Search results

1 – 10 of 78
To view the access options for this content please click here
Article
Publication date: 1 September 2016

Xiaohui Yu, Fei Wang and Lina Wang

City wall is an important symbol of ancient Chinese cities with unique geographical and cultural characteristics. Thus, the preservation of this historic landmark is…

Abstract

City wall is an important symbol of ancient Chinese cities with unique geographical and cultural characteristics. Thus, the preservation of this historic landmark is considered significantly important. However, numerous residential construction activities and changes in ecological environment have destructed a great portion of the city walls in recent years. This study looks into the preservation of the ancient city walls from the systematic perspective and in line with the actual characteristics of Longdong Region to provide guideline measures for the protection and restoration of such landmark. Cognition and preservation are adopted extensively to investigate the specific situation of and the factors that influence the ancient city walls in this region. Preservation strategies for the city walls, including the “Axis-Point” system, planning control, and authenticity readability, are presented. The ancient city walls in Longdong Region can be preserved by protecting the entire region, the city, and the main wall body. The systematic method and preservation strategies at the “macro perspective,” “medium perspective” and “micro perspective” levels can solve the preservation problems of the ancient city walls in Longdong Region effectively.

Details

Open House International, vol. 41 no. 3
Type: Research Article
ISSN: 0168-2601

Keywords

Content available
Article
Publication date: 8 July 2020

Yang Li, Yaochen Qin, Liqun Ma and Ziwu Pan

The ecological environment of the Loess Plateau, China, is extremely fragile under the context of global warming. Over the past two decades, the vegetation of the Loess

Abstract

Purpose

The ecological environment of the Loess Plateau, China, is extremely fragile under the context of global warming. Over the past two decades, the vegetation of the Loess Plateau has undergone great changes. This paper aims to clarify the response mechanisms of vegetation to climate change, to provide support for the restoration and environmental treatment of vegetation on the Loess Plateau.

Design/methodology/approach

The Savitsky–Golay (S-G) filtering algorithm was used to reconstruct time series of moderate resolution imaging spectroradiometer (MODIS) 13A2 data. Combined with trend analysis and partial correlation analysis, the influence of climate change on the phenology and enhanced vegetation index (EVI) during the growing season was described.

Findings

The S-G filtering algorithm is suitable for EVI reconstruction of the Loess Plateau. The date of start of growing season was found to gradually later along the Southeast–Northwest direction, whereas the date of the end of the growing season showed the opposite pattern and the length of the growing season gradually shortened. Vegetation EVI values decreased gradually from Southeast to Northwest. Vegetation changed significantly and showed clear differentiation according to different topographic factors. Vegetation correlated positively with precipitation from April to July and with temperature from August to November.

Originality/value

This study provides technical support for ecological environmental assessment, restoration of regional vegetation coverage and environmental governance of the Loess Plateau over the past two decades. It also provides theoretical support for the prediction model of vegetation phenology changes based on remote sensing data.

Details

International Journal of Climate Change Strategies and Management, vol. 12 no. 4
Type: Research Article
ISSN: 1756-8692

Keywords

To view the access options for this content please click here
Article
Publication date: 4 October 2018

Xueliang Zhang, Meixia Wang, Binghua Zhou and Xintong Wang

Because of the properties of loess, the occurrence of collapse following deformation of a large settlement is a common problem during the excavation of tunnels on loess

Abstract

Purpose

Because of the properties of loess, the occurrence of collapse following deformation of a large settlement is a common problem during the excavation of tunnels on loess ground. Hence, risk management for safer loess tunnel construction is of great significance. The purpose of this paper is to explore the influence of factors on collapse risk of loess tunnels and establish a risk assessment model using rough set theory and extension theory.

Design/methodology/approach

The surrounding rock level, groundwater conditions, burial depth, excavation method and support close time were selected as the factors and settlement deformation was the verification index for risk assessment. First, using rough set theory, the influence of risk factors on the collapse risk of loess tunnels was calculated by researching engineering data of excavated sections. Then, a collapse risk assessment model was developed based on extension theory. As the final step, the model was applied to practical engineering in the Loess Plateau of China.

Findings

The weights of surrounding rock level, groundwater conditions, burial depth, excavation method and support close time obtained using rough set theory were respectively 10.811 per cent, 18.919 per cent, 24.324 per cent, 40.541 per cent and 5.406 per cent. The assessment results obtained using the model were in good agreement with field observations.

Originality/value

This study highlights key points in collapse risk management of loess tunnels, which could be very useful for future construction methods. The model, using easily obtained parameters, helps in predicting the collapse risk level of loess tunnels excavated under different geological conditions and by different construction organizations and provides a reference for future studies.

Details

Journal of Engineering, Design and Technology, vol. 16 no. 5
Type: Research Article
ISSN: 1726-0531

Keywords

Content available
Article
Publication date: 26 September 2019

Xiaohui Huang, Qian Lu, Lili Wang, Maosen Cui and Fei Yang

Based on the survey data of 1,152 households in three provinces of Shaanxi, Gansu and Ningxia on the Loess Plateau, this paper aims to empirically analyze the impact of…

Abstract

Purpose

Based on the survey data of 1,152 households in three provinces of Shaanxi, Gansu and Ningxia on the Loess Plateau, this paper aims to empirically analyze the impact of aging and off-farm employment on farmers’ adoption behavior of soil and water conservation technology. This paper analyzes the moderating effect of social network and the mediating effect of technological cognition in this impact relationship.

Design/methodology/approach

Based on the above analysis, the second part of this paper is based on relevant theories and constructs a theoretical model of the relationship of aging, off-farm employment, social network, technology cognition and farmers’ adoption behavior of soil and water conservation technology. The third part introduces research methods, variable selection and descriptive statistics analysis of variables. The fourth part, based on the data of Shaanxi, Gansu and Ningxia provinces in the Loess Plateau in 2016, empirically analyzes the impact of aging, off-farm employment and social network on the farmers’ adoption behavior of soil and water conservation technology. This paper further examines the moderating effect of social network and the mediating effect of technology cognition in this influence relationship. Finally, based on the findings of the empirical study, this paper puts forward countermeasures and suggestions.

Findings

First, aging and off-farm employment have a significant negative impact on farmers’ adoption behavior of soil and water conservation technology, while social network has a significant positive effect. Second, social network has alleviated the effect of aging and off-farm employment on restraining farmers’ adoption behavior of soil and water conservation technology. Third, aging and off-farm employment have restrained farmers’ cognition of soil and water conservation technology. Social network has promoted farmers’ cognition of soil and water conservation technology. Social network plays a moderating role in the impact of aging and off-farm employment on farmers’ cognition of soil and water conservation technology. Technology cognition plays a mediating role in the impact of social network on farmers’ adoption behavior of soil and water conservation technology.

Originality/value

This paper integrates the aging, off-farm employment and social network into the same analytical framework and reveals their impact on farmers’ adoption behavior of soil and water conservation technology and its action mechanism, which enriches the impact of human capital and social network on farmers’ adoption behavior of soil and water conservation technology. Then taking the social network as a moderator variable, the paper verifies its moderating effect on the relationship of aging, off-farm employment and farmers’ adoption behavior of soil and water conservation technology. Farmers’ technology cognition should be included in the analysis framework to examine the impact of aging, off-farm employment and social network on farmers’ cognition of soil and water conservation technology. Taking the technology cognition as a mediator variable, the paper verifies its mediating effect on the relationship of aging, off-farm employment and farmers’ adoption behavior of soil and water conservation technology.

Details

International Journal of Climate Change Strategies and Management, vol. 12 no. 1
Type: Research Article
ISSN: 1756-8692

Keywords

To view the access options for this content please click here
Article
Publication date: 20 December 2018

Hemin Song, Yingying Zhang-Zhang, Mu Tian, Sylvia Rohlfer and Nora Sharkasi

The purpose of this paper is to explore the relationship between culture and regional innovation performance in China where innovation is deemed as a key for sustainable…

Abstract

Purpose

The purpose of this paper is to explore the relationship between culture and regional innovation performance in China where innovation is deemed as a key for sustainable economic development. The diversity of China’s regional culture and its rising economic and innovative capability enhancement provides an opportunity for such an exploration.

Design/methodology/approach

This paper adopts the GLOBE’s nine cultural dimensions to empirically examine the relationship between culture and Chinese regional innovation performance through multiple regression analysis.

Findings

The study results find that performance orientation and gender egalitarianism have positive and significant influences on regional innovation performance, while institutional collectivism has a negative and significant influence. The remaining six GLOBE cultural dimensions show no significant effect on regional innovation performance.

Originality/value

To the best of the authors’ knowledge, this is the first research exploring the relationship between culture and regional innovation performance in a Chinese context by using GLOBE’s cultural dimensions that are deemed as a valuable empirical alternative to Hofstede’s cultural measures. The results of this study help further the understanding of the cultural influence in China’s regional innovation performance.

Details

Chinese Management Studies, vol. 13 no. 2
Type: Research Article
ISSN: 1750-614X

Keywords

To view the access options for this content please click here
Book part
Publication date: 18 March 2020

Louise Manning and Luis Kluwe de Aguiar

Sustainable development is generally a difficult concept to explore in an educational setting. Those attempting to teach it require the inter- and transdisciplinary skills…

Abstract

Sustainable development is generally a difficult concept to explore in an educational setting. Those attempting to teach it require the inter- and transdisciplinary skills to be able to foster in the students not only the knowledge assimilation but also the deep acquisition of values (Faham, Rezvanfar, Mohammadi, & Nohooji, 2017; Lambrechts, Mulà, Ceulemans, Molderez, & Gaeremynck, 2013). Sustainable education is embedded in the curriculum of Food Technology students throughout their four-year degree at Harper Adams University. In this chapter, a brief description of how the curricula are organized is presented. Emphasis is given to one module in the final year of the degree where the content and pedagogical practice as well as the pedagogic nature of the learning environment is analyzed in the light of the literature. The teaching and learning practices developed, and the extent to which they equip the students with skills such as critical thinking, analysis, reflection, and complex problem solving is explored. Two case studies are presented, namely the Loess Plateau (China) and the Chiapas Coffee Farmers (Mexico). These serve to contextualize the extent that students can draw from teaching and learning strategies in the module as well as other experiences (personal or from other modules) and use these to frame the students’ learning.

Details

Integrating Sustainable Development into the Curriculum
Type: Book
ISBN: 978-1-78769-941-0

Keywords

To view the access options for this content please click here
Article
Publication date: 30 October 2019

Li Li, Atsushi Tsunekawa, Ian MacLachlan, Guicai Li, Atsushi Koike and Yuanyuan Guo

The purpose of this paper is to examine the factors (including conservation payments) that influence household decisions to participate in off-farm work and estimate the…

Abstract

Purpose

The purpose of this paper is to examine the factors (including conservation payments) that influence household decisions to participate in off-farm work and estimate the impact of participation on household welfare under the auspices of the Grain for Green (GfG) program.

Design/methodology/approach

The authors used survey data from 225 farm households on the Loess Plateau and addressed the possible sample selection and endogeneity problems by employing a jointly estimated endogenous switching regression (ESR) model.

Findings

The findings of this paper are as follows: off-farm participation is positively related to households’ educational attainment and negatively related to their land resource endowment and the presence of children; participation in off-farm work exerts positive effects on household income and per capita household income, but negative effects on farm productivity; and conservation payments show no significant impact on off-farm participation, no significant impact on any of the three household welfare indicators for off-farm non-participant households, but a significantly negative impact for off-farm participant households.

Originality/value

This paper makes two contributions. First, the authors address the selection bias and endogeneity problem of GfG participating households by employing the ESR method and explicitly estimating the treatment effects of off-farm participation on their household welfare. Neglecting these problems leads to biased estimates and misleading policy implications. Second, this analysis stresses the important role of government in reducing market or institutional failure and other barriers that impede farmers’ efficient allocation choices instead of compensating households for conserving sloping land, shedding new light on the most effective policy options to achieve the program’s goals.

Details

China Agricultural Economic Review, vol. 12 no. 1
Type: Research Article
ISSN: 1756-137X

Keywords

Content available
Article
Publication date: 21 June 2019

Yang Li, Zhixiang Xie, Yaochen Qin and Zhicheng Zheng

This paper aims to study the temporal and spatial variation of vegetation and the influence of climate change on vegetation coverage in the Yellow River basin, China. The…

Abstract

Purpose

This paper aims to study the temporal and spatial variation of vegetation and the influence of climate change on vegetation coverage in the Yellow River basin, China. The current study aimed to evaluate the role of a series of government-led environmental control projects in restoring the ecological environment of the Yellow River basin.

Design/methodology/approach

This paper uses unary linear regression, Mann–Kendall and wavelet analyses to study the spatial–temporal variations of vegetation and the response to climate changes in the Yellow River, China.

Findings

The results showed that for the past 17 years, not only the mean annual increase rate of the Normalized Difference Vegetation Index (NDVI) was 0.0059/a, but the spatial heterogeneity also yields significant results. The vegetation growth in the southeastern region was significantly better than that in the northwestern region. The variation period of the NDVI in the study area significantly shortened, and the most obvious oscillation period was half a year, with two peaks in one year. In addition, there are positive and negative effects of human activities on the change of vegetation cover of the Loess Plateau. The project of transforming cultivated land to forest and grassland promotes the increase of vegetation cover of the Loess plateau. Unfortunately, the regional urbanization and industrialization proliferated, and the overloading of grazing, deforestation, over-reclamation, and the exploitation and development of the energy area in the grassland region led to the reduction of the NDVI. Fortunately, the positive effects outweigh the negative ones.

Originality/value

This paper provides a comprehensive insight to analysis of the vegetation change and the responses of vegetation to climate change, with special reference to make the planning policy of ecological restoration. This paper argues that ecological restoration should be strengthened in areas with annual precipitation less than 450 mm.

Details

International Journal of Climate Change Strategies and Management, vol. 11 no. 4
Type: Research Article
ISSN: 1756-8692

Keywords

Content available
Article
Publication date: 1 October 2020

Xiaohui Huang, Qian Lu and Fei Yang

This paper aims to build a theoretical model of the impact of farmers’ adoption behavior of soil and water conservation measures on the agricultural output to analyze the…

Abstract

Purpose

This paper aims to build a theoretical model of the impact of farmers’ adoption behavior of soil and water conservation measures on the agricultural output to analyze the impact of farmers’ adoption behavior of soil and water conservation measures on agricultural output.

Design/methodology/approach

Based on the field survey data of 808 farmers households in three provinces (regions) of the Loess Plateau, this paper using the endogenous switching regression model to analyze the effect of farmers’ adoption behavior of soil and water conservation measures on agricultural output.

Findings

Soil erosion has a significant negative impact on agricultural output, and soil erosion has a significant positive impact on farmers’ adoption of soil and water conservation measures. Farmers adopt soil and water conservation measures such as engineering measures, biological measures and tillage measures to cope with soil erosion, which can increase agricultural output. Based on the counterfactual hypothesis, if farmers who adopt soil and water conservation measures do not adopt the corresponding soil and water conservation measures, their average output per ha output will decrease by 2.01%. Then, if farmers who do not adopt soil and water conservation measures adopt the corresponding soil and water conservation measures, their average output per ha output will increase by 12.12%. Government support and cultivated land area have a significant positive impact on farmers’ adoption behavior of soil and water conservation measures.

Research limitations/implications

The research limitation is the lack of panel data.

Practical implications

Soil erosion has a significant negative impact on agricultural output, and soil erosion has a significant positive impact on farmers’ adoption of soil and water conservation measures. Farmers adopt soil and water conservation measures such as engineering measures, biological measures and tillage measures to cope with soil erosion, which can increase agricultural output.

Social implications

The conclusion provides a reliable empirical basis for the government to formulate and implement relevant policies.

Originality/value

The contributions of this paper are as follows: the adoption behavior of soil and water conservation measures and agricultural output are included into the same analytical framework for empirical analysis, revealing the influencing factors of farmers’ adoption behavior of soil and water conservation measures and their output effects, enriching existing research. Using endogenous switching regression model and introducing instrumental variables to overcome the endogenous problem between the adoption behavior of soil and water conservation measures and agricultural output, and to analyze the influencing factors of farmers’ adoption behavior of soil and water conservation measures and its impact on agricultural output. Using the counter-factual idea to ensure that the two matched individuals have the same or similar attributes, to evaluate the average treatment effect of the behavior of soil and water conservation measures, to estimate the real impact of adaptation measures on agricultural output as accurately as possible and to avoid misleading policy recommendations.

Details

International Journal of Climate Change Strategies and Management, vol. 12 no. 5
Type: Research Article
ISSN: 1756-8692

Keywords

To view the access options for this content please click here
Article
Publication date: 5 May 2015

Minjuan Zhao, Runsheng Yin, Liuyang Yao and Tao Xu

– The purpose of this paper is to assess how spatial heterogeneity and production diversification have affected the efficiency of households participating in the SLCP.

Abstract

Purpose

The purpose of this paper is to assess how spatial heterogeneity and production diversification have affected the efficiency of households participating in the SLCP.

Design/methodology/approach

Based on household survey data collected from three sample counties in the Loess Plateau region, the paper analyzes how spatial heterogeneity and business diversification have affected the production efficiency of households participating in the SLCP. Using four-step bootstrap, input stochastic distance frontiers of multi-inputs and multi-outputs are developed simultaneously with a technical efficiency effects model in which participating in the SLCP is treated as an exogenous variable.

Findings

The household production in the three counties is constrained by land, labor, capital, and fixed inputs; thus, it is germane to using a multi-input and multi-output household production technology to evaluate the SLCP. However, the relative importance of each input and output, the productive diversification, and the technological structure are differentiated in the three counties; estimating the regression with pooled data appears to conceal the influences of local factors and blur the specific divergence, compared to running county-based, separate regressions.

Research limitations/implications

The effects of the SLCP on farm household production are location dependent. It is necessary to include spatial heterogeneity within public policy evaluation. In addition to suggesting localized and differentiated schemes of subsidy, this implies that the government may provide means to facilitate different regions to make the economic transition.

Originality/value

This paper intends to make two contributions. First, the analysis will capture and explain the adjustments induced by the SLCP in off-farm and other activities for entire household production, and special attention is given to the diversification of household production outputs. Second, this analysis sheds new light to the significance of spatial differentiation in mediating the effectiveness of a public policy or program.

Details

China Agricultural Economic Review, vol. 7 no. 2
Type: Research Article
ISSN: 1756-137X

Keywords

1 – 10 of 78