Jianping Zha
Datos Biográficos
| ID | 6585965 |
|---|---|
| NOMBRE | Jianping Zha |
| NOMBRES | Jianping |
| APELLIDO | Zha |
| FIRMA | ZHA J |
| AFILIACIONES | Sichuan University |
| ORCID | 0000-0002-3087-218X |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 11 |
| TOTAL DE CITAS | 10 |
| TOTAL COMO AUTOR | 11 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 1 |
Understanding the relationship between tourism and regional income inequality
Tourism has long been regarded, both in theory and policy, as a potential instrument for alleviating regional income inequality. However, in the context of rapid digital economy development, its actual distributional effects have increasingly exhibited conditional dependence, necessitating the incorporation of digital contexts into theoretical frameworks. To this end, this study develops a nonlinear integrated analytical framework embedded within…
Can Digital Inclusive Finance Make Tourism More Accessible to Households? Evidence From a Large‐Scale Micro Database
The rapid growth and high penetration of digitalization have caused profound changes in tourism consumption. This study investigates the impact and transmission mechanism of digital inclusive finance (DIF) on tourism consumption by using large‐scale household data. High‐dimensional fixed effects (HDFEs), instrumental variable (IV) and IV extended mediation and moderation models are adopted to address the endogeneity, and results indicate that DIF…
Chance or challenge? Understanding how the Internet affects the nexus between tourism and urban-rural income inequality
The nexus between tourism and income inequality has received much attention but no consensus emerged. It is of interest to explore how this nexus is affected by the important external condition of the Internet. This study examines the spatial threshold effect of the Internet on the nexus between tourism and urban-rural income inequality by developing a spatial threshold model. Using panel data for 280 Chinese cities from 2003 to 2019, the results…
Identifying Critical Paths and Drivers of Carbon Emissions From Tourism
Given the highly fragmented structure and strong industrial linkages of the tourism industry, exploring the flow and drivers of carbon transfer is critical for sustainable tourism. This study combines the environmentally extended input–output (EEIO) model with structural decomposition analysis (SDA) and structural path analysis (SPA) to identify the key sectors, paths, and drivers of carbon emissions from tourism. Taking China as a case, the resu…
What caused the wage changes in tourism-related industries? A demand-side analysis based on an extended input-output model
Previous studies that have explored the factors influencing wage changes in tourism have generally been confined to supply-side analysis, ignoring the impact of final demand on wage changes through the mechanism of inter-industry linkages. To this end, this study proposes a novel framework that combines input-output analysis with the logarithmic mean Divisia index method to examine wage levels and their changes in tourism-related industries and t…
How does high-speed railway affect tourism efficiency? An empirical study in China
This study examines the relationship between high-speed railway (HSR) and tourism efficiency using a difference-in-differences (DID) model and a global data envelopment analysis (DEA) decomposition analytical framework with a sample of 280 cities in China from 2003 to 2018. We provide both robust estimates of tourism efficiency and scrutiny of whether and how the opening of HSR affects tourism efficiency. The findings reveal that the opening of H…
Exploring tourist opinion expression on Covid-19 and policy response to the pandemic’s occurrence through a content analysis of an online petition platform
Numerous studies have examined disasters and crises affecting the tourism industry but very few have explicitly explored public opinion regarding a health-related crisis alongside a policy response to its occurrence. The COVID-19 pandemic with its rapid evolution and lasting detrimental implications has provided a unique opportunity to fill this knowledge gap. This study conducts a systematic content analysis of an online petition platform to exp…
Evaluation and Decomposition of Tourism Inefficiency Considering Heterogeneous Technology
Considering both sectoral and regional heterogeneities, this article develops a structural meta-frontier slacks-based measure data envelopment analysis model to decompose the inefficiency level, input reduction and output expansion potentials and efficiency change into three components: sectoral heterogeneity, regional heterogeneity, and resource utilization. Subsequently, an empirical study of China’s provincial tourism subsectors between 2000 a…
Framework for accounting for tourism carbon emissions in China
Understanding tourism carbon emissions and their influencing factors from the perspective of industrial linkages can inform policy-making in the development of sustainable tourism. Based on a combination of the environmental input–output (I-O) model and structural decomposition analysis, this article develops a novel framework for analyzing the industrial linkage pathways of China’s carbon emissions linked to tourism and identifying the driving f…
Eco-efficiency, eco-productivity and tourism growth in China
Understanding the effects of changes in the eco-efficiency and eco-productivity of the tourism industry on its growth will inform tourism policymaking. Based on a combination of the non-convex metafrontier model, data envelopment analysis, and structure decomposition analysis, this study develops a novel model to measure changes in the eco-efficiency and eco-productivity of China’s provincial tourism industries during 2005–2015, and then decompos…
Decomposition analysis of tourism CO 2 emissions for sustainable development
The tourism industry is a nonnegligible contributor to global CO 2 emissions, and formulating policy around emission reduction for sustainable tourism requires understanding the drivers contributing to the growth of tourism CO 2 emissions. This paper develops an alternative decomposition technique that uses data envelopment analysis (DEA) and distance functions to examine the sources of change in tourism CO 2 emissions; this method offers advanta…
Decomposition analysis of tourism CO 2 emissions for sustainable development
The tourism industry is a nonnegligible contributor to global CO 2 emissions, and formulating policy around emission reduction for sustainable tourism requires understanding the drivers contributing to the growth of tourism CO 2 emissions. This paper develops an alternative decomposition technique that uses data envelopment analysis (DEA) and distance functions to examine the sources of change in tourism CO 2 emissions; this method offers advanta…
Identifying Critical Paths and Drivers of Carbon Emissions From Tourism
Given the highly fragmented structure and strong industrial linkages of the tourism industry, exploring the flow and drivers of carbon transfer is critical for sustainable tourism. This study combines the environmentally extended input–output (EEIO) model with structural decomposition analysis (SDA) and structural path analysis (SPA) to identify the key sectors, paths, and drivers of carbon emissions from tourism. Taking China as a case, the resu…
Decomposition analysis of tourism CO 2 emissions for sustainable development
The tourism industry is a nonnegligible contributor to global CO 2 emissions, and formulating policy around emission reduction for sustainable tourism requires understanding the drivers contributing to the growth of tourism CO 2 emissions. This paper develops an alternative decomposition technique that uses data envelopment analysis (DEA) and distance functions to examine the sources of change in tourism CO 2 emissions; this method offers advanta…
Eco-efficiency, eco-productivity and tourism growth in China
Understanding the effects of changes in the eco-efficiency and eco-productivity of the tourism industry on its growth will inform tourism policymaking. Based on a combination of the non-convex metafrontier model, data envelopment analysis, and structure decomposition analysis, this study develops a novel model to measure changes in the eco-efficiency and eco-productivity of China’s provincial tourism industries during 2005–2015, and then decompos…
Framework for accounting for tourism carbon emissions in China
Understanding tourism carbon emissions and their influencing factors from the perspective of industrial linkages can inform policy-making in the development of sustainable tourism. Based on a combination of the environmental input–output (I-O) model and structural decomposition analysis, this article develops a novel framework for analyzing the industrial linkage pathways of China’s carbon emissions linked to tourism and identifying the driving f…
Exploring tourist opinion expression on Covid-19 and policy response to the pandemic’s occurrence through a content analysis of an online petition platform
Numerous studies have examined disasters and crises affecting the tourism industry but very few have explicitly explored public opinion regarding a health-related crisis alongside a policy response to its occurrence. The COVID-19 pandemic with its rapid evolution and lasting detrimental implications has provided a unique opportunity to fill this knowledge gap. This study conducts a systematic content analysis of an online petition platform to exp…
Evaluation and Decomposition of Tourism Inefficiency Considering Heterogeneous Technology
Considering both sectoral and regional heterogeneities, this article develops a structural meta-frontier slacks-based measure data envelopment analysis model to decompose the inefficiency level, input reduction and output expansion potentials and efficiency change into three components: sectoral heterogeneity, regional heterogeneity, and resource utilization. Subsequently, an empirical study of China’s provincial tourism subsectors between 2000 a…
What caused the wage changes in tourism-related industries? A demand-side analysis based on an extended input-output model
Previous studies that have explored the factors influencing wage changes in tourism have generally been confined to supply-side analysis, ignoring the impact of final demand on wage changes through the mechanism of inter-industry linkages. To this end, this study proposes a novel framework that combines input-output analysis with the logarithmic mean Divisia index method to examine wage levels and their changes in tourism-related industries and t…
How does high-speed railway affect tourism efficiency? An empirical study in China
This study examines the relationship between high-speed railway (HSR) and tourism efficiency using a difference-in-differences (DID) model and a global data envelopment analysis (DEA) decomposition analytical framework with a sample of 280 cities in China from 2003 to 2018. We provide both robust estimates of tourism efficiency and scrutiny of whether and how the opening of HSR affects tourism efficiency. The findings reveal that the opening of H…
Chance or challenge? Understanding how the Internet affects the nexus between tourism and urban-rural income inequality
The nexus between tourism and income inequality has received much attention but no consensus emerged. It is of interest to explore how this nexus is affected by the important external condition of the Internet. This study examines the spatial threshold effect of the Internet on the nexus between tourism and urban-rural income inequality by developing a spatial threshold model. Using panel data for 280 Chinese cities from 2003 to 2019, the results…
Identifying Critical Paths and Drivers of Carbon Emissions From Tourism
Given the highly fragmented structure and strong industrial linkages of the tourism industry, exploring the flow and drivers of carbon transfer is critical for sustainable tourism. This study combines the environmentally extended input–output (EEIO) model with structural decomposition analysis (SDA) and structural path analysis (SPA) to identify the key sectors, paths, and drivers of carbon emissions from tourism. Taking China as a case, the resu…
Can Digital Inclusive Finance Make Tourism More Accessible to Households? Evidence From a Large‐Scale Micro Database
The rapid growth and high penetration of digitalization have caused profound changes in tourism consumption. This study investigates the impact and transmission mechanism of digital inclusive finance (DIF) on tourism consumption by using large‐scale household data. High‐dimensional fixed effects (HDFEs), instrumental variable (IV) and IV extended mediation and moderation models are adopted to address the endogeneity, and results indicate that DIF…
Understanding the relationship between tourism and regional income inequality
Tourism has long been regarded, both in theory and policy, as a potential instrument for alleviating regional income inequality. However, in the context of rapid digital economy development, its actual distributional effects have increasingly exhibited conditional dependence, necessitating the incorporation of digital contexts into theoretical frameworks. To this end, this study develops a nonlinear integrated analytical framework embedded within…
Tourism (11 obras) · Economics (9 obras) · Geography (9 obras) · Business (8 obras) · Energy, Environment, Economic Growth (7 obras) · China (5 obras) · Economic geography (5 obras) · Diverse Aspects of Tourism Research (4 obras) · Natural resource economics (4 obras) · Data envelopment analysis (3 obras)