Political crimes such as political killings, rigging, political violence, imposition of candidates, ballot box snatching, thuggery, kidnapping among others have become hard knots to crack in Nigerian polity today. Leaders are being forced on the masses daily and even on members of political parties by godfathers that have taken over the party machineries perpetrating all kinds of criminality. The study is an attempt to sociologically appraise social problem of political crime in Benue State among political actors. Conflict theory is used as a theoretical model for the study which the study utilizes secondary sources of data while data was descriptively analyzed using mean, variance, standard deviation with the aid of tables and charts. Findings suggest political crimes exist in Benue State with attendant socio-economic consequences and required aggressive efforts of the criminal justice system and security agents to tackle.
This study assessed the awareness and impact of climate change by smallholder maize farmers in Gombe state. Both primary and secondary sources of data were used. List of registered farmers was obtained from Gombe State Agricultural Development Programe (GSADP).The primary data were collected through the use of interview schedules. Descriptive statistics were used for the analysis. The result reveals that Most 43.2% of the respondent were between ages 40-49, 87.5% were male, 84.3% were married, 65.7% had 30-35 years of farming experience and only 38.8% belong to farmers association. Majority 85.6 % of the farmers were fully aware about the changing climate and 57.3% of the farmers obtained their information about climate change through radio because it is the most available and reliable means of communication to the farmers and length of farming experience influenced awareness of changing climate. About 62.9% of the respondent reported that decrease in rainfall reduce crop yield, 59.4% said increase in temperature damage their crops and 50% said increase in wind speed breaks their plants. The impact observed on farm were flood, soil erosion, prolonged dry spell and reduced crop yield were rated high based on likert scale. The study recommends that extension works and community groups should enlighten the farmers on the impact of changing climate and farmers are advised to come up with early warning system on how to cope with the changing climate.
In recent years e-commerce has found its way in agricultural sector in India, in line with other sectors, agricultural businesses have taken up e-marketing, or internet marketing. For implementation of agricultural marketing policy to bring an efficiency and transparency in the agricultural marketing system for efficient price discovery to benefit farmers, the initiation was taken by Government of Karnataka and the NCDEX Spot Exchange Limited in this direction.Unified Marketing Platform (UMP) an initiative by the state govt. launched in 2014 by the Rashtriya e-Market Services (ReMs). The present study attempts to assess the benefits and perception of farmers in online marketing of dry chilli in Hubballi and Byadgi regulated markets, about 60 online dry chilli farmers and 60 traditional farmers were selected. The descriptive statistics used to analyze the data. Total returns obtained by traditional farmers with Rs.30,585/acre and comparatively less than online farmers was Rs.34,525/acre. Percentage price of commodities across marketsin online marketing was more than traditional marketing price. In online marketing the infrastructures like lot entry, adequacy and time price information, wider market area, better price and SMS alert were adequate, gate entry, storage, computers, e-payment were partially adequate. Grading and cold storage were inadequate. Maximum number of traditional farmers preferred progressive farmers for market information followed by friends as source of information. Online farmers were used mobile phone as major source of information followed by newspaper. Majority of online farmers were involved in grading and got SMS registration, got remunerative price. Very few of traditional farmers had knowledge about banking, SMS registration and grading. Infrastructure for post-harvest management needs to be strengthening primary level on public-private partnership mode. There is need to create awareness about online marketing through training, campaigns and other extension activities to farmers.
The study evaluated the impact of the national recurrent expenditure on Nigeria’s agricultural growth from 1990 to 2017.The study adopted ex-post-factor research design. Time series data obtained from the Central Bank of Nigeria publications, journals, bulletins and proceedings were used for the study. The data were analysed using percentage, mean ratio and error correction model regression analysis. The result showed that the mean ratio between recurrent expenditure on agriculture to other sectors of the economy is 0.070:0.930 respectively. The result of unit root test showed that the natural log function of agricultural share of GDP and it determinants were stationary at a mixed order of co-integration while the lag length is one (1). The error correction model regression analysis showed the R2value was 0.999998, indicating that 99% changes in the agricultural share of the GDP was accounted or explained by the explanatory variables. The Durbin-Watson statistics value of 1.096920 indicates absent of autocorrelation. Wald test result showed that the F-statistics (23.126) was greater than the F-tabulated (4.32) at p-value < 5%, this implies that the recurrent expenditure on agriculture has a significant impact on the agricultural share of GDP from 1990 to 2017. Therefore, the study recommended that greater percentage of the recurrent expenditure should be allocated to agriculture so as to accelerate agricultural development in Nigeria.
The present study aimed to study the price and arrival of cotton i.e. growth, seasonal variation and volatility among the selected cotton markets in Haryana. The monthly data on prices and arrivals of cotton were collected for the period from 2005-06 to 2016-17. Compound growth rate, Moving average method and Coefficient of Variation measure were used in the study. The results showed a considerable increase in cotton prices for the selected markets, whereas arrivals growth were found to be positive but non-significant in all the markets except Uklana and Fatehabad markets having negative growth due to shift in cropping pattern. Seasonal analysis results showed that the cotton arrivals in the selected markets were higher in the months of October to January (Peak period) and lower in the months of February to May (Lean period). The intra year prices in selected cotton markets during the study period remained almost stable with less than 10 per cent of variation, whereas for the overall period the Coefficient of Variation ranged from 28.50 to 30.88 per cent in the selected cotton markets indicating presence of not much higher volatility during the study period. The increased volatility can be addressed through stock management and by employing risk management strategies like crop insurance, future markets etc.