A possible accession into the World Trade Organization (WTO) and an expected membership in the European Union raise significant opportunities and challenges for...

Determinants of vegetable production input efficiency affect a Kosovar farmer’s decision to contribute to the agricultural sector. This study evaluates the input efficiency of greenhouse tomato and pepper farms in Kosovo. Using data collected from farm surveys, we conducted an input-oriented data envelopment analysis (DEA) to empirically assess input efficiency. Second, linear regression analysis was used to investigate what farm variables predict greenhouse tomato and pepper technical efficiency (TE). The DEA results indicated that, among the seven regions in Kosovo, Prizren emerged as the most efficient greenhouse tomato-producing region with a mean efficiency of 0.83 (on a scale of 0 to 1.00). Prishtina followed with a mean efficiency of 0.80. In the production of greenhouse peppers, Prishtina was the most efficient region with a mean efficiency of 0.99. Ferizaj followed with a mean efficiency of 0.93. Conclusions about farm characteristics that explain differences in efficiency were sensitive to model specification. Nevertheless, depending on the structural and operational characteristics of the greenhouse tomato and pepper farms, there is an opportunity for the technically inefficient farms and regions to improve their use of inputs.

This study evaluates the input efficiency of greenhouse tomato and pepper farms in Kosovo. Using data collected from farm surveys, we conduct an input-oriented data envelopment analysis (DEA) to empirically assess input efficiency. Secondly, linear regression analysis is used to investigate which farm variables predict greenhouse tomato and pepper technical efficiency (TE). The DEA results indicated that among the seven regions in Kosovo, Prizren emerged as the most efficient greenhouse tomato producing region with a mean efficiency of 0.83 (on a scale of 0 to 1). Prishtina followed with a mean efficiency of 0.80. In the production of greenhouse peppers, Prishtina was the most efficient region with a mean efficiency of 0.99. Ferizaj followed with a mean efficiency of 0.93. Conclusions about farm characteristics that explain differences in efficiency were sensitive to model specification. Nevertheless, depending on the structural and operational characteristics of the greenhouse tomato and pepper farms, there is an opportunity for the technically inefficient farms and regions to improve their use of inputs.

The medicinal and aromatic plants sector is considered a very important sector for the economy of Kosovo since it can provide employment, income, and export growth. Based on this, we assess the impact of the subsidy schemes from the Ministry of Agriculture, Forestry, and Rural Development (MAFRD) using a propensity score matching improving the farmers' gross income. The main purpose of the study was to assess whether subsidy schemes have an impact on the farmer's gross income by using a propensity score matching model to match beneficiaries to non beneficiaries. Results showed that beneficiaries of subsidy schemes make 3,682.09 Euros more per year than non-beneficiaries (95% confidence interval 2,349.9 Euros to 5,012.90 Euros). Using logistic regression, we found that subsidy schemes, market prices, and reductions of unfair competition are the three most important factors affecting farmers' decisions to collect and cultivate MAPs.

Genetic matching with an evolutionary algorithm was applied to evaluate the impact of the Ministry of Agriculture, Forestry and Rural Development (MAFRD) grant programs to support greenhouse vegetable production in Kosovo. The primary contribution of the paper is to assess whether grants have an impact on the farmers’ gross seasonal revenue after matching similar grantees to non-grantees. The findings showed that greenhouse tomato grantees make 2,151.80 euros more per growing season in comparison to the non-grantees (95 % confidence interval -324.71 to 4,628.31 euros). Similarly, greenhouse pepper grantees make 2,866.69 euros more per growing season compared to non-grantees (95 % confidence interval 446.42 to 5,286.96 euros). The study identified farmers’ education and region as important matching variables which may be of interest to policy researchers in Kosovo.

Although Kosovo's agriculture initiatives have allowed for opportunities to spur vegetable production, little has been done to address how efficient are farmers at using inputs. The state of input efficiency in growing potatoes is examined in the study using farm survey data. There is also a comparison of potato yields as a measure of productivity with different countries in Southeast Europe and with some emphasis on input use. After accounting for suspected bias with the bootstrap input-oriented model, input efficiency ranged from 0.39-0.91 with an average of 0.73. Depending on the farm, a naive model would induce a bias of 0.04-0.17 in input efficiency use. This bias can vary with sample size. Additionally, the findings suggest an encouraging input efficiency advantage for farmers who care about their soil quality as they practice potato production. One policy implication of the results suggests further input use decreases because the sampled farms are found to operate under decreasing returns to scale.