The Countermeasures and Researches on Improving Farmers' Incomes of Shaanxi Province in the New Period

Combining the relative agricultural statistics from 2000 to 2009, the paper selects 20 major variables to carry out the analyses of factors. Through the component matrix, 3 common factors can be gained. They are investment on agricultural production, development of the second and the third agricultural industries and policies. On the basis of these 3 common factors, the paper suggests on how to improve farmers' incomes. Such as improving farmers' agricultural management incomes, improving farmers' salary and strengthening the construction of policies and so on.

Changes in Chinese People's Personal Incomes

Thegeneralsituationofpersonalincomesfrom1956to1978Itisnecessarytohaveknowledgeofthesituationofpersonalincomesfrom1956to1978beforewemakeasurveyofthepeople'sincomesatpresent.In1978Chinabeganintroducingthepolicyofreformandopeningtotheoutsideworld,thusus...

Social Capital,Financial Literacy and Lending Behaviour of Farmers with Different Incomes--Evidence Based on CHFS 2015 Data

Using microdata from the China Household Financial Survey Project(CHFS 2015),a negative binomial model is used to study the impact of social capital and financial literacy on the lending behavior of farmers with different incomes.The study found that the positive impact of social capital on the formal borrowing behavior of low-and middle-income farmers was significant,while the impact on informal borrowing behavior and both types of borrowing behavior of highincome farmers were not significant.Financial literacy has a significant positive effect on formal lending behavior only for high-income farmers.Financial literacy has a significant positive effect on formal lending behavior only for high-income farmers.

Non-timber forest products and household incomes in Bonga forest area,southwestern Ethiopia

We identified the major non-timber forest products （NTFPs）, their contributions to household incomes, and the determinants influenc-ing engagement of households in using NTFPs in the Bonga forest area of Gimbo and Decha Districts of Kaffa Zone, southwest Ethiopia. Six Kebeles （the lowest administrative unit in Ethiopia） were sampled from two Districts and 150 households were randomly sampled using propor-tional-to-size techniques based on the number of farm households in each Kebele. Secondary data were collected from and focus group discussions were conducted with selected individuals. The farmers diversified liveli-hood activities such as crop and livestock production, collection of NTFPs and off-farm activities. NTFPs played a significant role in household incomes. The contribution from the major NTFPs （forest coffee, honey and spices） accounted for 47% of annual household in-come. The role of NTFPs was influenced by a number of factors. Vari-ables including being native to the area （＋）, total land holding （＋）, pos-session of livestock （＋） and access to extension （＋） significantly affected forest coffee production. Age of household head （-）, land holding （＋） and distance of the market from the residence （-） significantly affected honey production. Size of landholding （＋）, distance to market （-） and distance of the forest from the residence （-） were significant variables determining the NTFP incomes derived by the households. Attention is needed in the design of policies and strategies for the well-being of households to the contribution of NTFPs to local incomes and the variables that affect the collection of NTFPs must be considered.

Impact of eco-efficiency compensation for public welfare forests on the incomes of farmers

The strategy of rural revitalization puts ecology and economic development at the same level,in order to explore whether the eco-efficiency compensation policy for public welfare forests can achieve a“win-win”for both ecology and people livelihood.This study probed into the consideration of income structure and used OLS analysis to conduct an empirical analysis on a sample of 443 households in Shaanxi Province.It was found that the eco-efficiency compensation for public welfare forests had not only a significantly positive effect on the forestry income and the total income of farm households,but also had a constructive influence on the non-forestry income,though smaller and less significant,which was closely attributed to the original income structures of these farm households.In addition,personal and household characteristics such as age,educational level and labor force size played decisive roles to nonforestry income and total income of farm households as well.

Road to Prosperity Connectivity brings industry to remote Guangxi village, raising incomes and living standards

Located in Yizhou District,Hechi City,Guangxi Zhuang Autonomous Region in south China,Zhadong was a poverty-stricken mountain village.The main source of villagers'income was the cultivation of crops such as corn.In the past,the income was extremely low,and the harvest was not guaranteed.

Off-farm employment,agriculture production activities,and household dietary diversity in environmentally and economically vulnerable areas of Asia

Access to off-farm employment has been expected to be a critical approach to ending hunger and all forms of malnutrition,two important targets of achieving Zero Hunger.This study aims to investigate the role of off-farm employment in improving dietary diversity through substitution effect and complementary effect with agricultural production activities and income effect.This study adopts Poisson/Tobit/Probit/OLS regressions and the instrument variable method based on the primary survey data collected among 1,282 households at 12 sites in environmentally and economically vulnerable areas of China,Nepal,Cambodia,Thailand,and Myanmar in 2019.The results show that off-farm employment is positively associated with household dietary diversity and the consumption of flesh meat,fish and other aquatic animals,fruits,and milk and dairy products,which are rich in protein and micronutrients.The results of mechanism analysis show that off-farm employment contributes to household dietary diversity by improving crop diversity,especially for poor households,boosting the probability of livestock raising for households with the middle one-third disposal income,and increasing household income.The positive association between off-farm employment and household dietary diversity is much higher for households with the bottom one-third disposal income,low illiteracy,and from upper-middle income countries.These findings imply that off-farm employment does play a vital role in achieving multiple benefits of poverty alleviation,malnutrition reduction,and agrobiodiversity conservation in environmentally and economically vulnerable areas.However,it may enlarge the gaps in dietary diversity between households with low human capital and from low and lower-middle income countries and those with high human capital and from middle-high countries.

Women’s empowerment and food consumption:Evidence from female-headed households in Tanzania

Despite the growing recognition of women’s increasing role in the household and corresponding empowerment programs in sub-Saharan Africa,intensive research on the relationship between women’s influence and household food consumption is minimal.Using the most recent(2017-2018)national household survey data from Tanzania,this study examined the influence of women’s empowerment on household food consumption.First,we compared the monthly consumption of eight food categories between female-headed households(FHHs)and male-headed households(MHHs)using both descriptive statistics and the propensity score matching(PSM)method.Furthermore,we adopted the two-stage Linear Expenditure System and Almost Ideal Demand System model(LES-AIDS)to estimate income and price elasticities for the two household types.The results show that FHHs consume bread and cereals,fish,oils and fats,vegetables,and confectionery(sugar,jam,honey,chocolate,etc.)more than MHHs.Moreover,FHHs have a significantly higher income elasticity of demand for all food groups than MHHs.They are also more price elastic than MHHs in meat,fish,oils,fats,sugar,jam,honey,chocolate,etc.

Exploring the influences of education,intelligence and income on mental disorders

Background Previous studies have shown that educational attainment(EA),intelligence and income are key factors associated with mental disorders.However,the direct effects of each factor on major mental disorders are unclear.Aims We aimed to evaluate the overall and independent causal effects of the three psychosocial factors on common mental disorders.Methods Using genome-wide association study summary datasets,we performed Mendelian randomisation(MR)and multivariable MR(MVMR)analyses to assess potential associations between the 3 factors(EA,N=766345;household income,N=392422;intelligence,N=146808)and 13 common mental disorders,with sample sizes ranging from 9907 to 807553.Inverse-variance weighting was employed as the main method in the MR analysis.Results Our MR analysis showed that(1)higher EA was a protective factor for eight mental disorders but contributed to anorexia nervosa,obsessive-compulsive disorder(OCD),bipolar disorder(BD)and autism spectrum disorder(ASD);(2)higher intelligence was a protective factor for five mental disorders but a risk factor for OCD and ASD;(3)higher household income protected against 10 mental disorders but confers risk for anorexia nervosa.Our MVMR analysis showed that(1)higher EA was a direct protective factor for attention-deficit/hyperactivity disorder(ADHD)and insomnia but a direct risk factor for schizophrenia,BD and ASD;(2)higher intelligence was a direct protective factor for schizophrenia but a direct risk factor for major depressive disorder(MDD)and ASD;(3)higher income was a direct protective factor for seven mental disorders,including schizophrenia,BD,MDD,ASD,post-traumatic stress disorder,ADHD and anxiety disorder.Conclusions Our study reveals that education,intelligence and income intertwine with each other.For each factor,its independent effects on mental disorders present a more complex picture than its overall effects.

Add-on Renewables Aim to Decrease Impact and Increase Benefits

In the South Boulder Canal near Denver,CO,USA,turbine blades that resemble the mixers used to stir cake batter in kitchens(Fig.1)spin in the rushing water[1].Each of the turbines,manufactured by Emrgy of Atlanta,GA,USA,generates up to 25 kW of electricity for the area’s grid[2].In an orchard in southern Italy,an arcade of solar panels stands above rows of citron trees,which are valuable for the essential oils in their fruits[3].The solar panels not only produce electricity for local homes,but also protect the trees from the sun,reducing their water use by 70%[3].These are two examples of a clean energy trend:integrating power-generation with other uses.In the approach called agrivoltaics,for example,farmers and ranchers grow crops or raise livestock around and beneath solar panels(Fig.2)[4].Experts hope that such add-on strategies can spare farmland,cut the environmental costs of clean energy development,supply extra income to landowners,and furnish other benefits[5,6].

Influence of Transportation Accessibility on Urban-rural Income Disparity and Its Spatial Heterogeneity

Transportation accessibility has been treated as an important means of reducing the urban-rural income disparity.However,only a few studies have examined the effects of different types of transportation accessibility on urban-rural income disparity and their spatial heterogeneity.Based on data from 285 prefecture-level(and above)Chinese cities in 2000,2005,2010,2015,and 2020,this study uses spatial econometric models to examine how highway accessibility and railway accessibility influence the urban-rural income disparity and to identify their spatial heterogeneity.The result reveals that highway accessibility and railway accessibility have‘coreperiphery’ring-like circle structures.The urban-rural income disparity exhibits strong spatial clustering effects.Both highway accessibility and railway accessibility are negatively associated with urban-rural income disparity,and the former having a greater effect size.Moreover,there is a substitution effect between highway accessibility and railway accessibility in the whole sample.Furthermore,these associations differ in geographic regions.In the central region,highway accessibility is more important in reducing the urban-rural income disparity,but its effect is weakened with the increase of railway accessibility.In the western region,railway accessibility has a larger effect on narrowing the urban-rural income disparity,and this effect is strengthened by the increase of highway accessibility.We conclude that improving transportation accessibility is conducive to reducing the urban-rural income disparity but its effect is spatial heterogenetic.Highways and railways should be developed in a coordinated manner to promote an integrated transport network system.

Promotion of sexual and reproductive health in Pakistan-The role of technology and online awareness

Digital health innovations such as online webinars,websites,blogs,and health apps have been associated with increased sexual and reproductive health(SRH)among the general population.Many studies have been conducted in developed countries in the West;however,little research has been conducted in low-income countries,especially in Pakistan.The socioeconomic instability and the government's lack of awareness and knowledge have resulted in no regulations being placed to incorporate telehealth in medicine.The healthcare departments must take into consideration the lifechanging impact of telehealth and the barriers that prevent it in becoming known,to reduce the incidence of unsafe abortions and sexual health practices that prove to be a stigma in society.

First case of fungal keratitis secondary to Yamadazyma mexicana

Dear Editor,Fungal keratitis is a serious and potentially sightthreatening infection that poses a global health concern,with higher incidence rates reported in low-income countries and regions with tropical climates[1-3].Risk factors for fungal keratitis include trauma with vegetative matter,contact lens wear,history of ocular surgery,chronic topical steroid use,low socioeconomic status and tropical climate[1-2].Fungi have the propensity to penetrate deep into the corneal stroma,making the infection difficult to treat with topical antifungal agents alone.Complications such as corneal perforation and endophthalmitis can arise in severe cases,making early identification of the causative fungal pathogen of utmost importance[4-5].Moreover,obtaining susceptibilities to the available antifungal agents can be sight and eye saving[5].

Consensus on rapid screening for prodromal Alzheimer's disease in China

Alzheimer's disease(AD)is a common cause of dementia,characterised by cerebral amyloid-βdeposition,pathological tau and neurodegeneration.The prodromal stage of AD(pAD)refers to patients with mild cognitive impairment(MCl)and evidence of AD's pathology.At this stage,disease-modifying interventions should be used to prevent the progression to dementia.Given the inherent heterogeneity of MCl,more specific biomarkers are needed to elucidate the underlying AD's pathology.Although the uses of cerebrospinal fluid and positron emission tomography are widely accepted methods for detecting AD's pathology,their clinical applications are limited by their high costs and invasiveness,particularly in low-income areas in China.Therefore,to improve the early detection of Alzheimer's disease(AD)pathology through cost-effective screening methods,a panel of 45neurologists,psychiatrists andgerontologistswas invited to establish a formal consensus on the screening of pAD in China.The supportive evidence and grades of recommendations are based on a systematic literature review andfocus group discussion.National meetings were held to allow participants to review,vote and provide their expert opinions to reach a consensus.A majority(two-thirds)decision was used for questions for which consensus could not be reached.Recommended screening methods are presented in this publication,including neuropsychological assessment,peripheral biomarkers and brain imaging.In addition,a general workflow for Screening pAD in China is established,which will help clinicians identify individuals at high risk and determine therapeutic targets.

Digital Infrastructure and Common Prosperity: An Influence Mechanism and Effect Test

Common prosperity is an important goal of China’s modernization efforts,and narrowing the income gap among different regions and populations is crucial to achieving common prosperity.The construction of digital infrastructure has significantly boosted productivity and facilitated the diffusion of technology in less developed regions,leading to notable changes in labor employment and the income gap,which aligns with the goal of common prosperity.This paper explores the mechanism through which digital infrastructure influences common prosperity with a focus on employment,using panel data from 30 provinces in China between 2011 and 2021 for an empirical test.The research finds that digital infrastructure significantly promotes common prosperity.By expanding employment and increasing labor remuneration,the influence of digital infrastructure on common prosperity exhibits regional heterogeneity and a nonlinear threshold effect.The research suggests that the government should enhance investment in and construction of digital infrastructure,reduce the digital divide through policy support in rural areas,promote digital employment and skills training,and encourage industrial integration and enterprise participation.

Assessing the role of forest resources in improving rural livelihoods in West Bengal of India

Forest resources play a vital role in supporting the livelihoods of rural communities residing in forest-rich areas.In India,a forest-rich country,a significant proportion of non-timber forest products(NTFPs)is consumed locally,supporting numerous rural communities relying on forests for essential resources,such as firewood,timber,and NTFPs.This study focuses on two forest-dominant districts in West Bengal of India,namely,Jhargram District and Paschim Medinipur District.Furthermore,this study aims to enhance the understanding of forest-dependent communities by comparing the standard of living among different village classes.Thus,we categorized villages into three classes based on the distance from home to forests,including inner villages,fringe villages,and outer villages.Through focus group discussions and household surveys,we explored the sources of local economy,income sources of household,and reasons for economic diversification in different village classes.The study findings confirm that substantial variations existed in the income sources and the standard of living in these villages.Forest income varied dramatically among the three village classes,with inner villages having greater forest income than fringe villages and outer villages.Meanwhile,households in outer villages depended on forests and engaged in diverse economic activities for their livelihoods.Compared with inner and fringe villages,households in outer villages derived a significant portion of their income from livestock.This discrepancy can be attributed to challenges,such as inadequate transportation,communication,and underdeveloped market chains in inner villages.Moreover,these findings emphasize the need to develop sustainable forest management practices,create alternative income-generation opportunities,and improve infrastructure and market access in inner villages,as well as promote economic diversification in outer villages.Through targeted policy measures,these forest-rich regions can achieve improved livelihoods,enhanced standard of living,and increased resilience for their communities.

Socio-Economic and Health Indicators’ Relation to Self-Assessed Health: A Case Study of Phai Tha Pho, Phichit Province, Thailand

Background: Self-assessed health (SAH) is used as a common method of sociology research to understand the implications of self-reported health and the link to social factors like education, income, and occupation. The paper explores the impact of socio-economic and health indicators on self-assessed health in the middle-aged to the senior population in a rural community in Thailand. Methods: Primary data were collected after conducting a randomized sampling for 100 people using direct interviews in two locations within the sub-district of Phai Tha Pho, Thailand. The target demographic was the middle-age to elderly population. A logit model was applied to the collected samples. Results: The study highlights that higher education, income, and sleep are high predictors for positive SAH while high blood sugar level has significant adverse effects on SAH. Detection of metabolic syndrome further indicates degraded overall health perception over time. Conclusion: The study demonstrated the relationship between socio-economic indicators and illnesses alongside individual SAH in rural Thailand. Accordingly, policies have been proposed that include targeted subsidies for healthy food alternatives, promoting work-rest balance at all levels, and an expansion of sub-district education up to secondary school. SAH can be performed regularly and expanded across communities including areas of low-income living due to its low implementation costs. It could also be used as a tool to support the government’s public health initiatives complementing the existing five-year direct health check-up programme. A comparative study of SAH across regions is recommended for future research.

First experience in laparoscopic surgery in low and middle income countries: A systematic review

BACKGROUND Laparoscopic surgery has reduced morbidity and mortality rates,shorter post-operative recovery periods and lower complication rates than open surgery.It is routine practice in high-income countries and is becoming increasingly common in countries with limited resources.However,introducing laparoscopic surgery in low-and-middle-income countries(LMIC)can be expensive and requires resour-ces,equipment,and trainers.AIM To report the challenges and benefits of introducing laparoscopic surgery in LMIC as well as to identify solutions to these challenges for countries with limited finances and resources.METHODS MEDLINE,EMBASE and Cochrane databases were searched for studies reporting first experience in laparoscopic surgery in LMIC.Included studies were published between 1996 and 2022 with full text available in English.Exclusion criteria were studies considering only open surgery,ear,nose,and throat,endoscopy,arthro-scopy,hysteroscopy,cystoscopy,transplant,or bariatric surgery.RESULTS Ten studies out of 3409 screened papers,from eight LMIC were eligible for inclusion in the final analysis,totaling 2497 patients.Most reported challenges were related to costs of equipment and training programmes,equipment pro-blems such as faulty equipment,and access to surgical kits.Training-related challenges were reliance on foreign trainers and lack of locally trained surgeons and theatre staff.The benefits of introducing laparoscopic surgery were economic and clinical,including a reduction in hospital stay,complications,and morbidi-ty/mortality.The introduction of laparoscopic surgery also provided training opportunities for junior doctors.CONCLUSION Despite financial and technical challenges,many studies emphasise the overall benefit of introducing laparoscopic surgery in LMICs such as reduced hospital stay and the related lower cost for patients.While many of the clinical centres in LMICs have proposed practical solutions to the challenges reported,more support is critically required,in particular regarding training.

Digitalization’s Effects on Income Growth and Distribution-Evidence from the CHDES Database

Using the CHDES database,we created the CIDI to comprehensively quantify digital adoption at the individual level and examine digitalization’s impact on individual income.Empirical analysis results indicate that increasing the CIDI by one standard deviation(0.13)improves individual income by 5.93 percentage points,which remains true after a series of endogeneity and robustness tests.In the heterogeneity analysis,we discovered that when digital adoption grows,residents in the countryside and county seats can earn more money through internet business operations and other channels.This helps to decrease the urban-rural income divide,but it has also pushed those digitally skilled into high-paying sectors,widening the income gaps between sectors.In the mechanism analysis,we developed an income function that takes into account the individual level of digitalization to show that digitalization can boost income by increasing working hours or labor participation and adjusting the portfolio of individual material,human,and social capital.In this paper,we have expanded the system for measuring the individual levels of digitalization by offering basic data,research methodology,and policy suggestions for the digital economy’s inclusive development.

The pain of inequality:Income gap and carbon intensity of well-being

The 2030 Agenda for Sustainable Development of the United Nations sets out 17 sustainable development goals(SDGs)that call for global action to end poverty,protect the planet,and improve the lives and futures of all people,including reducing inequality and taking climate action.The academic and policy issues corresponding to these two goals are income distribution and low-carbon development respectively.This paper makes a connection between the two and examines the impact of income gap on carbon intensity of well-being(CIWB)based on panel data of 40 countries around the world,which has important theoretical significance and empirical reference value.The main conclusions are as follows:(1)During the sample period,the carbon intensity of well-being of 36 in the 40 countries showed a downward trend,indicating that the pressure brought by the increase of unit well-being level on carbon emission space was gradually decreasing.The biggest drop in carbon intensity of well-being is in Estonia.(2)According to the average value of the past years,the income gaps are large in Colombia,Costa Rica,Paraguay,Ecuador and Peru,and the five countries with the smallest income gap are Ukraine,Slovenia,Belarus,the Czech Republic and Kyrgyzstan Republic.(3)The regression results of the econometric model with carbon intensity of well-being as the dependent variable,income gap as the independent variable,and urbanization rate,energy consumption structure and export trade as the control variables show that the increase of income gap will increase carbon intensity of well-being,and the increase of urbanization rate,renewable energy consumption and export dependence will reduce carbon intensity of well-being.Finally,according to the research conclusions,the policy implications for China's future high-quality development are extracted.