Exploring the Role of Forest Resources Abundance on Economic Development in the Yangtze River Delta Region: Application of Spatial Durbin SDM Model

Zhang, Qian; Tang, Decai; Boamah, Valentina

doi:10.3390/f13101605

Cited by 14 publications

(10 citation statements)

References 58 publications

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“…Third, these results provide a new perspective on how factors such as labor migration and FDI in forestry affect forestry industry structure upgrading, complementing previous findings that FDI in forestry affects forestry industry structure upgrading [15,38]. The research in this paper contributes to a deeper understanding of the moderating effects of FDI and labor migration on the structure of the forestry industry.…”

Section: Discussionsupporting

confidence: 71%

“…The contributions of this study are mainly in the following three dimensions: first, unlike most previous studies [15,38], we examined both the effect of foreign direct investment and the moderating effect of labor migration on forestry industry structure upgrading. The moderating effect is related to the estimation of the interaction term in moderating effect Models (10)- (11).…”

Section: Discussionmentioning

confidence: 99%

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The Impact of Foreign Direct Investment on the Forestry Industry Structure Upgrading: The Moderating Effect on Labor Migration

Hou

et al. 2023

IJERPH

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This study examines the impact of foreign direct investment in forestry, a prominent phenomenon in China, on forestry industry structure upgrading, using comprehensive economic theory and the panel data of 27 provinces from 2003 to 2019 in China. We used fixed and moderating effect models, and regional heterogeneity tests were conducted. Our results indicate that, at the national level, foreign direct investment in forestry and labor migration promotes forestry industry structural upgrading. In addition, our results indicate that labor migration as a moderating variable weakly promotes forestry industry structural upgrading via foreign direct investment in forestry, and these effects have regional heterogeneity. Finally, different control variables also have influence on forestry industry structural upgrading, such as the number of forestry stations. Based on these empirical results, we provide an explanation and give policy implications, such as developing secondary and tertiary forestry industries, building forestry infrastructure, and improving the efficiency of forestry foreign investment utilization to promote the optimization of the forestry industry structure in China.

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Section: Discussionsupporting

confidence: 71%

Section: Discussionmentioning

confidence: 99%

The Impact of Foreign Direct Investment on the Forestry Industry Structure Upgrading: The Moderating Effect on Labor Migration

Hou

et al. 2023

IJERPH

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“…The coefficient δ in the SEM examines the impact of the neighbouring regions' error terms on the dependent variable of the local region. The SDM is a combined extended form of the SAR and SEM, including the dependent and independent variables' spatial lag and spatial error terms [93]. In comparison, the use of the SDM can effectively reduce the problem of variable omission [94].…”

Section: Spatial Econometric Modelmentioning

confidence: 99%

Reexamining the Impact of Global Value Chain Participation on Regional Economic Growth: New Evidence Based on a Nonlinear Model and Spatial Spillover Effects with Panel Data from Chinese Cities

Li,

He,

et al. 2023

Sustainability

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This study utilizes panel data drawn from 239 Chinese cities, and it employs fixed-effects models, mediation models, and spatial spillover models to reexamine the actual impact of the global value chain’s (GVC) participation on regional economic growth. The findings reveal that this impact exhibits a U-shaped nonlinear pattern, with the turning point of GVC occurring at 0.45, which is higher than that of 222 cities. Most cities are on the left side of the U-shaped curve, which corresponds with the second stage of the “in-out-in-again” GVC participation pattern (i.e., the “out” stage). During this stage, a decline in foreign value-added ratio (FVAR), with regard to exports (accompanied by an increase in the domestic value-added ratio), promotes economic growth. Innovation capability acts as a mediator in the relationship between GVC participation and economic growth. Furthermore, GVC participation has significant spillover effects on neighboring cities, with siphon and spillover effects coexisting. Thus, China should focus on establishing domestic value chains and innovation systems, achieving relative independence from existing GVCs dominated by developed countries, enhancing indigenous innovation capabilities, and laying the foundation for the third stage (in-again) of reintegration into GVCs, at the high value-added end, to achieve a higher level of openness. This study explores the nonlinear impact of GVC participation on regional economic growth in China from both theoretical and empirical perspectives, focusing on the finest divisions that remain feasible—cities. This approach expands and supplements the relevant field of research in valuable ways, yielding more realistic research conclusions and policy recommendations.

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“…The advantage of this type of research is that it can clearly reveal key indicators that affect FCR. From the existing research, it can be observed that the relative factors of FCR are quite complex, including not only economic factors (such as the GDP), but also the multiple impacts of social, policy (such as the Conversion of Cultivated Land into Forest Project (CCFP) and forest park constructions), population (such as population density and the natural population growth rate), and geographical condition (such as terrain slope and climate) (Wang Kai, 2016 [13,14,[27][28][29][30][31][32][33]. In addition, natural disasters and human activities can also become important influencing factors for the reduction in FCR, and the impacts of the relative factors are widely recognized in the literature (Hu Wenping et al, 2023;Mizuno, T. et al, 2021;Hefeeda, M. et al, 2009) [34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Study on the Spatiotemporal Evolution and Influencing Factors of Forest Coverage Rate (FCR): A Case Study on Yunnan Province Based on Remote Sensing Image Interpretation

Yang,

He,

Zhong

et al. 2024

Forests

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The study of the forest coverage rate (FCR) is related to the ecological environment and sustainable development goals (SDGs) of a region. In light of the lack of an organic integration method of “spatiotemporal evolution, correlation analysis, and change prediction” and the lack of a methodology that integrates methods of “remote sensing (RS) and GIS, multi-phase LUCC, and construction of econometric models” in the research methods at present, this study focus on Yunnan, a typical border province located in China with a relatively fragile “innate” ecological environment, as the research area. Based on the interpretation of land use/land cover (LULC) data retrieved from seven periods RS images (1990, 1995, 2000, 2005, 2010, 2015, and 2020), the spatiotemporal evolution of FCR in 129 counties was analyzed. Complementary research methods, such as the spatial econometric model, geographically weighted regression (GWR), and the geographic detector (GD), are used to reveal the influencing factors of FCR. Finally, this study predicts the FCRs of 129 counties in Yunnan from 2025 to 2050. The FCR in Yunnan presents an increasing trend year by year, increasing from 28.96% in 1990 to 49.05% in 2020. In addition, it exhibits spatial agglomeration characteristics with fewer values in the east and more in the west. The analysis of influencing factors show that the increases in the per capita GDP, land utilization rate, and annual average temperature, and the implementation of the Conversion of Cultivated Land into Forest Project (CCFP) will significantly improve the FCR, while the increases in the population density land reclamation rate, the proportion of construction land area, and the proportion of soil erosion land area will significantly reduce the FCR. Furthermore, the FCR is influenced by multiple factors, and the relative factors observed not only show significant spatial differences, but also present complex and diverse patterns, with the additional characteristics of being interwoven and overlapping. This study contributes to expanding and improving the methods and pathways of exploring the spatiotemporal evolution characteristics of FCR in ecologically fragile areas using RS methods, providing a reference for increasing FCR and improving the ecological environment’s quality in Yunnan Province and other ecologically fragile areas.

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Exploring the Role of Forest Resources Abundance on Economic Development in the Yangtze River Delta Region: Application of Spatial Durbin SDM Model

Cited by 14 publications

References 58 publications

The Impact of Foreign Direct Investment on the Forestry Industry Structure Upgrading: The Moderating Effect on Labor Migration

The Impact of Foreign Direct Investment on the Forestry Industry Structure Upgrading: The Moderating Effect on Labor Migration

Reexamining the Impact of Global Value Chain Participation on Regional Economic Growth: New Evidence Based on a Nonlinear Model and Spatial Spillover Effects with Panel Data from Chinese Cities

Study on the Spatiotemporal Evolution and Influencing Factors of Forest Coverage Rate (FCR): A Case Study on Yunnan Province Based on Remote Sensing Image Interpretation

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