical and policy references for countries to achieve high-quality development through reliance on forest products. 【Method】This study focused on wood forest products, calculating the global value chain participation index and the quality of exported forest products based on the data from ADB-MRI2021 and the FAO Statistical Yearbook of Forest Products. It conducted in-depth empirical research using the fixed effect model in conjunction with the current situation. 【Result】(1) Global value chain participation significantly enhanced the quality of exported forest products. (2) The per capita GDP, the output of forest products, and the labor input from exporting countries were the primary factors influencing the quality of exported forest products. (3) For developed countries, global value chain participation had minimal impact on the quality of exported forest products; however, for developing countries, it significantly boosted the quality. (4) Both forward and backward participation in the global value chain significantly improved the quality of exported forest products, with backward participation having a deeper positive impact. 【Conclusion】First, focus on improving “quality” and avoid “low-end locking.” Second, optimize the input of human capital to mitigate its negative effects. Third, emphasize the importance of backward integration into the global value chain and strive to reach high value-added links to enhance overall product quality.

Key words: global value chain, participation, forest product, quality of export products, dual circulation

CLC Number:

F307.22

XIONG Lichun, ZHANG Zhiguo, CHENG Baodong, WANG Fengting, XU Chenying. Impact of embedded global value chains on the quality of export forest products in the context of “double cycle”[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2025, 49(2): 242-251.

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References 27

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变量名称 variable name	变量符号 variable symbol	样本量 sample	均值 mean value	中位数 median	标准差 standard deviation	最小值 min value	最大值 max value
出口林产品质量 quality of export forest products	q	420	58.35	62.84	22.23	0	100
全球价值链参与度 global value chain participation	g_vc	420	1.373	1.308	0.585	0.371	3.015
贸易自由度 freedom of trade	t_rade	420	73.97	60.59	41.51	17.81	180.40
人均GDP per capita GDP	g_dp	420	3.308	2.590	2.433	0.130	11.920
森林租金 forest rents	r_ent	420	0.173	0.088	0.234	0	1.288
林产品产量 forest product output	r_ate	420	10.100	10.290	2.098	2.565	13.660
森林覆盖率 percentage of forest cover	F_C	420	35.920	33.900	16.940	1.094	73.740
劳动力投入 labor input	l_abor	420	54.950	55.590	6.011	38.690	67.990

国家 nation	质量 q	国家 nation	质量 q	国家 nation	质量 q	国家 nation	质量 q
卢森堡 Luxembourg	98.97	爱尔兰 Ireland	72.92	希腊 Greece	59.36	土耳其 Türkiye	37.82
马耳他 Malta	91.79	瑞典 Sweden	72.07	罗马尼亚 Romania	56.83	俄罗斯 Russia	35.32
爱沙尼亚 Estonia	91.25	奥地利 Austria	71.61	澳大利亚 Australia	55.84	日本 Japan	34.03
拉脱维亚 Latvia	87.33	丹麦 Denmark	70.31	加拿大 Canada	55.50	墨西哥 Mexico	30.65
斯洛文尼亚 Slovenia	85.65	瑞士 Switzerland	68.08	波兰 Poland	50.30	巴西 Brazil	30.42
塞浦路斯 Cyprus	80.78	比利时 Belgium	67.51	西班牙 Spain	48.31	印度尼西亚 Indonesia	27.72
立陶宛 Republic of Lithuania	79.73	保加利亚 Bulgaria	67.07	韩国 Korea	46.73	美国 America	27.30
芬兰 Finland	79.68	葡萄牙 Portugal	67.03	意大利 Italy	46.18	中国 China	7.86
克罗地亚 Croatia	75.09	捷克 Czech Republic	66.24	德国 Germany	44.96	印度 India	1.34
挪威 Norway	74.52	匈牙利 Hungary	64.79	法国 France	44.51
斯洛伐克 Slovakia	73.50	荷兰 Netherlands	61.60	英国 Britain	42.25

因素 factor	固定效应 fixed effect	随机效应 random effect	OLS回归 OLS regression
全球价值链参与度(g_vc) global value chain participation	2.097^*** (0.380)	3.718^*** (0.501)	12.626^*** (1.299)
贸易自由度(t_rade) freedom of trade	-0.005 (0.006)	-0.002 (0.008)	0.055^*** (0.014)
人均GDP(g_dp) per capita GDP	-0.571^*** (0.100)	-0.298^** (0.132)	3.250^*** (0.216)
森林租金(r_ent) forest rents	0.841 (0.923)	4.140^*** (1.208)	20.420^*** (1.676)
林产品产量(r_ate) forest product output	3.298^*** (0.488)	-1.910^*** (0.506)	-6.174^*** (0.152)
森林覆盖率(F_C) percentage of forest cover	-0.012 (0.085)	0.096 (0.073)	0.252^*** (0.026)
劳动力投入(l_abor) labor input	0.157^*** (0.025)	0.192^*** (0.033)	-0.246^*** (0.055)

因素 factor	出口单位价值法 export unit value method	滞后1期 one lag period	滞后2期 two lag phase
全球价值链参与度(g_vc) global value chain participation	0.227^*** (0.066)	1.735^*** (0.417)	2.736^*** (0.536)
贸易自由度(t_rade) freedom of trade	0.001 (0.001)	-0.013^** (0.006)	-0.023^*** (0.007)
人均GDP(g_dp) per capita GDP	0.134^*** (0.017)	-0.688^*** (0.102)	-0.805^*** (0.109)
森林租金(r_ent) forest rents	-0.189 (0.159)	1.304 (0.963)	1.771^* (1.010)
林产品产量(r_ate) forest product output	-0.401^*** (0.084)	2.805^*** (0.550)	2.859^*** (0.592)
森林覆盖率(F_C) percentage of forest cover	-0.005 (0.015)	-0.112 (0.097)	-0.129 (0.110)
劳动力投入(l_abor) labor input	0.000 (0.004)	0.199^*** (0.029)	0.204^*** (0.034)

因素 factor	第1阶段 the first stage	第2阶段 the second stage
因素 factor	全球价值链参与度(g_vc) global value chain participation	出口林产品质量(q_uality) quality of export forest products
全球价值链参与度(g_vc) global value chain participation		98.087^** (45.539)
贸易自由度(t_rade) freedom of trade	0.008^*** (0.000)	-0.663^* (0.381)
人均GDP(g_dp) per capita GDP	0.723^*** (0.018)	-4.106 (4.806)
森林租金(r_ent) forest rents	0.724^*** (0.100)	-40.145 (34.805)
林产品产量(r_ate) forest product output	-0.057^*** (0.008)	-1.027 (3.093)
森林覆盖率(F_C) percentage of forest cover	0.004^** (0.001)	-0.116 (0.224)
劳动力投入(l_abor) labor input	-0.017^*** (0.003)	1.196 (0.849)
互联网普及率(I_nternet) internet penetration rate	0.002^** (0.007)
互联网普及率滞后1期(I'_nternet) Internet penetration lags by one phase	0.001^* (0.007)

Impact of embedded global value chains on the quality of export forest products in the context of “double cycle”

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变量 variable	发达国家 developed country quality	发展中国家 developing country quality
全球价值链参与度(g_vc) global value chain participation	0.092 (0.521)	3.352^*** (0.508)
贸易自由度(t_rade) freedom of trade	-0.004 (0.008)	-0.018^** (0.008)
人均GDP(g_dp) per capita GDP	-0.488^*** (0.097)	-1.853^*** (0.331)
森林租金(r_ent) forest rents	8.200^** (3.155)	-0.554 (0.959)
林产品产量(r_ate) forest product output	1.005 (0.717)	4.548^*** (0.725)
森林覆盖率(F_C) percentage of forest cover	0.135 (0.186)	-0.017 (0.092)
劳动力投入(l_abor) labor input	0.265^*** (0.046)	0.144^*** (0.031)

因素 facctor	前向 forward	后向 backward
全球价值链参与度(g_vc) global value chain participation	2.083^*** (0.490)	3.228^*** (0.774)
贸易自由度(t_rade) freedom of trade	0.002 (0.006)	-0.006 (0.006)
人均GDP(g_dp) per capita GDP	-0.596^*** (0.101)	-0.621^*** (0.100)
森林租金(r_ent) forest rents	0.452 (0.936)	1.097 (0.947)
林产品产量(r_ate) forest product output	3.320^*** (0.501)	3.809^*** (0.486)
森林覆盖率(F_C) percentage of forest cover	-0.008 (0.086)	-0.001 (0.087)
劳动力投入(l_abor) labor input	0.158^*** (0.026)	0.192^*** (0.024)

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