Relationship between forest resources and economic growth: Empirical evidence from China

Hao, Yu; Xu, Yalin; Zhang, Jingjing; Hu, Xinlei; Huang, Junbing; Chang, Chun‐Ping; Guo, Yuqi

doi:10.1016/j.jclepro.2018.12.314

Cited by 63 publications

(37 citation statements)

References 61 publications

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“…In light of the Environmental Kuznets Curve, urbanization decreased the forest area at the early stage of urbanization. At a certain stage, urban expansion starts to be accompanied by increased forest area, thanks to the efforts for a long-term regional sustainability and environmental quality improvement [32][33][34][35][36] (Figure 2). In the Haihe River Basin, the massive afforestation embodied such a positive effect of urbanization-driven LUCC on the local forest.…”

Section: Discussionmentioning

confidence: 99%

Urbanization-Driven Changes in Land-Climate Dynamics: A Case Study of Haihe River Basin, China

Xu²,

Sun³

et al. 2020

Remote Sensing

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Urbanization changes the land surface environment, which alters the regional climate system. In this study, we took the Haihe River Basin in China as a case study area, as it is highly populated and experienced rapid urbanization from 2000–2015. We investigated how land use and cover change (LUCC) was driven by urban land development affects land-climate dynamics. From 2000–2015, we collected data from the land use and cover database, the remote sensing database of the Moderate Resolution Imaging Spectroradiometer (MODIS) series, and the meteorological database to process and generate regional datasets for LUCC maps. We organized data by years aligned with the selected indicators of land surface, normalized difference vegetation index (NDVI), albedo, and land surface temperature (LST), as well as of regional climate, cloud water content (CWC), and precipitation (P). The assembled datasets were processed to perform statistical analysis and conduct structural equation modelling (SEM). Based on eco-climatology principles and the biophysical process in the land-climate dynamics, we made assumptions on how the indicators connected to each other. Moreover, we testified and quantified them in SEM. LUCC results found that from 2000–2015 the urban area proportion increased by 214% (2.20–6.91%), while the agricultural land decreased by 7.2% (53.05–49.25%) and the forest increased by 4.3% (10.02–10.45%), respectively. This demonstrated how cropland intensification and afforestation happened in the urbanizing basin. SEM results showed that the forest had both positive and negative effects on the regional hydrological cycle. The agricultural land, grassland, and shrub had indirect effects on the P via different biophysical functions of LST. The overall effects of urbanization on regional precipitation was positive (pathway correlation coefficient = 0.25). The interpretation of how urbanization drives LUCC and alters regional climate were herein discussed in different aspects of socioeconomic development, biophysical processes, and urbanization-related atmospheric effects. We provided suggestions for further possible research on monitoring and assessment, putting forth recommendations to advance sustainability via land planning and management, including agricultural land conservation, paying more attention to the quality growth of forest rather than the merely area expansion, integrating the interdisciplinary approach, and assessing climatic risk for extreme precipitation and urban flooding.

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Section: Discussionmentioning

confidence: 99%

Urbanization-Driven Changes in Land-Climate Dynamics: A Case Study of Haihe River Basin, China

Xu²,

Sun³

et al. 2020

Remote Sensing

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“…Similarly, Olayungbo (2019) applies the Bayesian timevarying parameter model using a cross sectional regression yearly data from 1970 to 2015 in Nigeria to conclude that oil revenue export has a positive and significant impact on economic growth and thus Nigeria is known to be a resource dependent economy. Further, Hao et al (2019) find that there is a positive relationship between forest resources and a more balanced growth using panel data with 30 provinces from 2002 to 2015 and GMM considering the basis of the environmental Kuznets curve hypothesis (EKC). A recent study by Cavalcanti et al (2011) argue that oil abundance positively improves economic growth using an heterogeneous panel data over the period 1980-2006 and 53 oil exporting and importing countries employing Common Correlated Effects type estimators and OLS.…”

Section: Natural Resources-economic Growth Nexusmentioning

confidence: 98%

Remittances, natural resource rent and economic growth in Sub-Saharan Africa

Ofori

Grechyna

2021

Cogent Economics & Finance

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Despite the established link between oil rent fluctuations and remittances received, its plausible joint effect on economic growth in Sub-Saharan Africa (SSA) remains unexplored. To fill this gap, first, we determine whether natural resource rent (composed of oil rent, forest rent and natural gas rent) reduces economic growth in SSA. Second, we examine whether positive macroeconomic signals such as remittances mitigate the negative effect of oil rents on economic growth in a sample of 43 SSA countries spanning 1990-2017. We employ the pooled ordinary least squares, fixedeffects, random-effects and generalized method of moments. The resulting empirical evidence established are: (1) there is a positive impact of forest rent on economic growth whilst oil rent and natural gas rent have a negative impact on economic growth (2) there is a positive marginal and net effect on economic growth from the interaction between remittances and oil rent. In addition, the unconditional effect of remittances on growth is positive. We further perform a threshold analysis to establish a critical ground that could also influence economic growth positively. This threshold is crucial because below these critical mass remittance inflows mitigate the negative incidence of oil rent on economic growth and above the threshold, negative oil rent on growth is completely nullified. This Pamela Efua Ofori ABOUT THE AUTHOR Pamela Efua Ofori holds a master's degree in MSc. Economics from the University of Granada, Spain. Miss. Ofori is currently a master student at the University of Insubria, Italy, studying global entrepreneurship economics and management (GEEM) specializing in Economics of Innovation. Her research interests are economic growth and development, innovation, governance and female empowerment. She is an active member of Women for Africa Foundation (Mujeres Por Africa) in Spain and an intern with the Association for promoting women in Research and Development in Africa (ASPROWORDA) in Cameroon.Daryna Grechyna obtained her PhD at Universitat Autonoma de Barcelona, Spain. Dr. Daryna Grechyna currently holds a senior lecturer position in the Department of Economics at the University of Granada, Spain. Her research interests include political economy, public economics, education Economics, and Economic Development. She also works in the fields of Macroeconomics, Public Finance, Corporate Finance, and International Economic Relations.

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“…Economic performance (GDP): similar to Hao et al (2019) [ 45 ], we utilize real GDP per capita, consistent to 2011, to measure the national economic performance and control the influence of economic performance on forest growth, as denoted by GDP (USD).…”

Section: Methodsmentioning

confidence: 99%

The Impact of Globalization on Forest Growth: Evidence from Multinational Panel Data

Wang

Geng

Xia

2021

IJERPH

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Even though some existing literature has studied the impact of globalization on forest growth, this research remains inconclusive; moreover, little clarification has emerged as to whether the influence of globalization on forest growth is consistent among different countries. To fill this research gap, we investigated the impact of globalization on forest growth and considered what factors could change the influence of the former upon the latter. To empirically investigate these essential issues, we utilized cross-country data covering 108 countries during the period 1991–2018 to conduct a system generalized method of moment (GMM) estimation. The baseline results confirm the positive impact of globalization on forest growth, which is also supported by several robustness tests, such as changing the measurements and setting new samples. Furthermore, an increase in globalization would bring about higher forest growth. Aside from this, two specific dimensions of globalization, namely economics and trade, can also protect forest growth. Additionally, a higher FDI strengthens the positive impact of globalization on forest growth, while aging, industrial share, and CO2 emissions weaken it. Finally, the impact of globalization on forests is weaker in democracies, emerging markets, and countries with higher fiscal freedoms, while it is stronger in countries with higher political stability. Our study provides substantial policy implications for governments participating in international treaties related to forest growth. The structure of this paper is organized as follows.

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Relationship between forest resources and economic growth: Empirical evidence from China

Cited by 63 publications

References 61 publications

Urbanization-Driven Changes in Land-Climate Dynamics: A Case Study of Haihe River Basin, China

Urbanization-Driven Changes in Land-Climate Dynamics: A Case Study of Haihe River Basin, China

Remittances, natural resource rent and economic growth in Sub-Saharan Africa

The Impact of Globalization on Forest Growth: Evidence from Multinational Panel Data

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