Measuring the Dragging Effect of Natural Resources on Economic Growth
Evidence from a Space–Time Panel Filter Modeling in China
Dados Bibliográficos
| ID | 8377969 |
|---|---|
| Autores | Yaobin Liu (0000-0002-0249-9365, Nanchang University), Yichun Xie (0000-0002-2045-6406, Eastern Michigan University) |
| Ano | 2013 |
| Volume | 103 |
| Fascículo | 6 |
| Páginas | 1539-1551 |
| Data de publicação | 2013-11-01 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Annals of the Association of American Geographers (JOURNAL) |
| Identificadores do periódico | ISSN: 0004-5608 • E-ISSN: 1467-8306 |
| Editora | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00045608.2013.784108 |
| OpenAlex | W2125009131 |
| Idioma | EN |
| Citações recebidas | 2 |
| Referências citadas | 34 |
China has witnessed rapid economic growth in recent decades, but it increasingly faces the challenges of water shortage and arable land depletion. This article develops a space–time panel filter model (STPFM) to measure the dragging effects of the arable land and available water resources on economic growth in China at both the national and regional levels. Unlike traditional panel models, the STPFM allows us to explicitly account for spatial cross-regional dependence in the data. This is particularly important for two interrelated reasons. First, the aggregated output and its resource factors as well as physical capital and human capital have been shown to be spatially correlated and cross-regionally dependent. Second, STPFM can potentially mitigate the bias of variable omissions by taking into account spatial dependence and diffusion. The results show that the aggregate drag of arable land and available water resources reduces annual economic growth rate by about 1.3 percentage points in China as a whole, and significant differences exist in both disaggregate and aggregate drags over the provinces and regions. Our experiment confirms that the STPFM is an effective technique to quantify joint spatial and temporal dragging effects of natural resources on economic growth
Agriculture · Arable land · China · Econometrics · Economic geography · Economics · Geography · Natural resource · Natural resource economics · Panel data · Resource (disambiguation) · Space (punctuation) · Ecology · Environmental Science · Fiscal Policy and Economic Growth · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis
Introduction to Spatial Econometrics
Spatial Econometrics
Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances
Testing for Cross-Sectional Dependence in Panel-Data Models
An Introduction to Spatial Econometrics
Applied Spatial Econometrics
Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large
Dynamic Causal Patterns of Desertification
General Diagnostic Tests for Cross Section Dependence in Panels
Environmental drag
Socio-economic driving forces of arable land conversion
An optimized spatial-temporal-sectoral allocation model for water resources
Agricultural land protection in China
Temporal and spatial variability of agricultural land loss in relation to policy and accessibility in a low hilly region of southeast China
Simulating Emergent Urban Form Using Agent-Based Modeling
Environmental Degradation in Heilongjiang
The Relative Importance of Socioeconomic and Environmental Variables in Explaining Land Change in Bolivia, 2001–2010
Framing and Reframing Questions of Human–Environment Interactions
A Contribution to the Empirics of Economic Growth
Natural Resources and Economic Development 1
| Obras citantes distintas | 2 |
|---|---|
| Citações por ano | 0,29 |
| Intervalo de citações | 2019 - 2020 (2) |
| Velocidade de citação | historical |
| Altamente citado | Não |
| Tipos de citação | Neutras: 2 |