Positive Drivers Research Articles

STING expression is an independent prognostic factor in patients with mycosis fungoides

Mycosis fungoides is recognized as an indolent cutaneous malignant T-cell lymphoma. In contrast, there are few therapeutic options for advanced forms of mycosis fungoides. Since immunotherapy is desirable as an alternative therapeutic option, identifying candidate molecules is an important goal for clinicians. Although tumor-derived negative immunomodulatory molecules, such as PD-1/PD-L1, have been identified in various malignancies, the useful positive immunological drivers of mycosis fungoides are largely unknown. We found that the stimulator of interferon (IFN) genes (STING) was highly upregulated in early-stage mycosis fungoides. Immunohistochemical examination revealed different STING staining patterns in patients with mycosis fungoides. Although there were no significant differences in clinical factors’ characteristics, STING expression was associated with the survival of patients with mycosis fungoides. The survival rate was significantly poor in patients with low STING-expressing mycosis fungoides. Univariate and multivariate analyses revealed that low STING expression was associated with an increased hazard ratio. Our results indicate that STING expression independently influences the prognosis of mycosis fungoides.

Translating the environmental orientation of firms into sustainable outcomes: the role of sustainable dynamic capability

Emerging social and environmental demands drive organisations to seek management capabilities to reach sustainability outcomes. Despite relative efforts, there is still a need for works that empirically address the main antecedents and outcomes of sustainable dynamic capabilities (SDC). Focusing on the case of Brazil, we examine the mediating effect of SDC between environmental orientation and firm performance related to green innovation, green competitive advantage and environmental adaptability and find that SDC significantly mediates the effect of environmental orientation on green innovation. However, mediation between environmental orientation and green competitive advantage only obtains partial support. SDC and environmental adaptability do not present significative correlation, opening new discussions about adaptability as a direct consequence of SDC. These results contribute to the design of green innovation and green competitive advantage strategies as positive drivers of sustainability outcomes.

Drivers and barriers of women participation in agricultural activities in Nigeria

The study examined the drivers of women participation in agricultural activities in Nigeria. A total of 636 women farmers were used for the study and data were collected through interview and questionnaire process. Descriptive statistics, Participation index and Ordered Logit regression were used to analyze the data. The results revealed that the mean age, household size, farming experience and farm size were 44 years, 8 members, 18 years and 3.1 ha respectively. The result also revealed that women farmers in Nigeria engaged themselves in agricultural activities such as crop farming, livestock farming, agricultural trading, poultry farming, horticultural farming and aquaculture farming. Result of the participation index revealed that women farmers were actively involved in agriculture with 49.06 % of the women with high level of participation. The regression analysis revealed that the positive drivers of women participation in agricultural activities were household size, marital status, level of education, farming experience, disposable income, extension service and membership of association. In the contrary, distance to farm is a negative driver of women participation in agricultural activities in the study area. In addition, inadequate financial opportunities and inadequate access to extension services were among the serious constraints that hindered women participation in agricultural activities.

Forest carbon sink in China: Linked drivers and long short-term memory network-based prediction

The study contributes to existing literature by proposing a decomposition framework combining production-theoretical decomposition analysis with Gini coefficient, and demonstrating superiority of long short-term memory neural network (LSTM) in predicting forest carbon sink (FCS) in the case of small dataset. We linked FCS with socioeconomic factors ignored by most previous studies (e.g., urbanization, income inequality, technical efficiency and technological change). We then investigated China's forestry sector as a case during 2005–2017. The results showed that FCS and its technical efficiency presented an upward trend during the study period. In terms of drivers, GDP and urbanization were the positive drivers driving the increase in FCS. The dominant driver has changed from urbanization to the urban-rural income inequality in explaining the distribution pattern of residential income for determining FCS. Furthermore, LSTM showed the excellent performance for projecting city-level FCS. We finally provided some policy proposals according to the results. • Income inequality, urbanization and forest carbon sink (FCS) nexus were quantified. • A novel framework combining production-theoretical decomposition analysis with Gini coefficient was proposed. • Long short-term memory neural network was used to predict city-level FCSs.

Corporate governance and risk disclosure: evidence from integrated reporting adopters

PurposeThis study aims to examine the impact of corporate governance attributes, in the form of board characteristics, on risk disclosures provided through integrated reporting (IR).Design/methodology/approachDrawing upon an agency theory perspective, this study examines the effect of the main corporate governance board characteristics (size, gender diversity, independence and meeting frequency) on the level of risk disclosure provided by a sample of 95 IR adopters from 24 countries for 2018.FindingsThe results suggest that firms are slow to realise IR’s potential to produce innovations in risk disclosure mechanisms. In addition, certain board characteristics, such as gender diversity, independence of directors and meeting frequency, are positive drivers of the risk disclosure provided via IR.Originality/valueTo the best of the authors’ knowledge, this is the first study that investigates the impact of corporate governance mechanisms on risk disclosure provided via IR. Connecting corporate governance mechanisms to IR risk disclosure practices can contribute to enhancing the practical and theoretical understanding of the role that the board of directors may play in stimulating transparency and accountability about risks via an alternative communication tool, IR, to the benefit of both investors and other stakeholders.

Inequality, social protection policy, and inclusion: pertinent theories and empirical evidence

The available literature shows that there is a questionable direction of correlation between income inequality, redistribution policies, and economic prosperity. Meanwhile, there is also a striking claim that rising economic inequality is an immense concern. This paper, therefore, aims to summarize the antagonistic thoughts. Moreover, it presents a conceptual model and empirically measures the nexus of income inequality and social protection policy with inclusive development. The fixed effects regression of the panel dataset from 34 African countries reveals that income inequality is a negative driver but social redistribution policies are positive drivers of inclusive development in the long run. The control variables such as inflation, population growth rate, and carbon dioxide emissions stand against inclusion. However, the labour force participation rate, freedom score, life expectancy at birth, enrolment rate in secondary school and share of employment in industry show a positive correlation with inclusion.

New insights into the drivers of moss‐associated nitrogen fixation and cyanobacterial biomass in the eastern Canadian boreal forest

Abstract Moss‐associated cyanobacteria nitrogen (N2‐) fixation can contribute to support moss growth and constitutes a major source of new N in boreal forest ecosystems. The biomass of moss‐colonizing cyanobacteria and their N2‐fixation are usually considered linearly correlated. Yet, recent evidence has shown that cyanobacterial biomass and N2‐fixation can be decoupled, suggesting that they are not necessary affected by the same environmental and ecological drivers. Climate and nutrients were reported as affecting moss‐associated N2‐fixation, with equivocal results, whereas drivers of moss cyanobacterial biomass remain unclear. In addition, these drivers are often determined through manipulative experiments (e.g. fertilization and incubation) and remain to be validated with complementary observational studies to help us better understand future impacts of global change on the moss–cyanobacteria symbiosis. We hypothesized that moss‐associated cyanobacterial biomass is controlled in situ by factors affecting bacterial growth, whereas N2‐fixation is controlled by factors affecting enzymatic reactions. Using random forests, Spearman correlations and linear mixed‐effects models, we determined the main drivers of cyanobacterial biomass and N2‐fixation of two feather moss species, which were collected over 3 years along a 1000‐km latitudinal transect in the eastern Canadian boreal forest. We found that temperature, precipitation and phosphorus were the main positive drivers of moss cyanobacterial biomass and that temperature and molybdenum were the main positive drivers of N2‐fixation. Vanadium was a negative driver of N2‐fixation, suggesting the use of alternative nitrogenases by cyanobacteria. Both cyanobacterial biomass and N2‐fixation were strongly influenced by the moss species and were negatively correlated with moss C:N stoichiometry, highlighting the role of N2‐fixation in moss N enrichment. Synthesis. We identified for the first time some environmental drivers of moss‐associated cyanobacterial biomass and showed that they contrast with the drivers of N2‐fixation, which should be considered in further research and confirmed in other experimental settings. This is an important advance in our knowledge of moss–cyanobacteria associations, which would greatly help in better predicting the impacts of global change on this symbiosis and on nitrogen inputs in boreal forest ecosystems.

Profit efficiency in family-owned crop farms in Eastern Cape Province of South Africa: a translog profit function approach

BackgroundFarm productivity on smallholder family-owned crop farms remains low despite several interventions to transform agriculture especially in developing countries. Farmers in rural areas face serious constraints that impede their productive capacities for the principal dietary staple, notably maize. Smallholder farmers have access to unprofitable markets that in turn make their enterprises less profitable. Efforts to commercialise smallholder maize production have not yielded desired results. This study, therefore, estimates profit efficiency and its determinants in the smallholder cropping systems in the Eastern Cape Province of South Africa.MethodologyA random sample of 158 smallholder maize farmers was selected. A normalised translog profit function was then fitted by means of a one-step estimation of technical efficiency and its determinants using the STATA software.ResultsThe results indicate that cost of fertiliser and area under cultivation for maize were the positive drivers of profitability. Complementarities among resources were very important determinants of profit.ConclusionThe study concludes that family-owned farms have a positive effect on crop production. Farm profits rise with cultivated area in maize farms. Therefore, the study recommends that policy favouring smallholder commercialisation would improve farm profits.

Impact of FDI and Its Absorption Capacity on the National Innovation Ecosystems: Evidence from the Largest FDI Recipient Countries of the World

Foreign direct investment (FDI) improves economic growth by stimulating native investment, facilitating technology transfers in the recipient country and increasing human capital development, thus playing a vital role in economic development. On the other hand, innovation is also considered one of the major drivers for the economic growth of a country. This study empirically investigates the impact of FDI and its absorption capacity on the national innovation system of the world’s top five largest FDI recipient countries for the period of 1990–2016. Using two-stage analysis (DEA and Tobit regression), we found that research and development expenditures, researchers in the host country and the number of patents, trademark and industrial design applications are positive drivers of the national innovation systems. Moreover, the FDI inflows positively impact the innovation efficiency in the host countries. However, the strength of this relationship depends on the availability of the absorption capacity of FDI in the host country. The result shows that the global financial crisis and inflation negatively impact the FDI inflows and innovation efficiency in the sample countries. It concludes that FDI inflows and the country’s strength of domestic absorption capacity are essential drivers for developing national innovation ecosystems.JEL Codes: F1, F4, G10, M21

Drivers of Customer Switching Behaviour in the Nigerian Road Transport Industry

The purpose of this study was to investigate the factors driving customer switching behaviour in the Nigerian road transport industry. Arguing from the theory of planned behaviour, a survey of 371 (306 valid) customers of the organized road transport industry in Nigeria’s South-East was carried out. Collected data was analyzed with multiple regression analysis (MRA) in SPSS 21.0. Findings indicate that service quality, price, and promotion are positive and significant drivers of switching behaviour, while location is not. The study recommends crafting marketing strategies around service quality, price, and promotion as effective approach to avoid customer swapping.

A Bayesian approach to understand controls on total and labile soil carbon in cultivated soils of Central and Southern Malawi

Soil degradation on cultivated lands of Sub-Saharan Africa is a threat to food security. Even so, drivers of soil C total and labile pools are little understood for smallholder farms. A unique opportunity to evaluate how environment conditions management drivers was afforded by a systematically representative on-farm study of 1108 cultivated plots in marginal to mesic environments across Central and Southern Malawi. Soil sample collection and analysis and surveys of farmer practice were conducted, and linked to remote-sensed data on environmental and spectral factors. Soil properties included the following ranges (mean values per site), soil clay (6.41% to 17.36%), pH (6.09 to 6.54), soil organic carbon (SOC) (6.31 g C kg soil−1 to 16.17 g C kg soil−1), and two labile soil C assays: permanganate oxidizable carbon (POXC) (291.5 mg C kg soil−1 to 504.5 mg C kg soil−1) and 24-h mineralizable C (Cmin) (28.71 mg C kg soil−1 to 65.34 mg C kg soil−1). Incorporation of domain specialists’ expectation of uncertainty levels is key to carrying out a multiscale assessment of soil total and labile C status, thus a Bayesian linear regression approach was used for determining the influential drivers. Overall, the soil clay content is a strong predictor of SOC (0.479–0.517), POXC (0.139–0.266), and Cmin (0.125–0.223) at the 95% Bayesian credibility level from the Gibbs posterior samples. Vegetative cover, reflected by Normalized Difference Vegetation Index (NDVI), is also a dominant driver for SOC (0.234–0.329), POXC (0.163–0.285), and Cmin (0.249–0.38). Of the management practices studied, crop diversity, residue incorporation, and weed presence are all positive drivers for total soil C, whereas fertilizer N is not. At both regional and local scales, labile soil C pools (as reflected by POXC and Cmin) are not consistently responsive to management. The drivers of SOC are highly consistent, a strong indication of statistical robustness. This contributes to the understanding of patterns of carbon pools in intensively cultivated fields in Sub-Saharan Africa.

Effects of key leadership determinants on business sustainability in entrepreneurial enterprises

PurposeToday’s small enterprises are forced to rethink their business-as-usual management and shift toward corporate sustainability. The empirical paper responds to a crucial quest for many modern leaders and entrepreneurs, specifically small business owners in emerging economies. This paper aims to answer what they can do to increase long-term financial performance and enhance stakeholder satisfaction, thereby contributing to long-term business sustainability.Design/methodology/approachUsing a convenience sampling, data were collected from a sample of 280 business leaders and entrepreneurs of small enterprises across industries in an emerging economy of Thailand. This study used a sustainable leadership research framework. Factor analysis and multiple regression analysis were used for data analysis.FindingsSeven valid and reliable leadership factors were uncovered as new underlying leadership constructs to examine business sustainability in small entrepreneurial enterprises in Thailand. Results from multiple regressions revealed two significantly positive factors or drivers (i.e. trusting, innovative team orientation and strong, shared vision) for enhanced two sustainability performance outcomes (i.e. financial performance and stakeholder satisfaction). The findings thus contribute to advance our limited knowledge about the contextualised constructs and possible theoretical development of the developing research realm.Research limitations/implicationsSuccessful small entrepreneurial organisations in Thailand and other emerging economies that wish to improve their business sustainability are suggested to adopt the essential leadership and management practices (i.e. trusting, innovative team and strong, shared vision). Future studies may examine data from a larger sample size and other countries to expand our limited understanding in different contexts.Practical implicationsThe resulting practical insights can be used to guide business leaders, entrepreneurs, practitioners and policymakers towards making strategic priorities and investments for improved business competitiveness, resilience and sustainability in small entrepreneurial enterprises. Overall, this study may be a starting point for further investigation on developing entrepreneurial growth and business sustainability in small sustainable enterprises across emerging economies.Originality/valueThe paper responds to calls for more contextualised research studies in the evolving multidisciplinary field of entrepreneurial leadership and business sustainability, particularly in an emerging economy of Thailand. It also unveils the essential strategic leadership factors that positively drive business sustainability in small entrepreneurial firms. And, it empirically examines the effects of diverse strategic leadership factors and multiple sustainability performance outcomes in a single study. It further proposes an emergent leadership-performance model for entrepreneurial business sustainability in the context-specific study. Above all, it advances the currently limited empirical knowledge in the emerging research front towards more sustainable futures.

Farmers’ Demonstrate Rationality and Transitivity in Variety Choice: Empirical Evidence From two Rice Growing Niches in Coastal Kenya.

Purpose: A cross-sectional survey was designed to study farmers’ preference and choice framework for rice varieties in Kwale and Taita-Taveta counties of coastal lowland Kenya.
 Methodology: The survey used a multi-stage sampling technique; systematic selection for the study counties/niches, a purposive sampling approach for the study population (rice growers only) and a systematic random sampling for the respondents on an nth occurrence. Data was collected with the aid of a semi-structured questionnaire and key informant interviews from key rice value chain actors; including farmers as producers as well as consumers and agricultural extension service providers (AESPs) and other stakeholders. A total of 137 individual respondents were interviewed using the semi-structured questionnaire while the key informant interviews engaged a total of 29 AESPs. Data analysis focused on exploring on the varieties that farmers grew and whether they had a criteria or pattern for choosing the varieties to grow and seed source.
 Findings: Results confirmed that the Kwale rice growing niche had a higher rice variety diversity (more than 12 varieties) while Taita-Taveta had only around seven (7) common varieties. Rice was more traditionally grown in Kwale with low acreage and low yields compared to Taita-Taveta. Common varieties grown were Pachanga, Supa, Kitumbo, Makonde and Kibawa in Kwale while in Taita-Taveta, Japan, Supa and Hybrid 6444 rice varieties were common (with prevalence rating of 44.8%, 25.4%, 22.4%, 20.9 and 17.9% in Kwale respectively and 55.7%, 54.3% and 18.6% in Taita-Taveta respectively). Varieties grown by farmers in Kwale had a long history of seed recycling and were characterized by low productivity (less than 6, 90-kg bags per acre) and subsistent in nature than in Taita-Taveta. The general picture for variety prevalence in both (Kwale and Taita) growing niches was that farmers mostly relied on traditional (own-preserved, farmer-to-farmer exchange or market) seed systems for the recycled rice varieties. Variety choice by farmers who are both producers and consumers demonstrated a rational and transitive behavior with land resource allocation.
 Contribution to theory, practice and policy: The study provided evidence of an urgent need for strategic interventions towards improving the production system through on-farm researcher-led demonstrations for superior rice varieties, agronomic practices as well as an input subsidy and sustainable market linkages. Formation of farmer producer groups and strategic facilitation of the groups with rice certified seed and mills are proposed as positive drivers to improving rice marketing and increased productivity.

Apple flavor and its effects on sensory characteristics and consumer preference

AbstractThe focus within the apple industry is to identify varieties most preferred by consumers. To help with this, it is necessary to emphasize the discovery of flavor perceptions responsible for consumer preference in apples. The present study aimed to determine which flavor attributes are associated with different apple varieties, determine which apple varieties consumers prefer, and to determine which flavor attributes are contributing to consumer preference. Over two subsequent years, a trained sensory panel (n = 10, n = 15) evaluated 27 and 28 varieties, respectively. Intensity ratings of taste, flavor, and texture characteristics for each apple variety were recorded. This data was paired with an untrained consumer hedonic evaluation (n = 226) using a subset of apple varieties (n = 16). Results revealed that two large groups of apple consumers exist. Group 1 (29%) emphasized the importance of texture, while Group 2 (49%) was primarily driven by sweet taste, and honey and floral flavors with less focus on texture.Practical ApplicationsThe results of this research provide insight into the positive and negative preference drivers of apple consumers. By understanding flavors associated with consumer preference, the information can be used as a tool to aid breeding programs in the creation of consumer‐centric apples that will be commercialized. Additionally, through the creation of an external preference map, a point‐of‐reference has been created to serve as a predictor for upcoming apple varieties to the Ontario apple industry.

What Motivates Consumer Food Safety Perceptions and Beliefs? A Scoping Review in BRICS Countries.

This scoping review aimed to map the main evidence in the existing literature regarding consumer perceptions and beliefs regarding food safety in the context of BRICS (Brazil, Russia, India, China, and South Africa) countries. Articles were searched in the Web of Science, Scopus, and SciELO databases. The last search was performed on November 2021. Only the studies conducted within BRICS countries were included. The synthesis aimed to group similarities in consumer beliefs and perceptions of food safety. After screening, 74 eligible articles were included in the study. Of the 74 studies analyzed, 49 (66.2%) were carried out in China, 14 (18.9%) in Brazil, 5 (6.8%) in India,4 (5.4%) in South Africa, and 2 (2.7%) in Russia. Thirty-three motivators of perceptions and beliefs regarding food safety were identified. Food safety motivators were grouped into three categories: (1) sociodemographic characteristics, (2) cognitive aspects, and (3) other. In the “sociodemographic characteristics” category, the motivator with the highest number of corresponding results was education level (results = 22), followed by income (results = 22), both positive drivers for food safety perceptions. The “cognitive aspects” category comprised the majority of the identified motivators. Concern for food safety (results = 32) and risk perception (results = 30) were the motivators with the highest number of results among all categories and motivators. Finally, the main motivator in the “other” category was place of consumption/purchase (results = 8), focusing on consumers underestimating the risk of having a foodborne disease when eating away from home. China and Brazil are leading the way in studies on this topic. Consumers’ perceptions are influenced by socioeconomic characteristics (e.g., age, gender, education level, income), cognitive aspects (e.g., knowledge, risk perception, food concerns, previous experience with food safety incidents) and other situational factors (e.g., price, place of purchase, traceability).

The incidence of psychoactive substances and alcohol among impaired drivers in Denmark in 2015–2019.

This study examines the presence of psychoactive drugs and alcohol in blood from apprehended drivers driving under the influence of drugs (DUID) and alcohol in Denmark in a five-year period from 2015 to 2019.Data were analysed with respect to gender, age, substances with concentrations above the Danish legal limit, arresting time of day and repeat arrest. By request of the police, the blood samples were subjected to analysis for alcohol and/or tetrahydrocannabinol (THC) alone, for “other drugs” (covering all drugs including new psychoactive substances (NPS), except THC, listed in the Danish list of narcotic drugs) or for both THC and other drugs.About the same number of alcohol traffic cases (37,960) and drug traffic cases (37,818) were submitted for analysis for the five-year period. The number of drug traffic cases per year increased from 5660 cases in 2015 to 9505 cases in 2019, while the number of alcohol traffic cases per year (average, 7600) was unchanged.Ethanol (89.2%) was the overall most frequent single substance, followed by THC (68.2%). CNS stimulants (46.8%) were the second most prevalent group of non-alcoholic drugs. Cocaine (23.8%) and amphetamine (22.9%) were the most frequent CNS stimulants. The proportion of CNS-stimulant positive drivers more than doubled in ten years. Benzodiazepines/z-hypnotics (12.7%) were the third most prevalent drug group detected, with clonazepam (8%) as the most frequent drug. Opioids were above the legal limit in 9.8% of the cases. NPS was above the legal limit in 128 cases (0.6%). Poly-drug use occurred in 40% of the DUID cases in the requested groups: other drug or other drug/THC.Young males dominated the DUID cases (median age 26). Drink-drivers (median age 39) were also mainly men, but the age distribution was equally spread over the age groups.Re-arrest occurred more often in DUID drivers (18–29%) than in drinking drivers (6–12%). DUID was evenly spread over the week, while drink-driving was most frequent on weekends.This study is an important supplement to the knowledge of drug use in Denmark. It was the well-known psychoactive substances that were detected. Only a few NPS occurred. However, the abuse pattern has changed, and CNS stimulants now account for a much higher proportion than earlier. Our results indicate a drug use problem among DUID drivers. This gives rise to concern because of a risk of traffic accidents. Treating the underlying abuse problem is therefore recommended, rather than focusing solely on prosecuting.

Effect of processing technology on chemical, sensory, and consumers' hedonic rating of seven olive oil varieties.

This study established physicochemical and sensory characteristics of virgin olive oils (VOOs) and linked them to consumers’ liking using external preference mapping. We used five Tunisian and two foreign VOO varieties produced by two processing systems: discontinuous (sp) and continuous three‐phase decanter (3p). The samples were analyzed and evaluated by a panel of 274 consumers. The external preference mapping revealed five VOO clusters with a consumer preference scores rating from 40% to 65%. Consumers highly appreciated the foreign Coratina cultivar's olive oil; the main drivers being richness in polyphenols (markers of bitterness and pungency), mainly the oleuropein aglycone, and volatile compounds (markers of green fruity, green leaves, green apple, cut grassy almond, and bitterness), particularly the trans‐2‐hexenol. The Tunisian Chemlali (3p) oil was second highly preferred (scoring 55%). The positive drivers for olive oil preference (a profile of almond fruity green and low bitterness and pungency) are the richness in hexanal compounds. Arbequina (sp and 3p) and Chemlali (sp) were the least appreciated due to the fact that Arbequina VOO is not in the tradition of Tunisian consumers, whereas Chemchali VOO is a minor variety representing only 2% of olive oil production in Tunisia and consumed mostly in blends. The differentiation between the two processing systems depends on the variety of cultivar; consumers are able to identify the two processing system in the case of Chetoui, Leguim, and Chemchali.

Spatiotemporal carbon emissions across the spectrum of Chinese cities: Insights from socioeconomic characteristics and ecological capacity

In-depth investigation of the spatiotemporal driver patterns of city carbon emissions is vital toward establishing carbon neutrality, as such knowledge would aid policymakers in formulating differentiated emission reduction policies. Through developing a unique carbon emission dataset and applying a spatiotemporal logarithmic mean Divisia index decomposition approach, we explored the spatiotemporal drivers of CO2 emission for diverse cities in China categorized by economic structure and population size during 2002–2018. The results highlighted GDP per capita and industrial structure as the most positive and negative drivers, respectively, with the former overweighing the latter before 2016. Furthermore, the between-group differences of cities categorized using population size were higher than differences within groups, implying evident heterogeneity of carbon emissions. Emission related to within-differences in net primary productivity (NPP) constitutes the largest contributing factor promoting carbon emission in megacities and highly industrialized cities, whereas NPP between-differences in agricultural carbon intensity are predominantly associated with inhibiting emissions in large and highly commercialized cities. We therefore suggest that policymakers should optimize the industrial structure in highly industrialized cities and develop carbon sequestration in cities with high vegetation coverage through fiscal transfer for achieving carbon neutrality.

Towards sustainable development: Distribution effect of carbon-food nexus in Chinese cities

Climate change mitigation and food security are sustainable development goals (SDGs) of the United Nations. Despite extensive studies focused on the nexus of different SDGs and corresponding mechanisms, the distribution effect of carbon-food nexus and its driver has received limited attention, hindering policy making for balancing pathways of regional emission reduction and food production improvement. The present study explored the distribution effect (i.e., spatial performance) of carbon-food nexus from multiple perspectives (namely, status quo, drivers, and trend) based on a unique city-level dataset from 2005 to 2017. To this end, we proposed the spatial decoupling index, the corresponding decomposition and nonparametric models for capturing the multi-perspective distribution effects. The results indicated that Chinese cities, categorized by population scale and economic structure, exhibited varying degrees of distributions of carbon-food nexus over the period. Moreover, the driver pattern of carbon-food nexus was noted to have changed, wherein investment efficiency and scale were positive drivers. Furthermore, we showed that a more developed city’s economy was statistically significantly associated with higher carbon emission and lower food production. Therefore, related stakeholders should take more actions such as strengthening capital accumulation and joint management of carbon intensity, for improving the distribution effect of the overall city-level carbon-food nexus.

Mapping out market drivers of improved variety seed use: the case of sorghum in Tanzania

It is understood that the grain market pulls the seed market. The problem of low quality prompted failure of traders and processors to purchase most of the farmers' grain to subsequently drive the use of improved variety seed. The aim of this study is to identify drivers that persuade farmers to use improved variety seeds for grain production. It also assesses factors affecting market participation among small-scale farmers. Descriptive analysis, Binary Logistic model, Probit model and gross margin analysis was conducted from random selected sample of 212 individual farmers, 63 grain off-takers, 3 extension officers and 7 seeds producers through structured interviews. In additional, 80 farmers were interviewed through 10 focus group discussion. The results showed that taste, preferences and price difference between grain and seed were significant and positive drivers that influenced the decision of farmers to use improved varieties at 47% and 0.007%, respectively. Factors such as group membership and farm size were significantly positive affecting farmer's market participation while age was negatively significant affecting farmer's market participation. Gross margin was computed to compare the profit margin between users and non-users of improved variety seeds, where users had high profit margin (530 979.89Tsh/Ha) compared to non-users (472 885.94Tsh/Ha), because non-users incurred high seed cost (54 504.84Tsh/15kg) compared to users of improved variety seeds (39 329.94Tsh/kg). Also, users obtained high grain revenue compared to non-user at 1 353 268.37Tsh and 848 249.11Tsh, respectively. Efforts should be made by value chain actors and other agricultural actors to support farmers based on market demand so they could benefit from high grain quality, quantity and promising grain market.