Discussion: Exchange Rates, Energy Policy and Outcomes in Agricultural Markets

2009 ◽  
Vol 41 (2) ◽  
pp. 529-530
Author(s):  
C. Parr Rosson
Keyword(s):  
Exchange Rates ◽  
Commodity Prices ◽  
Farm Income ◽  
Policy Makers ◽  
World Agriculture ◽  
On Farm ◽  
The Impact ◽  
Input Prices ◽  
Macroeconomic Environment ◽  
High Output

These three invited papers examine the role that exchange rates may have in influencing commodity prices, input prices and farm income. The papers arguably represent one of the most important recent attempts to quantify and explain these new linkages. As U.S. and world agriculture moves from a period of high output prices to a period of lower prices, understanding the impact of macroeconomic variables on farm input costs and farm income will become more important. Further, it will be equally important for policy makers to undertake appropriate market interventions in order to have maximum effectiveness should this period of cost-price-squeeze continue to intensify. Each of the papers has something significant to contribute to the understanding and debate of these new linkages between agriculture, the macroeconomic environment, and the energy sector.

scholarly journals Un modèle de projection des prix utilisant les relations intersectorielles de l’économie canadienne

2009 ◽  
Vol 51 (1) ◽  
pp. 71-85
Author(s):  
R. Rioux
Keyword(s):  
Commodity Prices ◽  
Price Formation ◽  
Input Output ◽  
Price Model ◽  
Primary Input ◽  
Time Period ◽  
Statistics Canada ◽  
The Impact ◽  
Push Model ◽  
Input Prices

This paper describes a simple cost-push price model which has been developed at the Structural Analysis Division of Statistics Canada. This price model is a traditional input/output cost-push model which has been adapted to utilize the rectangular industry by commodity input/output tables for Canada. It can be considered as the "dual" of the output model. Instead of analysing the propagation of demand through the economic system, the price model serves to analyse the propagation of factor prices throughout the system. The purpose of such a price formation model is to determine the impact on industry selling prices and domestic commodity prices arising from a change in impart commodity prices and primary input prices. This price model is of a static type; it accepts no substitutions and its structure is quite rigid. It is considered as being an annual model although it can be used for a different time period. This model is fully operational and is widely used by many government and private agencies.

scholarly journals Farmers’ Participation in Agritourism: Does It Affect the Bottom Line?

2013 ◽  
Vol 42 (3) ◽  
pp. 471-490 ◽  
Author(s):  
Hyunjeong Joo ◽  
Aditya R. Khanal ◽  
Ashok K. Mishra
Keyword(s):  
Well Being ◽  
Farm Income ◽  
Small Scale ◽  
Bottom Line ◽  
Alternative Source ◽  
Large Farm ◽  
Household Incomes ◽  
On Farm ◽  
The Impact ◽  
Economic Well Being

Agritourism is an alternative source of farm income. We examine farmers’ participation in agritourism activities to assess the impact of participation on farm household income and return to assets using a large farm-level survey. The results reveal that older, educated, and female operators are more likely to participate in agritourism. However, government subsidies and the population of the county are negatively correlated with agritourism. Of the types of farm operations examined, small-scale farms that involved agritourism generated the greatest household incomes and returns to assets. For operators of small farms, agritourism can boost the economic well-being of farm households.

A Behavioural Explanation of Smallholder Entrepreneurship with Empirical Evidence from KwaZulu-Natal, South Africa

2021 ◽  
Author(s):  
Fortunate Nosisa Zaca ◽  
Edilegnaw Wale ◽  
Unity Chipfupa
Keyword(s):  
Psychological Capital ◽  
Positive Impact ◽  
Smallholder Farmers ◽  
Farm Income ◽  
Tobit Regression ◽  
Entrepreneurial Spirit ◽  
Kwazulu Natal ◽  
Social Grant ◽  
On Farm ◽  
The Impact

Abstract This study aimed to investigate the impact of social grant dependence on on-farm entrepreneurial spirit of smallholders. A sample of 175 farmers was obtained from two communities in KwaZulu-Natal. The study employed Principal Components Analysis and Tobit regression. The entrepreneurial spirit indices were constructed from revealed preference-based questions. The study found a positive relationship between the social grant and on-farm entrepreneurial spirit. The positive impact on rural household farming activities implies that the prevailing low entrepreneurial levels among farmers are not the result of social grant dependence but lack of opportunity and other resource constraints. However, to remain effective, policy should ensure that the grant money benefits (directly/indirectly) the intended beneficiary and their households. The other factors found to be associated with on-farm entrepreneurship include age of the farmer, gender, psychological capital, access to training, access to education, access to land, inadequate farming assets, water insecurity, extension, off-farm income and group membership. The study also recommends the need for strategies that improve psychological capital and thus enhance positive on-farm entrepreneurial behaviour among smallholder farmers. Addressing institutional and farming constraints related to access to resources and services (land, credit, extension, and water) and collective action will positively contribute to on-farm entrepreneurship.

scholarly journals Recent Cost Increases: Their Future Impacts on Agriculture

1975 ◽  
Vol 7 (1) ◽  
pp. 71-79
Author(s):  
Wayne A. Boutwell ◽  
Thomas W. Little
Keyword(s):  
Agricultural Production ◽  
Agricultural Sector ◽  
Price Level ◽  
Capital Requirements ◽  
Farm Income ◽  
Agricultural Commodities ◽  
Domestic Prices ◽  
The Cost ◽  
The Impact ◽  
Input Prices

The impact of rapidly escalating input prices of farm income, agricultural production, production adjustments, the general price level, the cost of living and capital requirements in the agricultural sector is a source of increasing concern to farmers, suppliers of capital to agriculture, and consumers of agricultural products. Record prices for agricultural commodities, such as feed grains and soybeans, partially masked the effects of a 52 percent increase in the index of prices paid for production items on net farm income during the period 1971–74. As agricultural machinery and farm buildings are replaced, world stocks of agricultural commodities are replenished, and domestic prices begin to decline, the magnitude of these cost increases will become more apparent.

The impact of cooperatives’ transportation services on farm income: Evidence from tobacco farmers in Guizhou, China

Agribusiness ◽  
2019 ◽  
Vol 36 (1) ◽  
pp. 146-158
Author(s):  
Junying Lin ◽  
Zhonggen Zhang ◽  
Ziming Liu ◽  
Jens Rommel
Keyword(s):  
Farm Income ◽  
Transportation Services ◽  
On Farm ◽  
The Impact

scholarly journals The Effect of the Comprehensive Rural Village Development Program on Farm Income in South Korea

2020 ◽  
Vol 12 (17) ◽  
pp. 6877
Author(s):  
Eunji Choi ◽  
Jonghoon Park ◽  
Seongwoo Lee
Keyword(s):  
Rural Development ◽  
South Korea ◽  
Positive Impact ◽  
Rural Households ◽  
Development Program ◽  
Farm Income ◽  
Rural Village ◽  
Ex Post ◽  
On Farm ◽  
The Impact

Faced with an aging and declining population, many governments around the world endeavor to revitalize their rural communities in a sustainable manner. In South Korea, the Comprehensive Rural Village Development Program (CRVDP) was carried out from 2004 to 2013 as a key strategy to reinvigorate rural areas. This study aims to conduct an ex-post quantitative evaluation of the effectiveness of the CRVDP in boosting rural households’ farm income. In doing so, the present study adopts quasi-experimental research design that is seldom utilized in assessing rural policies. As an alternative evaluation tool with flexibility for using readily available data, the study employed the combined application of the Heckman selection model and the Blinder–Oaxaca decomposition method. The study revealed a significant positive impact of the Program on farm income of rural households in the program-supported areas from both cross-sectional and longitudinal perspectives. A robust causal estimation of the impact of this bottom-up, multi-sectoral rural development program on farm income is achieved, which can be leveraged to widely promote similar type of rural development approach.

scholarly journals Off-farm role in stabilizing disposable farm income: A Lithuanian case study

2020 ◽  
Vol 66 (No. 7) ◽  
pp. 325-334
Author(s):  
Vida Dabkienė
Keyword(s):  
Reference Level ◽  
Farm Income ◽  
Family Farms ◽  
Income Volatility ◽  
Income Source ◽  
Policy Makers ◽  
Family Farmers ◽  
Farm Accountancy Data Network ◽  
Part Time ◽  
On Farm

The paper aims to investigate family farm income volatility by decomposing disposable farm income (DFI) into the on-farm income, income from production support and off-farm income (OFI) over time. The research is focused on the OFI, assessing its role in achieving DFI above reference level based on the average net earnings. Three main indicators consistent with Farm Accountancy Data Network (FADN) were indicated. The research results revealed the significance of OFI. In 2017, 76% of the family farms were engaged in off-farm activities indicating, on one hand that such approaches as part-time farming or lifestyle farming are becoming more attractive to Lithuanian family farmers. On the other hand, research disclosed that farms mostly engaged in off-farm activities yield the lowest on-farm income levels. Moreover, the OFI tends to produce a stabilizing effect on quite a number of farmers as the majority of family farms cannot rely upon the on-farm income as their only income source. Thus, the agricultural and rural development policy makers, aimed at supporting viable farm income and strengthening farm resilience, have to answer the part-time farmers’ needs.

scholarly journals Global vs Sectoral Factors and the Impact of the Financialization in Commodity Price Changes

2020 ◽  
Vol 31 (4) ◽  
pp. 859-879
Author(s):  
Pilar Poncela ◽  
Eva Senra ◽  
Lya Paola Sierra
Keyword(s):  
Developing Economies ◽  
Commodity Prices ◽  
Commodity Price ◽  
Commodity Markets ◽  
Small Scale ◽  
Policy Makers ◽  
Economic Agents ◽  
Short Run ◽  
The Impact ◽  
Predictive Content

Abstract Commodity prices influence price levels of a broad range of goods and, in the case of some developing economies, production and export activity. Therefore, information about future commodity inflation is useful for central banks, forward-looking policy-makers, and economic agents whose decisions depend on their expectations about it. After 2004, we have witnessed the so-called financialization of the commodity markets, which might induce greater communalities among commodity prices. This paper reports evidence on the relevance of the forecasting content of co-movement after 2004. With the use of large and small scale factor models we find that for the short run, in addition to dynamics, sectoral communality has relevant predictive content. For 12 months ahead, dynamics lose relevance while communality remains relevant.

scholarly journals The Impact Of Sales Changes On Agribusiness Payrolls

1993 ◽  
Vol 25 (1) ◽  
pp. 228-236
Author(s):  
Lewell F. Gunter ◽  
James O. Wise
Keyword(s):  
Exchange Rates ◽  
Market Risk ◽  
Econometric Analysis ◽  
Farm Production ◽  
Type Size ◽  
Part Time ◽  
Firm Type ◽  
Production Output ◽  
The Impact ◽  
Input Prices

AbstractAgribusiness firms face substantial market risk associated with variations in farm production, output and input prices, exchange rates, and other factors. Some of the risk faced by agribusiness is passed through to the employees of the firm and to the communities where the firms are located, as employment levels are changed in response to these variations. An econometric analysis of the transmission of sales changes into payroll changes was performed for a sample of Georgia agribusiness firms. Transmission elasticities were found to be affected by firm type, size, age, and by the degree of use of part-time employees.

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