Clarifying the necessary conditions for the emergence of payments for ecosystem services (PES) and the situational variables that affect PES is the basis for their interpretation, prediction, and selection. This artic...Clarifying the necessary conditions for the emergence of payments for ecosystem services (PES) and the situational variables that affect PES is the basis for their interpretation, prediction, and selection. This article proposes an analytical framework for the emergence of PES and argues that the key to determining whether PES can occur and whether a selected PES program is appropriate is to evaluate the net gain. When payers anticipate that a PES program will provide a satisfactory number of ES and a net gain over the opportunity cost and will cover all costs, it is assumed that the program will be implemented. When it is difficult to accurately evaluate the net gain of PES, the situational variables that affect the costs and benefits need to be examined. The group characteristics, ES characteristics, spatial and temporal contacts between the suppliers and demanders, correlation with private goods and additionality are important situational variables that affect the emergence and choice of PES.展开更多
The aim of this study was to analyse the rate and content of 10,430 messages,sent by 21 handball coaches in 21 matches,in relation to score and match phase.Three situations were defined as regards score:large victory,...The aim of this study was to analyse the rate and content of 10,430 messages,sent by 21 handball coaches in 21 matches,in relation to score and match phase.Three situations were defined as regards score:large victory,tight game,and large defeat;and four phases for match phase:part 1 and 2 of first half,and part 1 and 2 of second half.Message rates were calculated by dividing the number of messages sent at each level of score and match phase by the elapsed time.To calculate the content,messages were coded using Coach Analysis and Intervention System and percentages were calculated according to score and match phase.Chi-square analysis showed statistically significant differences for rate of messages by score(χ^(2)=211.06,df=2,sig<0.001),and match phase(χ^(2)=23.704,df=3;sig<0.001);and for percentage of content by score(χ^(2)=444.011,df=42,sig<0.001)and match phase(χ^(2)=201.706,df=63,sig<0.001).Results can help to establish guidelines to increase the quality of coaches’speech.展开更多
文摘Clarifying the necessary conditions for the emergence of payments for ecosystem services (PES) and the situational variables that affect PES is the basis for their interpretation, prediction, and selection. This article proposes an analytical framework for the emergence of PES and argues that the key to determining whether PES can occur and whether a selected PES program is appropriate is to evaluate the net gain. When payers anticipate that a PES program will provide a satisfactory number of ES and a net gain over the opportunity cost and will cover all costs, it is assumed that the program will be implemented. When it is difficult to accurately evaluate the net gain of PES, the situational variables that affect the costs and benefits need to be examined. The group characteristics, ES characteristics, spatial and temporal contacts between the suppliers and demanders, correlation with private goods and additionality are important situational variables that affect the emergence and choice of PES.
基金This investigation was supported by the Ministry of Education and Science of Spain(DEP2009-10253)FPU Program of the Ministry of Education,Culture and Sports(FPU12/05606).
文摘The aim of this study was to analyse the rate and content of 10,430 messages,sent by 21 handball coaches in 21 matches,in relation to score and match phase.Three situations were defined as regards score:large victory,tight game,and large defeat;and four phases for match phase:part 1 and 2 of first half,and part 1 and 2 of second half.Message rates were calculated by dividing the number of messages sent at each level of score and match phase by the elapsed time.To calculate the content,messages were coded using Coach Analysis and Intervention System and percentages were calculated according to score and match phase.Chi-square analysis showed statistically significant differences for rate of messages by score(χ^(2)=211.06,df=2,sig<0.001),and match phase(χ^(2)=23.704,df=3;sig<0.001);and for percentage of content by score(χ^(2)=444.011,df=42,sig<0.001)and match phase(χ^(2)=201.706,df=63,sig<0.001).Results can help to establish guidelines to increase the quality of coaches’speech.
