Chairman Bi Jingquan,President Clark,Dear Friends,Good afternoon.It is a great pleasure to join you at the 15th U.S.-China CEO and Former Senior Officials'Dialogue.As we mark the 45th anniversary of our diplomatic...Chairman Bi Jingquan,President Clark,Dear Friends,Good afternoon.It is a great pleasure to join you at the 15th U.S.-China CEO and Former Senior Officials'Dialogue.As we mark the 45th anniversary of our diplomatic relations and the U.S.presidential election has drawn to an end,this dialogue could not have come at a better time.All the friends here are active participants in,contributors to and important stakeholders in the China-U.S.relationship.Thank you all for your long-time contribution!展开更多
The Honorable Under Secretary Marisa Lago,Chairman Rajesh Subramaniam,President Craig Allen,Incoming President Sean Stein,Ladies and gentlemen.Dear friends,Good evening!First,I have the honor to read the congratulator...The Honorable Under Secretary Marisa Lago,Chairman Rajesh Subramaniam,President Craig Allen,Incoming President Sean Stein,Ladies and gentlemen.Dear friends,Good evening!First,I have the honor to read the congratulatory letter from H.E.Xi Jinping,President of the People's Republic of China,to Gala 2024 of the U.S.-China Business Council.展开更多
Since the United Nations launched the Sustainable Development Goals(SDGs)in 2015,global implementation has steadily advanced,yet prominent challenges persist.Progress has been uneven across regions and countries,with ...Since the United Nations launched the Sustainable Development Goals(SDGs)in 2015,global implementation has steadily advanced,yet prominent challenges persist.Progress has been uneven across regions and countries,with Tajikistan representing a typical example of such disparities.Based on 81 SDG indicators for Tajikistan from 2001 to 2023,this study applied a three-level coupling network framework:at the microscale,it identified synergies and trade-offs between indicators;at the mesoscale,it examined the strength and direction of linkages within four SDG-related components(society,finance,governance,and environment);and at the global level,it focused on the overall SDG interlinkages.Spearman’s rank correlation,sliding window method,and topological properties were employed to analyze the coupling dynamics of SDGs.Results showed that over 70.00%of associations in the global SDG network were of medium-to-low intensity,alongside extremely strong ones(|r|value approached 1.00,where r is the correlation coefficient).SDG interactions were generally limited,with stable local synergy clusters in core livelihood sectors.Network modularity fluctuated,reflecting a cycle of differentiation,integration,and fragmentation,while coupling efficiency varied with the external environment.Each component exhibited distinct functional characteristics.The social component maintained high connectivity through the“poverty alleviation-education-healthcare”loop.The environmental component shifted toward coordinated eco-economic governance.The governance-related component broke interdepartmental barriers,while the financial component showed weak links between resource-based indicators and consumption/employment indicators.Tajikistan’s SDG coupling evolved through three phases:survival-oriented(2001–2012),policy integration(2013–2018),and shock adaptation(2019–2023).These phases were driven by policy changes,resource industries,governance optimization,and external factors.This study enriches the analytical framework for understanding the dynamic coupling of SDGs in mountainous resource-dependent countries and provides empirical evidence to support similar countries in formulating phase-specific SDG promotion strategies.展开更多
"The end,"wrote the poet T.S.Eliot,“is where we start from.”As I leave the United States this week to start a new journey,memorable scenes from my time in this country keep flashing back in my mind.I visit..."The end,"wrote the poet T.S.Eliot,“is where we start from.”As I leave the United States this week to start a new journey,memorable scenes from my time in this country keep flashing back in my mind.I visited 22 states and discovered a country different from what I know in Washington,D.C.In the spring,I visited the Kimberley Farm in Iowa,which President Xi Jinping visited in 2012.I tried my hand at driving a John Deere tractor and tasted the local produce.In the fall,I visited a corn and soybean farm in Missouri and was deeplymoved bymy hosts'sincerity and hospitality。展开更多
文摘Chairman Bi Jingquan,President Clark,Dear Friends,Good afternoon.It is a great pleasure to join you at the 15th U.S.-China CEO and Former Senior Officials'Dialogue.As we mark the 45th anniversary of our diplomatic relations and the U.S.presidential election has drawn to an end,this dialogue could not have come at a better time.All the friends here are active participants in,contributors to and important stakeholders in the China-U.S.relationship.Thank you all for your long-time contribution!
文摘The Honorable Under Secretary Marisa Lago,Chairman Rajesh Subramaniam,President Craig Allen,Incoming President Sean Stein,Ladies and gentlemen.Dear friends,Good evening!First,I have the honor to read the congratulatory letter from H.E.Xi Jinping,President of the People's Republic of China,to Gala 2024 of the U.S.-China Business Council.
文摘Since the United Nations launched the Sustainable Development Goals(SDGs)in 2015,global implementation has steadily advanced,yet prominent challenges persist.Progress has been uneven across regions and countries,with Tajikistan representing a typical example of such disparities.Based on 81 SDG indicators for Tajikistan from 2001 to 2023,this study applied a three-level coupling network framework:at the microscale,it identified synergies and trade-offs between indicators;at the mesoscale,it examined the strength and direction of linkages within four SDG-related components(society,finance,governance,and environment);and at the global level,it focused on the overall SDG interlinkages.Spearman’s rank correlation,sliding window method,and topological properties were employed to analyze the coupling dynamics of SDGs.Results showed that over 70.00%of associations in the global SDG network were of medium-to-low intensity,alongside extremely strong ones(|r|value approached 1.00,where r is the correlation coefficient).SDG interactions were generally limited,with stable local synergy clusters in core livelihood sectors.Network modularity fluctuated,reflecting a cycle of differentiation,integration,and fragmentation,while coupling efficiency varied with the external environment.Each component exhibited distinct functional characteristics.The social component maintained high connectivity through the“poverty alleviation-education-healthcare”loop.The environmental component shifted toward coordinated eco-economic governance.The governance-related component broke interdepartmental barriers,while the financial component showed weak links between resource-based indicators and consumption/employment indicators.Tajikistan’s SDG coupling evolved through three phases:survival-oriented(2001–2012),policy integration(2013–2018),and shock adaptation(2019–2023).These phases were driven by policy changes,resource industries,governance optimization,and external factors.This study enriches the analytical framework for understanding the dynamic coupling of SDGs in mountainous resource-dependent countries and provides empirical evidence to support similar countries in formulating phase-specific SDG promotion strategies.
文摘"The end,"wrote the poet T.S.Eliot,“is where we start from.”As I leave the United States this week to start a new journey,memorable scenes from my time in this country keep flashing back in my mind.I visited 22 states and discovered a country different from what I know in Washington,D.C.In the spring,I visited the Kimberley Farm in Iowa,which President Xi Jinping visited in 2012.I tried my hand at driving a John Deere tractor and tasted the local produce.In the fall,I visited a corn and soybean farm in Missouri and was deeplymoved bymy hosts'sincerity and hospitality。
