Yuansheng Jiang

Bio: Yuansheng Jiang is an academic researcher from Sichuan Agricultural University. The author has contributed to research in topics: Cointegration & Unit root. The author has an hindex of 12, co-authored 44 publications receiving 467 citations.

Short and long-run impacts of climate change on agriculture: an empirical evidence from China

Abstract: The climate change effects on agricultural output in different regions of the world and have been debated in the literature of emerging economies. Recently, the agriculture sector has influenced globally through climate change and also hurts all sectors of economies. This study aims to examine and explore the impact of global climate change on agricultural output in China over the period of 1982-2014.,Different unit root tests including augmented Dickey–Fuller, Phillips–Perron and Kwiatkowski, Phillips, Schmidt and Shin are used to check the order of integration among the study variables. The autoregressive distributed lag (ARDL) bounds testing approach to cointegration and the Johansen cointegration test are applied to assess the association among the study variables with the evidence of long-run and short-run analysis.,Unit root test estimations confirm that all variables are stationary at the combination of I(0) and I(1). The results show that CO2 emissions have a significant effect on agricultural output in both long-run and short-run analyses, while temperature and rainfall have a negative effect on agricultural output in the long-run. Among other determinants, the land area under cereal crops, fertilizer consumption, and energy consumption have a positive and significant association with agricultural output in both long-run and short-run analysis. The estimated coefficient of the error correction term is also highly significant.,China’s population is multiplying, and in the coming decades, the country will face food safety and security challenges. Possible initiatives are needed to configure the Chinese Government to cope with the adverse effects of climate change on agriculture and ensure adequate food for the growing population. In concise, the analysis specifies that legislators and policy experts should spot that the climate change would transmute the total output factors, accordingly a county or regional specific and crop-specific total factor of production pattern adaptation is indorsed.,The present empirical study is the first, to the best of the authors’ knowledge, to investigate the impact of global climate change on agricultural output in China by using ARDL bounds testing approach to cointegration and Johansen cointegration test.

Determinants of demand for credit by smallholder farmers': a farm level analysis based on survey in Sindh, Pakistan

Abstract: In the developing countries, formal credit has dominant role for the development of agriculture sector. It increases the farmer's purchasing power for better farm inputs and agricultural technology for high crop productivity. The main purpose of this study is to examine the influence of socioeconomic characteristics of smallholder farmers for credit demand in Sindh, Pakistan.,A cross-sectional data set randomly collected from 90 smallholder farmers in Thatta district, Sindh, Pakistan, is examined. Descriptive statistics, correlation and the OLS regression method were used to demonstrate the important factors affecting the demand for formal credit.,The results revealed that formal education, experience of farming, landholding size, road access and extension contacts positively and significantly influenced the demand for formal credit.,This study is the first, to the best of authors' knowledge, to demonstrate the influence of various socioeconomic characteristics of smallholder farmers on demand for formal credit in Sindh, Pakistan. It also illustrates the imperative contribution to the literature regarding credit access and demand to improve the agricultural productivity.

Famers’ access to credit: Does collateral matter or cash flow matter?—Evidence from Sindh, Pakistan

Abstract: Credit is highly demanded in different parts of the world, mainly for capital requirement to improve land, purchase of main agricultural inputs including fertilizers, seeds, pesticides, and purchase of farm machinery. The purpose of this study was to examine the farmers’ access to credit: does collateral matter or cash flow matter?—evidence from Sindh province of Pakistan. The random sampling technique was used to collected data from 300 rural households through a face-to-face interview. To find the important factors affecting access to credit in Sindh province of Pakistan, we performed descriptive statistics and probit regression model. The results of probit regression model showed that gender, household size, educational level, farming experience, farm size, income, and availability of collateral have positive effect on farmers’ access to credit, while age has a negative and statistically insignificant effect on the farmers’ access to credit. Therefore, this study recommended that institutional ...

Climate change impacts

Abstract: The UK has passed legislation that introduces the world’s first long-term legally binding framework to tackle the dangers of climate change (The Climate Change Act 20084). The act requires Government to set carbon budgets, which are limits on greenhouse gas emissions in the UK for consecutive five year periods. Models analysed in IPCC AR4 have a range of 0-60% for an AMOC decrease over the next 100 years. The RAPID-WATCH 26˚N observations provide the only continuous measurements of the AMOC strength and vertical structure, and are thus a vital monitoring tool for this key climate variable'. Analysis of the PSMSL data set, reviewed by scientific panels such as the IPCC, inform studies of impacts of climate change on both national and international levels (e.g. UK Marine Climate Change Impacts Partnership (MCCIP), UK Climate Impacts Programme (UKCIP), UK Foresight Flood and Coastal Defence Review, Charting Progress and Charting Progress 2, IPCC Working Group II).

Sustainable Business Models: A Review

Abstract: During the past two decades of e-commerce growth, the concept of a business model has become increasingly popular. More recently, the research on this realm has grown rapidly, with diverse research activity covering a wide range of application areas. Considering the sustainable development goals, the innovative business models have brought a competitive advantage to improve the sustainability performance of organizations. The concept of the sustainable business model describes the rationale of how an organization creates, delivers, and captures value, in economic, social, cultural, or other contexts, in a sustainable way. The process of sustainable business model construction forms an innovative part of a business strategy. Different industries and businesses have utilized sustainable business models’ concept to satisfy their economic, environmental, and social goals simultaneously. However, the success, popularity, and progress of sustainable business models in different application domains are not clear. To explore this issue, this research provides a comprehensive review of sustainable business models literature in various application areas. Notable sustainable business models are identified and further classified in fourteen unique categories, and in every category, the progress -either failure or success- has been reviewed, and the research gaps are discussed. Taxonomy of the applications includes innovation, management and marketing, entrepreneurship, energy, fashion, healthcare, agri-food, supply chain management, circular economy, developing countries, engineering, construction and real estate, mobility and transportation, and hospitality. The key contribution of this study is that it provides an insight into the state of the art of sustainable business models in various application areas and future research directions. This paper concludes that popularity and the success rate of sustainable business models in all application domains have been increased along with the increasing use of advanced technologies.

A multivariate cointegrated modelling approach in testing temporal causality between energy consumption, real income and prices with an application to two Asian LDCs

Abstract: Unlike previous studies on the casual relationship between energy consumption and economic growth, this paper illustrates how the finding of cointegration(i.e. long-term equilibrium relationship) between these variables, may be used in testing Granger causality. Based on the most recent Johansen's multiple cointegration tests preceded by various unit root or nonstationarity tests, we test for cointegration between total energy consumption, real income and price level of two Asian LDCs: Thailand and Sri Lanka. Nonrejection of cointegration between variables rules out Granger noncausality and implies at least one way of Granger-causality either unidirectional or bidirectional. Secondly, by using a dynamic vector error-correction model, we then analyse the direction of Granger-causation and hence the within-sample Grangerexogeneity or endogeneity of each of the variables. Thirdly, the relative strength of the causality is gauged (through the dynamic variance decomposition technique) by decomposing the total ...